2024-03-28T15:54:26Z
https://jurnal.ugm.ac.id/index/oai
oai:jurnal.ugm.ac.id:article/17
2017-04-05T06:22:27Z
ijccs:ART
An Evaluation of Suitable Landscape to Crop Food Cultivation By Using Neural Networks
Azis, Anifudin
Sunarminto, Bambang Hendro
Renanti, Medhanita Dewi
Penentuan jenis tanaman pangan yang sesuai ditanam pada lahan tertentu berdasarkan nilai-nilai karakteristik lahan sangat diperlukan sebagai pendukung pengambilan keputusan, koordinasi, dan pengendalian bagi para peneliti, praktisi, dan perencana penggunaan lahan, sehingga kerugian (finansial) yang cukup besar tidak terjadi nantinya. Program komputer dengan menggunakan Jaringan Syaraf Tiruan (JST) metode Learning Vector Quantization (LVQ) dapat digunakan sebagai alat yang tepat dalam memberikan informasi tanaman yang cocok ditanam dengan mudah, cepat, dan akurat. Data pelatihan didapat dari kombinasi nilai karakteristik lahan yang termasuk dalam kelas kesesuaian S1 dan S2. Hasil pengujian menunjukkan bahwa nilai Eps (error minimum yang diharapkan) = 0.005, nilai ?? ?? = 0.05, nilai maksimum epoh = 10, dan nilai pengurangan learning rate sebesar 0.1*?? ?? merupakan nilai-nilai yang cukup efektif dan efisien dalam melakukan prediksi jenis tanaman pangan yang sesuai ditanam pada lahan tertentu karena tingkat ketepatan prediksinya adalah 100%.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/17
10.22146/ijccs.17
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/18
2012-02-13T04:35:02Z
ijccs:ART
A Web Based Expert System for Identifying Bloomed Plants
Sari, Anny Kartika
Aryani, Adriana Sari
This research discusses the development of a web based expert system for identifying bloomed plants. The identification is based on the seven visible features of a bloomed plant, i.e. the root type, the type of the plant, the shape of the flowers, the shape of the leaves, the height of the plant, and the length and the width of the leaves. For inference process, the forward chaining method is used. The system is developed using PHP as the programming language and MySQL as the database management system. Based on some testing conducted to the system, it can be concluded that the system can identify bloomed plants with the accuracy of 100%. The system can accommodate the update on its knowledge as long as the update is only on the available features in the system. This drawback can be used as starting point for the future development of the system.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/18
10.22146/ijccs.18
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/19
2017-04-05T06:22:27Z
ijccs:ART
The Balinese Unicode Text Processing
Habibi, Imam
Munir, Rinaldi
Unicode, transliteration, searching, sorting, word boundary analysis, canonical combining class, normalization, and Unicode Collation Element
In principal, the computer only recognizes numbers as the representation of a character. Therefore, there are many encoding systems to allocate these numbers although not all characters are covered. In Europe, every single language even needs more than one encoding system. Hence, a new encoding system known as Unicode has been established to overcome this problem. Unicode provides unique id for each different characters which does not depend on platform, program, and language. Unicode standard has been applied in a number of industries, such as Apple, HP, IBM, JustSystem, Microsoft, Oracle, SAP, Sun, Sybase, and Unisys. In addition, language standards and modern information exchanges such as XML, Java, ECMA Script (JavaScript), LDAP, CORBA 3.0, and WML make use of Unicode as an official tool for implementing ISO/IEC 10646. There are four things to do according to Balinese script: the algorithm of transliteration, searching, sorting, and word boundary analysis (spell checking). To verify the truth of algorithm, some applications are made. These applications can run on Linux/Windows OS platform using J2SDK 1.5 and J2ME WTK2 library. The input and output of the algorithm/application are character sequence that is obtained from keyboard punch and external file. This research produces a module or a library which is able to process the Balinese text based on Unicode standard. The output of this research is the ability, skill, and mastering of 1. Unicode standard (21-bit) as a substitution to ASCII (7-bit) and ISO8859-1 (8-bit) as the former default character set in many applications. 2. The Balinese Unicode text processing algorithm. 3. An experience of working with and learning from an international team that consists of the foremost experts in the area: Michael Everson (Ireland), Peter Constable (Microsoft US), I Made Suatjana, and Ida Bagus Adi Sudewa.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/19
10.22146/ijccs.19
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/19/2
Copyright (c) 2006 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/20
2012-02-13T04:35:03Z
ijccs:ART
The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
Azis, Anifudin
Rokhman, Nur
Wibowo, Praretno
The exact handling to the postoperative inpatient of the major operation in the restoration period, became one of the factors that very important for the success of the process of medical treatment on the whole. By paying attention to the development of signs and vital signs from the patient, could be made medical by one decision took the form of the further action for the handling of the patient. Using backpropagation neural networks, could be made by a system that could carry out the prediction (forecast) the medical decision that will be taken to the postoperative patient the major's operation. After trining, by accepting sign input and the vital sign of the patient, the system could determine the action that will be carried out against the patient. From results of the test of the application program showed that the backpropagation neural networks could do the prediction of the medical decision with the success to 80%. Therefore, output from the system could be used as consideration of the doctor to decide the further action for the patient.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/20
10.22146/ijccs.20
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/21
2012-02-13T04:35:03Z
ijccs:ART
Evaluation Existential of Medical Record Laboratory at the Diploma 3 Program for Medical Record & Health Information, Mathematics and Natural Science Faculty, Gadjah Mada University
Budi, Savitri Citra
Hariyono, Hariyono
Purwatiningsih, Sri
The availability of Medical Record Laboratory to support Medical Record education is one that the education provider should prepare. In addition, education providers should also organize the usage, instrument provision, HRD provision and clear planning and objectives.The present research used evaluation topic on the existence of Medical Record Laboratory at the Diploma 3 Program for Medical Record and Health Information, MIPA Faculty, Gadjah Mada University. This topic was used by considering the Government Regulation on education provision, especially Medical Record Education (The Regulation of Minister Health Number 1192/Menkes/Per/X/2004) as thinking base. Data were taken from initial survey that the Laboratory was considered as not maximally performed. Base on instrument availability, this laboratory had no complete instrument, especially manually data processing completeness. Moreover, in fact, the usage and planning on this facility had not been well organized, while there was mostly high demand on the usage. To this end, evaluation was highly required for future progress. Evaluation was gradually performed. First was evaluation on input related technology, human resources, costs, facilities and management. Second was evaluation on process related to whether the planned activities had been completed or not. Third, evaluation on inputs related to attitudes, norms and skill knowledge of those involved in the laboratory (staffs, students, and stakeholder).The present research exploited descriptive method with qualitative approach using single data variable (the existence of Medical Record Laboratory at the Diploma 3 Program for Medical Record and Health Information Gadjah Mada University). Data were collected using source triangulation approach through data cross-checking with fact from other sources. Data analysis was performed by comparing data taken to the existing standard (Government Regulation and theory). To simplify discussion, data were discussed based on principle elements of health services, among others, including: inputs, process, and outputs.Evaluation on the existence of laboratory was presumably exploited to consider future development and management as expected that this Laboratory could be taken as example for medical record management in hospitals.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/21
10.22146/ijccs.21
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/22
2012-02-13T04:35:03Z
ijccs:ART
Implementation for Chipper's Software - NHILL
Agus, Fahrul
Sandi (cipher) adalah suatu jenis bahasa yang banyak digunakan dalam proses penyampaian pesan yang bersifat rahasia. Pengkajian penyandian yang merupakan kode rahasia dimulai sejak awal adanya komonikasi tertulis. Namun akhir-akhir ini kriptografi mendapat perhatian karena dianggap mampu memelihara keleluasaan pribadi atau kelompok dari pesan yang dipancarkan melalui komonikasi umum. Tulisan ini memuat laporan penelitian tentang tahap implementasi pengembangan perangkat lunak komputer yang bernama SoftHill yaitu perangkat lunak penyandian yang menerapkan metode penyandian N-Hill. Implementasi perangkat lunak ini dibangun berdasarkan pada dokumen analisis kebutuhan dan perancangan SoftHill yang laporannya dibuat pada tulisan di buku jurnal yang lain. Hasil implementasi perangkat lunak ini antar lain berupa algoritma beberapa proses penting dalam penyandian N-Hill diantaranya algoritma Proses Pkel, Proses PkonvN, Proses PkonvH, Proses Pkali dan Proses PInvers. Adapun intervase antar muka dibangun dengan menggunakan alat bantu pengembangan Delphi yang beroperasi di lingkungan sistem operasi Windows.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/22
10.22146/ijccs.22
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/23
2012-02-13T04:35:03Z
ijccs:ART
Design and Implementation 3D Karambol Game Application Using DirectX
Pamungkas, Aji
Nugradito, Azhari S
The 3D game industry in Indonesia is increasing that can be seen by many game centre are always full of customers. But most of the game centre are not using original software because an original one can be very expensive. That is not the only reason, the other reason is that not many Indonesian are developing their own game software. And these increase the use of pirated game software. In this final assignment has been designed and developed, a game application titled 3D Karambol. This application is using DirectX and capable to process karambol game -a tradisional game from Indonesia-, to transform the game objects in 3D world, to do collision detection between those objects and to interact with the users through input device such as keyboard and mouse.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/23
10.22146/ijccs.23
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/24
2012-02-13T04:35:03Z
ijccs:ART
An Application of Fuzzy Inference System by Clustering Subtractive Fuzzy Method for Estimating of Product Requirement
Tufeil, Fajar Ibnu
Musdholifah, Aina
Model fuzzy memiliki kemampuan untuk menjelaskan secara linguistik suatu sistem yang terlalu kompleks. Aturan-aturan dalam model fuzzy pada umumnya dibangun berdasarkan keahlian manusia dan pengetahuan heuristik dari sistem yang dimodelkan. Teknik ini selanjutnya dikembangkan menjadi teknik yang dapat mengidentifikasi aturan-aturan dari suatu basis data yang telah dikelompokkan berdasarkan persamaan strukturnya. Dalam hal ini metode pengelompokan fuzzy berfungsi untuk mencari kelompok-kelompok data. Informasi yang dihasilkan dari metode pengelompokan ini, yaitu informasi tentang pusat kelompok, digunakan untuk membentuk aturan-aturan dalam sistem penalaran fuzzy. Dalam skripsi ini dibahas mengenai penerapan fuzzy infereance system dengan metode pengelompokan fuzzy subtractive clustering, yaitu untuk membentuk sistem penalaran fuzzy dengan menggunakan model fuzzy Takagi-Sugeno orde satu. Selanjutnya, metode pengelompokan fuzzy subtractive clustering diterapkan dalam memodelkan masalah dibidang pemasaran, yaitu untuk memprediksi permintaan pasar terhadap suatu produk susu. Aplikasi ini dibangun menggunakan Borland Delphi 6.0. Dari hasil pengujian diperoleh tingkat error prediksi terkecil yaitu dengan Error Average 0.08%.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/24
10.22146/ijccs.24
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/25
2012-02-13T04:35:03Z
ijccs:ART
The Use Of Color, Wavelet Coefficient and Texture Features
Awang, Kridalaksana Harsa
Harjoko, Agus
A Query-by-Image ability often required in many multimedia or video database application. In this case the system retrieves similar images found in the database whose features are the same as the features of the query image. The key performance is in the selection of a set of features used for characterizing images in the video database. In this research a method for searching images in a video database is developed. The method accepts an image as its input and find similar images in the database. Three features are selected to characterize images in the database : color histogram, wavelet coefficients and texture. The method is tested on video database consisting eleven videos represented in RGB dan YCbCr color models. It was found that the method found all query images as long as the quality of the input image is good.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2009-06-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://jurnal.ugm.ac.id/ijccs/article/view/25
10.22146/ijccs.25
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 1 (2006): January
2460-7258
1978-1520
Copyright (c) 2009 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/1994
2017-01-19T03:20:06Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/1995
2017-01-19T03:20:06Z
ijccs:ART
An Implementation of Catmap-Rijndael (AES) Algorithm For Image Security (Case Study on A Software For Making Students Card At Universitas Jenderal Soedirman)
Wijayanto, Bangun
Wardoyo, Retantyo
Abstract— The function of image encryption is to transform known have that meaning to images that cannot be read or irregular images in order to security. Storing the image data in local computer system will bring some risks on the image security.The aim of this research is to construct an image encryption system based on Catmap-Rijndael algorithm. The system is implemented on a software form making students card at Universitas Jenderal Soedirman. The result shows that the combination of Catmap-Rijndael algorithm on bitmap image 200x200 pixel by using 3 times repetition of the Catmap algorithm (with parameter a=1 and b=1) can overcome the problem of textured of the object that caused by base colour on the image and uniform histogram of the encrypted image in short time process.Keywords— Rijndael, AES, Catmap, image security, students card.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-10
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/1995
10.22146/ijccs.1995
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/1995/1799
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/1996
2017-04-05T06:17:31Z
ijccs:ART
Utilizing Soft Computing for Determining Protein Deficiency
Hartati, Sri
Nurdiati, Sri
Abstract— In recent years, the occurrence of protein shortage of children under 5 years old in many poor area has dramatically increased. Since this situation can cause serious problem to children like a delay in their growth, delay in their development and also disfigurement, disability, dependency, the early diagnose of protein shortage is vital. Many applications have been developed in performing disease detection such as an expert system for diagnosing diabetics and artificial neural network (ANN) applications for diagnosing breast cancer, acidosis diseases, and lung cancer. This paper is mainly focusing on the development of protein shortage disease diagnosing application using Backpropagation Neural Network (BPNN) technique. It covers two classes of protein shortage that are Heavy Protein Deficiency. On top of this, a BPNN model is constructed based on result analysis of the training and testing from the developed application. The model has been successfully tested using new data set. It shows that the BPNN is able to early diagnose heavy protein deficiency accurately. Keywords— Artificial Neural Network, Backpropagation Neural Network, Protein Deficiency.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/1996
10.22146/ijccs.1996
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/1996/1800
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/1997
2017-01-19T03:20:06Z
ijccs:ART
Implementasi Protokol Diffie-Hellman Dan Algoritma RC4 Untuk Keamanan Pesan SMS
Hendarsyah, Decky
Wardoyo, Retantyo
Abstrack— SMS now becomes such a need for cellular phone users to communicate to other people. But the cellular phone users do not realize that the sent messages could be intercepted or changed by an unwanted party. Therefore it requires a security in sending an SMS message which is called cryptography. Given limited resources on cellular phone, then the implementation of symmetric cryptographic technique is suitable to meet the security needs of an SMS message. In symmetric cryptography, there is a symmetric key for encryption and decryption process. In order to secure exchange of symmetric keys in public channels is required of a protocol for key exchange.This research implements RC4 symmetric cryptography to encrypt and decrypt messages, while for key exchange is using Diffie-Hellman protocol. In this research, there are modifications to the Diffie-Hellman protocol that is the calculation of the public key and symmetric key to include cellular phone number as authentication. Whereas on a modified RC4 is the key where there is a combination with cellular phone number as authentication and key randomization, and then there are also modifications to the pseudorandom byte generator, encryption and decryption of the RC4 algorithm. The system is constructed using the Java programming language in the platform Micro Edition (J2ME) based MIDP 2.0 and CLDC 1.0.The research found that with the cellular phone number as authentication, key, encryption and decryption process automatically it is able to maintain confidentiality, data integrity, authentication and non-repudiation to the message. Keywords— Diffie-Hellman, Key exchange, RC4, SMS Secure, Symmetric Cryptography.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2015-06-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/1997
10.22146/ijccs.1997
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/1997/1801
Copyright (c) 2015 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/1999
2017-01-19T03:20:06Z
ijccs:ART
Text Document Retrieval In English Using Keywords of Indonesian Dictionary Based
Wibowo, Jati Sasongko
Hartati, Sri
Abstract— Cross language information regtrieval at the present moment is crucial to the amount of available information use the language variety. Mean while the user who have mastering another language is very less. So with the appointment system of cross language information retrieval is expected.Information retrieval applications on this system to search for text documents in English using keyword of Indonesian dictionary-based. This system was built by several stages starting from collection of documents data by using crawler, entering documents data into a corpus table, punctuation removal, tokenization of documents, stopword removal and term weighting.The ability of this system can add documents data, dictionaries data and stopword data. It is enable to retrieval text documents in English that contains keyword of Indonesian with dictionary-based. Results of documents retrieval was ranked based on the calculation of term weights. Able to see the contents of the document and open the original document. The development of this system can be used as a cross language information retrieval system on dictionary based.Keywords— retrieval information, dictionary based, cross language.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/1999
10.22146/ijccs.1999
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/1999/1802
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2000
2017-01-19T03:20:06Z
ijccs:ART
Design And Implementation of Document Similarity Search System For WEB-Based Medical Journal Management
Utomo, Mardi Siswo
Winarko, Edi
Abstract— Document similarity can be used as a reference for other information searches similar. So as to reduce the time-re-appointment for information following a similar document. Document similarity search capability is usually implemented on the features 'related articles'.Similarity of documents can be measured with a cosine, with preprosesing conducted prior to the document that will be measured. The indexing process and the measurement takes a relatively long excecution time. Problems with a web-based application to conduct the process and measuring the similarity index is a limited execution time, so the processing index and similarity measure in web-based application needs its own programming techniques.Problems with a web-based application to conduct the process and measuring the similarity index is a limited execution time, so the processing index and similarity measure in web-based application needs its own programming techniques.The purpose of this research is to design and create a software that give capability for web-based database management system of medical journals in Indonesian language to find other documents similar to the current document in reading at the time.The results of this research is the mechanism autoreload javascript and session cookies and can break down the process and measurement index similaritas into several small sections, so the process can be performed on web-based applications and the number of relatively large documents.Results with the cosine similarity measure in the case of Indonesian-language medical journal “Media medika Indonesiana” has a fairly high accuracy of 90%. Keywords— document similarity, cosine measure, web-based application.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2000
10.22146/ijccs.2000
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2000/1803
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2001
2017-01-19T03:20:06Z
ijccs:ART
Aplikasi Mobile WEB Map Service Pada Mobile Device Dengan SVGT
Priyanta, Sigit
Imanuddin, Ghulam
Prilistya, Suci Karunia
Abstract— Teknologi informasi geografi berkembang sangat pesat dalam beberapa dekade terakhir ini. Sekarang ini, WMS (Web Map Services) tidak hanya dapat menghasilkan gambar raster tetapi juga gambar vektor. Contohnya adalah SVGT (Scalable Vector Graphics Tiny) yang merupakan bagian dari SVG (Scalable Vector Graphics) yang digunakan pada piranti mobile device. Mahalnya biaya komunikasi antara handheld device dengan jaringan internet melalui GPRS (Global Pocket Radio System) menimbulkan sebuah masalah dalam penerapan aplikasi mobile mapping. Untuk mengeliminasi masalah tersebut, harus dibuat sebuah aplikasi mobile mapping yang dapat mentransfer data sekecil mungkin. Didalam penelitian ini, dicoba untuk dibuat sebuah server pemetaan yang memanfaatkan teknologi SVGT dan XML. Kedua format data tersebut digunakan untuk menghasilkan data sekecil mungkin agar dapat menghemat biaya komunikasi antara klien dan server. Pada akhirnya, aplikasi yang dibangun akan menjadi sebuah server yang memiliki klien berupa handheld / mobile device.Aplikasi ini dibangun dengan bahasa pemrograman PHP dan memanfaatkan database PostgreSQL beserta ekstensi PostGIS-nya pada sisi server dan J2ME (Java 2 Micro Edition) pada sisi mobile client. Aplikasi yang telah dibangun mampu untuk menampung peta jalan dari sebuah daerah, menampilkannya dalam format SVGT kepada klien, serta mencari rute terpendek antara dua buah jalan dengan menggunakan algoritma Floyd-Warshall. Mobile device sebagai client mempunyai beberapa fungsi utama, yaitu download map dengan format SVGT dari server, menyimpan map ke dalam record store, menampilkan map dan juga melakukan fungsi pan dan zoom terhadap map. Fungsi lainnya adalah searching atau mencari titik tertentu pada map sesuai dengan permintaan user, request path ke server untuk mendapatkan jalur terpendek antara dua titik, dan set mark atau menyimpan titik-titik pada peta yang telah diberi tanda oleh user.Keywords— SVG, SVGT, Mobile Mapping, Web Map Services, J2ME, Java 2 Micro Editon.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2001
10.22146/ijccs.2001
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2001/1804
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2007
2017-01-19T03:20:06Z
ijccs:ART
Deteksi Steganografi Berbasis Least Significant Bit (LSB) Dengan Menggunakan Analisis Statistik
Rokhman, Nur
Maharanti, Juwita
Abstrak— Pada penelitian ini dicoba dideteksi penyisipan pesan pada sebuah citra yang dilakukan dengan teknik Least Significant Bit. Deteksi dilakukan dengan teknik Chi-square attack. Pada teknik ini dibandingkan distribusi frekuensi yang diharapkan secara teori dengan beberapa distribusi sampel yang diamati pada stego-image.Pada penelitian ini dilakukan steganalisis terhadap 10 macam citra yang disisipi dengan sebuah pesan yang berukuran 1kb, 2 kb dan 5 kb. Dicobakan juga 2 penyisipan berbeda, yakni dengan program Stegano dan StegoGraphyBMP.Dari percobaan yang dilakukan pada sepuluh stego-image dengan panjang pesan 1kb, 2kb, dan 5kb, Chi-square attack berhasil 80% mendeteksi pesan yang disisipkan pada sebuah citra dengan program Stegano dan berhasil 70% mendeteksi pesan yang disisipkan pada sebuah citra dengan program StegoGraphyBMP. Disamping itu diperoleh hasil bahwa ukuran pesan tidak berpengaruh pada proses steganalisis. Keywords— Steganalisis, Chi-square.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-12
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2007
10.22146/ijccs.2007
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2007/1811
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2008
2017-01-19T03:20:06Z
ijccs:ART
Detecting A Botnet By Reverse Engineering
Kelana, Oesman Hendra
Mustofa, Khabib
Abstract— Botnet malware is a malicious program. Botnet that infects computers, called bots, will be controlled by a botmaster to do various things such as: spamming, phishing, keylogging Distributed Denial of Service (DDoS) and other activities that are generally profitable to the owner of the bot (botmaster) or those who use botnet services. The problem is that many computers have been controlled by botnets without the knowledge of the computer owner. There are many ways to examine botnets, for example by studying the traffic from the botnet network, studying how botnets communicate to each, studying how each robot receives orders to do something, and so forth. Of the many methods, the most frequently and commonly used is the reverse engineering, where researchers study how a botnet works by botnet debugging.In this study the author tries to understand or research botnets by taking a type of botnet, namely Agobot, using reverse engineering. One of the result of the research is that malware program files in general and in particular botnet has a technique to obscure the way that research using reverse engineering.Another result also shows that the botnet Agobot runs on computers by using the Windows service, and by changing the Windows registry so that every time the computer starts, Agobot always actively works in the computer memory.Keywords— Malware, Bot, Botnet, Botmaster, Agobot, Spam, Distributed Denial of Services, Identity Theft, Computer Security, Reverse Engineering, Debug, Windows Service, the Registry.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-12
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2008
10.22146/ijccs.2008
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2008/1812
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2009
2017-01-19T03:20:06Z
ijccs:ART
WEB Services Implementation on The Report of Dengue Hemorrhagic Fever (DHF) At Health Office Karanganyar
Saputra, Ragil
Ashari, Ahmad
Abstract— Dengue Hemorrhagic Fever (DHF) is one of the infectious diseases that frequently leads to Extraordinary Situation. The management of report is conducted by Health Community Center which subsequently gives report to Health Office. A problem arising from the report management is the fact that the report is conducted manually, therefore, the data is less valid and is not processed as quickly as possible. The quick and accurate data report system enables to lessen the risk of Dengue Hemorrhagic Fever. Due to this fact, it is undeniable necessary to provide an integrated inter-system of Dengue Fever report. This system includes an inter-system between one Health Community Center to another and to the system in Health Office. The integration of inter-system report is able to be conducted by the use of web service technology. Therefore, this research focuses on the development of Web Service based integrated system on the report of Dengue Fever. Data exchange is conducted in XML form by the application of SOAP and WSDL technologies. Library NuSOAP is necessary to provide class soapClient and soapServer. In other words, it functions as the listener whose functions are to receive and to respond at the access demand toward web service. The result is web service based report system which has dual functions since the system has functions to be either server or client.Keywords— web service, integration, SOAP, DHF.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-06-12
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2009
10.22146/ijccs.2009
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2009/1813
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2010
2017-01-19T03:20:06Z
ijccs:ART
Facial Expression Recognition By Using Fisherface Methode With Backpropagation Neural Network
Abidin, Zaenal
Harjoko, Agus
Abstract— In daily lives, especially in interpersonal communication, face often used for expression. Facial expressions give information about the emotional state of the person. A facial expression is one of the behavioral characteristics. The components of a basic facial expression analysis system are face detection, face data extraction, and facial expression recognition. Fisherface method with backpropagation artificial neural network approach can be used for facial expression recognition. This method consists of two-stage process, namely PCA and LDA. PCA is used to reduce the dimension, while the LDA is used for features extraction of facial expressions. The system was tested with 2 databases namely JAFFE database and MUG database. The system correctly classified the expression with accuracy of 86.85%, and false positive 25 for image type I of JAFFE, for image type II of JAFFE 89.20% and false positive 15, for type III of JAFFE 87.79%, and false positive for 16. The image of MUG are 98.09%, and false positive 5.Keywords— facial expression, fisherface method, PCA, LDA, backpropagation neural network.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2010
10.22146/ijccs.2010
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 1 (2011): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2010/1814
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2011
2017-01-19T03:20:30Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/2012
2017-01-19T03:20:30Z
ijccs:ART
Aplikasi Sistem Pendukung Keputusan Distribusi Air Bersih dengan Fuzzy Integer Transportation
Arifin, Aridhanyati
Hartati, Sri
Abstrak— Kebutuhan air bersih di kota-kota berkategori urban semakin lama semakin meningkat, sementara produktivitas air menurun disebabkan oleh berbagai alasan. Persoalan yang harus dipecahkan adalah bagaimana agar distribusi air ke tujuan berjalan secara simultan, yakni antara supply air dengan demand pelanggan ditengah minimnya anggaran biaya. Perlu dicari keputusan bagi perencanaan distribusi yang baik untuk mengalokasikan air, dari sejumlah sumber air menuju sejumlah tujuan (kota). Oleh karena itu, diperlukan sistem terkomputerisasi yang memiliki kemampuan dalam memberikan dukungan untuk pengambilan keputusan, maka perlu dirancang suatu sistem pendukung keputusan (SPK) yang dapat membantu manajemen distribusi air bersih. SPK ini mengimplementasikan Fuzzy Integer Transportation dengan nilai fuzzy supply, fuzzy demand dan fuzzy goal yang diekspresikan melalui bilangan fuzzy. Tabel transportasi dipakai untuk mempermudah pemodelan nilai supply dan demand yang ber-interval. Sebuah algoritma khusus digunakan agar dapat menghasilkan solusi integer yang optimal sehingga dapat meningkatkan efisiensi pencarian. Selain itu pemecahan masalah distribusi ini memakai pendekatan Vogel’s Approximation Method (VAM), memberikan solusi yang feasible bagi total biaya distribusi. Output sistem adalah total biaya distribusi dan jumlah air yang didistribusikan ke masing-masing tujuan. Kata Kunci— Sistem Pendukung Keputusan, Fuzzy Integer Transportation, VAM
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2012
10.22146/ijccs.2012
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2012/1816
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2013
2017-04-04T04:46:30Z
ijccs:ART
Sistem Pendukung Keputusan Pemilihan Subkontrak Menggunakan Metode Entropy dan TOPSIS
Jamila, Jamila
Hartati, Sri
DSS; Decision Support System; Entropy; TOPSIS; Subcontract
Abstract— Outsourcing is a part of production process of manufacturing industry which contribute for suitainability of a manufacture process. Choosing appropriate subcontractor which match spesification is not easy. In order to help company in determining credible subcontractors is needed a decision support system.Selection of decision support system for the production of subcontracting gloves uses Entropy and TOPSIS methods. Entropy method is used to give weight to the criteria. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used to select the best subcontractors, where subcontracting was elected not only has the shortest distance from the positive ideal solution but it also has the longest distance from the negative ideal solution. Designing of systems use ERD and DFD for identifying the needs of users and systems, and as for guiding the software implementation. The results of this research are the establishment of an application used to select subcontractors based on established criteria. Test results on the application can provide decision input/suggestion, although the criteria used in making decision is different. Subcontract selection decision support system can be an alternative to choose subcontractors for the production of gloves in PT. Adi Satria Abadi Yogyakarta.Keywords— DSS, Decision Support System, Entropy, TOPSIS, Subcontract
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2013
10.22146/ijccs.2013
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2013/1817
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2014
2017-01-19T03:20:30Z
ijccs:ART
Implementasi Metode Fuzzy TOPSIS untuk Seleksi Penerimaan Karyawan
Lestari, Sri
Priyodiprodjo, Widodo
Abstract —An emerging institution would continue to need qualified workers to produce good performances. Seeing the importance of high quality employees, the candidate selection process became an important part and should be performed promptly. It is also important to have candidates with desirable criteria fit to the institution. Many proposed methods can be adapted to help employee selection process based on criteria. This research propose an employee selection system based on Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, because the proposed method capable to deal with multi dimensional problems in employees selection. The system will produce ranks that can be used to help the hiring decision. This research also compares the results from TOPSIS method and WPM method. The comparison result shows that both methods produce the same ranks for the chosen candidates.Keywords— Fuzzy TOPSIS, WPM, Employee Selection.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2014
10.22146/ijccs.2014
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2014/1818
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2015
2017-03-25T02:49:15Z
ijccs:ART
Fuzzy AHP Non-Additive Pada Keputusan Pendirian Klinik Bersalin Daerah
Awaluddin, Awaluddin
Wardoyo, Retantyo
AHP(Analitycal Hierarchy Process); non-additive; TFN (Triangular Fuzzy Number); upper excepted value
Abstrak— Tingginya jumlah kematian ibu dan anak menempatkan Indonesia di rangking teratas kawasan Asia Tenggara.Penelitian yang dilakukan untuk mengurangi jumlah angka kematian ibu dan anak yaitu penyedian sarana dalam hal ini klinik bersalin disuatu daerah, demi tercapainya Milenium Development Goals (MDGs) di tahun 2015.Pengumpulan data yang mendukung penelitian ini, yaitu melakukan konsultasi dengan kepala Dinas Kesehatan Sulawesi Selatan sehingga dihasilkan kriteria-kriteria terbaik dalam pendirian klinik bersalin. Kriteria-kriteria tersebut disusun berdasarkan studi literatur, observasi, dan wawacara.Selanjutnya kriteria tersebut diberi penilaian perbandingan berpasangan dengan AHP untuk mencari bobot prior dengan skala penilaian antara 1 – 9, sedangkan untuk mencari bobot informasional dan upper excepted value menggunakan TFN (Triangular Fuzzy Number).Hasil yang didapat dengan menggunakan Fuzzy AHP non-additive dalam pendirian klinik bersalin menunjukkan bahwa kriteria prevalensi, penduduk, kesakitan, petugas, dan sarana merupakan kriteria utama dalam pendirian klinik besalin. Metode Fuzzy AHP non-additive didalam penilaian tingkat konsistensi dilakukan pada setiap level struktur hirarki dan mampu mengakomodir ketidak konsistenan dalam penilaian.Kata Kunci— AHP(Analitycal Hierarchy Process), non-additive, TFN (Triangular Fuzzy Number), upper excepted value.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2015
10.22146/ijccs.2015
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2015/1819
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2016
2017-01-19T03:20:30Z
ijccs:ART
Sistem Pendukung Keputusan Klinis dengan Memanfaatkan Jaringan Syaraf Tiruan Untuk Mendeteksi Stadium Penderita Kanker Paru-Paru Jenis Karsinoma Bukan Sel Kecil
Kurniawan, Rio
Hartati, Sri
Abstract-- Lung cancer is leading cause of death in the cancer group. In general, lung cancer has some symptoms, but at an early stage, symptoms are not perceived by the patient. As a result, when patients go to hospital, lung cancer has been diagnosed in middle or high stage. For early detection of lung cancer, necessary a decision support system based on computerized technology that can be utilized by doctor needed to detection lung cancer. The clinical decision support system will help to determine specific medical treatment. The clinical decision support system capable to know data input and produce output result by learning process. The learning process is part of process in artificial neural network (ANN). Many methods used in ANN as Backpropagation (BP)learning algorithm. BP used to produce output result in decision support system. Keywords-- lung cancer, stage, clinical decision support systems, neural network, multilayer perceptron, backpropagation algorithm
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2016
10.22146/ijccs.2016
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2016/1820
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2017
2017-01-19T03:20:30Z
ijccs:ART
Rancang Bangun Fault Tolerance pada Sistem Database untuk Aplikasi Point Of Sale
Oei, Standy
Ashari, Ahmad
Abstract— A fault tolerant system is a system that has the ability to be able to continue its jobs properly although there is a fault in hardware or software of the system. A system that has a fault tolerant capability is usually critical or important system. For example is at Point Of Sale application. Point Of Sale Application has evolved from offline-based toward online-based. With an online-based, the existence of a central database server must be guaranteed free from failure.To get a central database server that is free from failure is impossible. Something that can be cultivated is to create a system that can tolerate a failure in the central database server. This is done with the help of a second central database server (slave), which is useful as a replication of the central database server (master). To ensure data from these two central database servers are the same, then used the concept of reading and writing "read one/write all". And to manage all the processes needed in implementing a fault tolerant application, we need the help from a coordinator.The result obtained in this research is a design of fault tolerant architecture that can be applied to various types of information system applications include Point Of Sale application. By using this fault tolerant architecture that has been built, Point Of Sale application can still run the transaction process even if there is a failure in accessing data in one central database server (master/slave). Keywords— fault tolerance, database system, point of sale application
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2017
10.22146/ijccs.2017
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2017/1821
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2018
2017-01-19T03:20:30Z
ijccs:ART
Reversible Watermarking dengan Metode Modifikasi Histogram pada Difference Image
Retno, Yustina
Harjoko, Agus
Abstract— Reversible watermarking schemes are widely used to maintain the authenticity of the digital image. This research will discuss a method on histogram modification of difference image in which the difference image is created from the difference value of adjacent pixels of the image grayscale. Embedding process begins by dividing the host image and watermark into b blocks, followed by making a difference image of the host image block. From the difference image histogram, determine the peak value, and modify the histogram based on the peak value. Then, insert each block of the watermark to the difference image that has been modified and transform back into the grayscale image.Extraction and recovery process is the inverted version of the embedding stage. This process begins by dividing the watermarked image into b blocks, followed by making a difference image of each block. Then, extract the data and shift difference image histogram using a peak value. That difference image is transformed back into a grayscale image. Experimental results demonstrate that the average insertion capacity is 14% greater than Xue's with PSNR value over 48 dB for 4 x 4 pixels and 23 % greater with PSNR over 46 dB for 8 x 8 pixels. From the comparison of robustness to line and salt n’ pepper on the density of 0.05 noises is obtained that the watermark with ECC is more robust than a watermark without ECC. JPEG compression in lossless mode may be applied to the watermarked image. Multiple insertion of watermark can be done with the consequence that the more insertions will result in lower PSNR values.Keywords—difference image, histogram modification, reversible watermarking
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2018
10.22146/ijccs.2018
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2018/1822
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2019
2017-01-19T03:20:30Z
ijccs:ART
Analisis Fitur Kalimat untuk Peringkas Teks Otomatis pada Bahasa Indonesia
Zaman, Badrus
Winarko, Edi
Abstract— Automatic Text Summarization (ATS) is a technique to create a summary of the document automatically by using computer applications to produce the most important information from the original document. Features are required to perform weighting of sentences, including Log-TFISF (term frequency index sentence frequency), sentence location, sentence overlap, title overlap and sentence relative length. This research conducted an analysis of five features in order to determine the weights of each feature that will get the results of a coherent summary. The five features are implemented in automated text summarization system in Indonesian language that was developed using the method of relative importance of topics. Results from experiments show that sentence location feature has the highest F-Measures namely 0.46 and then consecutive sentence overlap, title overlap, sentence relative length and Log-TFISF, with a value of 0.42, 0.42, 0.35 and 0.32. Relative weights of feature extraction consecutive from the largest are sentence location, sentence overlap, title overlap, sentence relative length and Log-TFISF with a value of 0.25, 0.22, 0.22, 0.19 and 0.12. These relative weights are implemented on ATS, so we get accuracy of 70.62%. It is more accurate 2,86% than without relative weights which accuracy of 67,72%.. .Keywords— Automatic Text Summarization (ATS), Log-TFISF, sentence location, sentence overlap, title overlap, sentence relative length, bahasa Indonesia
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2019
10.22146/ijccs.2019
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2019/1823
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2020
2017-03-25T03:31:42Z
ijccs:ART
A New Approach of Fuzzy-Wavelet Method’s Implementation in Time Series Analysis
Hansun, Seng
Subanar, Subanar
fuzzy, wavelet, time series, soft computing
Abstract— Recently, many soft computing methods have been used and implemented in time series analysis. One of the methods is fuzzy hybrid model which has been designed and developed to improve the accuracy of time series prediction. Popoola has developed a fuzzy hybrid model which using wavelet transformation as a pre-processing tool, and commonly known as fuzzy-wavelet method. In this thesis, a new approach of fuzzy-wavelet method has been introduced. If in Popoola’s fuzzy-wavelet, a fuzzy inference system is built for each decomposition data, then on the new approach only two fuzzy inference systems will be needed. By that way, the computation needed in time series analysis can be pressed. The research is continued by making new software that can be used to analyze any given time series data based on the forecasting method applied. As a comparison there are three forecasting methods implemented on the software, i.e. fuzzy conventional method, Popoola’s fuzzy-wavelet, and the new approach of fuzzy-wavelet method. The software can be used in short-term forecasting (single-step forecast) and long-term forecasting. There are some limitation to the software, i.e. maximum data can be predicted is 300, maximum interval can be built is 7, and maximum transformation level can be used is 10. Furthermore, the accuracy and robustness of the proposed method will be compared to the other forecasting methods, so that can give us a brief description about the accuracy and robustness of the proposed method. Keywords— fuzzy, wavelet, time series, soft computing
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2020
10.22146/ijccs.2020
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2020/1824
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2021
2017-01-19T03:20:30Z
ijccs:ART
Implementasi Sistem Pelacakan Kendaraan Bermotor Menggunakan Gps Dan Gprs Dengan Integrasi Googlemap
Muchlisin, Yazid Dul
Istiyanto, Jazi Eko
Abstract— Vehicle tracking system using GPS and GPRS integration googlemap provide information that is maximized with the technology of GPS (Global Positioning System) receiver which can indicate the position of the vehicle with the map and the ability of the appointment of direction and position coordinates (x, y or latitude, longitude) textually and visual at any location. Vehicle tracking system is built using equipment GIS (Geographic Information System) and dedicated to smartphones which support Global Positioning System (GPS), as well as portable computers, using General Packet Radio Service (GPRS) as a connection to the internet. The hardware used is a smartphone that supports GPS with supporting tools used are GoogleMaps, Notepad + +, NetBeans IDE 6.5.1, Mysql, Java (J2ME), PHP, JavaScript. The results of this system in the form of tracking system capable of monitoring the movement of vehicles on an ongoing position by utilizing GPS and GPRS as the sender of the wireless data and Internet connections. Keywords— GIS, GPS, GPRS, googlemaps, J2ME,
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2021
10.22146/ijccs.2021
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2021/1825
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2035
2017-01-19T03:21:20Z
ijccs:ART
Rancang Bangun Keamanan Web Service Dengan Metode Ws-Security
Muzakir, Ari
Ashari, Ahmad
AbstrakWeb service menggunakan teknologi XML dalam melakukan pertukaran data. Umumnya penggunaan web service terjadi pertukaran data ataupun informasi penting yang perlu dijaga keamanannya. Bentuk pengamanan yang diterapkan pada web services adalah dengan penggunaan teknik kriptografi kunci-publik. Adapun serangan dapat berupa pengintaian, perusakan maupun pencurian data. Salah satu cara penyelesaian terbaik adalah dengan membuat data tersebut tidak dapat dibaca orang lain. Implementasi yang telah dilakukan dengan menggunakan library keamanan akan memberikan kemudahan dalam membangun keamanan web service karena dengan dukungan library XMLSEC sebagai library pendukung dan library class_wss yang telah dibangun mampu mengatasi masalah keamanan pada jalur transport khususnya untuk otentikasi, otorisasi, dan konfidensialitas pesan SOAP request. Model WS-Security dengan menggunakan XML Signature, XML Encryption, serta Security Token yang memanfaatkan algoritma kriptografi RSA dengan panjang kunci 1024 bit mampu memberikan perlindungan terhadap transmisi data antara client dan server web service. Pengujian yang dilakukan pada web service dengan menerapkan model library class_wss sebagai keamanan web service yang dibangun memberikan hasil yang baik, yaitu pesan SOAP request terenkripsi dan mampu didekripsi dengan baik serta dapat tertandatangani dan dicek keasliannya.Kata kunci— Keamanan Web Service, XML Signature, XML Encryption, Security Token. Abstract Web service uses XML technology to exchange data in. Generally, the use of the web service exchanges data or important information that needs to be guarded security. Form of security is applied to web services is to use public-key cryptography techniques. The attack can be a reconnaissance, destruction or theft of data. One way the best solution is to create data that can not read anyone else, even if someone else managed to retrieve the data, he will not be able to read it. The implementation was done by using the security library will provide facilities in developing a web security service for the library support XMLSEC as library supporters and library class_wss that have been built able to overcome the problem of security on the transport path, especially for authentication, authorization, and confidentiality request SOAP message. Model WS-Security using XML Signature, XML Encryption, and Security Token which utilizes the cryptographic algorithm RSA with 1024 bit key length to provide protection against transmission of data between client and server web service. Tests performed on the web service by implementing a security model class_wss library web service that is built to give good results, the SOAP request message is encrypted and decrypted with a good and able to sign and check their authenticity too.Keywords— Web Service Security, XML Signature, XML Encryption, Security Token
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2012-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2035
10.22146/ijccs.2035
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2035/1839
Copyright (c) 2012 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2036
2017-01-19T03:21:20Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/2037
2017-01-19T03:21:20Z
ijccs:ART
Sistem Pendukung Keputusan Pengalokasian Spare Part
Wiryasaputra, Rita
Hartati, Sri
AbstrakEra informasi yang semakin berkembang mempengaruhi lingkungan bisnis. Pengaruhnya dapat dilihat pada proses pengambilan keputusan. Proses pengambilan keputusan terhadap sejumlah alternatif dan sejumlah tujuan diselesaikan dengan sebuah sistem. Sistem yang bermodelkan Multi Attribute Decision Making (MADM) dan Multi Objective Decision Making (MODM). Model MODM digunakan untuk menyelesaikan perancangan alternatif terbaik dan model MADM digunakan untuk menyelesaikan penyeleksian terhadap beberapa alternatif dalam jumlah yang terbatas. Salah satu pendekatan model MADM adalah TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Konsep utama TOPSIS adalah alternatif preferensi terbaik memiliki jarak terpendek dari solusi ideal positif dan memiliki jarak terjauh dari solusi ideal negatif. Hasil metode TOPSIS adalah perankingan terhadap sejumlah alternatif. Salah satu masukan dari metode TOPSIS adalah nilai pembobotan kriteria. Nilai pembobotan kriteria dapat diberikan secara langsung oleh pengambil keputusan atau dihitung melalui sebuah metode. Penelitian akan menghitung nilai pembobotan kriteria dengan metode Entropy. Tujuannya adalah untuk memberikan objektifitas pembobotan kriteria. Penelitian mengangkat kasus tentang pengalokasian spare part ke sejumlah store. Alternatif terbaik dengan sumber daya yang terbatas, beberapa tujuan yang saling bertentangan didekati dengan metode Goal programming. Pengambilan keputusan akan lebih terarah karena sistem menghasilkan perankingan store spare part, dan menampilkan informasi alokasi spare part. Kata kunci— Sistem Pendukung Keputusan, Entropy, TOPSIS, Goal Programming AbstractThe capabilities of computrized systems facilitate decision support in a number of ways, such as speed computations, increased productivity ,improved data management and others. Decisions are often made by individuals. There may be conflicting objectives even for a decision maker. The conflicting objectives can be solved by goal programming. Research of spare part allocation focuses on an individual decision maker and presents the solving problem with Multiple Criteria Decision Making (MCDM). A lot of MCDM approaches have been developed and applied to diverse fields, like engineering, management, economic, etc. As one of the known classical MCDM approaches, TOPSIS method is known to be a common method to get the preliminary outcome. The main concept of TOPSIS is the best alternative has the shortest distance from the positive ideal solution and has the longest distance from the negative ideal solution. Before the stores are ranked with TOPIS method, the management assigned a weightage to each store using Entropy method. Keywords— Decision Support Model, Entropy, TOPSIS, Goal Programming.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2037
10.22146/ijccs.2037
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2037/1841
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2038
2017-03-14T05:16:25Z
ijccs:ART
Pemodelan Sistem Interaksi Obat dengan Menggunakan Fuzzy Inference System dan Pareto Optimality
Yustina, Elena
Subanar, Subanar
Drug interactions is the interaction occurs between drugs that consumption simultaneously. Drug interactions can produce a good effect on patients, but not rarely produce adverse effects. Patients with diabetes and hypertension expected to control blood pressure and blood glucose levels to remain in normal circumstances, it is necessary to consider the use of medications for both diseases in order to produce effective therapies.Pareto optimality is a popular concept in the determination optimal solution of multiobjective problems. In determining the optimal solution of multiobjective problem should pay attention for each objective function, frequently conflicting objective functions. The interaction of two drugs has two objective function that is maximizing the positive effects and minimize negative effects. So its use is necessary to find optimal solutions to achieve the expected therapeutic. This research using Fuzzy Inference Sistem (FIS) to determine the appropriate medication to keep blood pressure and blood glucose levels of patients with hypertension and diabetes under control in normal and Pareto optimality to determine drug optimal solution.Fuzzy Inference System generates output choice of drug classes based on fuzzy rules in accordance with the patient's disease condition. Pareto optimality produces a pair solution for diabetes and hypertension drug that satisfy thresholds the minimum effective level (Minimum Effective Concentration; MEC) and maximum toxic levels (Minimum Toxic Concentration; MTC) of each drug.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2038
10.22146/ijccs.2038
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2038/1842
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2139
2017-01-19T03:21:20Z
ijccs:ART
Simulasi Swarm Robot Dengan Pendekatan Rayap Pada Masalah Clustering
Yogha Bintoro, Ketut Bayu
Prijodiprodjo, Widodo
AbstrakPendekatan rayap yang merupakan salah satu metode dalam rumpun swarm intelligence yang dapat mengatasi masalah clustering, pada penelitian ini pendekatan rayap dilihat dari sudut pandang pemodelan berbasis agent dan diimplementasikan ke dalam swarm robot. Penelitian ini penting untuk mengembangkan model pendekatan rayap pada kasus – kasus nyata terutama pada masalah clustering, untuk mengimplemantasikan model yang diperoleh dari studi literatur maka dibuatkan simulasi untuk menggambarkan secara detail proses yang terjadi dalam menangani masalah clustering.Pendekatan IODA digunakan untuk memodelkan interaksi yang terjadi didalam simulasi, pendekatan ini di sesuaikan dengan perangkat pengembangan yang digunakan yaitu NETLOGO. Penggunaan IODA menjadi suatu kontribusi untuk mengembangkan metodologi ini, terutama pada NETLOGO disamping pengimplementasian komunikasi tidak langsung dan optimasi pencarian yang dapat membentuk clister lebih cepat dari penelitian sebelumnya. Kata kunci— Pendekatan rayap, simulasi, IODA, clustering, agent AbstractTermites approach is one of the method in swarm intelligent field which used to handle clustering problem. In this research, termites approach are in agent metodology point of view and implemented to swarm robot. This research is important to developing termites model in some real cases especially in clustering problem, to implement this model gathered from literatur study, we used simulation to give detail model about clustering solving process. IODA metodologi is used to modelling the interaction in simulation, this approach is appropriate with NETLOGO as development tool. The involve of IODA has become one of the contribution to develop this in NETLOGO beside the implementation of indirect communication and searching optimization that can makes clustering process faster than the previous research. Keywords—Termites approach, Simulation, IODA, clustering, agent.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2012-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2139
10.22146/ijccs.2139
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2139/1920
Copyright (c) 2012 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2140
2017-01-19T03:21:20Z
ijccs:ART
Sistem Pendukung Keputusan Model Fuzzy AHP Dalam Pemilihan Kualitas Perdagangan Batu Mulia
Wahyuni, Sri
Hartati, Sri
AbstrakPemilihan kualitas batu mulia membutuhkan kemampuan khusus untuk memilih dan menilai kualitas batu mulia yang akan diperdagangkan. Keberagaman jenis batu mulia dan konsumen menjadi kendala tersendiri ketika pengetahuan dan kemampuan individu dalam menganalisis kualitas batu mulia sangatlah minim.Penelitian ini menggunakan metode kuantitatif dengan menggunakan model Fuzzy AHP. Pengumpulan data dilakukan dengan cara konsultasi dengan Direktur Kantor Pusat Promosi Batu Mulia Indonesia GEM-AFIA GROUP di Bandung sehingga dihasilkan kriteria-kriteria terbaik dalam pemilihan kualitas perdagangan batu mulia. Kriteria-kriteria tersebut kemudian disusun berdasarkan literatur, observasi dan wawancara, selanjutnya diberi penilaian perbandingan berpasangan dengan AHP untuk mencari bobot informasional dan menggunakan TFN untuk mencari upper excepted value.Hasil yang didapat dengan menggunaan model Fuzzy AHP dalam pemilihan kualitas perdagangan batu mulia menunjukkan bahwa kriteria berat jenis, warna, kekerasan, pemotongan, dan kejernihan merupakan kriteria utama dalam pemilihan kualitas perdagangan batu mulia. Fuzzy AHP dalam penilaian tingkat kosistensi dilakukan pada level struktur hierarki dan mampu mengakomodir ketidak konsistenan dalam penilaian. Kata kunci—AHP (Analysis Hierarchy Process), Fuzzy AHP, TFN (Triangular Fuzzy Number), upper eecepted upper. AbstractThe selection process of Precious stone quality requires particular ability in selecting and assessing the quality of traded Precious stones . The diversity types of Precious stoneand consumers in choosing it become an obstacle since the limited knowledge and ability to analyze needs of individuals.This research applied quantitative method by employing Fuzzi AHP model. The data was collected by consulting the director of Kantor Promosi Batu Mulia Indonesia GEMAFIA GROUP located in Bandung that gives some criteria in the selection of Precious stonetrade quality. Further, these criteria are formulated based on AHP pair comparison to find out the informational quality and upper expected values using TFT (triangular Fuzzy Number).The result that is based on Fuzzy AHP method show that density, color, hardness, cutting and clarity criteria are the criteria in selecting Precious stonetrade quality. This method in the assessment of consistency level is done in the hierarchy structure level and is able to accommodate the assessment inconsistency. Keywords—AHP (Analysis Hierarchy Process), Fuzzy AHP, TFN (Triangular Fuzzy Number), upper eecepted upper.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2140
10.22146/ijccs.2140
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2140/1921
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2141
2017-04-05T06:15:07Z
ijccs:ART
Sistem Pendukung Keputusan Seleksi Anggota Paduan Suara Dewasa Menggunakan Metode Fuzzy Mamdani
Jayanti, Sherly
Hartati, Sri
Decision Support System, Chorus, Fuzzy's logic, Mamdani
AbstrakKebijaksanaan dalam mengambil sebuah keputusan pada permasalahan tertentu bukan lah hal yang mudah, karena perlu dilakukan pertimbangan yang diharapkan dapat membantu memberikan alasan keputusan tertentu harus diambil. Begitu juga penanganan masalah menentukan seseorang untuk menjadi anggota paduan suara dewasa pada Sanggar Bina Vokalia Menteng Palangka Raya.Seseorang yang akan bergabung pada sebuah tim paduan suara yang akan mengikuti kegiatan atau event tertentu, maka hal yang perlu diperlukan adalah seperti kualitas usia, pengalaman, kedisiplinan, intonasi, artikulasi dan wilayah nada dari seseorang tersebut. Sistem Pendukung Keputusan Seleksi Anggota Paduan Suara Kategori Dewasa sangat tepat diterapkan untuk penanganan masalah yang membutuhkan penyelesaian mandiri dari komputer untuk pemrosesan data peserta yang mengikuti seleksi dengan perhitungan efisien dan akurat. Dengan menggunakan penalaran Logika Fuzzy Mamdani dalam pemrosesan data input dan output, serta informasi pendukung berupa ranking sangat mendukung dalam pengambilan keputusan untuk menentukan seseorang untuk menjadi anggota paduan suara dewasa. Kata kunci— Sistem Pendukung Keputusan, Paduan Suara, Logika Fuzzy, Mamdani AbstractWisdom in taking a decision on a particular issue is in fact not an easy thing, because consideration needs to be done that is expected to help justify a particular decision should be taken. So is handling the problem of determining a person to become a member of the adult choir at Sanggar Bina Vokalia Menteng Palangkaraya.Someone who will join in a choir team who will follow a particular activity or event, then it is necessary to like the quality of the age, experience, discipline, intonation, articulation and tone areas of a person is.Decision Support System Selection Category Adult Choir members are very appropriate to be applied to the handling problems that require independent completion of the computer for processing the data that follows the selection of participants with efficient and accurate calculations. By using Mamdani Fuzzy Logic reasoning in data processing input and output, and supporting information in the form of ranking is very supportive in the decision to determine a person to become a member of the adult choir. Keywords— Decision Support System, Chorus, Fuzzy's logic, Mamdani
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2012-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2141
10.22146/ijccs.2141
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2141/1922
Copyright (c) 2012 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2142
2017-03-14T05:17:18Z
ijccs:ART
Sistem Pendukung Keputusan Dalam Menentukan Supplier Jeruk Pontianak Berbasis Fuzzy-AHP
Salahuddin, Salahuddin
Hartati, Sri
Orange fruit siam Pontianak or usually called Pontianak ,it is very popular to the people and the fruit itself is very favorite of many people in Indonesia because of its taste which is so sweet and a little sour and refresing. The competition of orange in industries is becoming more intense. The high preference to this orange makes it a demand in most markets to the food industries, farmacy industry and local(traditional) medicine has point out that supplier of this orange is meeting importan factor that quarantee direct to the company. The collection of data in this survey and the sample of orange from every area is capable of producing orange Pontianak in the province of West Kalimantan. In this research will analyst the area supplier in producing standardize orange founded on the quality and the appropriate criteria based on the SNI. The method that is used is Fuzzy-AHP with weighting non-additive.The result that is used Fuzzy AHP non-additive in stating supplier of the orange pontianak in showing, attractive criteria, hygienic,sizes, marketing, , rotting is the first criteria which is undetake for giving the supplier quality orange. In examining the level of consistency using the method Fuzzy AHP non-additive is made in every structural level, hierarchal system is capable of handling the non consistency in the end testing, then will obtained the best supplier with important criteria for the company.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2142
10.22146/ijccs.2142
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2142/1923
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2143
2017-01-19T03:21:20Z
ijccs:ART
Reduksi Parameter Quality-Of-Service Menggunakan Rough-Set-Theory Dalam Simulasi Routing Algoritma Dijkstra
Santyadi, Gede Saindra
Pulungan, Reza
AbstrakProses pemilihan jalur/rute terbaik dalam proses routing melibatkan bobot-bobot yang terbentuk dalam topologi jaringan. Terdapat banyak parameter yang menunjang munculnya bobot tersebut. Kesalahan dalam pemilihan parameter dapat mengganggu proses kumunikasi data yang terlihat pada communication-overhead (CO) yang muncul dalam jaringan. Proses reduksi parameter dalam teori Rough Set dapat memilih parameter mana yang dianggap penting sesuai dengan nilai quality of service. Sehingga dari sekian banyak parameter, akan terpilih parameter yang akan dijadikan bobot dalam topologi. Hal ini akan mengurangi beban CO yang akan mengoptimalkan proses routing dalam jaringan. Kata kunci—Quality of Service, reduksi parameter, teori rough set, routing, algoritma Dijkstra AbstractPath selection process/best route in the routing process involves weights that are formed in the network topology. There are many parameters that support the emergence of these weights. Errors in the selection process parameters can interfere with communication data seen in communication-overhead (CO) which appears in the network. Reduction process on Rough Set theory can select the parameters which are considered important parameters in accordance with the quality of service (QoS). So of the many parameters, will be selected parameters to be used as weights in the topology. This will reduce the burden of CO that will optimize the process of routing in the network. Keywords—Quality of Service, parameter’s reduction, rough set theory, routing, Dijkstra algorithm
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2143
10.22146/ijccs.2143
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2143/1924
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2144
2017-01-19T03:21:20Z
ijccs:ART
Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung Menggunakan Naive Bayesian Classification
Rodiyansyah, Sandi Fajar
Winarko, Edi
AbstrakSetiap hari server Twitter menerima data tweet dengan jumlah yang sangat besar, dengan demikian, kita dapat melakukan data mining yang digunakan untuk tujuan tertentu. Salah satunya adalah untuk visualisasi kemacetan lalu lintas di sebuah kota.Naive bayes classifier adalah pendekatan yang mengacu pada teorema Bayes, dengan mengkombinasikan pengetahuan sebelumnya dengan pengetahuan baru. Sehingga merupakan salah satu algoritma klasifikasi yang sederhana namun memiliki akurasi tinggi. Untuk itu, dalam penelitian ini akan membuktikan kemampuan naive bayes classifier untuk mengklasifikasikan tweet yang berisi informasi dari kemacetan lalu lintas di Bandung.Dari hasil uji coba, aplikasi menunjukan bahwa nilai akurasi terkecil 78% dihasilkan pada pengujian dengan sampel sebanyak 100 dan menghasilkan nilai akurasi tinggi 91,60% pada pengujian dengan sampel sebanyak 13106. Hasil pengujian dengan perangkat lunak Rapid Miner 5.1 diperoleh nilai akurasi terkecil 72% dengan sampel sebanyak 100 dan nilai akurasi tertinggi 93,58% dengan sampel 13106 untuk metode naive bayesian classification. Sedangkan untuk metode support vector machine diperoleh nilai akurasi terkecil 92% dengan sampel sebanyak 100 dan nilai akurasi tertinggi 99,11% dengan sampel sebanyak 13106. Kata kunci— Twitter, tweet, klasifikasi, naive bayesian classification, support vector machine AbstractEvery day the Twitter server receives data tweet with a very large number, thus, we can perform data mining to be used for specific purpose. One of which is for the visualization of traffic jam in a city.Naive bayes classifier is an approach that refers to the bayes theorem, is a combination of prior knowledge with new knowledge. So that is one of the classification algorithm is simple but has a high accuracy. With this, in this research will prove the ability naive bayes classifier to classify the tweet that contains information of traffic jam in Bandung.The testing result, the program shows that the smallest value of the accuracy is 78% on testing by using a sample 100 record and generate high accuracy is 91,60% on the testing by using a sample 13106 record. The testing results with Rapid Miner 5.1 software obtained the smallest value of the accuracy is 72% by using a sample 100 records and the high accuracy is 93.58% by using a sample 13.106 records for naive bayesian classification. And for the method of support vector machine obtained the smallest value is 92% accuracy by using a sample 100 records and the high accuracy of 99.11% by using a sample 13.106 records. Keywords—Twitter, tweet, classification, naive bayesian classification, support vector machine
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2144
10.22146/ijccs.2144
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2144/1925
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2145
2017-01-19T03:21:20Z
ijccs:ART
Optimasi Cluster Pada Fuzzy C-Means Menggunakan Algoritma Genetika Untuk Menentukan Nilai Akhir
Mas`udia, Putri Elfa
Wardoyo, Retantyo
AbstrakNilai akhir mahasiswa dapat ditentukan dengan berbagai cara, beberapa diantaranya menggunakan range nilai, standart deviasi, dll. Dalam penelitian ini akan ditawarkan sebuah metode baru untuk menentukan nilai akhir mahasiswa menggunakan clustering dalam hal ini adalah Fuzzy C-Means.Fuzzy C-Means digunakan untuk mengelompokkan sejumlah data dalam beberapa cluster. Tiap data memiliki derajat keanggotaan pada masing-masing cluster antara 0-1 yang diukur melalui fungsi objektif. Pada Fuzzy C-Means ini fungsi objektif diminimumkan menggunakan iterasi yang biasanya terjebak dalam optimum lokal. Algoritma genetika diharapkan dapat menangani masalah tersebut karena algoritma genetika berbasis evolusi yaitu dapat mencari individu terbaik melalui operasi genetika (seleksi, crossover, mutasi) dan dievaluasi berdasarkan nilai fitness. Penelitian ini bertujuan untuk mengoptimasi titik pusat cluster pada Fuzzy C-Means menggunakan algoritma genetika. Hasilnya, bahwa dengan menggunakan GFS didapatkan fungsi objektif yang lebih kecil daripada menggunakan FCM, walaupun membutuhkan waktu yang relative besar. Meskipun selisih antara FCM dan GFS tidak terlalu besar namun hal tersebut berpengaruh pada anggota cluster Kata kunci— clustering, Fuzzy C-Means, algoritma genetika AbstractThe final grade of students could be determined in various ways, some of which use a range of values, deviation standard, etc. In this study will be offered a new method for determining final grades of students by using the clustering method. In this research the clustering method that will be used is the Fuzzy C-Means (FCM).Fuzzy C-Means is used to group a number of data in multiple clusters. Each data has a degree of membership (the range value of membership degree is 0-1). Membership degree is measured through the objective function. In Fuzzy C-Means, objective function is minimized by using iteration and is usually trapped in a local optimum. Genetic algorithm is expected to handle these problems. The operation of genetic algorithm based on evolution that is able to find the best individuals through genetic operations (selection, crossover and mutation) and evaluated based on fitness values.This research aims to optimize the cluster center point of FCM by using genetic algorithms. The result of this research shows that by combining the Genetic Algorithm with FCM could obtained a smaller objective function than using FCM, although it takes longer in execution time. Although the difference of objective function that produced by FCM and FCM-Genetic Algorithm combination is not too big each other, but it takes effect on the cluster members. Keywords— clustering, fuzzy c-means, genetic algorithm
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2145
10.22146/ijccs.2145
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 1 (2012): January
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2145/1926
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2146
2017-01-19T03:21:41Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/2147
2017-03-25T01:43:59Z
ijccs:ART
Penerapan FCM dan TSK Untuk Penentuan Cluster Rawan Pangan di Kabupaten Cirebon
Harliana, Harliana
SN, Azhari
Fuzzy C-Means; Fuzzy Takagi Sugeno Kang; Food insecurity; Cluster
AbstrakKetahanan pangan merupakan salah satu prasyarat dasar yang harus dimiliki dalam rangka mewujudkan kesejahteraan masyarakat. Namun, pada kenyataannya meskipun kabupaten Cirebon termasuk salah satu pensuplai beras wilayah Jawa Barat masih ada beberapa desa yang justru mengalami rawan pangan. Minimnya indikator yang digunakan oleh BKP5K Kabupaten Cirebon dalam menentukan status rawan pangan dan tahan pangan masih menjadi kendala dalam penganalisaan penyebab rawan pangan. Penelitian ini mencoba mengembangkan sebuah sistem yang dapat membantu BKP5K Kabupaten Cirebon untuk penentuan cluster rawan pangan dan tahan pangan serta macam rekomendasi bantuannya melalui parameter indikator ketahanan dan kerawanan pangan yang telah ditentukan. Sistem ini dibangun dengan menggunakan metode Fuzzy C-Means untuk mengelompokkan daerah rawan pangan dan tahan pangan serta metode Takagi Sugeno Kang sebagai rulebase dalam pemberian rekomendasi bantuannya. Setelah melakukan pengujian pada 6 kasus uji, aspek yang paling berpengaruh pada penentuan desa rawan pangan yaitu aspek ketersediaan pangan, aspek akses pangan dan penghidupan, serta aspek kesehatan dan gizi. Sedangkan jumlah penduduk dibawah garis kemiskinan, desa yang tidak memiliki akses penghubung yang memadai, jumlah RT tanpa akses listrik, jumlah areal tanam yang terkena puso, serta jumlah buruh baik buruh tani dan swasta merupakan 5 indikator yang memiliki pengaruh penting dalam penentuan daerah rawan pangan. Kata kunci— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, rawan pangan, cluster AbstractFood security is one of the basic prerequisites that must be reserved in order to realize the welfare of society. Although the district Cirebon is one supplier of rice areas of West Java, there are still some villages experiencing food insecurity. The lack of indicators used by BKP5K Cirebon in determining the food insecurity is still a constraint in analyzing the causes of food insecurity. This study seeks to develop a system that can help BKP5K Cirebon to determine cluster food insecurity and advice assistance through a variety of parameters have been determined.The system is built using the Fuzzy C-Means method to classify the food insecurity and food stand andalso Takagi Sugeno Kang method asrulebase in the provision of assistance and advice. After testing 6thtest cases, the most influential aspectare: aspect food availability,aspect accessfood and livelihood, and also aspects of health and nutrition. While the number of people below the poverty line, the village with no access to adequate, the number of RT without access to electricity, the number of areas puso, and the number of workers are5thindicators that have an important influence in the determination of food-insecure areas. Keywords— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, Food insecurity, Cluster
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2012-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2147
10.22146/ijccs.2147
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2147/1928
Copyright (c) 2012 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2148
2017-03-25T01:48:25Z
ijccs:ART
Penerapan Algoritma Genetika Untuk Menyelesaikan Permasalahan Penjadwalan Perawat Dengan Fuzzy Fitness Function
Dwi Utami Putra, Desak Made
Subanar, Subanar
nurse scheduling; genetic algorithms; fuzzy fitness function
AbstrakPenjadwalan perawat merupakan suatu permasalahan yang sangat kompleks dan memerlukan banyak waktu dalam proses pembuatannya. Terdapat dua bentuk batasan yang harus dipenuhi dalam penjadwalan perawat yaitu batasan keras (hard constraint) dan batasan lunak (soft constraint), oleh karena itu permasalahan penjadwalan perawat sangat sulit untuk dikerjakan dengan cara konvensional. Penelitian ini bertujuan untuk mengkaji penerapan algoritma genetika dalam menyelesaikan permasalahan penjadwalan perawat yang dapat memkuenuhi seluruh batasan keras dan meminimalkan pelanggaran terhadap batasan lunak yang telah ditentukan sehingga penjadwalan yang dihasilkan tidak hanya dapat memenuhi aturan yang ditetapkan saja namun juga dapat memenuhi preferensi dari masing-masing perawat terhadap jadwal yang dihasilkan.Algoritma genetika digunakan dalam penelitian ini untuk menyelesaikan permasalahan penjadwalan perawat pada RS. BaliMed Denpasar. Dimana kromosom yang dihasilkan merupakan representasi solusi dari penjadwalan perawat yang berupa jadwal mingguan dari masing-masing perawat.Himpunan fuzzy dalam penjadwalan perawat ini digunakan untuk menentukan nilai fitness dari kromosom yang dihasilkan.Sebuah nilai fungsi keanggotaan yang tinggi menggambarkan tingkat keidealan yang lebih tinggi dari solusi yang dihasilkan. Kata Kunci— penjadwalan perawat, algoritma genetika, fuzzy fitness function. AbstractNurse scheduling is one of the problems that need more attentions to handle. This scheduling problem is complex with some constraints involved. There are two general constraints in the problem named, the hard constraints and the soft constraint. This research goal is to study the application of genetic algorithm for solving the nurse scheduling problem. However, this solving problem should satisfy all the hard constraints, and minimize the violation of the soft constraints. The good scheduling is not only satisfies the hard constraints defined, but also the preferences of each nurse.The genetic algorithm used in this research solved the nurse scheduling problem faced at BaliMed Hospital, Denpasar. The chromosome is the representation of the weekly scheduling of each nurse. This scheduling utilized fuzzy set to determine the fitness values of the chromosome. High member value represents high ideal level of solution. The result of this research is that the lower penalty value achieved from a solution, the more ideal scheduling got according to the membership degree in fuzzy set. Hopefully, this scheduling method can be an alternative solution for arranging a nurse scheduling. Keyword— nurse scheduling, genetic algorithms, fuzzy fitness function.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2148
10.22146/ijccs.2148
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2148/1929
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2149
2017-03-25T01:52:52Z
ijccs:ART
Pengenalan Ucapan Suku Kata Bahasa Lisan Menggunakan Ciri LPC, MFCC, dan JST
Abriyono, Abriyono
Harjoko, Agus
Indonesian’s syllable recognition; LPC; MFCC; neural network; backpropagation
AbstrakSuara adalah salah satu alat komunikasi antar manusia yang efektif dan digemari. Selain sebagai alat komunikasi antar manusia, suara manusia telah digunakan sebagai alat komunikasi antara manusia dan komputer (mesin). Penelitian menggunakan suara sebagai alat komunikasi manusia dan mesin telah banyak dilakukan dengan menggunakan berbagai bahasa. Bahkan ada beberapa penelitian yang telah menghasilkan kemampuan pengenalan yang baik dan dikomersilkan (menggunakan bahasa Inggris). Bagaimana dengan penelitian pengenalan suara menggunakan Bahasa Indonesia? Peneliti mengamati penelitian pengenalan ucapan kata dalam Bahasa Indonesia masih minim dan cakupan jumlah katanya pun masih kecil. Oleh karena itu, pada penelitian ini, peneliti melakukan pengenalan ucapan kata Bahasa Indonesia. Pengenalan ucapan kata Bahasa Indonesia dilakukan dengan memecah kata Bahasa Indonesia ke dalam bentuk suku kata bahasa lisan. Pemecahan ke dalam bentuk lafal kata diharapkan mampu mengurangi jumlah kata yang sangat besar, namun tetap mengakomodasi seluruh kata yang dalam Bahasa Indonesia. Total jumlah lafal kata yang ditemukan oleh peneliti adalah 1741 suku kata bahasa lisan. Peneliti membagi sistem dalam 4 bagian besar, yakni proses perekaman, pre-processing, ekstraksi ciri, dan pengenalan. Pada proses perekaman digunakan frekuensi 11025 Hz, Mono, 8 bit. Pada pre-processing digunakan proses bantuan seperti pre-emphasis, segmentasi, framing, dan windowing. Sedangkan untuk ekstraksi ciri dan pengenalan digunakan ciri LPC/MFCC dan identifier jaringan syaraf tiruan backpropagation. Hasil pengenalan dengan pendekatan yang dibangun menunjukkan hasil yang belum memuaskan, yakni dengan kemampuan pengenalan terbaik sebesar 0.65% dengan ciri MFCC. Kata kunci—pengenalan kata Bahasa Indonesia, LPC, MFCC, JST, backpropagation. Abstract Voice is one of effective and convinienced communication’s medium among human. However, the used of voice is not only for communication among human but also has another role nowadays. Voice becomes communication medium for human and computer (machine). One of its application is speech to text application. Some of speech to text research already claimed good accuracy for some languages. How about Indonesian language? The research for Indonesian word recognition was still at low amount. The word used for research was at small amount too. Because of some of the reasons, researcher focus on Indonesian word recognition in this research. This research will divide the word into the speech syllable. The aim for the dividing system is to reduce the large amount of the word, but still cover all of the word. We found and used 1741 speech syllables. For managing the recognition, we used several approaches. The approaches are 11025 Hz, Mono, 8 bit for recording, pre-emphasized, segmentation, framing, and windowing for pre-processing, LPC and MFCC for the features, and back-propagation neural network for the identifier. The result using this approach was not reached good performance. The best result performed 0.65% by using MFCC feature. Keywords—Indonesian’s syllable recognition, LPC, MFCC, neural network, backpropagation
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2149
10.22146/ijccs.2149
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2149/1930
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2150
2017-03-25T01:56:55Z
ijccs:ART
Telaah Metode-metode Pendeteksi Kebohongan
Gunadi, I Gede Aris
Harjoko, Agus
Lie detecotor; Detection Deception; Polygraph; PDD( polygraph Detection deception) Test
AbstrakPendeteksi kebohongan adalah aplikasi yang menerapkan berbagai cabang ilmu pengetahuan(psikologi,kedokteran,biologi,fisika,komputer,dan lain lain). Aplikasi pendeteksi kebohongan sangatlah berguna terutama dikalangan penegak hukum, untuk mengungkap fakta fakta. Pada prinsipnya metode pendekteksi kebohongan bekerja berdasarkan perubahan respon fisiologis tubuh manusia, yang diakibatkan oleh usahanya untuk menutupi kebohongannya.Dalam paper ini akan dibahas berbagai pendekatan metode yang telah dikembangkan untuk mendeteksi kebohongan,diantaranya deteksi kebohongan berdasarkan konduktivitas kulit, bentuk tulisan tangan , isi ( content tulisan), analisis suara, termograpy, dan gesture.Kata kunci— Lie detector, Detection Deception, Polygraph, PDD Test.AbstractLie detector is an application that applying various of knowledge such as psychology,medicine,biology,physics, computer , and etc. This application is very useful especially among law officer to detect deception. In principle , the lie detector’s methods work based on change of fisilogy respon at human being body. The change of psiology respon is caused by effort to keep their deception. In this papers, we present an approach various methods of lie detection which have been developed . we will present lie detection based on skin conductivity respon, handwriting form, article content, voice analysis, image infrared, and gesture. Keywords— Lie detecotor, Detection Deception, Polygraph, PDD( polygraph Detection deception) Test.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2150
10.22146/ijccs.2150
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2150/1931
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2151
2017-03-25T02:03:03Z
ijccs:ART
Penerapan Algoritma Optimasi Chaos pada Jaringan Ridge Polynomial untuk Prediksi Jumlah Pengangguran
Pramitasari, Rina
Wardoyo, Retantyo
predict the number of unemployed; neural networks; chaos optimization algorithm; ridge polynomial neural network
AbstrakRidge polynomial neural network (RPNN) awalnya diusulkan oleh Shin dan Ghosh, dibangun dari jumlah peningkatan order pi-sigma neuron (PSN). RPNN mempertahankan pembelajaran cepat, pemetaan yang kuat dari layer tunggal higher order neural network (HONN) dan menghindari banyaknya bobot karena meningkatnya sejumlah input. Algoritma optimasi chaos digunakan dengan memanfaatkan persamaan logistik yang sensitif terhadap kondisi awal, sehingga pergerakan chaos dapat berubah di setiap keadaan dalam skala tertentu menurut keteraturan, ergodik dan mempertahankan keragaman solusi.Algoritma Optimasi Chaos diterapkan pada RPNN dan digunakan untuk prediksi jumlah pengangguran di Kalimantan Barat. Proses pelatihan jaringan menggunakan ridge polynomial neural network, sedangkan pencarian nilai awal bobot dan bias jaringan menggunakan algoritma optimasi chaos. Struktur yang digunakan terdiri dari 6 neuron layer input dan 1 neuron layer output. Data diperoleh dari Badan Pusat Statistik.Hasil dari penelitian ini menunjukkan bahwa algoritma yang diusulkan dapat digunakan untuk prediksi. Kata kunci—prediksi jumlah pengangguran, jaringan syaraf tiruan, algoritma optimasi chaos, ridge polynomial neural network Abstract Ridge polynomial neural network was initially proposed by Shin and Ghosh, made of total increased pi-sigma neural (PSN) orders. Ridge polynomial neural network maintains quick learning, strong mapping of single layer of higher order neural network (HONN) and avoids many weights because total increased inputs. Chaos optimization algorithm is used by utilizing sensitive logistic equation to initial condition, so that chaos movement can change in each condition in specific scale according to orderliness, ergodic, and maintaining solution variety. Chaos optimization algorithm is applied to ridge polynomial neural network and used to predict total unemployed persons in West Kalimantan. Network training process used ridge polynomial neural network; while, initial values and weights and bias of network were found using Chaos optimization algorithm. Structure used consisted of 6 input layer neurons and one output layer neuron. Data were obtained from Central Statistic Agency. The results of research indicated that algorithm proposed could be used to predict Keywords— predict the number of unemployed, neural networks, chaos optimization algorithm, ridge polynomial neural network
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2151
10.22146/ijccs.2151
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2151/1932
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:ojs.journal.ugm.ac.id:article/2152
2013-06-27T03:14:41Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/2153
2017-03-25T02:06:59Z
ijccs:ART
GDSS Penentuan Lokasi Shelter Baru Transjogja Menggunakan Metode Brown-Gibson dan Borda
Susilo, Bhakti
SN, Azhari
Location; Brown-Gibson; Borda
AbstrakTujuan didirikannya armada bus Transjogja adalah untuk mengurai permasalahan kemacetan, polusi dan transportasi umum yang memadai. Untuk memberikan layanan yang terbaik, salah satu hal yang diusahakan adalah menempatkan shelter pada posisi yang tepat. Dinas perhubungan bekerja sama dengan instansi lain dalam pengumpulan aspirasi eksekutif untuk penentuan lokasi shelter baru.Kombinasi Metode Brown-Gibson dan Borda memungkinkan digunakan untuk pemilihan lokasi secara kelompok. Metode ini digunakan untuk memilih alternatif lokasi berdasarkan ukuran preferensi tertentu (preference measurement) dengan mempertimbangkan faktor obyektif dan faktor subyektifnya. Faktor obyektif berupa efektifitas biaya yaitu jumlah total biaya yang dikeluarkan untuk satu alternatif lokasi. Faktor subyektif berupa pembobotan para pengambil keputusan terhadap kriteria-kriteria yang disyaratkan dalam penentuan lokasi shelter baru. Kriteria tersebut antara lain lahan, posisi, akses ruang, persaingan, transportasi dan keamanan. Dalam penilaian faktor subyektif menggunakan model AHP.Hasil dari penelitian ini adalah GDSS dengan menggunakan metode Brown-Gibson dan borda terbukti dapat mengakomodasi preferensi dari banyak pembuat keputusan. Dengan keluaran berupa nilai preferensi lokasi dan rangking memudahkan DM menentukan pemilihan lokasi. Lokasi yang paling banyak memiliki rangking tertinggi lebih berpotensi sebagai lokasi shelter baru.Kata kunci— Lokasi, Brown-Gibson, Borda AbstractThe purpose of establishment of the Transjogja bus fleet is to solve the problems of congestion, pollution and adequate public transport. To provide the best service, one thing is to place the shelter afforded in the right position. Department of Communication, cooperate with other agencies in the collection of executive aspirations, for the determination of the location of the new shelter.The combinations of Brown-Gibson and Borda methods, possible used for site selection as a group. This method is used to select an alternative location based on the size of a particular preference (preference measurement) taking into account the objective factors and subjective factors. Objective factor in the form of cost effectiveness is the total amount of expenses incurred for an alternative location. Subjective weighting factor of the decision makers of the criteria required in determining the location of the new shelter. These criteria include land, position, and access to space, competition, transportation and security. In the assessment of subjective factors is using the AHP model.The result of this study is to GDSS using the Brown-Gibson method and Borda shown to accommodate the preferences of many decision makers. With the output of the value location preference and rankings, it facilitated DM to determine new location. Location that has the highest ranking is more potent as a location for a new shelter.Keywords— Location, Brown-Gibson, Borda
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2153
10.22146/ijccs.2153
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2153/1933
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2154
2017-03-25T02:11:46Z
ijccs:ART
Case-Based Reasoning untuk Diagnosa Penyakit THT (Telinga Hidung dan Tenggorokan)
Rismawan, Tedy
Hartati, Sri
case-based reasoning; indexing; similarity; backpropagation; cosine coefficient
AbstrakCase-Based Reasoning (CBR) merupakan sistem penalaran komputer yang menggunakan pengetahuan lama untuk mengatasi masalah baru.CBR memberikan solusi terhadap kasus baru dengan melihat kasus lama yang paling mendekati kasus baru. Hal ini akan sangat bermanfaat karena dapat menghilangkan kebutuhan untuk mengekstrak model seperti yang dibutuhkan oleh sistem berbasis aturan. Penelitian ini mencoba untuk membangun suatu sistem Penalaran Berbasis Kasus untuk melakukan diagnosa penyakit THT (Telinga, Hidung dan Tenggorokan). Proses diagnosa dilakukan dengan cara memasukkan kasus baru (target case) yang berisi gejala-gejala ang akan didiagnosa ke dalam sistem, kemudian sistem akan melakukan proses indexing dengan metode backpropagation untuk memperoleh indeks dari kasus baru tersebut. Setelah memperoleh indeks, sistem selanjutnya melakukan proses perhitungan nilai similarity antara kasus baru dengan basis kasus yang memiliki indeks yang sama menggunakan metode cosine coefficient. Kasus yang diambil adalah kasus dengan nilai similarity paling tinggi. Jika suatu kasus tidak berhasil didiagnosa, maka akan dilakukan revisi kasus oleh pakar. Kasus yang berhasil direvisi akan disimpan ke dalam sistem untuk dijadikan pengetahuan baru bagi sistem. Hasil penelitian menunjukkan sistem penalaran berbasis kasus untuk mendiagnosa penyakit THT ini membantu paramedis dalam melakukan diagnosa. Hasil uji coba sistem terhadap 111 data kasus uji, terdapat 9 kasus yang memiliki nilai similarity di bawah 0.8. Kata kunci—case-based reasoning, indexing, similarity, backpropagation, cosine coefficient Abstract Case-Based Reasoning (CBR) is a reasoning system that uses old knowledge to solve new problem. CBR provides solutions to new cases by looking at old case that comes closest to the new case. It will be very useful because it eliminates the need to extract the model as required by the rule-based systems. This studytriestoestablisha system forCBR for diagnosingdiseasesof ENT.Diagnosisprocessis done byinsertinga new casethat containsthe symptoms ofthe disease to bediagnosed, thenthe system willdo theindexingprocess with backpropagation method toobtainan indexofnewcases. Afterthat, the systemdo thecalculation of the valueof similaritybetweenthe newcasebycasebasiswhichhas thesame indexwithnew cases using cosine coefficient method. The casetaken isthe casewiththe highestsimilarityvalue. If acaseis not successfullydiagnosed, thecasewillbe revisedby theexperts and it can be used asnew knowledgefor thesystem. The results showedcase-basedreasoningsystemtodiagnosediseasesof ENTcan helpparamedicsin performingdiagnostics. The test results of 111 data test cases, obtained 9 cases that have similarity values below 0.8. Keywords—case-based reasoning, indexing, similarity, backpropagation, cosine coefficient
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2154
10.22146/ijccs.2154
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2154/1934
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2155
2017-03-25T02:16:27Z
ijccs:ART
Peramalan Data IHSG Menggunakan Fuzzy Time Series
Hansun, Seng
fuzzy time series; time series data; soft computing; IHSG
AbstrakFuzzy time series merupakan salah satu metode soft computing yang telah digunakan dan diterapkan dalam analisis data runtun waktu. Tujuan utama dari fuzzy time series adalah untuk memprediksi data runtun waktu yang dapat digunakan secara luas pada sembarang data real time, termasuk data pasar modal.Banyak peneliti yang telah berkontribusi dalam pengembangan analisis data runtun waktu menggunakan fuzzy time series, seperti Chen dan Hsu [1], Jilani dkk. [2], serta Stevenson dan Porter [3]. Dalam penelitian ini, dicoba untuk menerapkan metode fuzzy time series pada salah satu indikator pergerakan harga saham, yakni data IHSG (Indeks Harga Saham Gabungan).Kinerja metode yang diusulkan dievaluasi dengan menghitung tingkat akurasi dan tingkat kehandalan metode fuzzy time series yang diterapkan pada data IHSG. Melalui pendekatan ini, diharapkan metode fuzzy time series dapat menjadi alternatif untuk memprediksi data IHSG yang merupakan salah satu indikator pergerakan harga saham di Indonesia. Kata kunci – fuzzy time series, data runtun waktu, soft computing, IHSG AbstractFuzzy time series is one of the soft computing method that been used and implemented in time series analysis. The main goal of fuzzy time series is to predict time series data that can be used widely in any real time data, including stock market share.Many researchers have contributed in the development of fuzzy time series analysis, such as Chen and Hsu [1], Jilani [2], and Stevenson and Porter [3]. In this research, we will try to implement the fuzzy time series method in one of the stock market change indicator, i.e. the Jakarta composite index or also known as IHSG (Indeks Harga Saham Gabungan).The research is continued by calculating the accuracy and robustness of the method which has been implemented on IHSG data. By this approach, we hope it can be an alternative to predict the IHSG data which is an indicator of stock price changes in Indonesia. Keywords – fuzzy time series, time series data, soft computing, IHSG
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2155
10.22146/ijccs.2155
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2155/1935
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2156
2017-03-25T02:20:24Z
ijccs:ART
Implementasi Basisdata Terdistribusi Pada Sistem Kenaikan Gaji Berkala Dinas Infokom Provinsi Maluku
Latubessy, Anastasya
Ashari, Ahmad
Socket; distributed database; replication
AbstrakKemampuan socket yang bekerja pada komunikasi low level dalam melakukan transfer data antar aplikasi, diharapkan dapat diterapkan dalam sistem basis data terdistribusi. Beberapa alasan untuk membangun basis data terdistribusi adalah pemakaian bersama, kehandalan, ketersediaan, dan kecepatan pemrosesan query. Dengan pertimbangan tersebut, instansi-instansi baik pemerintah maupun swasta mulai tertarik untuk menggunakan sistem terdistribusi dalam pengelolaan pekerjaan pada instansinya. Hal ini dijadikan alasan untuk membangun sistem kenaikan gaji berkala otomatis di Dinas Informasi dan Komunikasi (Infokom) Provinsi Maluku. Selain itu, belum adanya sistem terkomputerisasi yang menangani sistem ini. Sistem kenaikan gaji berkala merupakan sistem yang bersifat kritis atau penting karena berhubungan dengan masalah uang, sehingga diperlukan juga sebuah sistem yang fault tolerant.Arsitektur sistem dibangun dengan metode client server yang memanfaatkan socket sebagai middleware dalam proses komunikasi pada jaringan. Menggunakan pendekatan full replica dengan pendekatan file replication using a group untuk menjamin konsistensi data. SQL Statement yang dikirimkan client akan diubah kedalam format XML yang kemudian akan dikirimkan ke kedua basisdata server menggunakan socket. Model redundansi data dan rendundansi proses diatur oleh middleware socket. Hasil yang diperoleh dalam penelitian ini adalah aplikasi socket sebagai middleware yang menangani distribusi data dari aplikasi web client ke basisdata server yang diimplementasikan pada sistem kenaikan gaji berkala otomatis di Dinas Infokom Provinsi Maluku. Kata kunci— Socket, basisdata terdistribusi, client server AbstractSockets ability to transfer data between application that work on the low level communication was expected to be implemented in a distributed database system. Some of the reasons for building a distributed database was data sharing, reliability, availability, and query processing speed. With these considerations, both government agencies and private sector became interested to use distributed systems to manage their job at the office. It is used as a reason to build an automated KGB system of Infokom Department in Province of Moluccas. Furthermore, there was no computerized system to handle this system before. Because of it was a critical or important system, then it was requires to build a system that has a fault tolerant capability.The system architecture was built by client server method using sockets as middleware in the process of network communicaton. The system method was used full replica, and used file replication using a group to ensure data consistency. The SQL Statement was sent by the client would be converted into an XML format which then would be sent to the server using a socket. Data redundancy model and process redundancy model managed by socket middleware.The results of this research was a middleware application using socket that handle the distribution of databases from client applications to database server that were implemented on a periodic system of automatic salary increases in the Office of Information and Communication in Province of Moluccas. Keywords— Socket, distributed database, replication
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2156
10.22146/ijccs.2156
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2156/1936
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2157
2017-01-19T03:21:41Z
ijccs:ART
Analisis Forensik Jaringan Studi Kasus Serangan SQL Injection pada Server Universitas Gadjah Mada
Putri, Resi Utami
Istiyanto, Jazi Eko
AbstrakForensik jaringan merupakan ilmu keamanan komputer berkaitan dengan investigasi untuk menemukan sumber serangan pada jaringan berdasarkan bukti log, mengidentifikasi, menganalisis serta merekonstruksi ulang kejadian tersebut. Penelitian forensik jaringan dilakukan di Pusat Pelayanan Teknologi Informasi dan Komunikasi (PPTIK) Universitas Gadjah Mada.Metode yang digunakan adalah model proses forensik (The Forensic Process Model) sebuah model proses investigasi forensik digital, yang terdiri dari tahap pengkoleksian, pemeriksaan, analisis dan pelaporan. Penelitian dilakukan selama lima bulan dengan mengambil data dari Intrusion Detection System (IDS) Snort. Beberapa file log digabungkan menjadi satu file log, lalu data dibersihkan agar sesuai untuk penelitian.Berdasarkan hasil penelitian yang telah dilakukan, terdapat 68 IP address yang melakukan tindakan illegal SQL Injection pada server www.ugm.ac.id. Kebanyakan penyerang menggunakan tools SQL Injection yaitu Havij dan SQLMap sebagai tool otomatis untuk memanfaatkan celah keamanan pada suatu website. Selain itu, ada yang menggunakan skrip Python yaitu berasal dari benua Eropa yaitu di Romania. Kata kunci—forensik jaringan, model proses forensik, SQL injection AbstractNetwork forensic is a computer security investigation to find the sources of the attacks on the network by examining log evidences, identifying, analyzing and reconstructing the incidents. This research has been conducted at The Center of Information System and Communication Service, Gadjah Mada University.The method that used was The Forensic Process Model, a model of the digital investigation process, consisted of collection, examination, analysis, and reporting. This research has been conducted over five months by retrieving data that was collected from Snort Intrusion Detection System (IDS). Some log files were retrieved and merged into a single log file, and then the data cleaned to fit for research.Based on the research, there are 68 IP address was that did illegal action, SQL injection, on server www.ugm.ac.id. Most of attackers using Havij and SQLmap (automated tools to exploit vulnerabilities on a website). Beside that, there was also Python script that was derived from the continent of Europe in Romania. Keywords— Network Forensics, The Forensic Process Models, SQL Injection
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2157
10.22146/ijccs.2157
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2157/1937
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2272
2017-01-19T03:11:09Z
ijccs:ART
oai:ojs.journal.ugm.ac.id:article/2273
2013-07-05T02:25:21Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/2274
2017-01-19T03:11:09Z
ijccs:ART
Face Detection Using Backpropagation Neural Networks
Azis, Anifuddin
Haikal, Muhamad
AbstractThis paper summarizes a research effort in human face detection. A system to locate human faces in images, especially when used as a front-end for a human face identification system, could have many applications in the law enforcement and security professions. The approach presented here is a hybrid system using an edge deletion preprocessor and back-propagation neural networks. The method proposed successfully detected multiple faces. The results obtained are reported along with a discussion for improving the system.Keywords: Backpropagation neural networks, Edge Detection
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2274
10.22146/ijccs.2274
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2274/2034
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2275
2017-01-19T03:11:09Z
ijccs:ART
An Application of Expert System to Identify Trees Utilizing Leaf Images
Sarita, Muhammad lhsan
Hartati, Sri
AbstractTree identification is a very important to support almost all activities in the forest sector. Unfortunately, the inavailability of data and computer programs that is user friendly have caused ineficiency in tree identification. This research tries to make an expert system to identify trees by using the leaf images. To store the data in the knowledge base one must choose one of the some leaf images that are in the data base available in the program according the characteristic of the leaf. Each leaf image has a code and the accumulation of all codes build a tree code then this code is saved in the knowledge base. The tree code is used to identify a tree by making the comparison between input chosen by user and the tree code in the knowledge base using forward chaining. User who has information about a tree can add to the knowledge base but this information must be validated by an expert before it is used in the system. Another task of an expert is to give a CF (certainty factor) for each tree.The result of this research shows that no more errors are found due to input mistakes and the program is more user friendly. Another advantage is that the knowledge base is more flexible, dynamic and well organized Validation of knowledge base by experts can increase the quality and accuracy of using the knowledge base system.Keywords : expert system, leaf image, knowledge base, forward chaining, CF
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2275
10.22146/ijccs.2275
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2275/2035
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2276
2017-01-19T03:11:09Z
ijccs:ART
An Application of Expert System For Diagnozing Endoparsitism Gastrointestinal Disease In Livestock Animals
Efendi, Rusdi
Hartati, Sri
AbstractThe goal of this research is to make an expert system as a tool for diagnozing endoparsitism gastrointestinal disease for cows and sheep. The knowledge base of the system has been acquired from some interviews with some doctors from the internal diseases animal's unit at Animal's Hospital, Gadjah Mada University Jogjakarta, some text books, journals, and research papers. The inference machine of the system uses Forward Chaining and uncertainty data methods using Dempster-Shafer Theory.The system has a consultation session with an interactive dialog that can be used by the users. A user gives information such as user's data, and answers the questions about the endoparsitism gastrointestinal symptoms that might be had by his animal. From the answers, the system computes the possibility of the animal to suffer from endoparsitism gastrointestinal, informs the life cycle parasites, and suggests a therapy for it.Keywords : Expert System, diagnoze, endoparsitism gastrointestinal disease, Forward chaining method, Dempster-Shafer Teary
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2276
10.22146/ijccs.2276
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2276/2036
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2277
2017-01-19T03:11:09Z
ijccs:ART
Artificial Intelligence on Computer Based Chess Game: An Implementation of Alpha-Beta-Cutoff Search Method
Sano, Albert Dian
Wardoyo, Retantyo
AbstractA chess program usually consists of three main parts, that is, a move generator to generate all legal moves, an evaluation function to evaluate each move, and a search function to select the best move. The search function is the core of thinking process. The goal of this research is to implement the alpha beta cutoff as a search method. This method is derived from minimax search method and is more optimal than the minimax search method.In minimax, all nodes is searched and compared one by one to get the best value. On the other hand, the alpha beta cut of methd only searches nodes which make contribution to the previous value and cuts off nodes which are not useful. It means that the alpha beta method will not search and compare all nodes. The new node will be better than the previous one and replace the old value with the new one. This will make the alpha beta method requires smaller search time.The proposed method is tested by doing a series of matches between humans and a computer. The results show that the computer has ability to think well and performs a good artcial intelligence though it is very open to be modified and more optimized.Keywords: move generator function, evaluation function, search function, minimax, alpha beta cutoff
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2277
10.22146/ijccs.2277
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2277/2037
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2278
2017-03-25T03:27:33Z
ijccs:ART
Fuzzy C-Means Clustering Model Data Mining For Recognizing Stock Data Sampling Pattern
Annatje Sumarauw, Sylvia Jane
Subanar, Subanar
Data Mining; Fuzzy c-Means Clustering Model; Pattern Recognition
AbstractCapital market has been beneficial to companies and investor. For investors, the capital market provides two economical advantages, namely deviden and capital gain, and a non-economical one that is a voting .} hare in Shareholders General Meeting. But, it can also penalize the share owners. In order to prevent them from the risk, the investors should predict the prospect of their companies. As a consequence of having an abstract commodity, the share quality will be determined by the validity of their company profile information. Any information of stock value fluctuation from Jakarta Stock Exchange can be a useful consideration and a good measurement for data analysis. In the context of preventing the shareholders from the risk, this research focuses on stock data sample category or stock data sample pattern by using Fuzzy c-Me, MS Clustering Model which providing any useful information jar the investors. lite research analyses stock data such as Individual Index, Volume and Amount on Property and Real Estate Emitter Group at Jakarta Stock Exchange from January 1 till December 31 of 204. 'he mining process follows Cross Industry Standard Process model for Data Mining (CRISP,. DM) in the form of circle with these steps: Business Understanding, Data Understanding, Data Preparation, Modelling, Evaluation and Deployment. At this modelling process, the Fuzzy c-Means Clustering Model will be applied. Data Mining Fuzzy c-Means Clustering Model can analyze stock data in a big database with many complex variables especially for finding the data sample pattern, and then building Fuzzy Inference System for stimulating inputs to be outputs that based on Fuzzy Logic by recognising the pattern.Keywords: Data Mining, AUz..:y c-Means Clustering Model, Pattern Recognition
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2278
10.22146/ijccs.2278
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2278/2038
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2279
2017-03-25T02:34:15Z
ijccs:ART
Stock Data Clustering of Food and Beverage Company
Uyun, Shofwatul
Subanar, Subanar
Clustering; Fuzzy C-Means; K-Means; K-Medoid, Cluster Validity; Dunn's Index (Dl)
AbstractCluster analysis can be defined as identifying groups of similar objects to discover distribution of patterns and interesting correlations in large data sets. Clustering analysis is important in the fields of pattern recognition and pattern classification. Over the years many methods have been developed for clustering data. In general, clustering methods can be categoried into two categories, i.e., fuzzy clustering and hard clustering. Fuzzy C-means is one of many methods of clustering based on fuzzy approach, while K-Means and K-Medoid are methods clustering based on crisp approach.This study aims to apply Fuzzy C-Means, K-Means and K-Medoid methods for clustering stock data in a jbod and beverage company. The main goal is to find a clustering method that can produce optimal clusters, The resulting clusters are validated using Dunn'• Index (DI). It is expected that the result of this reseach can be used to support decision making in the food and beverage company.Keywords : Clustering, Fuzzy C-Means, K-Means, K-Medoid, Cluster Validity, Dunn's Index (Dl)
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2279
10.22146/ijccs.2279
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2279/2039
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2280
2017-01-19T03:11:09Z
ijccs:ART
An Implementation of Audio Security Using DES Algorithm
Wahid, Abdul
Wardoyo, Retantyo
AbstractData security is an important problem in computer technology. This paper discusses security system for audio data. This technology is crucial because the multimedia technology has been improved very fast. One of the common audio format forms is wave audio format. The wave format is an uncompressed file format which is for RIFF specification owned by Microsoft. It is used for saving multimedia file. By using DES algorithm, the wave data could be encrypted for hiding information contained in the data. DES algorithm is chosen in this research because DES algorithm is one of the best symmetrical cryptography algorithms and it has been used world wide. This research is expected to give contribution to the audio security concept, especially for audio data security using wave file format.Keywords : audio security, DES algorithm, wave Omar
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2280
10.22146/ijccs.2280
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2280/2040
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/2281
2017-01-19T03:11:09Z
ijccs:ART
Asymmetric Watermarking Scheme Based on Correlation Testing
Munir, Rinaldi
Riyanto, Bambang
Sutikno, Sarwono
P. Agung, Wiseto
AbstractAsymmetric watermarking is the second generation of watermarking scheme which uses different keys for embedding and detecting watermark. Key for embedding is private or secret, but key for detecting can be available publicly and everyone who has the key can detect watermark Watermark detection does not need to be original multimedia data. Detection of watermark is realized using correlation test between public key and multimedia data received. In most of schemes, private key is the watermark itself; public key is public watermark which correlates to the private watermark This paper presents concept of asymmetric watermarking scheme that based on correlation test and reviews some schemes of asymmetric watermarking that have been proposed by researchers.Keywords: asymmetric watermarking, private key, public key, watermark., multimeelia,:correlation.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
indoceiss
2007-06-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/2281
10.22146/ijccs.2281
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/2281/2041
Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3046
2017-01-19T03:21:54Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/3047
2017-01-19T03:21:54Z
ijccs:ART
Integrasi Database DISDUKCAPIL dan Database KPU Kabupaten Maros Memanfaatkan Web Services
N. Allokendek, Frans
Soetikno, John
Ashari, Ahmad
AbstrakBanyaknya permasalahan yang ditemukan dalam pelaksanaan Pemilukada, baik yang disebabkan oleh penyelenggara maupun oleh peserta.Permasalahan yang sering terjadi adalah tidak tersedianya data daftar penduduk potensi pemilih pilkada (DP4) yang ter-update, penggelembungan jumlah pemilih karena adanya data ganda, dan terbatasnya waktu untuk memverifikasi dokumen.Permasalahan yang serupa yang dihadapi oleh KPU Maros ditambah dengan terbatasnya sarana/media publikasi yang disediakan oleh KPU Maros dalam menginformasikan DPS dan DPT kepada masyarakat.Web service adalah sebuah teknologi yang meliputi sekumpulan standar yang memungkinkan dua aplikasi komputer dapat saling berkomunikasi dan bertukar data di internet. Teknologi web services menawarkan kecepatan dan kemudahan dalam mendapatkan informasi dari berbagai sumber tanpa mempermasalahkan perbedaan teknologi yang digunakan. Dalam penelitian ini, web service digunakan untuk mengkomunikasikan dua aplikasi yang berbeda yaitu SIAK DISDUKCAPIL Kabupaten Maros dan SIDP KPU Kabupaten Maros.Penelitian ini dilanjutkan dengan membuat suatu desain sistem dan implementasi berupa prototype sistem yang mengintegrasikan data dari database SIAK DISDUKCAPIL dengan database KPU di Kabupaten Maros dengan memanfaatkan teknologi web services. Hasilnya adalah didapatnya DPT yang valid serta adanya alternatif lain dalam mempublikasikan DPT kepada masyarakat, disamping tetap menggunakan media publikasi yang telah digunakan selama ini. Kata kunci— Web Services, Integrasi Data, DPT AbstractMany problems are encountered in the implementation of Local Election, which are caused by both the committee and participants. The problems that frequently occurred are the unavailability of data on the list of updated potential population to be voters in Local Election, the swallowing number of voters due to double data, and the limited time to verify documents. The similar problems that are encountered by General Election Committee of Maros Regency.Web service is a technology that includes a set of standards allowing two computer applications that can communicate with each other and exchange data in Internet. In the study, web services are used to communicate two different applications: SIAK of the Demography and Civil Registration Office of Maros Regency and SIDP of the General Election Committee of Maros Regency.The study is followed by making the design of system and implementation such as a prototype data integration system between the database of SIAK of the Demography and Civil Registration Office of Maros Regency and that of General KPU in Maros Regency by utilizing web service technology. The result is the valid Fixed Voter List. Keywords—Web Services, Data Integration, Fixed Voter List
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3047
10.22146/ijccs.3047
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 1-12
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3047/2704
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3048
2017-01-19T03:21:54Z
ijccs:ART
Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung Menggunakan Naive Bayesian Classification
Fajar Rodiyansyah, Sandi
Winarko, Edi
AbstrakSetiap hari server Twitter menerima data tweet dengan jumlah yang sangat besar, dengan demikian, kita dapat melakukan data mining yang digunakan untuk tujuan tertentu. Salah satunya adalah untuk visualisasi kemacetan lalu lintas di sebuah kota.Naive bayes classifier adalah pendekatan yang mengacu pada teorema Bayes, dengan mengkombinasikan pengetahuan sebelumnya dengan pengetahuan baru. Sehingga merupakan salah satu algoritma klasifikasi yang sederhana namun memiliki akurasi tinggi. Untuk itu, dalam penelitian ini akan membuktikan kemampuan naive bayes classifier untuk mengklasifikasikan tweet yang berisi informasi dari kemacetan lalu lintas di Bandung.Dari hasil uji coba, aplikasi menunjukan bahwa nilai akurasi terkecil 78% dihasilkan pada pengujian dengan sampel sebanyak 100 dan menghasilkan nilai akurasi tinggi 91,60% pada pengujian dengan sampel sebanyak 13106. Hasil pengujian dengan perangkat lunak Rapid Miner 5.1 diperoleh nilai akurasi terkecil 72% dengan sampel sebanyak 100 dan nilai akurasi tertinggi 93,58% dengan sampel 13106 untuk metode naive bayesian classification. Sedangkan untuk metode support vector machine diperoleh nilai akurasi terkecil 92% dengan sampel sebanyak 100 dan nilai akurasi tertinggi 99,11% dengan sampel sebanyak 13106. Kata kunci— Twitter, tweet, klasifikasi, naive bayesian classification, support vector machine AbstractEvery day the Twitter server receives data tweet with a very large number, thus, we can perform data mining to be used for specific purpose. One of which is for the visualization of traffic jam in a city.Naive bayes classifier is an approach that refers to the bayes theorem, is a combination of prior knowledge with new knowledge. So that is one of the classification algorithm is simple but has a high accuracy. With this, in this research will prove the ability naive bayes classifier to classify the tweet that contains information of traffic jam in Bandung.The testing result, the program shows that the smallest value of the accuracy is 78% on testing by using a sample 100 record and generate high accuracy is 91,60% on the testing by using a sample 13106 record. The testing results with Rapid Miner 5.1 software obtained the smallest value of the accuracy is 72% by using a sample 100 records and the high accuracy is 93.58% by using a sample 13.106 records for naive bayesian classification. And for the method of support vector machine obtained the smallest value is 92% accuracy by using a sample 100 records and the high accuracy of 99.11% by using a sample 13.106 records. Keywords—Twitter, tweet, classification, naive bayesian classification, support vector machine
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3048
10.22146/ijccs.3048
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 13-22
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3048/2705
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3049
2017-01-19T03:21:54Z
ijccs:ART
Klasifikasi Fase Retinopati Diabetes Menggunakan Backpropagation Neural Network
Yefrenes Dillak, Rocky
Harjoko, Agus
AbstrakRetinopati diabetes (DR) merupakan salah satu komplikasi pada retina yang disebabkan oleh penyakit diabetes. Tingkat keparahan DR dibagi atas empat kelas yakni: normal, non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), dan macular edema (ME). Penelitian ini bertujuan mengembangkan suatu metode yang dapat digunakan untuk melakukan klasifikasi terhadap fase DR. Data yang digunakan sebanyak 97 citra yang fitur – fiturnya diekstrak menggunakan gray level cooccurence matrix (GLCM). Fitur ciri tersebut adalah maximum probability, correlation, contrast, energy, homogeneity, dan entropy. Fitur – fitur ini dilatih menggunakan jaringan syaraf tiruan backpropagation untuk dilakukan klasifikasi. Kinerja yang dihasilkan dari pendekatan ini adalah sensitivity 100%, specificity 100% dan accuracy 97.73% Kata kunci— fase retinopati diabetes, GLCM, backpropagation neural network Abstract Diabetic retinopathy (DR) is one of the complications on retina caused by diabetes. The aim of this studyis to develop a system that can be used for automatic mass screenings of diabetic retinopathy. Four classes are identified: normal retina, non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), and macular edema (ME). Ninenty-seven retinal fundus images in used in this study. Six different texture features such as maximum probability, correlation, contrast, energy, homogeneity, and entropy were extracted from the digital fundus images using gray level cooccurence matrix (GLCM). These features were fed into a backpropagation neural network classifier for automatic classification. The proposed approach is able to classify with sensitivity 100%, specificity 100% and accuracy 97.73% Keywords— diabetic retinopathy stages, GLCM, backpropagation neural network
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3049
10.22146/ijccs.3049
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 23-34
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3049/2706
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3050
2017-01-19T03:21:54Z
ijccs:ART
Pengenalan Karakter Plat Nomor Mobil Secara Real Time
Ruslianto, Ikhwan
Harjoko, Agus
AbstrakPengenalan plat nomor di Indonesia biasanya digunakan pada sistem parkir yang masih dilakukan secara manual, yaitu dengan mencatat karakter plat nomor oleh petugas jaga parkir. Padahal pengenalan plat nomor tidak hanya dilakukan untuk system perparkiran tetapi dapat digunakan untuk menemukan kendaraan yang melanggar peraturan lalu lintas dijalan raya secara real time, misalnya pelaku tabrak lari pada kecelakaan maupun kendaraan yang melanggar rambu-rambu lalu lintas.Penelitian ini memberikan alternatif pengenalan karakter plat nomor mobil menggunakan metode connected component analysis dan matching sehingga dapat menyelesaikan permasalahan dengan background yang kompleks dan mobil yang bergerak dijalan raya.Metode connected component analysis berhasil melakukan proses segmentasi plat dan segmentasi karakter dengan kondisi background yang kompleks secara tepat terhadap 67 sampel citra dengan tingkat keberhasilan 95,52% untuk segmentasi plat dan 94,98% untuk segmentasi karakter dan metode template matching berhasil melakukan proses pengenalan karakter secara akurat dengan tingkat keberhasilan 87,45%. Kata kunci— real time, connected component analysis, template matching Abstract Indonesia’s number plat recognition system are typically used in parking lots that are still done manually, by recording the license plate characters by parking guard. Though number plate recognition system is not only for parking but can be used to find vehicles that violate traffic rules highway street in real time, such as actors on the hit and run accident and the vehicles that violate traffic signs.This study provides an alternative car number plate character recognition using connected component analysis and matching so as to solve problems with complex background and a moving car on the road.Connected component analysis method successfully to the plates segmentation and character segmentation in complex background condition are appropriate to the 67 sample images with the success rate of 95.52% for the plate segmentation and 94.98% for plate character segmentation and template matching method successfully perform the character recognition process accurately with a success rate of 87.45%. Keywords— real time, connected component analysis, template matching
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3050
10.22146/ijccs.3050
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 35-44
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3050/2707
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3051
2017-01-19T03:21:54Z
ijccs:ART
Purwarupa Sistem Pakar dengan Mamdani Product untuk Menentukan Menu Harian Penderita DM
Hasanah, Nur
Wardoyo, Retantyo
AbstrakPada 2025 diperkirakan 12,4 juta orang yang mengidap Diabetes Melitus (DM) di Indonesia. Perencanaan makan merupakan salah satu pilar dalam pengelolaan DM. Sistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Logika fuzzy fleksibel, memiliki kemampuan dalam proses penalaran secara bahasa dan memodelkan fungsi-fungsi matematika yang kompleks. Penelitian ini bertujuan menerapkan metode ketidakpastian logika fuzzy pada purwarupa sistem pakar untuk menentukan menu harian. Manfaat penelitian ini adalah untuk mengetahui keakuratan mesin inferensi Mamdani Product. Pendekatan basis pengetahuan yang digunakan pada sistem pakar ini adalah dengan Rule-Based Reasoning. Proses inferensi pada sistem pakar menggunakan logika fuzzy dengan mesin inferensi Mamdani Product. Fuzzifier yang digunakan adalah Singleton sedangkan defuzzifier yang digunakan adalah Rata-Rata Terpusat. Penggunaan kombinasi Singleton fuzzifier, mesin inferensi Product dan defuzzifier Rata-Rata Terpusat yang digunakan pada sistem pakar dapat diterapkan untuk domain permasalahan yang dibahas. Meskipun demikian, terdapat kemungkinan Singleton fuzzifier tidak dapat memicu beberapa atau semua aturan. Jika semua aturan tidak dapat dipicu maka tidak dapat disimpulkan kebutuhan kalori hariannya. Kata kunci— sistem pakar, logika fuzzy, mamdani product, diabetes, menu AbstractIt is predicted that 12.4 million people will suffer from Diabetes Mellitus (DM) in Indonesia in 2025. Menu planning is one of the important aspects in DM management. Expert system can be used as a consultant that gives suggestion to users as well as an assistant for experts. Fuzzy logic is flexible, has the ability in linguistic reasoning and can model complex mathemathical functions. This research aims to implement fuzzy logic uncertainty method into expert sistem prototype to determine diabetic daily menu. The advantage is to find out the accuracy of Mamdani Product inference engine. The knowledge-based approach in this expert system uses Rule-Based Reasoning. The inference process employs fuzzy logic making use of Mamdani Product inference engine. The fuzzifier used is Singleton while defuzzifier is Center Average. The combination of Singleton fuzzifier, Mamdani Product inference engine and Center Average defuzzifier that is used can be applied in the domain of the problem under discussion. In spite of the case, there is possibility that Singleton fuzzifier can’t trigger some or all of the rules. If all of the rules can’t be triggered then the diabetic daily menu can’t be concluded. Keyword— expert system, fuzzy logic, mamdani product, diabetes, menu
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3051
10.22146/ijccs.3051
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 45-54
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3051/2708
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3052
2017-01-19T03:21:54Z
ijccs:ART
Aplikasi Pencarian Rute Terbaik dengan Metode Ant Colony Optimazation (ACO)
Siyamtining Tyas, Yuliyani
Prijodiprodjo, Widodo
AbstrakPengawalan Lalu Lintas adalah suatu kegiatan penyelenggaran pengamanan bergerak di jalan dalam rangka melindungi keselamatan jiwa manusia, harta benda, kegiatan VVIP/VIP/ Protokol kenegaraan secara terus menerus selama perjalanan dari satu tempat ke tempat lain dengan menggunakan kendaraan bermotor sehingga kegiatan dapat berjalan aman, tertib dan lancar. Pengambilan keputusan rute jalan yang akan dilalui berdasarkan pertimbangan situasi jalan (jarak tempuh, banyak lubang, banyak tikungan dan kepadatan arus lalu lintas).Ant Colony Optimization (ACO) merupakan teknik probabilistik untuk memecahkan masalah perhitungan dengan menemukan jalur terbaik melalui graf, algoritma ini terinspirasi dari perilaku semut bersama dengan koloninya dalam mencari makanan. Simple Additive Weighting (SAW) merupakan salah satu metode untuk menyelesaikan masalah Multi-Attribute Decision Making (MADM) dengan mencari penjumlahan terbobot dari rating kinerja setiap alternatif pada semua atribut.Penelitian ini mengkombinasikan metode Ant Colony Optimization dengan Simple Additive Weighting. Kata kunci— ACO, Ant Colony Optimization, SAW, Simple Additive Weighting, Rute Terbaik AbstactTraffic Guarding is an activity to carry out the safety on road in order to protect the safety of human, the treasure and the activity to guard of honor. It is conducted continually from one to another place by using the vehicles. It is also conducted to get more safe, ordered and fluent along the road. To take the decision of route which will be passed on the road situations (distance, road with holes, bends and crowd of the traffic).Ant Colony Optimization (ACO) is a probabilistic technique to solve the problem by using the way to find the best track through graf. This algorithm gets inspiration from the ants behavior with their colony to get their food. Simple Additive Weighting (SAW) is a method to solve the problem Multi-Attribute Decision Making (MADM) by finding the accumulation from the rate processing from every alternatives at the attribute of all.This research combines Ant Colony Optimization (ACO) method with Simple Additive Weighting (SAW). Keyword— ACO, Ant Colony Optimization, SAW, Simple Additive Weighting, Best Route
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3052
10.22146/ijccs.3052
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 55-64
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3052/2709
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3053
2017-03-25T02:57:22Z
ijccs:ART
Penerapan Bee Colony Optimization Algorithm untuk Penentuan Rute Terpendek (Studi Kasus : Objek Wisata Daerah Istimewa Yogyakarta)
Danuri, Danuri
Prijodiprodjo, Widodo
Shortest Path; Bee Colony Optimization Algorithm
AbstrakPencarian rute terpendek merupakan suatu permasalahan optimasi yang sering dijadikan studi kasus bagi penelitian. Jarak merupakan faktor yang paling menentukan dalam melakukan penelusuran jalur-jalur yang akan dilalui. Jalur dengan jarak terpendek akan dipilih sebagai jalur pilihan.Algoritma bee colony optimization digunakan dalam penelitian ini untuk menyelesaikan permasalah pencarian rute terpendek. Terdapat dua proses utama pada saat penelusuran jalur yaitu forward dan backward. Algoritma bee colony optimization bekerja pada proses forward. Nilai probabilitas suatu jalur dijadikan dasar pada proses transisi jalur kemudian durasi waggle dance dari tiap lebah yang berhasil menemukan posisi tujuan akan dijadikan rute pilihan.Hasil yang diperoleh dalam penelitian ini adalah algoritma bee colony optimization dapat digunakan untuk menemukan rute terpendek. Jumlah lebah yang dilepas sangat mempengaruhi dalam menemukan rute-rute yang bisa dilalui. Semakin banyak jumlah lebah yang dilepas semakin besar peluang ditemukannya rute terpendek. Kata kunci— Rute Terpendek, Algoritma Bee Colony Optimization. AbstractThe shortest path determination is an optimization problem which often used as a case study for research. Distance is the most defining factor in performing the search paths to be passed. Path with the shortest distance would be chosen as a path selection.Bee colony optimization algorithm used in this study to complete problems shortest path determination. There are two main process es during search path that is forward and backward. Bee colony optimization algorithm works on the process forward. The value probability of a path is base intransition process and the duration of waggle dance track of every bee who had found the position of the goal will be a preferred route.The results obtained in this study is the bee colony optimization algorithm can be used to find shortest path. The number of bees are released greatly affects in finding routes that can be passed. The more the number of bees that removed the greater the chances of finding the shortest path. Keyword— Shortest Path, Bee Colony Optimization Algorithm
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3053
10.22146/ijccs.3053
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 65-76
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3053/2710
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3054
2017-01-19T03:21:54Z
ijccs:ART
Video Retrieval Berdasarkan Teks dan Gambar
Hidayati, Rahmi
Harjoko, Agus
AbstrakVideo retrieval digunakan untuk melakukan pencarian video berdasarkan query yang dimasukkan oleh user yaitu teks dan gambar. Sistem ini dapat meningkatkan kemampuan pencarian terhadap video dan diharapkan dapat mengurangi waktu temu-kembali video. Tujuan dari penelitian ini adalah merancang dan membuat sebuah aplikasi perangkat lunak video retrieval berdasarkan teks dan gambar yang ada dalam video. Proses indeks untuk teks adalah proses tokenizing, filtering (stopword), stemming. Hasil stemming disimpan dalam tabel indeks teks. Proses indeks untuk gambar adalah membuat histogram warna dan menghitung nilai rata-rata serta standar deviasi pada setiap warna dasar red, green dan blue (RGB) dari setiap gambar. Hasil ekstraksi fitur disimpan pada tabel gambar. Proses retrieval video menggunakan query yaitu teks, gambar atau keduanya. Untuk query teks sistem memproses query teks dengan melihat query teks pada tabel indeks teks. Jika query teks ada pada tabel indeks teks sistem akan menampilkan informasi video sesuai dengan teks query. Untuk query gambar sistem memproses query gambar dengan mencari nilai dari fitur ekstraksi yaitu means red, means green, means blue, standar deviasi red, standar deviasi green dan standar deviasi blue. Jika nilai hasil ekstraksi ke enam fitur query gambar ada pada tabel indeks gambar sistem akan menampilkan informasi video sesuai dengan gambar query. Untuk query teks dan query gambar, sistem akan menampilkan informasi video jika query teks dan query gambar memiliki keterkaitan yaitu query teks dan query gambar mempunyai judul film yang sama. Kata kunci— video, indeks, retrieval, teks, gambar AbstractRetrieval video has been used to search a video based on the query entered by user which were text and image. This system could increase the searching ability on video browsing and expected to reduce the video’s retrieval time. The research purposes were designing and creating a software application of retrieval video based on the text and image on the video. The index process for the text is tokenizing, filtering (stopword), stemming. The results of stemming to saved in the text index table. Index process for the image is to create an image color histogram and compute the mean and standard deviation at each primary color red, green and blue (RGB) of each image. The results of feature extraction is stored in the image table The process of video retrieval using the query text, images or both. To text query system to process the text query by looking at the text index tables. If there is a text query on the index table system will display information of the video according to the text query. To image query system to process the image query by finding the value of the feature extraction means red, green means, means blue, red standard deviation, standard deviation and standard deviation of blue green. If the value of the six features extracted query image on the index table image will display the video information system according to the query image. To query text and query images, the system will display the video information if the query text and query images have a relationship that is query text and query image has the same film title. Keywords— video, index, retrieval, text, image
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3054
10.22146/ijccs.3054
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 77-88
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3054/2711
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3055
2017-01-19T03:21:54Z
ijccs:ART
Sistem Pendukung Keputusan Kelompok Penentuan Kelayakan Lokasi Pemukiman
Ula, Mutammimul
SN, Azhari
AbstrakSebagai daerah yang rawan bencana dari tsunami, dan abrasi gelombang laut, dibutuhkan suatu lokasi yang layak untuk dapat dijadikan suatu daerah pemukiman untuk mendukung perkembangan perekonomian, sarana dan prasarana, serta sosial ekonomi di pemerintah kota Lhokseumawe. Oleh sebab itu, diperlukan penentuan kelayakan lokasi pemukiman yang layak untuk direkomendasi menjadi sebuah pemukiman yang akan dibangun. Sehingga perlu dilakukan evaluasi terhadap areal fisik pemukiman, sarana dan prasarana, dan sosial-ekonomi yang akan direkomendasi menjadi suatu lokasi pemukiman. Masukan dari masyarakat sangat dibutuhkan untuk mengetahui masalah lokasi yang akan direkomendasi menjadi sebuah pemukiman. Hal ini dilakukan agar pihak pengawas mengetahui dan dapat mengantisipasi masalah-masalah yang terjadi pada lokasi tersebut. Penerapan sistem pendukung keputusan kelompok atau Group Decision Support System (GDSS) yang dibuat menggunakan metode VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia) dapat membantu para pengambil keputusan dalam melakukan perankingan nilai masing-masing alternatife solusi, entropy sebagai pembobotannya dari setiap kriteria.. Sementara metode Copeland score, sebagai salah satu metode voting yang tekniknya berdasarkan pengurangan frekwensi kemenangan dengan frekwensi kekalahan dari perbandingan berpasangan untuk melakukan voting terhadap solusi yang akan di ambil para decision maker. Kata kunci— GDSS, Vikor, Entropy, Copeland Score, lokasi pemukiman. AbstrakAs a disaster-prone areas of the tsunami, ocean waves and abrasion, it takes a decent location to be used as a residential area to support economic development, infrastructure, social and economic development of Regional Goverment of Lhokseumawe. Therefore, it is necessary to have feasibility determination of viable residential locations as recommendation to be a settlement. So it is necessary to evaluate the physical area of settlements, infrastructure, economic and social development that will be recommended to be a residential location. Public suggestion is needed to determine the problem locations to be recommended to a settlement. The application of group decision support systems or Group Decision Support System (GDSS) are made using the VIKOR method (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia) that is able to assist decision makers in the ranking value to each solution alternatives, entropy wih weigt for criterias, the method of Copeland score, as one method of voting is the technique by reducing the frequency of victory with the defeat of the comparison frequency pairs can be used to vote for a solution that will take the decision makers. Keyword— GDSS, Vikor, Copeland Score, Entropy, location determination.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3055
10.22146/ijccs.3055
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 89-100
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3055/2712
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3056
2017-01-19T03:21:54Z
ijccs:ART
Aplikasi Metode Fuzzy Multi-Attribute Decision Making Berbasis Web dalam Pemilihan Calon Kepala Daerah di Indonesia
Munawar Yusro, Muhamad
Wardoyo, Retantyo
AbstrakSejak tahun 2005 di Indonesia sudah dilaksanakan pemilihan kepala daerah (pilkada) secara langsung mulai dari pemilihan kepala desa, bupati, walikota sampai dengan gubernur. Majalah SwaSembada menyebutkan ada pemilihan langsung untuk 500 anggota DPR; 33 gubernur, serta sekitar 460 pemilihan untuk jabatan bupati dan wali kota. Dalam penelitian ini dibuat sebuah aplikasi yang mampu mensimulasikan suatu bentuk aplikasi pengambilan keputusan kasus Penentuan Pilihan Calon Kepala Daerah di Indonesia menggunakan metode Fuzzy MADM yang dikembangkan oleh Moon Hyun Joo dan Chang Sun Kang. Sistem ini mempunyai kemampuan menampung input kriteria yang diinginkan dari pengguna, alternatif pasangan calon, dan pada akhirnya mampu memberikan tampilan visual berupa himpunan solusi terbaik dari beberapa alternatif yang diberikan menggunakan metode perangkingan Nilai Total integral. Dari dua kasus pemilihan bupati yang diujikan ternyata hasil perangkingan tidak selalu sama tergantung dari tingkat keoptimisan (a) yang dipakai. Kata kunci— fuzzy, fmadm, pemilihan kepala daerah AbstractSince 2005, in Indonesia the election of regional leader (pilkada) has been held directly start from election of countryside head, regent, mayor up to governor. SwaSembada Magazine mentioned that there are direct elections to elect 500 members of DPR; 33 governors, and also about 460 elections for the occupation of lord mayor and regent. The aim of this research is to create an application which is capable to simulate a Decision Making System in the case of Determination the Choice in the Election of Regional Leader in Indonesia using the Fuzzy MADM method developed by Moon Hyun Joo and Chang Sun Kang. This system is able to accomodate the criterion input as the consumer want, alternative of candidate couple, and finally can give the visual appearance in the form of best solution gathering from some given alternatives using the Nilai Total integral sort method. This system has been implemented in two elections of Regional Leader, and from the test can be concluded that the result of the sort is not always the same. It depends on the optimism storey level (a) that used in the system. Keywords— fuzzy, fmadm, election of regional leader
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-01-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3056
10.22146/ijccs.3056
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 1 (2013): January; 101-110
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3056/2713
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3346
2017-01-19T03:22:03Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/3348
2017-01-19T03:22:03Z
ijccs:ART
Pengukuran Fungsionalitas Perangkat Lunak Menggunakan Metode Function Point Berdasarkan Dokumentasi Desain
Irawati, Anie Rose
Mustofa, Khabib
AbstrakPerkiraan nilai perangkat lunak yang disepakati oleh end user dan tim pengembang harus dinyatakan dalam besaran tertentu, salah satunya adalah dalam u ku ran fungsionalitas (functional size measurement/FSM).Metode Function Point (FP) merupakan salah satu metode yang digunakan untuk mendapatkan ukuran fungsionalitas, pertama kali dikenalkan oleh Allan Albrecht dan kemudian terus dikembangkan sampai saat ini oleh International Function Point User Goup (IFPUG). Tujuan dari pengukuran menggunakan FP adalah untuk mendapatkan ukuran biaya, durasi, dan jumlah sumber daya yang diperlukan oleh sebuah proyek perangkat lunak dan dapat dilakukan pada setiap tahap pengembangan perangkat lunak. Pengukuran FP memerlukan keahlian dalam hal analisis perangkat lunak dan hasil perhitungannya dinyatakan valid jika dilakukan oleh seseorang yang mempunyai sertifikasi FP (certified FP) dari IFPUG.Penelitian ini bertujuan untuk membangun sebuah sistem yang dapat memberikan kemudahan bagi pelaku pengukuran perangkat lunak dalam menganalisis perangkat lunak dengan metode Function Point berdasarkan pada IFPUG CPM 4.3.1.Penelitian ini menghasilkan sistem yang membantu pengguna untuk melakukan analisis FP dengan cepat dan dengan validitas yang tinggi. Sistem yang dibuat mampu menghitung FP sesuai dengan dokumentasi yang dimiliki software dan menggunakan input berupa dokumen XMI yang di-eksport dari Use Case Diagram, Class Diagram dan perpaduan antara Use Case dan Class. Selain itu, penelitian ini menunjukkan pola bahwa semakin lengkap dokumen UML (Unified Modeling Language) yang dimiliki oleh sebuah perangkat lunak maka semakin akurat hasil perhitungan FP yang didapatkan. Kata kunci— Pengukuran perangkat lunak, UML, Function Point, dokumentasi desain perangkat lunak. AbstractEstimated value of software as agreed by the end user and the developer team should be expressed in a certain magnitude, one of which is the measure of functionality (functional size measurement / FSM).Function Point (FP) Method is one of the methods used to obtain the size of the functionality, first introduced by Allan Albrecht and then further developed by the International Function Point User Goup (IFPUG). FP is a method to get a measure of the cost, duration, and amount of resources required by a software project and can be done at any stage of software development. However, Function Point measurement requires expertise in software analysis and the results of the calculation are valid if done by someone with IFPUG certification.This study realizes a system that is convenient for actors in analyzing software using Function Point method based on IFPUG CPM 4.3.1.The system helps users to perform FP analysis in a faster way and confers accurate results. The system is able to count FP based on software design documentation and uses XMI document exported from use case diagrams, class diagrams, and diagrams illustrating the use cases and classes relationship as an input. The study also indicates that the more complete software UML (Unified Modeling Language) documents, the more accurate the FP calculation results obtained. Keywords— Software measurement, UML, Function Point, software design documentation.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3348
10.22146/ijccs.3348
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 111-120
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3348/2908
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3351
2017-01-19T03:22:03Z
ijccs:ART
Identifikasi Barcode pada Gambar yang Ditangkap Kamera Digital Menggunakan Metode JST
Aliaji, Salman
Harjoko, Agus
AbstrakDewasa ini hampir setiap produk konsumen memiliki label barcode. Namun alat pembaca barcode jenis laser memiliki kelemahan karena tidak dapat mengenali barcode yang mengalami goresan atau noise. Namun telah dikembangkan teknik lain dengan memanfaatkan kamera digital untuk identifikasi barcode. JST telah banyak digunakan untuk identifikasi berbagai macam pola. Proses identifikasi barcode dalam JST terdiri dari proses training dan proses identifikasi. Proses training menggunakan metode LVQ (Learning Vector Quantization). Proses identifikasi terdiri dari beberapa tahap, yaitu akuisisi citra, preprocessing, locating barcode, proses pengujian dan verifikasi. Berdasarkan hasil pengujian metode LVQ dapat digunakan untuk identifikasi foto barcode dengan kinerja yang baik. Hasil pengujian menunjukkan tingkat akurasi sebesar 73,6 % dari 72 citra yang diuji dengan waktu rata-rata adalah 0.5 detik. Sementara waktu yang dibutuhkan untuk menemukan lokasi barcode adalah sekitar 6 detik menggunakan blok dengan ukuran 32x32 pixel. Kata kunci— Barcode, Learning Vector Quantization, Jaringan Syaraf Tiruan AbstrakIn today’s modern society, almost every consumer product has a barcode label. But the barcode reader with laser type has the disadvantage of not being able to recognize the barcode has a scratch or noise. However, other techniques have been developed by using a digital camera for barcode identification. ANN has been widely used for identification of various patterns. Barcode identification process consists of the ANN training process and the identification process. Training process using the LVQ (Learning Vector Quantization). Identification process consists of several stages: image acquisition, preprocessing, locating barcode, testing and verification process. Based on test results LVQ method can be used for photo identification barcode with good performance. The test results showed an accuracy of 73.6% rate of 72 images were tested with an average time is 0.5 seconds. While the time required to find the location of the barcode is about 6 seconds using a block size of 32x32 pixels. Keyword— Barcode, Learning Vector Quantization, Artificial Neural Network
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3351
10.22146/ijccs.3351
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 121-132
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3351/2910
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3352
2017-04-03T03:25:47Z
ijccs:ART
Prototype Sistem Pakar untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner dengan Metode Dempster-Shafer
Wahyuni, Elyza Gustri
Prijodiprodjo, Widodo
AbstrakSistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Salah satu cara untuk mengatasi dan membantu mendeteksi tingkat resiko penyakit JK seseorang, yaitu dengan membuat sebuah sistem pakar sebagai media konsultasi dan monitoring terhadap seseorang sehingga dapat meminimalkan terjadinya serangan jantung yang mengakibatkan kematian. Metode Dempster-Shafer merupakan metode penalaran non monotonis yang digunakan untuk mencari ketidakkonsistenan akibat adanya penambahan maupun pengurangan fakta baru yang akan merubah aturan yang ada, sehingga metode Dempster-Shafer memungkinkan seseorang aman dalam melakukan pekerjaan seorang pakar. Penelitian ini bertujuan menerapkan metode ketidakpastian Dempster-Shafer pada sistem pakar untuk mendiagnosa tingkat resiko penyakit JK seseorang berdasarkan faktor serta gejala penyakit JK. Manfaat penelitian ini adalah untuk mengetahui keakuratan mesin inferensi Dempster-Shafer.Hasil diagnosa penyakit JK yang dihasilkan oleh sistem pakar sama dengan hasil perhitungan secara manual dengan menggunakan teori mesin inferensi Dempster-Shafer. Sehingga dapat disimpulkan bahwa sistem pakar yang telah dibangun dapat digunakan untuk mendiagnosa PJK. Kata kunci— Dempster-Shafer, Jantung Koroner, Sistem Pakar AbstractThe expert systems can serve as a consultant that gives advice to the users and at once as an assistant to the experts. One way to cope and help detect the risk level of one’s coronary heart disease, is to create the expert system as media of consulting and monitoring a person so that can minimize the occurrence of heart attacks resulting in death. The Dempster-Shafer method is non monotonis reasoning method is used to look for inconsistencies due to addition or reduction of new facts that will change the existing rules, so that the Dempster-Shafer method enables one safe in doing the expert work. This research aims to apply the Dempster-Shafer uncertainty methods in expert system to diagnose the risk level of one’s coronary heart disease based on factors and symptom of coronary heart disease The benefits of this research was to know the accuracy of Dempster-Shafer inference engine.The diagnosis results of coronary heart disease is generated by an expert system similarly with manually calculating result using the theory of Dempster-Shafer inference engine. Therefore we can conclude that the expert system that has been built can be used to diagnose Coronary Heart diagnosis. Keywords—Dempster-Shafer, Coronary Heart Disease, Expert Systems
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3352
10.22146/ijccs.3352
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 133-144
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3352/2911
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3353
2017-01-19T03:22:03Z
ijccs:ART
Perbandingan Algoritma Nearest Neighbour, C4.5 dan LVQ untuk Klasifikasi Kemampuan Mahasiswa
Fakhrurrifqi, Muhammad
Wardoyo, Retantyo
AbstrakPada pelaksanaan acara perkuliahan atau saat proses balajar mengajar, dosen sering terkendala dengan kemampuan mahasiswa pada suatu matakuliah di satu kelas yang tidak merata. Oleh karena itu dosen terlebih dulu mengetahui kemampuan setiap mahasiswanya dengan salah satu caranya adalah dengan melihat karakteristik setiap mahasiswa dan kemudian dibandingkan dengan mahasiswa-mahasiswa sebelumnya dalam menyelesaian suatu mata kuliah.Pada penelitian ini, akan dilakukan perbandingan tingkat akurasi antara tiga algoritma, yaitu : Nearest Neighbour, C45 dan LVQ, pada kasus klasifikasi kemampuan mahasiswa untuk keperluan penentuan pembagian kelas mahasiswa baru. Selain itu, juga akan diperbandingkan tingkat kecepatan setiap algoritma dalam mendapatkan kelas kasus lama yang paling mirip dengan kasus baru yang dimasukkan.Kesimpulan yang didapatkan setelah sistem dibangun dan kemudian membandingkan ketiga algoritma tersebut adalah algoritma nearest neighbour dapat menghasilkan akurasi tertinggi. Kata kunci— nearest neighbour, c45, jaringan syaraf tiruan, lvq, mahasiswa AbstractDuring the lecture or in teaching-learning process, a lecturer sometimes finds that heterogeneous classroom as the obstacles due to the differences in students’ performances. Thus, the lecturer should be aware of this phenomenon and one way to overcome this is to find out the characteristics of each student in order to compare them with the previous students while completing their study. In this research, the three algorithms are compared, they are namely; Nearest Neighbor, C45, and LVQ, this is done to classify the students’ ability and to decide the class for the new students. In addition, the speed level of each algorithm is compared by means of getting the nearest previous case study to the new class. Finally, the ideas coming up as the conclusion for this research is that after the system is developed and those three algorithms are being compared, the result shows that there is nearest neighbour algorithm can produce the highest accuracy. Keywords—nearest neighbour, c45, artificial neural network, LVQ, students’ performances.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3353
10.22146/ijccs.3353
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 145-154
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3353/2912
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3354
2017-01-19T03:22:03Z
ijccs:ART
Penerapan Learning Vector Quantization (LVQ) untuk Klasifikasi Status Gizi Anak
Budianita, Elvia
Prijodiprodjo, Widodo
AbstrakPenentuan klasifikasi status gizi anak yang sering dilakukan adalah berdasarkan indeks berat badan menurut tinggi badan (BB/TB). Pada Puskesmas Batupanjang, indeks antropometri tersebut dihitung secara manual untuk menilai status gizi anak sekolah dasar dengan menggunakan daftar tabel z-skor atau simpangan baku / standar deviasi (SD) WHO NCHS (National Centre for Health Statistic). Metode Learning Vektor Quantization (LVQ) dan salah satu algoritma pengembangannya yaitu LVQ3 digunakan dalam penelitian ini untuk menangani penilaian status gizi anak berdasarkan simpangan baku rujukan terhadap indeks berat badan dan tinggi badan tersebut. Variabel yang digunakan dalam penilaian status gizi anak adalah jenis kelamin, berat badan, tinggi badan, penyakit infeksi, nafsu makan, dan pekerjaan kepala keluarga (KK). Berdasarkan dari hasil penelitian dan pembahasan yang dilakukan, algoritma LVQ3 lebih baik diterapkan untuk klasifikasi status gizi anak dibandingkan dengan algoritma LVQ1. Penggunaan parameter window (ε) pada jaringan syaraf tiruan LVQ3 memberikan pengaruh positif yakni dapat meningkatkan performa dalam klasifikasi jika dibandingkan tanpa menggunakan window (LVQ1). Kata kunci— Antropometri, Learning Vektor Quantization, Z-skor. AbstractThe shortest path determination of child nutrient that common uses is based on body weight index by body high level (BB/BT). In Batupanjang Puskesmas, that anthropometry index is calculated manually for assessing the nutrition of children in elementary school by used z-score table list or deviation standard (SD) WHO NCHS (National Centre for Health Statistic).Learning Vektor Quantization (LVQ) Method and one of its algorithm, LVQ3 is used for this research to handle appraisal of children nutrition status based on deviation standard reference for that weight and high index. The variable that used in this appraisal are genre, body weight, body high, infection disease, appetite, and father work.Based on result of this research and discuss that has been done, LVQ3 algorithm is better applied for children nutrient status classification than LVQ1 algorithm. Using of window parameter (ε) in neural network LVQ3 effect positive impact, that is can increase perform in classification than without used window (LVQ1). Keywords—Anthropometry, Learning Vektor Quantization, Z-score.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3354
10.22146/ijccs.3354
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 155-166
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3354/2913
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3357
2017-01-19T03:22:03Z
ijccs:ART
Penyusunan Notasi Musik dengan Menggunakan Onset Detection pada Sinyal Audio
Suryarasmi, Anindita
Pulungan, Reza
AbstrakNotasi musik merupakan dokumentasi tertulis dari sebuah lagu. Walaupun notasi musik telah umum digunakan, namun tidak semua orang yang berkecimpung di dalam dunia musik memahami bagaimana notasi musik dituliskan. Penelitian ini menawarkan penyusunan notasi music secara otomatis dengan mengimplementasikan metode onset detection. Hal mendasar yang harus diketahui dalam pembuatan notasi musik adalah durasi serta nada yang dimainkan. Dengan menggunakan mendeteksi onset dari data audio, jarak antar pukulan dapat diketahui. Dengan demikian maka durasi permainan pun bisa dihitung. Hasil dari pencarian durasi tersebut diolah kembali untuk menciptakan objek-objek note yang disusun dalam notasi musik. Sistem menghasilkan keluaran berupa file dengan format musicXML. Dengan format ini maka hasil keluaran sistem akan bersifat dinamis dan dapat diolah kembali dengan music editor yang mendukung format file tersebut.Hasil penelitian menunjukkan akurasi yang tinggi dalam pengenalan pola permainan yang berhubungan dengan durasi setiap note hingga mencapai 99.62%. Kata kunci— notasi musik, onset detection, musicXML AbstractMusical notation is written documentation of a music. Even though musical notation is commonly used, not every musician knows how to write a musical notation. This work offers automatic musical notation generation from audio signal using onset detection.Duration and pitch of the notes are two basic parameters that have to be known in order to generate music notation. This work implemented onset detection method to recognize the pattern by measuring the interval between two notes. Using the interval, the duration of each notes can be calculated and used to create note objects in order to arrange a musical notation. The output of the system is a musicXML formatted file. This format allowed the output to be edited using software for music editor. The result of this work shows high accuracy up to 99.62% for detecting each notes and measuring the duration. Keywords— musical notation, onset detection, musicXML
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3357
10.22146/ijccs.3357
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 167-176
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3357/2915
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3358
2017-03-25T03:33:59Z
ijccs:ART
Simulasi Antrian Jaringan Multi Server Menggunakan Metode Open Jackson
Supriana, I Wayan
Subanar, Subanar
queueing network; distribution; system performance; multiple server
AbstrakAntrian paket data pada jaringan komputer memiliki model antrian jaringan, dimana proses transmisi yang rumit sehingga tidak dapat diselesaikan secara analitik. Pemodelan dan simulasi diperlukan untuk menyelesaikan masalah antrian jaringan. Model antrian dalam penelitian ini adalah jaringan terbuka dengan analisis paket data menggunakan model server tunggal. Waktu pelayanan paket memiliki distribusi Eksponensial dan distribusi Erlang yang digunakan sebagai pembanding. Jika waktu pelayanan paket data menggunakan distribusi Eksponensial maka model menjadi M/M/1, sedangkan waktu pelayanan paket data menggunakan distribusi Erlang dengan parameter m dan µ, maka model menjadi M/E[m]/1. Penelitian ini menggunakan metode open Jackson untuk melakukan simulasi antrian jaringan guna menghitung nilai karakteristik jaringan. Pengujian sistem simulasi menggunakan packet switching network pada server jaringan komputer Jurusan Ilmu Komputer Universitas Udayana untuk mengetahui performansi sistem yang menggunakan distribusi waktu pelayanan berbeda. Hasil pengujian menunjukkan bahwa waktu pelayanan distribusi Eksponensial memiliki karakteristik yang lebih baik dari distribusi Erlang pada parameter m-Erlang ≥ 2. Kata kunci— antrian jaringan, distribusi,sistem performansi, multi server. AbstractQueue data packet at computer network having a network queueing model, with complicated transmission process so that it can not be solved analytically. Modeling and simulation are needed to resolve the issue queue network. Queueing model in this research is an open network with the analysis of data packet using a single server model. Service time packet has Exponential distribution and Erlang used as comparison. If the service time of data packet using the Exponential distribution, then the model become M/M/1, whereas the service time using the Erlang distribution with parameter m and µ, then the model becomes M/E[m]/1. This research uses an open Jackson method to perform queueing network simulations to calculate the characteristics of network queueing system. Examination of simulation system uses data packets on a computer network server of Department Computer Science University of Udayana to determine system performance using with different service time distribution. The result of examination indicate that service time of Exponential distribution has better characteristic then Erlang distribution at parameter m-Erlang ≥2. Keywords— queueing network, distribution, system performance, multiple server
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3358
10.22146/ijccs.3358
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 177-188
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3358/2916
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3359
2017-01-19T03:22:03Z
ijccs:ART
Prediksi Pemakaian Listrik Kelompok Tarif Menggunakan Jaringan Syaraf Tiruan dan ARIMA
Rumagit, Silviani E
SN, Azhari
AbstrakLatar Belakang penelitian ini dibuat dimana semakin meningkatnya kebutuhan listrik di setiap kelompok tarif. Yang dimaksud dengan kelompok tarif dalam penelitian ini adalah kelompok tarif sosial, kelompok tarif rumah tangga, kelompok tarif bisnis, kelompok tarif industri dan kelompok tarif pemerintah. Prediksi merupakan kebutuhan penting bagi penyedia tenaga listrik dalam mengambil keputusan berkaitan dengan ketersediaan energi listik. Dalam melakukan prediksi dapat dilakukan dengan metode statistik maupun kecerdasan buatan. ARIMA merupakan salah satu metode statistik yang banyak digunakan untuk prediksi dimana ARIMA mengikuti model autoregressive (AR) moving average (MA). Syarat dari ARIMA adalah data harus stasioner, data yang tidak stasioner harus distasionerkan dengan differencing. Selain metode statistik, prediksi juga dapat dilakukan dengan teknik kecerdasan buatan, dimana dalam penelitian ini jaringan syaraf tiruan backpropagation dipilih untuk melakukan prediksi. Dari hasil pengujian yang dilakukan selisih MSE ARIMA, JST dan penggabungan ARIMA, jaringan syaraf tiruan tidak berbeda secara signifikan. Kata Kunci— ARIMA, jaringan syaraf tiruan, kelompok tarif. AbstractBackground this research was made where the increasing demand for electricity in each group. The meaning this group is social, the household, business, industry groups and the government fare. Prediction is an important requirement for electricity providers in making decisions related to the availability of electric energy. In doing predictions can be made by statistical methods and artificial intelligence. ARIMA is a statistical method that is widely used to predict where the ARIMA modeled autoregressive (AR) moving average (MA). Terms of ARIMA is the data must be stationary, the data is not stationary should be stationary use differencing. In addition to the statistical method, predictions can also be done by artificial intelligence techniques, which in this study selected Backpropagation neural network to predict. From the results of tests made the difference in MSE ARIMA, ANN and merging ARIMA, artificial neural networks are not significantly different. Keyword—ARIMA, neural network, tarif groups
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3359
10.22146/ijccs.3359
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 189-198
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3359/2917
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3360
2017-01-19T03:22:03Z
ijccs:ART
Pengembangan Sistem Evaluasi Kegiatan Belajar Mengajar Berbasis Web Studi Kasus : di SMA Negeri 1 Surakarta
Susilowati, Emi Budi
Ashari, Ahmad
AbstrakInternet telah menjadi sumber informasi yang tidak terbatas di dalam pendidikan. Dengan adanya internet, berbagai informasi dapat diperoleh secara mudah dan cepat serta memberikan banyak manfaat diantaranya memperluas cakrawala siswa, sebagai sumber tambahan pelajaran dan mengembangkan kreatifitas siswa. Disamping itu juga dikembangkannya online learning yang memudahkan guru dalam memberikan pengayaan materi diluar tatap muka maupun memberikan evaluasi kepada peserta didik dengan memanfaatan jaringan internet sehingga mempermudah dan memperlancar dalam penyelenggaraan pendidikan. Salah satu teknologi dalam internet yang digunakan adalah web service. Web service dibangun pada inti protokol internet yaitu TCP/IP dan HTTP. Dalam kegiatan belajar mengajar dikenal suatu evaluasi yang merupakan pengukuran hasil belajar siswa sebagai prestasi belajar, yaitu penguasaan materi pelajaran sesuai dengan kompetensi yang ditetapkan. Untuk mempermudah dalam mengukur ketercapaian belajar tersebut dikembangkan program aplikasi Sistem Evaluasi Kegiatan Belajar Mengajar Berbasis Web yang diintegrasikan dengan e-learning yang sudah tersedia, sehingga kebutuhan user yang menggunakan online test dari e-learning bisa ditangani.Penelitian ini menghasilkan web penyedia layanan analisis butir soal dan analisis ketuntasan belajar yang diintegrasikan dengan e-learning yang sudah tersedia disekolah menggunakan web service. Pengujian dilakukan dengan cara pengintegrasian data dengan e-learning dilakukan tukar menukar pesan terhadap permintaan, tanggapan dan kesalahan dalam parameter permintaan. Kata kunci— Web Service, e-learning, Analisis Evaluasi Pembelajaran AbstractThe Internet has become an unlimited source of information in education. With the Internet, information can be obtained easily and quickly and provides many benefits including expanding the horizons of students, as an additional source of learning and develop student creativity. Besides, the development of online learning that allows teachers to provide enrichment materials outside of face-to-face and provide evaluations to students with memanfaatan Internet network that simplify and streamline the education. One of the technologies used in the Internet is a web service. Web services are built on the core Internet protocols are TCP / IP and HTTP.In the teaching and learning activities that are known to an evaluation of student learning outcomes as a measurement of achievement, that mastery of the subject matter in accordance with established competencies. To make it easier to measure the achievement of learning were developed application program Evaluation System Teaching and Learning Activities are integrated with the Web-based e-learning are already available, so the user needs to use online test of the e-learning can be handled.This research resulted in the service provider's point about the analysis and the analysis of mastery learning that integrates with existing e-learning available at the school using the web service. Testing is done by integrating the data with e-learning done exchanging messages to requests, responses and errors in parameter query. Keywords—Web services, e-learning, Learning Evaluation Analysis
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3360
10.22146/ijccs.3360
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 199-208
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3360/2918
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3361
2017-01-19T03:22:03Z
ijccs:ART
Aplikasi Pencarian Lokasi Fasilitas Umum Berbasis Foursquare APIv2 pada Sistem Operasi Android
Rokhman, Nur
Nugroho, Iqnatius Dimas
AbstrakSebuah smartphone umunya dilengkapi dengan Global Positioning System (GPS). Pengguna smartphone disamping dapat mengetahui lokasi dirinya, umumnya juga ingin mengetahui lokasi sekitarnya. Foursquare merupakan salah satu jejaring sosial yang menyediakan layanan berbasis lokasi. Foursquare memiliki fitur check-in, untuk menandai lokasi pengguna.Dalam penelitian ini akan dikembangkan aplikasi pada perangkat dengan sistem operasi Android yang dapat mencari lokasi fasilitas umum di sekitar pengguna dengan memanfaatkan teknologi layanan berbasis lokasi. Aplikasi ini memanfaatkan data dari Foursquare. Hasil pengujian terhadap aplikasi yang dibangun menunjukkan filter data dan sistem auto check-in berjalan dengan baik sehingga duplikasi data dalam Foursquare dapat diminimalkan. Kata kunci— Layanan berbasis lokasi, Android, Foursquare, Fasilitas umum AbstractA smartphone is equipped with Global Positioning System (GPS). A smartphone user may know the location itself, and usually want to know the surrounding location. Foursquare is a social network that provide location-based services. Foursquare has a check-in feature to mark the location of the user.This research develops applications on devices with Android operating system that can find location of public facilities around the user by using location-based services technology. This application uses Foursquare data.The test results showed that the application can filter data and the check-in systems running properly such that duplication of data in Foursquare can be minimized. Keywords— Location Based Services (LBS), Android, Foursquare, Public Facility
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2013-07-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3361
10.22146/ijccs.3361
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 7, No 2 (2013): July; 209-220
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3361/2919
Copyright (c) 2013 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3489
2017-01-19T03:22:24Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/3490
2017-01-19T03:22:25Z
ijccs:ART
Sistem Pendukung Keputusan Penentuan Pemenang Tender Pekerjaan Konstruksi dengan Metode Fuzzy AHP
Sri Astuti, Peggi
Wardoyo, Retantyo
AbstrakPengambilan keputusan dalam penentuan pemenang tender pekerjaan konstruksi (tidak kompleks) pada pembangunan gedung kuliah Fakultas Ekonomi Univesitas Udayana (UNUD) oleh panitia tender di Bagian Perlengkapan Rektorat UNUD masih dilakukan secara manual (dengan software Microsoft Excel dan Word), sehingga untuk membantu dan mempercepat pengambilan keputusan tersebut (dalam situasi beberapa/banyak peserta tender memenuhi semua evaluasi kriteria dan memiliki harga penawaran terkoreksi terendah yang sama di bawah HPS) maka penelitian ini bertujuan untuk membangun SPK (Sistem Pendukung Keputusan) dengan metode Fuzzy AHP. Versi Fuzzy AHP yang dipakai adalah model Chang (1992) karena memiliki langkah-langkah sederhana dan mudah diaplikasikan pada penelitian ini. Hasil penelitian menunjukkan bahwa SPK yang dibangun menghasilkan perangkingan peserta 1, 2, dan 3 yang sama dengan sistem manual yang ada di Bagian Perlengkapan Rektorat UNUD, meskipun perangkingan 4, 5, 6 yang juga dihasilkan SPK ini tidak ada di sistem manual karena perangkingan 4, 5, 6 tidak memenuhi evaluasi kriteria kualifikasi (syarat untuk lulus tender adalah memenuhi semua evaluasi kriteria). Maka disimpulkan bahwa SPK yang dibangun menghasillkan informasi yang valid. Kata kunci— sistem pendukung keputusan, fuzzy AHP, tender, pekerjaan konstruksi AbstractDecision-making to determine the winner of project tender (not complex one) on the construction of college buildings for Economics Faculty of Udayana University by tender committee at the Rectorate Equipment Section of Udayana University, still is carried out manually (applying Microsoft Excel and Word), so to assist and accelerate the decision (in this situation a few/many bidders met all evaluation criteria and have the same lowest bidding price corrected under HPS), this study aims to build a DSS (Decision Supporting System) with Fuzzy AHP method. The applied Fuzzy AHP version is Chang model (1992) because it has simple steps and easy to apply in this study. The results showed that SPK produced ranking method of 1, 2, and 3 that are similar to the existing manual system in Equipment Section of the Rectorate, though the ranking method of 4, 5, 6, which also produced by SPK, is not contained in the manual system because ranking method of 4, 5, 6 did not meet the qualifying criteria evaluation (a requirement for graduation is to fulfill all tender evaluation criteria). It, therefore, comes to conclude that the DSS produce valid information. Keywords— decision supporting system, fuzzy AHP, tender, construction project
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3490
10.22146/ijccs.3490
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 1-12
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3490/3017
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3491
2017-01-19T03:22:25Z
ijccs:ART
Penerapan Metode Support Vector Machine pada Sistem Deteksi Intrusi secara Real-time
Jacobus, Agustinus
Winarko, Edi
AbstrakSistem deteksi intrusi adalah sebuah sistem yang dapat mendeteksi serangan atau intrusi dalam sebuah jaringan atau sistem komputer, umum pendeteksian intrusi dilakukan dengan membandingkan pola lalu lintas jaringan dengan pola serangan yang diketahui atau mencari pola tidak normal dari lalu lintas jaringan. Pertumbuhan aktivitas internet meningkatkan jumlah paket data yang harus dianalisis untuk membangun pola serangan ataupun normal, situasi ini menyebabkan kemungkinan bahwa sistem tidak dapat mendeteksi serangan dengan teknik yang baru, sehingga dibutuhkan sebuah sistem yang dapat membangun pola atau model secara otomatis.Penelitian ini memiliki tujuan untuk membangun sistem deteksi intrusi dengan kemampuan membuat sebuah model secara otomatis dan dapat mendeteksi intrusi dalam lingkungan real-time, dengan menggunakan metode support vector machine sebagai salah satu metode data mining untuk mengklasifikasikan audit data lalu lintas jaringan dalam 3 kelas, yaitu: normal, probe, dan DoS. Data audit dibuat dari preprocessing rekaman paket data jaringan yang dihasilkan oleh Tshark.Berdasar hasil pengujian, sistem dapat membantu sistem administrator untuk membangun model atau pola secara otomatis dengan tingkat akurasi dan deteksi serangan yang tinggi serta tingkat false positive yang rendah. Sistem juga dapat berjalan pada lingkungan real-time. Kata kunci— deteksi intrusi, klasifikasi, preprocessing, support vector machine AbstractIntrusion detection system is a system for detecting attacks or intrusions in a network or computer system, generally intrusion detection is done with comparing network traffic pattern with known attack pattern or with finding unnormal pattern of network traffic. The raise of internet activity has increase the number of packet data that must be analyzed for build the attack or normal pattern, this situation led to the possibility that the system can not detect the intrusion with a new technique, so it needs a system that can automaticaly build a pattern or model.This research have a goal to build an intrusion detection system with ability to create a model automaticaly and can detect the intrusion in real-time environment with using support vector machine method as a one of data mining method for classifying network traffic audit data in 3 classes, namely: normal, probe, and DoS. Audit data was established from preprocessing of network packet capture files that obtained from Tshark. Based on the test result, the system can help system administrator to build a model or pattern automaticaly with high accuracy, high attack detection rate, and low false positive rate. The system also can run in real-time environment. Keywords— intrusion detection, classification, preprocessing, support vector machine
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3491
10.22146/ijccs.3491
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 13-24
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3491/3018
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3492
2017-01-19T03:22:25Z
ijccs:ART
Optimasi Bobot Jaringan Syaraf Tiruan Mengunakan Particle Swarm Optimization
Nugraha, Harry Ganda
SN, Azhari
AbstrakMasalah peramalan adalah masalah yang sering ditemukan dalam proses pengambilan keputusan. Tool yang cukup populer untuk menangani masalah peramalan adalah jaringan syaraf tiruan. Jaringan syaraf tiruan banyak digunakan karena kemampuannya untuk meramalkan data nonlinear time series. Algoritma pembelajaran yang sering digunakan untuk memperbaiki bobot pada jaringan syaraf tiruan adalah backpropagation. Namun proses pembelajaran backpropagation terkadang menemui kendala seperti over fiting sehingga tidak dapat menggeneralisasi masalah. Untuk mengatasi masalah tersebut diusulkan penggunaan particle swarm optimization untuk melatih bobot pada jaringan. Performa dari masing-masing model akan diukur dengan mean square error, mean absolute percentage error, normalized mean square error, prediction of change in direction, average relative variance. Untuk keperluan analisis model digunakan data time series inflasi di indonesia. Metode yang diusulkan menunjukan sistem jaringan hybrid mampu menangani masalah peramalan data time series dengan performa mendekati jaringan syaraf tiruan backpropagation.. Kata kunci—jaringan syaraf tiruan, particle swarm optimization, prediction of change in direction, average relative variance . AbstractForecasting problem is common problem that easily found in decision making process. The popular tool to handle that problem is artificial neural network. Artificial neural network have been widely use because its ability to forecast nonlinear time series data. The learning method that have been widely use to train artificial neural network weight is backpropagation. Otherwise backpropagation learning process sometimes find problem such as over fiting so it can’t generalized the problem. Particle swarm optimization method had been proposed to train artificial neural network weigth. Mean square error, mean absolute percentage error, normalized mean square error, prediction of change in direction, average relative variance had been use to measures the model performance. Indonesia inflation time series data had been use to analyzed the model. The proposed method show that hybrid system could handle the time series forecasting problem as good as backpropagation artificial neural network Keywords—artificial neural network, particle swarm optimization, prediction of change in direction, average relative variance.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3492
10.22146/ijccs.3492
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 25-36
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3492/3019
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3494
2017-01-19T03:22:25Z
ijccs:ART
Sistem Evaluasi Kelayakan Mahasiswa MagangMenggunakan Elman Recurrent Neural Network
Jiwa Permana, Agus Aan
Prijodiprodjo, Widodo
AbstrakJaringan Syaraf Tiruan (JST) dapat digunakan untuk memecahkan permasalahan tertentu seperti prediksi, klasifikasi, pengolahan data, dan robotik.Berdasarkan paparan tersebut, sehingga dalam penelitian ini mencoba menerapkan JST untuk menangani permasalahan dalam program magang yang sedang dihadapi dalam upaya untuk meningkatkan kompetensi, pengalaman, serta melatih softskill mahasiswa.Sistem yang dikembangkan dapat digunakan untuk mengevaluasi kelayakan mahasiswa dalam program magang ke luar daerah dengan menerapkan Elman Recurrent Neural Network (ERNN), sehingga dapat memberikan informasi yang akurat kepada pihak jurusan untuk menentukan keputusan yang tepat.Struktur Elman dipilih karena dapat membuat iterasi jauh lebih cepat sehingga memudahkan proses konvergensi. Adapun metode pembelajaran yang digunakan adalah Backpropagation ThroughTime dengan model epochwise training mode. Sistem diimplementasikan dengan menggunakan bahasa pemrograman C# dengan basis data MySQL. Vektor input yang digunakan terdiri dari 11 variabel. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan akan cepat mengalami konvergen dan mampu mencapai nilai error paling optimal (minimum error) apabila menggunakan 1 hidden layer dengan jumlah neuron 20 unit. Akurasi terbaik dapat diperoleh dengan menggunakan LR sebesar 0.01 dan momentum 0.85 dimana akurasi rata-rata dalam pengujian mencapai 87.50%. Kata kunci—Evaluasi, Kelayakan, Jaringan Syaraf Tiruan (JST), Elman Recurrent Neural Network, Magang Abstract Artificial Neural Network (ANN) can be used to solve specific problems such as prediction, classification, data processing, and robotics. Based on the exposure, so in this study tried to apply neural networks to handle problems in apprentice program facing in an effort to increase the competence, experience and soft skills training students. The system developed can be used to evaluate the students in the apprentice program to other regions by applying the Elman Recurrent Neural Network (ERNN), so it can provide accurate information to the department to determine appropriate decisions. Elman structure was chosen because it can be create much more rapidly iterations so as to facilitate the convergence process. The learning method used is Backpropagation Through Time with model epochwise training mode. The system is implemented using the C # programming language with a MySQL database. Input vector used consists of 11 variables. The results showed that the developed system will rapidly converge and can reach optimal error value (minimum error) when using one hidden layer with 20 units number of neurons. Best accuracy can be obtained using the LR of 0.01 and momentum 0.85 which average accuracy reaches 87.50% in testing. Keywords—Evaluation, Feasibility, Artificial Neural Network (ANN), Elman Recurrent Neural Network, Apprenticeship
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3494
10.22146/ijccs.3494
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 37-48
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3494/3020
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3495
2017-03-16T08:01:46Z
ijccs:ART
Peramalan KLBCampakMenggunakanGabunganMetode JST Backpropagationdan CART
Sulistyowati, Sulistyowati
Winarko, Edi
KLB, Measles, Forecasting, Backprpagation, CART
Forecasting Measles Outbreak in an area is necessary because to prevent widespread occurrence in an area. One way that is done in this study is to predict the incidence of measles by using a combination of backpropagation ANN and CART. Backpropagation ANN is used to predict the incidence of measles periodic data, then the CART method used to perform the determination of an outbreak or non-outbreak area.Backpropagation neural network is one of the most commonly used methods for forecasting which can result in a better level of accuracy than other ANN methods. While the methods of CART is a binary tree method is also popular for the classification, which can produce models or classification rules.Results of this study show that the number of the best window for backpropagation neural network to forecast the outcome affect forecasting accuracy. Determination of the number of windows of a backpropagation neural network forecasting on each attribute gives different results and directly affects the forecasting results. ANN can do the forecasting in time series using siliding window with accuracy 90.01% and then CART method can be use for classification with accuracy 83.33%.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3495
10.22146/ijccs.3495
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 49-58
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3495/3021
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3496
2017-04-05T06:11:56Z
ijccs:ART
Klasifikasi Massa pada Citra Mammogram Berdasarkan Gray Level Cooccurence Matrix (GLCM)
Listia, Refta
Harjoko, Agus
mammogram, GLCM, Backpropagation
AbstrakKanker payudara adalah penyakit yang paling umum dideritaoleh wanitapadabanyak negara. Pemeriksaan kanker payudara dapat dilakukan dengan menggunakan mamografi.Padapenelitianini, pendekatan yang diusulkan bertujuanuntuk mengklasifikasi mammogram berdasarkan tiga kelas yaitukelas normal, tumor jinak, dan tumor ganas. Sistem yang diusulkan terdiri dari empat langkah utamayaitu preprosesing, segmentasi, ekstraksi fitur dan klasifikasi. Padatahappreprosesingakandilakukangrayscale, interpolasi, amoeba mean filter dan segmentasi. Ekstraksi ciri menggunakan Gray Level Cooccurence Matrix (GLCM) danakan dihitung ciri-ciristatistikpada 4 arah (d=1 dan d=2) , GLCM 8 arah(d=1) dan GLCM 16 arah (d=2).Fitur yang digunakanada 5 yaitukontras, energi, entropi, korelasi dan homogenitas. Langkah terakhir adalah klasifikasi menggunakan Backpropagation. Beberapa parameter penting divariasikan dalam proses ini seperti learning rate dan jumlah node dalam lapisan tersembunyi. Hasil penelitian menunjukkan bahwa fitur ekstraksi GLCM 4 arah(denganjarak d=1memiliki akurasi terbaik dalammengklasifikasimammogram yaitusebesar 81,1% dankhususpadaarah akurasi klasifikasidiperolehsebesar 100%. AbstractBreast cancer is the most common disease in women in many countries. Breast cancer can be performed using mammography. In this work, an approach is proposed to classify mammogram based on three classes such as normal, benign, and malignant. The proposed system consist of four major steps : preprocessing, segmentation, feature extraction and classification. In preprocessing grayscale, interpolation, amoeba mean filter and segmentation are applicated. Feature extraction using Gray level Cooccurence Matrix (GLCM) and the features will be calculated in 4 angles (d=1 and d= 2), GLCM 8 angles and GLCM 16 angles. The 5 features are contrast, energy, entropy, correlation and homogeneity. The final step is classification using Backpropagation. Some of important parameters will be variated in this process such as learning rate and the number of node in hidden layer. The research result suggest that extraction feature in 4 angles ( and d=1 is the best accuracy for classifying mammogram based on classes 81,1% and especially in accuracy is 100%.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3496
10.22146/ijccs.3496
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 59-68
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3496/3022
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3497
2017-01-19T03:22:25Z
ijccs:ART
Perbandingan Mother Wavelet dalam Proses Denoising pada Suara
Ramadhan, Rahmat
Putra, Agfianto Eko
AbstrakTransformasi Wavelet telah digunakan dalam proses denoising pada suara dengan tujuan untuk meningkatkan kualitas dari rekaman suara yang tercampur dengan derau. Jenis-jenis derau yang terlibat antara lain White Gaussian Noise (WGN), White Uniform Noise (WUN) dan Colored Noise. Dalam penelitian ini dilakukan perbandingan terhadap beberapa mother wavelet, diantaranya Daubechies, Coiflet dan Symlet, dalam proses denoising pada sinyal suara yang diberikan WGN, WUN dan Colored Noise. Metode thresholding yang digunakan dalam proses denoising adalah Soft Thresholding dan nilai threshold berupa Time-Adapted Threshold (TAT) yang diperoleh dengan melakukan estimasi energi untuk membangun sinyal melalui Teager Energy Operator (TEO). Pengujian untuk mendapatkan mother wavelet terbaik dilakukan menggunakan uji Kruskal-Wallis yang dilanjutkan dengan uji Mann-Whitney. Hasil yang diperoleh menunjukkan bahwa Db20, Db30, Db40 dan Coif5 merupakan mother wavelet yang baik untuk mereduksi WGN;Db40, Db20 dan Db30 merupakan mother wavelet yang baik untuk mereduksi WUN dan untuk mereduksi Colored Noise, dapat menggunakan beberapa mother wavelet dalam penelitian ini, kecuali Db30 dan Db40. Kata kunci—Mother wavelet, denoising, sinyal suara, TAT, Soft Thresholding. AbstractWavelet Transform was used in denoising process on speech to enhance the quality of speech that courrupted by noise. The kinds of involved noises are White Gaussian Noise (WGN), White Uniform Noise (WUN) and Colored Noise. In this research, the comparison of mother wavelet is performed among Daubechies, Coiflet and Symlet, in denoising process on speech which given by WGN, WUN and Colored Noise. The thresholding method is used in denoising process is Soft Thresholding and threshold value is Time Adapted Threshold (TAT) which obtained by estimating the power for building the signal through Teager Energy Operator (TEO). The testing for obtaining the best moher wavelet is using Kruskal-Wallis test and followed by Mann-Whitney test. The result shows that Db20, Db30, Db40 and Coif5 mother wavelets are better than others to reduce WGN; Db40, Db20 dan Db30mother waveletsare better then the other to reduce WUN and to reduce Colored Noise can use some mother wavelets in this research, except Db30 and Db40. Keywords—Mother wavelet, denoising, speech signal, TAT, Soft Thresholding
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3497
10.22146/ijccs.3497
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 69-80
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3497/3023
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3498
2017-01-19T03:22:25Z
ijccs:ART
Penyembunyian Data pada File Video Menggunakan Metode LSB dan DCT
Yunus, Mahmuddin
Harjoko, Agus
AbstrakPenyembunyian data pada file video dikenal dengan istilah steganografi video. Metode steganografi yang dikenal diantaranya metode Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT). Dalam penelitian ini dilakukan penyembunyian data pada file video dengan menggunakan metode LSB, metode DCT, dan gabungan metode LSB-DCT. Sedangkan kualitas file video yang dihasilkan setelah penyisipan dihitung dengan menggunakan Mean Square Error (MSE) dan Peak Signal to Noise Ratio (PSNR).Uji eksperimen dilakukan berdasarkan ukuran file video, ukuran file berkas rahasia yang disisipkan, dan resolusi video.Hasil pengujian menunjukkan tingkat keberhasilan steganografi video dengan menggunakan metode LSB adalah 38%, metode DCT adalah 90%, dan gabungan metode LSB-DCT adalah 64%. Sedangkan hasil perhitungan MSE, nilai MSE metode DCT paling rendah dibandingkan metode LSB dan gabungan metode LSB-DCT. Sedangkan metode LSB-DCT mempunyai nilai yang lebih kecil dibandingkan metode LSB. Pada pengujian PSNR diperoleh databahwa nilai PSNR metode DCTlebih tinggi dibandingkan metode LSB dan gabungan metode LSB-DCT. Sedangkan nilai PSNR metode gabungan LSB-DCT lebih tinggi dibandingkan metode LSB. Kata Kunci—Steganografi, Video, Least Significant Bit (LSB), Discrete Cosine Transform (DCT), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) AbstractHiding data in video files is known as video steganography. Some of the well known steganography methods areLeast Significant Bit (LSB) and Discrete Cosine Transform (DCT) method. In this research, data will be hidden on the video file with LSB method, DCT method, and the combined method of LSB-DCT. While the quality result of video file after insertion is calculated using the Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experiments were conducted based on the size of the video file, the file size of the inserted secret files, and video resolution.The test results showed that the success rate of the video steganography using LSB method was 38%, DCT method was 90%, and the combined method of LSB-DCT was 64%. While the calculation of MSE, the MSE method DCT lower than the combined method of LSB and LSB-DCT method. While LSB-DCT method has asmaller value than the LSB method. The PNSR experiment showed that the DCT method PSNR value is higher than the combined method of LSB and LSB-DCT method. While PSNR combined method LSB-DCT higher compared LSB method. Keywords—Steganography, Video, Least Significant Bit (LSB), Discrete Cosine Transform (DCT), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR)
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3498
10.22146/ijccs.3498
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 81-90
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3498/3024
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3499
2017-04-05T06:11:56Z
ijccs:ART
Analisis Sentimen Twitter untuk Teks Berbahasa Indonesia dengan Maximum Entropy dan Support Vector Machine
Putranti, Noviah Dwi
Winarko, Edi
sentiment analysis, classification, maximum entropy POS tagger, support vector machine, twitter
AbstrakAnalisis sentimen dalam penelitian ini merupakan proses klasifikasi dokumen tekstual ke dalam dua kelas, yaitu kelas sentimen positif dan negatif. Data opini diperoleh dari jejaring sosial Twitter berdasarkan query dalam Bahasa Indonesia. Penelitian ini bertujuan untuk menentukan sentimen publik terhadap objek tertentu yang disampaikan di Twitter dalam bahasa Indonesia, sehingga membantu usaha untuk melakukan riset pasar atas opini publik. Data yang sudah terkumpul dilakukan proses preprocessing dan POS tagger untuk menghasilkan model klasifikasi melalui proses pelatihan. Teknik pengumpulan kata yang memiliki sentimen dilakukan dengan pendekatan berdasarkan kamus, yang dihasilkan dalam penelitian ini berjumlah 18.069 kata. Algoritma Maximum Entropy digunakan untuk POS tagger dan algoritma yang digunakan untuk membangun model klasifikasi atas data pelatihan dalam penelitian ini adalah Support Vector Machine. Fitur yang digunakan adalah unigram dengan fitur pembobotan TFIDF. Implementasi klasifikasi diperoleh akurasi 86,81 % pada pengujian 7 fold cross validation untuk tipe kernel Sigmoid. Pelabelan kelas secara manual dengan POS tagger menghasilkan akurasi 81,67%. Kata kunci—analisis sentimen, klasifikasi, maximum entropy POS tagger, support vector machine, twitter. AbstractSentiment analysis in this research classified textual documents into two classes, positive and negative sentiment. Opinion data obtained a query from social networking site Twitter of Indonesian tweet. This research uses Indonesian tweets. This study aims to determine public sentiment toward a particular object presented in Twitter businesses conduct market. Collected data then prepocessed to help POS tagged to generate classification models through the training process. Sentiment word collection has done the dictionary based approach, which is generated in this study consists 18.069 words. Maximum Entropy algorithm is used for POS tagger and the algorithms used to build the classification model on the training data is Support Vector Machine. The unigram features used are the features of TFIDF weighting.Classification implementation 86,81 % accuration at examination of 7 validation cross fold for the type of kernel of Sigmoid. Class labeling manually with POS tagger yield accuration 81,67 %. Keywords—sentiment analysis, classification, maximum entropy POS tagger, support vector machine, twitter.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3499
10.22146/ijccs.3499
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 91-100
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3499/3025
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/3500
2017-03-25T02:32:50Z
ijccs:ART
Pengelompokan Berita Indonesia Berdasarkan Histogram Kata Menggunakan Self-Organizing Map
Ambarwati, Ambarwati
Winarko, Edi
Indonesia news clustering; clustering based on words histograms; news clustering using SOM
AbstrakBerita merupakan sumber informasi yang dinantikan oleh manusia setiap harinya. Manusia membaca berita dengan kategori yang diinginkan. Jika komputer mampu mengelompokkan berita secara otomatis maka tentunya manusia akan lebih mudah membaca berita sesuai dengan kategori yang diinginkan. Pengelompokan berita yang berupa artikel secara otomatis sangatlah menarik karena mengorganisir artikel berita secara manual membutuhkan waktu dan biaya yang tidak sedikit.Tujuan penelitian ini adalah membuat sistem aplikasi untuk pengelompokkan artikel berita dengan menggunakan algoritma Self Organizing Map. Artikel berita digunakan sebagai input data. Kemudian sistem melakukan pemrosesan data untuk dikelompokkan. Proses yang dilakukan sistem meliputi preprocessing, feature extraction, clustering dan visualize.Sistem yang dikembangkan mampu menampilkan hasil clustering dengan algoritma Self Organizing Map dan memberikan visualisasi dengan smoothed data histograms berupa island map dari artikel berita. Selain itu sistem dapat menampilkan koleksi dokumen dari lima kategori berita yang ada pada tiap tahunnya dan banyaknya kata (histogram kata) yang sering muncul pada tiap arikel berita. Pengujian dari sistem ini dengan memasukan artikel berita, kemudian sistem memprosesnya dan mampu memberikan hasil cluster dari artikel berita yang dimasukan. Kata kunci—Pengelompokkan berita Indonesia, pengelompokkan berdasar histogram kata, pengelompokan berita menggunakan SOM Abstract News is awaited information resources by humans every day. Human reading the news with the desired category. If the computer able to news clustering with automatically, humans of course will be easier to read the news according to the desired category. News clustering in the form of news articles with automatically very interesting because it organizes news articles manually takes time and costs not a little bit.The purpose of this research is to create a system application for grouping news articles by using the Self Organizing Map algorithm. News article be used as input into the system. News articles used as input data. Then the system performs data processing until to be clustered. Processes performed by the system covers: preprocessing, feature extraction, clustering and visualize.The system developed is able to display the results clustering of the Self Organizing Map algorithm and gives visualization of the Smoothed Data Histograms in the form of island map from news articles. Additionally the system can display a word histogram and news articles from five categories news in each year. Testing of this system by entering the news articles, then the system performs data processing and gives results of a cluster from news articles that input. Keywords—Indonesia news clustering, clustering based on words histograms, news clustering using SOM
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2014-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/3500
10.22146/ijccs.3500
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 8, No 1 (2014): January; 101-110
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/3500/3026
Copyright (c) 2014 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/5204
2017-01-19T03:20:42Z
ijccs:ART
oai:jurnal.ugm.ac.id:article/5205
2017-01-19T03:20:42Z
ijccs:ART
Data Mining Untuk Mengetahui Tingkat Loyalitas Konsumen Terhadap Merek Kendaraan Bermotor dan Pola Kecelakaan Lalulintas di DIY
Sasmito Ariwibowo, Agus
Winarko, Edi
Abstract— The data of vehicle sales and traffic accident can be processed into information that is important for vehicle dealers and the Police Department. Those important information researched are the level of consumer loyalty to the vehicle brands and to predict the vehicle’s brands that will be purchased by a consumer. The study also tries to analyze the traffic accident data to find out is there any link between the occurrence of an accident to a certain brand of vehicle. This research implementing data mining method called ‘rule based classification’ to establish the sales of vehicles rules by which can be used to classify consumer into group level of brand loyalty and also estimate the brand of the next vehicle’s brand that will be purchased by the consumer. This research will process the data traffic accident by using data mining techniques called Apriori Method. Apriori Method is used to identify a pattern of accidents based on brand, type of vehicles, and the vehicle’s color. The results are used to estimate whether there is any correlation between the occurrences of a traffic accident to a particular brand. The result can help companies or vehicle dealers to obtain information about the level of the consumer’s brand loyalty to the dealer’s brand and to predict the brand that the consumer would be buy for the next vehicle. The result can also help the Police Department to find out whether there is any correlation between the occurrence of traffic accidents to the brand, type and the color of vehicle. Keywords— rule based classification, apriori, brand loyalty, traffic accident.
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-11-19
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/5205
10.22146/ijccs.5205
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 3 (2011): November; 1-10
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/5205/4260
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
oai:jurnal.ugm.ac.id:article/5206
2017-01-19T03:20:42Z
ijccs:ART
Klasifikasi Varietas Tanaman Kelengkeng Berdasarkan Morfologi Daun Menggunakan Backpropagation Neural Network dan Probabilistic Neural Network
Syahputra, Hermawan
Harjoko, Agus
Pengenalan daun memainkan peran penting dalam klasifikasi tanaman dan isu utamanya terletak pada apakah fitur yang dipilih stabil dan memiliki kemampuan yang baik untuk membedakan berbagai jenis daun. Pengenalan tanaman berbantuan komputer merupakan tugas yang masih sangat menantang dalam visi komputer karena kurangnya model atau skema representasi yang tepat. Fokus komputerisasi pengenalan tanaman hidup adalah untuk mengukur bentuk geometris berbasis morfologi daun. Informasi ini memainkan peran penting dalam mengidentifikasi berbagai kelas tanaman. Pada penelitian ini dilakukan pengenalan jenis tanaman berdasarkan fitur yang menonjol dari daun seperti fisiologis panjang (physiological length), lebar (physiological width), diameter, keliling (leaf perimeter), luas (leaf area), faktor mulus (narrow factor), rasio aspek (aspect ratio), factor bentuk (form factor), rectangularity, rasio perimeter terhadap diameter, rasio perimeter panjang fisiologi dan lebar fisiologi yang dapat digunakan untuk membedakan satu sama lain. Berdasarkan hasil pengujian, ditunjukkan bahwa hasil pencocokkan daun kelengkeng dengan menggunakan neural network lebih baik dibandingkan dengan hasil pencocokkan daun kelengkeng dengan menggunakan probabilistic neural network. Akan tetapi ekstraksi fitur dengan menggunakan morfologi belum dapat memberikan informasi pembeda yang signifikan bagi pengenalan tanaman varitas kelengkeng berdasarkan daunnya.Keywords— klasifikasi, morfologi daun, neural network, probabilistic neural network
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
IndoCEISS
2011-11-19
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
https://jurnal.ugm.ac.id/ijccs/article/view/5206
10.22146/ijccs.5206
IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 3 (2011): November; 11-16
2460-7258
1978-1520
eng
https://jurnal.ugm.ac.id/ijccs/article/view/5206/4261
Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems
http://creativecommons.org/licenses/by-sa/4.0
7633cc82c874cb7b8d4ab8cd9c1f37bd