2024-03-29T13:52:16Z
https://jurnal.ugm.ac.id/ijitee/oai
oai:jurnal.ugm.ac.id:article/35025
2018-04-24T03:53:02Z
ijitee:ART
Analysis of Segmentation Parameters Effect towards Parallel Processing Time on Fuzzy C Means Algorithm
Ramdani, Cepi
Soesanti, Indah
Wibirama, Sunu
FCM, Processing Time. Segmentation Parameters, Parallel Processing, Fuzzy C Means
Fuzzy C Means algorithm or FCM is one of many clustering algorithms that has better accuracy to solve problems related to segmentation. Its application is almost in every aspects of life and many disciplines of science. However, this algorithm has some shortcomings, one of them is the large amount of processing time consumption. This research conducted mainly to do an analysis about the effect of segmentation parameters towards processing time in sequential and parallel. The other goal is to reduce the processing time of segmentation process using parallel approach. Parallel processing applied on Nvidia GeForce GT540M GPU using CUDA v8.0 framework. The experiment conducted on natural RGB color image sized 256x256 and 512x512. The settings of segmentation parameter values were done as follows, weight in range (2-3), number of iteration (50-150), number of cluster (2-8), and error tolerance or epsilon (0.1 – 1e-06). The results obtained by this research as follows, parallel processing time is faster 4.5 times than sequential time with similarity level of image segmentations generated both of processing types is 100%. The influence of segmentation parameter values towards processing times in sequential and parallel can be concluded as follows, the greater value of weight parameter then the sequential processing time becomes short, however it has no effects on parallel processing time. For iteration and cluster parameters, the greater their values will make processing time consuming in sequential and parallel become large. Meanwhile the epsilon parameter has no effect or has an unpredictable tendency on both of processing time.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-04-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/35025
10.22146/ijitee.35025
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 1, No 4 (2017): December 2017; 99-106
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/35025/20786
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/35026
2018-04-24T03:53:02Z
ijitee:ART
Parameter Identification of Nonlinear System on Combustion Engine Based MVEM using PEM
Badmianto, Trigas
Firmansyah, Eka
Cahyadi, Adha Imam
Parameter identification, Air-Fuel Ratio, MVEM, Spark-ignition engines, fuel injection system, Prediction error minimization
In four-stroke engine injection system, often called spark ignition (SI) engine, the air-fuel ratio (AFR) is taken from the measurement of lambda sensor in the exhaust. This sensor does not directly describe how much AFR in the combustion chamber due to the large transport delay. Therefore, the lambda sensor is used only as a feedback in AFR control "correction", not as the "main" control. The purpose of this research is to identify the parameters of the non-linear system in SI engines to produce AFR estimator. The AFR estimator is expected to be used as a feedback of the main "AFR" control system. The process of identifying the parameters using the Gauss-Newton method, due to its rapid computation to Achieve convergence, is based on prediction error minimization (PEM). The models of AFR estimator is an open-loop system without a universal exhaust gas oxygen (UEGO) sensors as feedback, called a virtual AFR sensor. The high price of UEGO sensors makes the virtual AFR sensor can be a practical solution to be applied in AFR control. The model in this research is based on the mean value engine models (MVEM) with some modifications. The research dataset was taken from a Hyundai Verna 2002 with the additional UEGO type of lambda sensors. The throttle opening angle (input) is played by stepping on the gas pedal and the signal to the injector (input) is set to a certain quantity to produce the AFR (output) value read by the UEGO sensor. This research produces an open loop estimator model or AFR virtual sensors with normalized root mean square error (NRMSE) = 0.06831 = 6.831%.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-04-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/35026
10.22146/ijitee.35026
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 1, No 4 (2017): December 2017; 107-116
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/35026/20787
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/35028
2018-04-24T03:53:02Z
ijitee:ART
Effect of Load Growth on PLTH Baron Techno Park Performance
Pae, Mychael Gatriser
Prasetyo, Tegar
Suharyanto, Suharyanto
Haryono, T.
Prasetyo, Ridwan Budi
Load, Load Growth, Electricity Production, Power Consumption, Performance, NPC, COE.
The reliability of stand-alone and hybrid power plant systems was dependent on electrical loads that the system must supply. For example, on renewable energy sources (RES), Reviews of those systems needs to be calculated well before the development process. One of the most important processes in the initial calculation is the electrical load that must be supplied by the system. The electrical load has a major influence on the amount of power generating capacity. A power plant that has higher electricity production than the load to be fulfilled was considered capable of meeting the system electrical load requirements. However, in terms of the reliability, it is considered as a loss because it will affect the life of the components and the high cost of operating from the system. Therefore, this research discusses the effect of load growth on hybrid power plant system performance of Baron Techno Park. The result of the research shows that the total electricity production of Baron Techno Park hybrid power plant system is 319.695 kWh/year with Net Present Cost (NPC) is $560.077 and the cost of energy (COE) is $0.64/kWh. Total electricity consumption of the PLTH Baron Techno Park is 67.413 kWh/year with total excess electrical energy is 245,547 kWh/year. Load growth of 5%, 10%, 15%, and 20% of the total current load affect the consumption of electric energy, excess electrical energy, and COE. The higher the load growth will affect the total electricity consumption that is increasingly higher so that the total excess electrical energy is lower. This research found that the performance of the system is not influenced by load growth. The highest performance of the system is resulted by the wind turbine of 72.62%, followed by solar panels of 18.82%, and biodiesel of 8.56%.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-04-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/35028
10.22146/ijitee.35028
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 1, No 4 (2017): December 2017; 125-131
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/35028/20788
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/35030
2018-04-24T03:53:02Z
ijitee:ART
Variable Step Size P&O MPPT Algorithm on 250 W Interleaved Flyback Converter
K., Y. Munandar
Firmansyah, Eka
Suharyanto, Suharyanto
MPPT, P&O, MPP, Step-size, photovoltaic.
Maximum power point tracking (MPPT) algorithm seek the MPP to maximize delivered the power of a photovoltaic panel. From several MPPT algorithms, the perturb and observe (P&O) algorithm is commonly used algorithm because of its easy implementation. However, it is not the most efficient algorithm due to the perturbation step is fixed. By using the high step size, the MPP tracking became fast but there would be a high steady state error and by using the low step size, there would be less steady state error but the MPP tracking became slow. Resulting in a waste of energy in steady-state conditions when the working point passes through the MPP and poorly dynamic performance indicated when the setpoint changes due to solar irradiation changes. In this paper, a modification variable step-size of the P&O algorithm has been proposed with setting the step-size automatically at each point of work. To validate the concept of modification variable step-size, simulation using PSIM has been carried out. Compared with the conventional P&O method with fixed step-size, the proposed modified P&O method can increase tracking speed and efficiency in the system.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-04-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/35030
10.22146/ijitee.35030
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 1, No 4 (2017): December 2017; 132-138
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/35030/20789
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/35539
2018-04-24T03:53:02Z
ijitee:ART
Single Phase Full Bridge Inverter Control as Reactive Power Compensator
Nugroho, Anang Budhi
Firmansyah, Eka
Suharyanto, Suharyanto
single-phase full bridge inverter, reactive power compensator, current control of proportional integrator, voltage drop
The drop of local load voltage on the distribution system is an indicator that the system experiences reactive power shortage. It can be overcome by an inverter controlled to compensate reactive power. The benefit of the inverter is that it is easily configured with a variety of functions. This paper presents the control configuration of inverter as reactive power compensators. The method used is a current control system of the proportional integrator (PI) – dq based transformation. This method generates reactive power by regulating the current domain (Id, ref = 0), while the current domain (Iq,ref) is set according to the need. Phase locked loop (PLL) is added so that the inverter can be synchronized well with the grid. According to the analysis of the PI current control, the local load voltage is stable at 219.88 Vrms and the reactive power generated by the inverter is 298 VAR with steady state error 0.11% of the reference power without oscillation.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-04-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/35539
10.22146/ijitee.35539
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 1, No 4 (2017): December 2017; 117-124
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/35539/20974
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/36641
2019-01-08T03:24:41Z
ijitee:ART
Durus Al-Lughah Gontory: Interactive Arabic Mobile Learning for Beginners
Muriyatmoko, Dihin
Abdullah, Achmad Farouq
Musyafa‟, Zaenury Adhiim
durus al-lughah, Gontor, mobile learning, Arabic mobile learning, Arabic learning media
The goal of the Android mobile application for Arabic learning is to help students who are not alumni of Muslim boarding school in everyday interaction using the Arabic language at Universitas Darussalam Gontor and to function as a medium to introduce Arabic of Pondok Modern Darussalam Gontor version to beginners. The contents come from the book of the first edition of chapter 1 to 12 written by KH. Imam Zarkasyi and KH. Imam Syubani. These books are studied by santri of KMI PMDG of class one. This application applies grammar translation and audiolingual method to learn Arabic for beginners and is developed using ADDIE (analysis, design, development, implementation, and evaluation) approach model. The test was done in six ways: its compatibility with any android device at least 4.5 inchi with the type of android mimimum version of 4.0.4 (Ice Cream Sandwich), an expert material of Arabic language learning give rate score 95%, an expert of media learning give rate score 88.9%, 7 of 11 lecturers of Arabic language give an average score of 81.4%, 6 of 30 students from non-alumni muslim boarding school at this campus give 91.6% and 373 general users via playstore from February 1, 2017, to November 18, 2017, rated 4.9. The result of the overall evaluation of all the tests on this apps shows that this application is relevant to beginner users because of its ease. However, it cannot replace the role of teacher, class, and situation of real Muslim boarding school.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-07-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/36641
10.22146/ijitee.36641
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 1 (2018): March 2018; 1-8
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/36641/21339
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/36642
2019-01-08T03:24:41Z
ijitee:ART
Performance Improvement Using CNN for Sentiment Analysis
Nasichuddin, Moch. Ari
Adji, Teguh Bharata
Widyawan, Widyawan
CNN, Deep Learning, Sentiment Analysis
The approach using Deep Learning method provides great results in various field implementations, especially in the field of Sentiment Analysis. One of Deep Learning methods is CNN which has the ability to provide great accuracy in some previous research. However, there are some parts of the training process which can be improved to upgrade the accuracy level and the training time. In this paper, we try to improve the accuracy and processing time of sentiment analysis using CNN model. By tuning the filter size, frameworks, and pre-training, the results show that the use of smaller filter size and pre-training word2vec provide greater accuracy than some previous studies.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-07-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/36642
10.22146/ijitee.36642
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 1 (2018): March 2018; 9-14
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/36642/21340
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/36646
2019-01-08T03:24:41Z
ijitee:ART
Kalman Filter Algorithm Design for HC-SR04 Ultrasonic Sensor Data Acquisition System
Al Tahtawi, Adnan Rafi
distance sensor, signal, Kalman Filter, optimization, HC-SR04
In the control system application, the existence of noise measurement may impact on the performance degradation. The noise measurement of the sensor is produced due to several reasons, such as the low specification, external signal disturbances, and the complexity of measured state. Therefore, it should be avoided to achieve the good control performance. One of the solutions is by designing a signal filter. In this paper, the design of Kalman Filter (KF) algorithm for ultrasonic range sensor is presented. KF algorithm is designed to overcome the existence of noise measurement on the sensor. The type of ultrasonic range sensor used is HC-SR04 which is capable to detect the distance from 2 cm to 400 cm. The discrete KF algorithm is implemented using ATMega 328p microcontroller on Arduino Uno board. The algorithm is then tested with different three covariance values of process noise. The test result shows that the KF algorithm is able to reduce the measurement noise of the ultrasonic sensor. The analysis of variance conducted shows that the smaller value of covariance matrix of the process and measured noises, the better filtering process performed. However, this results in a longer generated response time. Thus, an optimization is required to obtain the best filtering performance.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-07-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/36646
10.22146/ijitee.36646
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 1 (2018): March 2018; 15-19
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/36646/21341
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/36648
2019-01-08T03:24:41Z
ijitee:ART
The Breakdown Voltage Characteristics of Bamboo Insulation under Composite Layer Based
Hakim, Lukmanul
Haryono, T.
Suharyanto, Suharyanto
insulation, bamboo, composite coating, breakdown voltage, dielectric strength
Today, insulation system involves more than one insulation material, whether serial, parallel, or both. In insulation system, the simplest form is composite which consists of two layers of the same material. The benefit of using layered insulation is that the dielectric strength is higher than one layer with the same thickness. There are two methods to test bamboo isolator, i.e., tests of the breakdown voltage of bamboo wall and bamboo fiber. The tests used two methods of composite layers (acrylic and resin) and without composite layer (normal condition). The tests were intended to observe the breakdown voltage on each incidence in each test sample and discover the dielectric strength. The test result showed that the breakdown voltage of bamboo wall was bigger than bamboo fiber with or without composite layer. The highest dielectric strengths of acrylic layer in petung bamboo wall were 2.07 kV/mm and acrylic layer in bamboo fiber was 0.95 kV/mm in layered method. Meanwhile, in ampel bamboo wall it was 1.35 kV/mm and petung bamboo fiber it was 0.43 kV/mm in normal condition (without layer).
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-07-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/36648
10.22146/ijitee.36648
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 1 (2018): March 2018; 20-24
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/36648/21342
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/36649
2019-01-08T03:24:41Z
ijitee:ART
Operation Region Selector Circuit to Obtain Maximum Efficiency of 250 W Boost Converter
Sasue, Riz Rifai O.
Firmansyah, Eka
Suharyanto, Suharyanto
Boost converter, Efficiency, LTSpice.
Interleaved boost converter gives good conversion efficiency due to its zero-current switching capability when operating in discontinuous conduction mode while keeping its input-output ripple current low. However, operating this kind of converter at interleaved operation for all the time gives poor efficiency under light-load condition. In this paper, an automatic operation region selector switch based on detection of the continuous or discontinuous current mode is proposed. With this switch, during the light-load condition, only one converter is activated, while during full-load condition both converters will be activated. The simulation results using LTspice software show that the proposed boost converter has a better efficiency compared to the conventional boost converter with efficiency range of 84.6 % to 95.32 % under various load conditions.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-07-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/36649
10.22146/ijitee.36649
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 1 (2018): March 2018; 25-30
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/36649/21343
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/40843
2019-05-23T08:06:34Z
ijitee:ART
One-Input Three-Output Current-Mode Universal Filter Using Translinear Current Conveyors
Kumngern, Montree
Universal filter; current-mode circuit; translinear current conveyor; analog circuit
This paper presents a new current-mode universal filter with one-input three-output employing three translinear current conveyors and two grounded capacitors. The proposed filter provides low-pass, band-pass, high-pass current response with high output impedance output which can be directly connected for current-mode circuit. The band-pass and all-pass filters can also be obtained. The parameters wo and Q can be controlled separately and electronically by the bias currents of current conveyors. For realizing all filtering functions, no passive and active matching conditions are required. The active and passive sensitivities are low. The characteristic of the proposed circuit can be confirmed by SPICE simulations.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-05-23
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/40843
10.22146/ijitee.40843
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 4 (2018): December 2018; 101-106
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/40843/24561
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/40875
2019-09-13T03:32:31Z
ijitee:ART
Current-Controlled Current-Mode Quadrature Oscillator Using Translinear Current Conveyors
Kumngern, Montree
all-pass section; quadrature oscillator; current-mode circuit; second gerenation current conveyor (CCII); CCCII
In this paper, a current-mode quadrature oscillator using second-generation current conveyors (CCIIs) is presented. The proposed oscillator consists of two CCIIs, two grounded capacitors and two grounded resistors. The circuit is suitable for integrated circuit implementation by using grounded capacitors. In addition, a new current-controlled current-mode quadrature oscillator using two current controlled second generation current conveyors (CCCIIs) and two grounded capacitors can be obtained by replacing CCIIs and resistors series at X terminals with CCCIIs. The condition of oscillation and frequency of oscillation can be orthogonally controlled. The frequency of oscillation can be controlled by grounded resistors and external bias currents. The proposed circuits have been simulated by SPICE simulations. The simulation results are confirmed the proposed theory.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-13
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/40875
10.22146/ijitee.40875
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 1 (2019): March 2019; 29-33
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/40875/25506
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/42149
2018-12-26T02:40:02Z
ijitee:ART
The Design of Application Architecture of the Institute of Business Based on Enterprise Architecture Planning
Morais, Muhammad Yusuf
Akbar, Habibullah
Enterprise Architecture Planning (EAP), Application Architecture, SWOT, Value Chain
Institute of Business (IOB) is committed to achieve its goals, i.e. becomes a place for economics and business as well as computer science developers, and prepare a ready-to-use Human Resources (HR), especially for Timor Leste. At present, IOB does not have an alignment between business processes and information systems owned. Therefore, this paper proposes an architectural design that bridges the alignment. The methods used to build the framework are include Enterprise Architecture Planning (EAP), SWOT, Value Chain, and Mc Farlan Grid. The built frameworks are focused on the needs of the application architecture. The resulted portfolio has 45 applications for various divisions of IOB. In addition, the SWOT analysis shows that IOB's internal and external factors are in the second quadrant. Thus, IOB's position is relatively strong, though it is facing a big challenge. The recommended strategy is the Strengths-Threats (ST) strategy that uses the company’s strength to overcome the threats. This strategy includes improving facilities, adding faculties and departments, developing academic information systems, improving the quality of learning, and improving the human resources quality.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-12-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/42149
10.22146/ijitee.42149
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 2 (2018): June 2018; 31-38
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/42149/23329
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/42152
2018-12-26T02:40:02Z
ijitee:ART
Study of Undersampling Method: Instance Hardness Threshold with Various Estimators for Hate Speech Classification
Verdikha, Naufal Azmi
Adji, Teguh Bharata
Permanasari, Adhistya Erna
Hate Speech Classification, Imbalanced Data, Instance Hardness Threshold, TF-IDF
A text classification system is needed to address the problem of hate speech in social media. However, texts of hate speech are very hard to find in social media. This will make the distribution of training data to be unbalanced (imbalanced data). Classification with imbalanced data will make a poor performance. There are several methods to solve the problem of classification with imbalanced data. One of them is undersampling with Instance Hardness Threshold (IHT) method. IHT method balances the dataset by eliminating data that are frequently misclassified. To find those data, IHT requires an estimator, which is a classifier. This research aims to compare estimators of IHT method to solve imbalanced data problem in hate speech classification using TF-IDF weighting method. This research uses the class ratio of dataset after undersampling, time of the undersampling process, and Index of Balanced Accuracy (IBA) evaluation to determine the best IHT method. The results of this research show that IHT method using the Logistic Regression (IHT(LR)) has the fastest undersampling process (1.91 s), perfectly balance dataset with the class ratio is 1:1, and has the best of IBA evaluation in all estimation process. This result makes IHT(LR) be the best method to solve the imbalanced data problem in hate speech classification.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-12-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/42152
10.22146/ijitee.42152
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 2 (2018): June 2018; 39-44
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/42152/23332
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/42154
2018-12-26T02:40:02Z
ijitee:ART
Gorontalo Medicinal Plants Image Identification System Using Artificial Neural Network with Back Propagation
Latief, Mukhlisulfatih
Yusuf, Rampi
Artificial Neural Network, back propagation, image processing
The purpose of this research is to design the application of digital image processing system to identify the image of medicinal plants of Gorontalo region using artificial neural network method using back propagation. This research used a digital image processing method with segmentation and extraction techniques. Segmentation process was carried out using thresholding method. Furthermore, a process of characteristic extraction from medicinal plants drawings was carried out using feature and color feature extractions to obtain the value of metric, eccentricity, hue, saturation and value. these five values were used as parameters for input neurons and one output neuron which denoted the class of the medicinal plants image. Data of this research consisted of 91 images which had been divided into two types, training data and test data. The training data consisted of 80 images and the test data consisted of eleven images. A network architecture was obtained from the training result and it provided the highest accuracy level (100%) and least number of iteration with a number of 50 neurons on hidden layer and 143 epochs. The testing result showed a lower accuracy of 54.54%.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-12-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/42154
10.22146/ijitee.42154
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 2 (2018): June 2018; 45-50
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/42154/23334
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/42156
2018-12-26T02:40:02Z
ijitee:ART
Prediction of Peat Forest Fires Using Wavelet and Backpropagation
Kristianti, Novera
Santoso, Albertus Joko
Pranowo, Pranowo
fire hotspots distribution, peat forest fire, wavelet orthogonal, backpropagation, Palangka Raya
One of the causes of smog as well as climate damage, particularly in Palangka Raya, Center Kalimantan, are peat forest fires. There are a lot of losses inflicted by the smog including the increasing number of people who suffer respiratory infection (ARI) due to polluted air and any other related aspects. Peat fires are problematic to overcome because the locations of fires are difficult to be accessed. This paper focuses on building the system to predict the distribution of peat forest fire hotspots by utilizing satellite imagery. In designing the system for predicting the fire hotspots distribution, wavelet orthogonal was used as the initial processing of mapping the distribution of peat forest fire hotspots. Meanwhile, backpropagation method was used to identify the fire hotspot distribution patterns of peat forest fire in this system. From the result of the data tested which had been done for predicting the peat forest fire hotspots, the decomposition image obtained using Haar wavelet had the highest percentage of accuracy to recognize the fire hotspots, which is 90%. The recency of this system was its ability to predict the peat forest fire hotspots distribution which can be used as peat forest fires prevention, especially in Palangka Raya, Central Kalimantan.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-12-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/42156
10.22146/ijitee.42156
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 2 (2018): June 2018; 51-56
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/42156/23336
Copyright (c) 2018 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/42551
2018-12-26T02:40:02Z
ijitee:ART
Role Analysis of Distributed Generation Towards Transmission Expansion Planning Using MILP
Febrian, Gessa Firman
Hadi, Sasongko Pramono
Sarjiya, Sarjiya
Transmission Line Expansion, Distributed Generation, Network Configuration, Mix Integer Linear Programming.
Electricity demand increase as function of population and economic activity growth. To meet the demand growth, one kind of approaches to expand electrical system is to calculate the need of generating unit and the result will be used to determine the needs of transmission line. In this research, a model was developed with focused on transmission line expansion based on Mix Integer Linear Programming method. The objective function was to minimize overall investment cost for transmission and operating cost of all generating units. The developed model was implemented in 6-bus Garver’s test system. Distributed generation implementation impact is also studied in this study in term of network configuration and overall expansion cost. The results show that distributed generation implementation will differ the network configuration and reduce the overall system cost, with overall system cost with and without distributed generation implementation was $106.4 million and $103.18 million respectively.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2018-12-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/42551
10.22146/ijitee.42551
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 2 (2018): June 2018; 57-62
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/42551/23508
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/42873
2019-02-20T07:07:01Z
ijitee:ART
Random Time Delay Mitigation in Pulse Radar Systems Implementation using Universal Software Radio Peripheral (USRP) and GNU Radio Companion (GRC)
Utami, Alifia Fitri
Iswandi, Iswandi
Mustika, I Wayan
Pulse radar; SDR; USRP; GRC; time delay
Abstract— Radar or radio detection and ranging has a basic function to detect and measure a target range. One of the latest developments is Software Defined Radio (SDR)-based radar. An example of SDR implementation is by using Universal Software Radio Peripheral (USRP) as hardware and GNU Radio Companion (GRC) as software. The simplest radar type is pulse radar in which system timing is crucial. Meanwhile, in pulse radar system implementation using USRP and GRC, there is an issue with the random processing time delay between communication protocol of USRP and computer running the GRC, which causes incorrect measurement. This research aims to analyze the random time delay in the pulse radar system implementation by using USRP and GRC to anticipate the effect of random time delay. Pulse radar systems implementation is administered by transmitting 128 bits of Barker code and performing correlation between transmitted and received radar signal. Research result shows that the random time delay can be anticipated by making the direct reception from radar transmitter to receiver as the reference in range calculation.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-02-26
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/42873
10.22146/ijitee.42873
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 3 (2018): September 2018; 85-90
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/42873/23889
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/43698
2019-02-20T07:07:01Z
ijitee:ART
Digitalization of Human Head Anthropometry Measurement Using Pixels Measurement Method
Pratama, Fandy Surya
Muslim, Istianah
Zul, Muhammad Ihsan
Head Anthropometry Dimension; IP Camera; Image Segmentation; Head Feature Extraction
Head Anthropometry is a part of anthropometry that needed to be measured carefully. It is because human head becomes an important part that necessary to be protected. The protection aims to look after the safety of the human head. Safety factors can be achieved by designing head products. Therefore, head anthropometry data is required to make a product design Currently, data retrieval of head anthropometry is still using several measuring devices such as anthropometers, sliding callipers, spreading callipers, and tape gauges. This measurement method makes the standard deviation become higher and also take a lot of time to capture huge amounts of anthropometry data. However, the problem has been resolved by other study research with building a head dimension measurement system using digital camera. But the system still need the integration with digital camera. This study uses the IP Camera that has been integrated with the system to capture human head from the front and side. The captured image is segmented into several areas based on head dimension. Then, the image is processed using pixel measurement method by performing feature extraction on each head dimension to get the result of head dimension measurement. The result shows that calliper measurement and system measurement against ten of fourteen human head anthropometry dimensions is identical with the best distance between IP Camera and the head as far as 200 cm. This head anthropometry data is expected to make a contribution to Indonesian Ergonomics Society.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-02-20
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/43698
10.22146/ijitee.43698
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 3 (2018): September 2018; 63-70
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/43698/23858
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/43701
2019-02-20T07:07:01Z
ijitee:ART
Gateway Redundancy Using Common Address Redundancy Protocol (CARP)
Nur, Rini
Saharuna, Zawiyah
Irmawati, Irmawati
Irawan, Irawan
Wahyuni, Reski
CARP; redundancy; gateway; failover
Gateway redundancy can ensure the network availability and reliability in providing a service. One way is to make a backup system on the gateway. This backup system can be applied to the router so that if a failure occurs on the master router its task and function can be transferred to the slave router. The transition process from master router to slave router is known as failover. Common Address Redundancy Protocol (CARP) is one of the redundancy gateway protocols and provides a failover mechanism on the router. Therefore, this study will analyse the CARP protocol implementation in ensuring the network services availability by measuring parameters of throughput, delay, retransmission, and downtime. The results showed that CARP implementation on the network produced the throughput, delay, and retransmission values of 61.7 Mbps, 0.14 ms, and 1.11% when without the link termination and 18 Mbps, 0.53 ms, and 1.58% when with link termination, while the downtime value is 2.91 seconds. The QoS test results show good quality based on ITU-T.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-02-20
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/43701
10.22146/ijitee.43701
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 3 (2018): September 2018; 71-77
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/43701/23860
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/43702
2019-02-20T07:07:01Z
ijitee:ART
Blood Transfusion Information System Design for Blood Transfusion Services Unit
Harjoseputro, Yulius
Blood Transfusion Information System; Desktop; UPTD
Information Systems Development as an information provider, both for the users and outsiders, becomes very important at this time. Through a good data management, it can minimize the need for human labor that is currently being replaced by computers. This paper will discuss a design for a blood transfusion information system because there are several issues found in the Blood Transfusion Service Unit (UPTD), some of which are donor data recording at the Blood Transfusion Service Unit which still use manual recording with a book, donors data stored in the book is not well organized, and there are blood donors who do not obey the blood donor regulation, reminder for blood donor level is 70 days and the screening result. This design can do managements which are needed when people want to donor their blood. The database in this system was designed using S-Designor, while the model design was designed using Rational Rose.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-02-20
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/43702
10.22146/ijitee.43702
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 3 (2018): September 2018; 78-84
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/43702/23861
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/43818
2019-02-20T07:07:01Z
ijitee:ART
Testing of Several Paper Types as Insulators for Electric Power Systems
Siagian, Marganda Harliman
Haryono, T
Sugiyantoro, Bambang
insulator; paper; dielectric strength; failed voltage; leakage current; temperature; humidity
Abstract— This research was based on high voltage equipment failure due to an increase in temperature and humidity on insulating materials. This can cause the power system reliability to decrease. On the other hand, paper is frequently found and used in everyday life. Paper can be categorized as a solid insulator even tough its use in the electric power system can be considered as minimum. This paper aimed to determine electrical insulation characteristics of three types of paper on market and to determine the amount of failed voltage and leakage current of test materials included with other factors such as temperature rise effect as well as humidity conditions in sample testing. The employed test samples were photo paper, duplex paper, and samson craft paper with a length of 7 cm and width of 7 cm with different thickness for each paper type. Tests were carried out with two paper conditions, i.e. paper was soaked in Shell Diala B oil and was not soaked in Shell Diala B oil, so that the significance of the oil on the paper used as an ingredient in testing could be known. The test results showed that temperature and humidity affected dielectric strength magnitude and test sample leakage current value. In addition, it was also found that test sample result impregnated with Shell Diala B had a higher dielectric magnitude compared to the unimpregnated test sample. Test samples impregnated with Shell Diala B oil had a leakage current value which tended to be smaller than the unimpregnated test sample.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-03-27
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/43818
10.22146/ijitee.43818
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 3 (2018): September 2018; 91-96
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/43818/24104
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/43842
2019-05-23T08:06:34Z
ijitee:ART
Bandwidth Upgrade in Printed Dipole Antennas Design for LTE Base Station
Prasetyo, Rahardian Luthfi
Iswandi, Iswandi
Rahayu, Eny Sukani
LTE;antenna;femtocell;printed dipole;triple-band
Abstract—In this study the research design development has been carried out by changing the radiating element field width. Radiating element field extension was administered by simulating it and trying to measure the value one by one in antenna simulator software. The radiating element widening was administered so that the resulting bandwidth could be greater. After changing the width of the field, an element radiating field length adjustment was administered to adjust the operating frequency used in Indonesia. After the design worked at the desired frequency and produced a desired bandwidth, antenna fabrication was administered and its results was tested using Mini VNA Tiny to find out the antenna value if mass produced.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-05-27
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/43842
10.22146/ijitee.43842
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 4 (2018): December 2018; 107-113
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/43842/24571
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/43846
2019-05-23T08:06:34Z
ijitee:ART
PTS and AICF Combined PAPR Reduction Techniques in Multi-Antenna OFDM Systems
Arifin, Arifin
Ditasari, Silvi Fitriah
Moegiharto, Yoedy
Anisah, Ida
Briantoro, Hendy
MIMO multiantena;PAPR;Partial Transmits Sequence;Adaptive Iterative Clipping Filtering
A high PAPR value is one of important weaknesses in OFDM systems. Several reduction techniques are applied to reduce PAPR including partial transmit sequence (PTS) as well as clipping and filtering (CF). Adaptive iterative clipping and filtering is a development of iterative clipping and filtering techniques. In this paper, a combination of Partial transmits sequence and adaptive iterative clipping filtering (PTS-AICF) techniques on multi-antenna OFDM transmitters was carried out. The simulation results showed that combined technique application had a better performance than non-combined technique (PTS), either for two or four antennas, and also for different sub block numbers. Performance was also influenced by iterations number on AICF section, the more iterations were used, the better the reduction technique performance was because it produced smaller PAPR 0 value.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-05-23
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/43846
10.22146/ijitee.43846
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 4 (2018): December 2018; 97-100
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/43846/24560
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/44926
2019-09-24T02:47:32Z
ijitee:ART
Fault Location Algorithm for HVDC Transmission Based on Synchronized Fault Time
Widiatmoko, Kristianto Adi
Wijaya, F. Danang
Tumiran, Tumiran
HVDC; Transmission; Fault Location; Traveling Wave; Double-end
To determine the fault location of the dc line fault in an HVDC transmission system, a new algorithm based on the traveling wave method and learning based method is proposed in this paper. The relationship between the traveling wave time of arrival differences with fault location is presented. The differences in traveling wave time of arrival measured at both ends of transmission line combined with associated fault locations form a fault pattern which is used to perform a simple calculation in order to determine the disturbance location. The fault current for different fault locations is simulated using the electromagnetic transient simulation software EMTDC/PSCAD. Performance of the proposed fault location algorithm is investigated using various fault location and resistance. The impact of data sampling rate also being investigated here. The simulation result shows that the proposed algorithm can reduce the sampling frequency and the number of train feature with the same accuracy.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/44926
10.22146/ijitee.44926
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 2 (2019): June 2019; 35-41
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/44926/25633
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/45538
2019-09-24T02:47:32Z
ijitee:ART
Product Recommendation System Design Using Cosine Similarity and Content-based Filtering Methods
Fiarni, Cut
Maharani, Herastia
Product Recommendation; Recommender System; Cosine Similarity; Content-Based Filtering
The wide variety of products offered by a company, combined with the consistent demands of specific products from customers, create a certain problem for the organization when they want to market a new product. Organization need information that could help them promote the most suitable product based on their customer’s characteristics. The organization also need to suggest alternative products for customer if the requested product is unavailable. In this research, we design a Recommender System that could suggest either new or alternatif products to customer based on their characteristic and transaction history. This proposed system adopts Cosine Similarity method to calculate product similarity score and Content-based Filtering to calculate customer recommendation score and used as a model for the proposed system. Subsequently, these models are used to classify customers as well as products according to their transaction behavior and consequently recommends new products more likely to be purchased by them. Based on the testing results of the proposed system, it can be concluded that the chosen methods can be utilized to recommend products and costumer of products. It is shown that Precision and Recall of product similarity scores and customer recommendation for product scores are 100% and 93.47%.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/45538
10.22146/ijitee.45538
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 2 (2019): June 2019; 42-48
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/45538/25634
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/46503
2019-09-13T03:32:30Z
ijitee:ART
Relational into Non-Relational Database Migration with Multiple-Nested Schema Methods on Academic Data
Adji, Teguh Bharata
Sari, Dwi Retno Puspita
Setiawan, Noor Akhmad
Multiple Nested Schema, Data Transformation, Data Migration, NoSQL, Big Data
The rapid development of internet technology has increased the need of data storage and processing technology application. One application is to manage academic data records at educational institutions. Along with massive growth of information, decrement in the traditional database performance is inevitable. Hence, there are many companies choose to migrate to NoSQL, a technology that is able to overcome the traditional database shortcomings. However, the existing SQL to NoSQL migration tools have not been able to represent SQL data relations in NoSQL without limiting query performance. In this paper, a relational database transformation system transforming MySQL into non-relational database MongoDB was developed, using the Multiple Nested Schema method for academic databases. The development began with a transformation scheme design. The transformation scheme was then implemented in the migration process, using PDI/Kettle. The testing was carried out on three aspects, namely query response time, data integrity, and storage requirements. The test results showed that the developed system successfully represented the relationship of SQL data in NoSQL, provided complex query performance 13.32 times faster in the migration database, basic query performance involving SQL transaction tables 28.6 times faster on migration results, and basic performance Queries without involving SQL transaction tables were 3.91 times faster in the migration source. This shows that the theory of the Multiple Nested Schema method, aiming to overcome the poor performance of queries involving many JOIN operations, is proved. In addition, the system is also proven to be able to maintain data integrity in all tested queries. The space performance test results indicated that the migrated database transformed using the Multiple Nested Schema method showed a storage requirement of 10.53 times larger than the migration source database. This is due to the large amount of data redundancy resulting from the transformation process. However, at present, storage performance is not a top priority in data processing technology, so large storage requirements are a consequence of obtaining efficient query performance, which is still considered as the first priority in data processing technology.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-13
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/46503
10.22146/ijitee.46503
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 1 (2019): March 2019; 16-22
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/46503/25504
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/46534
2019-09-13T03:32:30Z
ijitee:ART
Ontology-Based Social Media Talks Topic Classification (Twitter Case)
Deviyanti, Fransisca Julia Kusuma
Kusumawardani, Sri Suning
Santosa, Paulus Insap
Topic Classification, Twitter, Look-up Ontology
In the era of digital communication, the use of Twitter as a customer service has been widely encountered. Companies have started to develop strategies around effective use of Twitter, one of which was to identify problems that customers frequently complain about. Twitter, with its straightforward tweet characteristics, will certainly contain sentences with very specific and easily recognizable keywords. These characteristics can be used as a basis for classifying tweets into certain topics. With a help of ontology, classification with keywords can be done automatically. The purpose of this paper is to design an ontology used as a basis for classifying tweets into certain topics related to the 4G telecommunications network in Indonesia and to evaluate performance of proposed classifier model.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-13
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/46534
10.22146/ijitee.46534
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 1 (2019): March 2019; 1-6
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/46534/25502
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/46590
2019-09-13T03:32:30Z
ijitee:ART
DC Motor Speed Control Using Hybrid PID-Fuzzy with ITAE Polynomial Initiation
Wibawa, Hari
Wahyunggoro, Oyas
Cahyadi, Adha Imam
PID, Hybrid PID-Fuzzy, ITAE Polynomials, DC motors.
DC motors are widely applied in industrial sector, especiallyprocesses of automation and robotics. Given its role in the sector, DC motor operation needs to be optimized. One of optimization steps is controlling speed using several control methods, for example conventional PID methods, PID Ziegler Nichols, PID based on ITAE polynomials, and Hybrid PID-Fuzzy. From these methods, Hybrid PID-Fuzzy was chosen as a method to be proposed in this paper because it can anticipate shortcomings of PID controllers and fuzzy controllers so as to produce system responses that are fast and adaptive to errors. This paper aimed to design a Hybrid PID-Fuzzy system based on ITAE polynomials (Hybrid-ITAE), to analyze its performance parameters values, and tp compare Hybrid-ITAE performance with conventional PID method. Working parameters being reviewed include overshoot, rise time, settling time, and ITAE. First of all, JGA25-370 DC motor was modeled in a form of a third order transfer function equation. Based on the transfer function, PID parameters were calculated using PID Output Feedback and ITAE polynomial methods. The best ITAE polynomial PID controllers were then be combined with a Fuzzy Logic Controller to form a Hybrid-ITAE system. Simulation and experimental stages were carried out in two conditions, namely no load and loaded. Simulation and experimental results showed that Hybrid-ITAE (l = 0.85) was the best controller for no-load simulation conditions. For loaded simulation Hybrid-ITAE (l=1) was a better controller. In no-loads experiment, the best controller was Hybrid PID-Ziegler Nichols, while for loaded condition the best controller was Hybrid PID-Ziegler Nichols.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-13
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/46590
10.22146/ijitee.46590
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 1 (2019): March 2019; 7-15
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/46590/25503
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/46599
2019-05-23T08:06:34Z
ijitee:ART
Page Load Time Speed Increase on Disease Outbreak Investigation Information System Website
Oktrifianto, Rahmat
Adhipta, Dani
Najib, Warsun
information system, outbreak, page load time, website, site speed
Outbreaks or extraordinary events often become an issue that occurs in Indonesia. Therefore, an outbreak investigation information system is required to collect, manage and analyze data quickly and accurately. On the other hand, challenges in data accessing processes in certain locations are still constrained by a slow internet connection. This paper conducted speed increase of a page load or site speed time from disease outbreaks investigation information system website.Page load time speed testing was carried out using Google Chrome Developer Tools and using simulation speeds of 2.5 Mbps. Testing time was carried out by dividing the time into three sections, morning hours, working hours and night hours. Implementation of page load time increase includes reducing HTTP requests, utilizing GZIP compression, performing code minification, setting browser chache, using CDN, and using other enhancement techniques.The results showed that after implementing an increase in page load time by turning off cache and using cache, there was an increase in site speed. When the browser cache was turned off, an average page load time increased of 54.79% from the previous time. Whereas when using the browser cache, page load time speed increased by 55.28% from the previous time.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-10
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/46599
10.22146/ijitee.46599
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 4 (2018): December 2018; 114-119
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/46599/25500
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/46724
2019-09-13T03:32:31Z
ijitee:ART
Prototype of Student Attendance Application Based on Face Recognition Using Eigenface Algorithm
Prabowo, Tio Eko
Hartanto, Rudy
Wibirama, Sunu
Eigenface, Haar-based Cascade Classifier, Image Pre-processing, Attendance Application, Face Recognition
Prototype of face recognition based attendance application that has been developed to overcome weaknesses in DTETI UGM student manual attendance system has several weaknesses. These weaknesses are a decrease in facial recognition accuracy when operating under conditions of varying environmental light intensity and in condition of face rotating towards z axis rotation centre. In addition, application prototype also does not yet have a database to store attendance results. In this paper, a new application prototype has been developed using Eigenface face detection and recognition algorithm and Haar-based Cascade Classifier. Meanwhile, to overcome prototype performance weaknesses of the previously developed application, a pre-processing method was proposed in another study was added. Processes in the method were geometry transformation, histogram levelling separately, image smoothing using bilateral filtering, and elliptical masking. The test results showed that in the category of various environmental light intensity conditions, face recognition accuracy from developed application prototypes was 16.71% better than previous application prototypes. Meanwhile, in category of face slope conditions at z axis rotation centre, face recognition accuracy from developed application prototype was 38.47% better. Attendance database system was also successfully implemented and running without error.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-09-13
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/46724
10.22146/ijitee.46724
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 1 (2019): March 2019; 23-28
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/46724/25505
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/47430
2019-12-11T07:31:06Z
ijitee:ART
Remote Sensing Technology for Land Farm Mapping Based on NDMI, NDVI, and LST Feature
Mabrur, Ahmad Fauzi
Setiawan, Noor Akhmad
Ardiyanto, Igi
Remote Sensing; Classification; NDVI; NDMI; LST
Remote Sensing is a reliable and efficient data acquisition techniques. This technique is widely used for land image processing. This technique has many advantages, especially in terms of cost and time. In this study, the classification between dry and irrigated land from irrigation canals is presented. Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST) values obtained from satellite imagery data are used in this process. It is expected that through this method, the distribution and control of irrigation water can optimize existing agricultural potential. Ground Check (GC) is used for validation process. The results showed that the error rate based on the moon was not so large, i.e., 18%. The highest errors occur in February and March. This happens because those months are the rainy season, so the measured temperature is mostly the temperature above the cloud layer. On the other hand, the lowest error occurs in November. Also, it can be seen that this method can function optimally when detecting residential areas or highways.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-12-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/47430
10.22146/ijitee.47430
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 3 (2019): September 2019; 75-79
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/47430/26485
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/47577
2020-09-09T07:32:34Z
ijitee:ART
Improving Phoneme to Viseme Mapping for Indonesian Language
Rachman, Anung
Hidayat, Risanuri
Nugroho, Hanung Adi
Phoneme-to-Viseme Mapping; Allophones; Vowels; Formant Frequencies; Lip-Reading
The lip synchronization technology of animation can run automatically through the phoneme-to-viseme map. Since the complexity of facial muscles causes the shape of the mouth to vary greatly, phoneme-to-viseme mapping always has challenging problems. One of them is the allophone vowel problem. The resemblance makes many researchers clustering them into one class. This paper discusses the certainty of allophone vowels as a variable of the phoneme-to-viseme map. Vowel allophones pre-processing as a proposed method is carried out through formant frequency feature extraction methods and then compared by t-test to find out the significance of the difference. The results of pre-processing are then used to reference the initial data when building phoneme-to-viseme maps. This research was conducted on maps and allophones of the Indonesian language. Maps that have been built are then compared with other maps using the HMM method in the value of word correctness and accuracy. The results show that viseme mapping preceded by allophonic pre-processing makes map performance more accurate when compared to other maps.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-09
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/47577
10.22146/ijitee.47577
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 1 (2020): March 2020; 1-7
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/47577/29133
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/48110
2019-12-11T07:31:06Z
ijitee:ART
Deep Learning Methods for EEG Signals Classification of Motor Imagery in BCI
Saputra, Muhammad Fawaz
Setiawan, Noor Akhmad
Ardiyanto, Igi
Electroencephalograph; Motor Imagery; Mu; Beta; Brain Computer Interface; Deep Learning; Deep Belief Networks; Long Short Term Memory
EEG signals are obtained from an EEG device after recording the user's brain signals. EEG signals can be generated by the user after performing motor movements or imagery tasks. Motor Imagery (MI) is the task of imagining motor movements that resemble the original motor movements. Brain Computer Interface (BCI) bridges interactions between users and applications in performing tasks. Brain Computer Interface (BCI) Competition IV 2a was used in this study. A fully automated correction method of EOG artifacts in EEG recordings was applied in order to remove artifacts and Common Spatial Pattern (CSP) to get features that can distinguish motor imagery tasks. In this study, a comparative studies between two deep learning methods was explored, namely Deep Belief Network (DBN) and Long Short Term Memory (LSTM). Usability of both deep learning methods was evaluated using the BCI Competition IV-2a dataset. The experimental results of these two deep learning methods show average accuracy of 50.35% for DBN and 49.65% for LSTM.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-12-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/48110
10.22146/ijitee.48110
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 3 (2019): September 2019; 80-84
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/48110/26486
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/48257
2019-12-11T07:31:06Z
ijitee:ART
Autocorrelation Method for Cyclic Prefix OFDM Estimation
Saputri, Desti Madya
Detection; OFDM; Autocorrelation; Cyclic Prefix
A radio system design providing various data service needs becomes one of the Software Defined Radio (SDR) system advantages. SDR technology applies software functions further to be run in hardware platforms. The need for services with greater data rates can be resolved by using multi-carrier transmission techniques, one of which is the Orthogonal Frequency Division Multiplexing (OFDM) technique. This paper discusses the detection of OFDM signals and their parameters. Multi-carrier transmission can prevent Inter-Symbol Interference (ISI) occurrence due to multi-path fading effect. The recognition can classify the correctly received signals, including the signal conditions mixed with AWGN noise. The autocorrelation method was used to estimate the OFDM parameters, namely the one symbol duration and the cyclic prefix duration. The detected cyclic prefix durations were 1/2, 1/4, 1/8, and 1/16. This method is very simple, because with the cyclic prefix presence, a different signal peak will be detected to further estimate the cyclic prefix duration. The results show the correlation method performance can detect one symbol duration with 100%, accuracy, starting at SNR 0 dB, whereas the cyclic prefix duration accuracy rate is getting more accurate by using a less cyclic prefix duration, which is 1/16 of the total symbol duration.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-12-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/48257
10.22146/ijitee.48257
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 3 (2019): September 2019; 91-97
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/48257/26502
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/48436
2019-12-11T07:31:06Z
ijitee:ART
Designing a Smart Mirror as a Laboratory Information Media Using Raspberry Pi
Hardiyanto, Denny
Wicaksono, Galang
Pramudyo, Anggoro S
Fahrizal, Rian
Wiryadinata, Romi
Smart Mirror; Raspberry Pi; PIR Sensor; DC Fan; Smart Home
Development of microprocessor technology provides new ideas for creating smart devices, one of which is in the field of smart home. Smart home is a concept of a home integrated with a smart system and supported by technology that enables all work to be more effective and efficient. Mirror is a household device that is beneficial to humans. In this paper, a research on smart mirrors is explained. A smart mirror is a mirror integrated with an intelligent system so that it can display multimedia data originating from the internet using Raspberry as a computing tool, PIR sensor as a tool to control monitors, and DC fans as a tool to control temperature system. In this paper, the mirror was able to display information about time, weather, academic calendar, lab work schedules, prayer schedules, and academic news. A PIR sensor has a good accuracy when the device is placed at 180 cm above the ground and the distance between mirror and humans when mirroring is 70 cm. A DC fan was utilized to stabilize the system temperature in a range of 40 to 50 oC.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-12-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/48436
10.22146/ijitee.48436
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 3 (2019): September 2019; 85-90
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/48436/26501
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/48545
2019-12-11T07:31:05Z
ijitee:ART
Khmer Treebank Construction via Interactive Tree Visualization
Kann, Bonpagna
Chay-intr, Thodsaporn
Kaing, Hour
Theeramunkong, Thanaruk
Treebank Construction; Grammar Construction; Visualization Tool; Syntactic Parsing
Despite the fact that there are a number of researches working on Khmer Language in the field of Natural Language Processing along with some resources regarding words segmentation and POS Tagging, we still lack of high-level resources regarding syntax, Treebanks and grammars, for example. This paper illustrates the semi-automatic framework of constructing Khmer Treebank and the extraction of the Khmer grammar rules from a set of sentences taken from the Khmer grammar books. Initially, these sentences will be manually annotated and processed to generate a number of grammar rules with their probabilities once the Treebank is obtained. In our experiments, the annotated trees and the extracted grammar rules are analyzed in both quantitative and qualitative way. Finally, the results will be evaluated in three evaluation processes including Self-Consistency, 5-Fold Cross-Validation, Leave-One-Out Cross-Validation along with the three validation methods such as Precision, Recall, F1-Measure. According to the result of the three validations, Self-Consistency has shown the best result with more than 92%, followed by the Leave-One-Out Cross-Validation and 5-Fold Cross Validation with the average of 88% and 75% respectively. On the other hand, the crossing bracket data shows that Leave-One-Out Cross Validation holds the highest average with 96% while the other two are 85% and 89%, respectively.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-12-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/48545
10.22146/ijitee.48545
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 3 (2019): September 2019; 67-74
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/48545/26484
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/49422
2019-05-23T08:06:34Z
ijitee:ART
Ant Colony Optimization for Resolving Unit Commitment Issues by Considering Reliability Constraints
Afifi, Alan Abdu Robbi
Sarjiya, Sarjiya
Wijoyo, Yusuf Susilo
Generator scheduling; Nodal Ant Colony Optimization; Reliability Constraints
Unit Commitment or generator scheduling is one of complex combination issues aiming to obtain the cheapest generating power total costs. Ant Colony Optimization is proposed as a method to solve Unit Commitment issues because it has a better result convergence according to one of journals that reviews methods to solve Unit Commitment issues. Ant Colony Optimization modification into Nodal Ant Colony Optimization as well as addition of several elements are also conducted to overcome Ant Colony Optimization limitations in resolving Unit Commitment issues. Nodal Ant Colony Optimization simulations are then compared with Genetic Algorithm and Simulated Annealing methods which previously has similar simulations. Reliability index combination in a form of Loss of Load Probability and Expected Unserved Energy are also added as reliability constraints in the system. Comparison of three methods shows that Nodal Ant Colony Optimization is able to provide better results up to 0.08% cheaper than Genetic Algorithm or Simulated Annealing methods.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-11-11
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/49422
10.22146/ijitee.49422
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 2, No 4 (2018): December 2018; 120-124
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/49422/26080
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/49424
2019-09-24T02:47:32Z
ijitee:ART
Management Information System of the Billing Subsystem: A Prototype Design
Setianingsih, Farida
Permanasari, Adhistya Erna
Najib, Warsun
Billing; Transactions; Documentation; Prototypes; Management Information Systems
Abstract— Prof. Soeparwi Veterinary Hospital is one of veterinary medical service providers in Yogyakarta ad Central Java areas in which the transaction and the documentation managing process is still done manually. Therefore, Prof. Soeparwi VH needs a management information system that facilitate them in managing process and documentation of transactions, one of which is through billing or billing subsystem. This subsystem was designed using UML and was developed in a form of web-based prototype using PHP and HTML languages as well as CSS with CodeIgniter framework and MySQL for database. The development of this billing subsystem applied a Rapid Application Development (RAD) model process that focused on the working model and obtained feedback from users to improve the system. Results of this system's development were evaluated with a system feasibility test and functionality test. A system feasibility test was administered by distributing Likert scale questionnaire and analysed them based on a summated rating scale method which showed a result of 85.4%. That result indicates that users strongly agree that the system has met their needs. The system functionality was tested using a black box method and the result was that the system properly functioned. This billing subsystem could process transaction bills automatically included in the calculation. This system produced bills and reports that could be printed and exported. In addition, data was stored in a database so that it supported paperless documentation.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-10-29
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/49424
10.22146/ijitee.49424
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 2 (2019): June 2019; 49-54
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/49424/26084
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/49426
2019-09-24T02:47:32Z
ijitee:ART
Real-Time Indonesian Language Speech Recognition with MFCC Algorithms and Python-Based SVM
Mustikarini, Wening
Hidayat, Risanuri
Bejo, Agus
Automatic Speech Recognition; Indonesian Language; MFCC; SVM
Abstract — Automatic Speech Recognition (ASR) is a technology that uses machines to process and recognize human voice. One way to increase recognition rate is to use a model of language you want to recognize. In this paper, a speech recognition application is introduced to recognize words "atas" (up), "bawah" (down), "kanan" (right), and "kiri" (left). This research used 400 samples of speech data, 75 samples from each word for training data and 25 samples for each word for test data. This speech recognition system was designed using Mel Frequency Cepstral Coefficient (MFCC) as many as 13 coefficients as features and Support Vector Machine (SVM) as identifiers. The system was tested with linear kernels and RBF, various cost values, and three sample sizes (n = 25, 75, 50). The best average accuracy value was obtained from SVM using linear kernels, a cost value of 100 and a data set consisted of 75 samples from each class. During the training phase, the system showed a f1-score (trade-off value between precision and recall) of 80% for the word "atas", 86% for the word "bawah", 81% for the word "kanan", and 100% for the word "kiri". Whereas by using 25 new samples per class for system testing phase, the f1-score was 76% for the "atas" class, 54% for the "bawah" class, 44% for the "kanan" class, and 100% for the "kiri" class.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-10-29
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/49426
10.22146/ijitee.49426
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 2 (2019): June 2019; 55-60
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/49426/26086
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/49964
2019-09-24T02:47:32Z
ijitee:ART
Adaptive Traffic Light Control Based on Actual Condition Using Google Map API
Arkanuddin, Adi Sabwa Isti Besari
Sulistyo, Selo
Persada, Anugerah Galang
Traffic Lights; Adaptive; Google Map API; Green Light Time Duration; Density
Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2019-11-20
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/49964
10.22146/ijitee.49964
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 2 (2019): June 2019; 61-66
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/49964/26328
Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/50866
2020-03-24T12:35:33Z
ijitee:ART
Design and Comparative Study Among Antennas of GCS for Telemetry Communication System of UAV
Iswandi, Iswandi
Suryamanggala, Aria Rangga
Wicaksono, Dewanto
Rahayu, Eny Sukani
Antenna; Biquad; Double Biquad; Ground Control Systems; Telemetry Systems; UAV; Yagi-Uda
Recently, Unmanned Aerial Vehicle (UAV) becomes a popular and interesting technology for researchers and academics because it has high potential to be implemented in various fields. The UAV operation is managed by a Ground Control Station (GCS) on which requires a communication system to send control signals and acquire data collected by sensors on UAV. The longer the UAV's flying distance needs a higher transmission power budget that can be achieved by increasing transmitter power, increasing receiver sensitivity, or increasing antenna gain. However, the design of communications systems on a flying platform is limited by the following constraints. The transmitter, receiver, and antenna must be compact, lightweight, and energy-efficient to save battery on the vehicle. Although the antenna does not directly influence the energy consumption from the battery, an increase in antenna gain usually requires an increase of the antenna dimension that causes higher weight and or reduces the aerodynamics. Therefore, the most efficient way to increase the link budget is by modifying the antenna on the GCS. This paper describes the analysis of antennas commonly used in GCSs for UAV communication links, namely the Yagi-Uda, bi-quad, and double bi-quad antennas. The antenna is designed to work at a frequency of 433.5 MHz following the transceiver device used. The antenna designs are numerically simulated then fabricated for evaluating their performance. The testing is done on the following issues, i.e. the antenna's basic parameters measurement, the ground-to-ground transmission test, and the ground to air transmission test. The test results show that the double bi-quad gives better performance than the other two other testing antennas.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
Universitas Gadjah mada
2020-03-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/50866
10.22146/ijitee.50866
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 4 (2019): Desember 2019; 99-105
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/50866/27024
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/50933
2020-03-24T12:35:33Z
ijitee:ART
Characterization of Electromagnetic Wave Absorbers with Broadside SRR Method on C-Band
Prawito, Dwi Banyu
Mulyadi, Rasheed Abdurrahman
Syihabuddin, Budi
Nur, Levy Olivia
Electromagnetic Wave Absorbers; SRR; Broadside SRR; C-Band
Electromagnetic wave absorber is a material that can reduce the energy available in electromagnetic waves. Electromagnetic wave absorber can be used to reduce interference in wireless communication devices so as not to quickly suffer damage, as a layer in the room free of reflection and to reduce radar cross section of an object detected in radar tracking applications. In this paper, a discussion about the use of the broadside form using the Split Ring Resonator (SRR) method as an absorber of electromagnetic waves and its characteristics in C-Band. Broadside shape is obtained from the initial form of a square which is developed into a square resonator and then given a gap at the end of the resonator. The results show that the SRR broadside form can be used as an absorbent of electromagnetic waves on the C-Band, precisely the frequency of 6.41 GHz with absorption rates reaching 99.99% and bandwidth of 0.077 GHz with dimensions of 7 mm. From the experimental results, it can also be seen that the change in the gap length variable in the SRR broadside shape is the most influential in changing the resonant frequency value and the amount of bandwidth produced.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-03-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/50933
10.22146/ijitee.50933
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 4 (2019): Desember 2019; 106-111
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/50933/27025
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/51192
2020-03-24T12:35:33Z
ijitee:ART
LQR Tuning Using AIS for Frequency Oscillation Damping
Abdillah, Muhammad
Nugroho, Teguh Aryo
Setiadi, Herlambang
Governor; LQR; LFC; AIS
Commonly, primary control, i.e. governor, in the generation unit had been employed to stabilize the change of frequency due to the change of electrical load during system operation. But, the drawback of the primary control was it could not return the frequency to its nominal value when the disturbance was occurred. Thus, the aim of the primary control was only stabilizing the frequency to reach its new value after there were load changes. Therefore, the LQR control is employed as a supplementary control called Load Frequency Control (LFC) to restore and keep the frequency on its nominal value after load changes occurred on the power system grid. However, since the LQR control parameters were commonly adjusted based on classical or Trial-Error Method (TEM), it was incapable of obtaining good dynamic performance for a wide range of operating conditions and various load change scenarios. To overcome this problem, this paper proposed an Artificial Immune System (AIS) via clonal selection to automatically adjust the weighting matrices, Q and R, of LQR related to various system operating conditions changes. The efficacy of the proposed control scheme was tested on a two-area power system network. The obtained simulation results have shown that the proposed method could reduce the settling time and the overshoot of frequency oscillation, which is better than conventional LQR optimal control and without LQR optimal control.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-03-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/51192
10.22146/ijitee.51192
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 4 (2019): Desember 2019; 112-119
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/51192/27026
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/51203
2020-03-24T12:35:33Z
ijitee:ART
Design of Quadrotor UAV and Internet-of-Things Based Air Pollution Monitoring Systems
Al Tahtawi, Adnan Rafi
Andika, Erick
Yusuf, Maulana
Harjanto, Wildan Nurfauzan
Air Pollution; Quadrotor, IoT, ThingSpeak
Air pollution is one of problems causing global warming that is currently taking a place. Several air quality monitoring devices usually located at the city center are only limited to display data at one point. Therefore, a mobile device to monitor air quality is needed so as to enable the monitoring in several points. This paper aims to design an air quality monitoring system based on quadrotor Unmanned Aerial Vehicle (UAV) and Internet-of-Things (IoT) technology. The sensor system is designed to detect CO, CO2, air quality, and temperature variables. This sensor systems was then integrated with quadrotor in order to make the monitoring process can be carried out at various points. Quadrotor was designed using Ardupilot Mega (APM) 2.6 as the flight controler. Measurement data from system sensor was transmitted wirelessly using internet network via Wi-Fi module. Based on the test results, the sensor system was able to detect concentration of several test gas and was linear to the output voltage. Quadrotor orientation parameters at takeoff produced transient responses in less than 1 second. The air pollution sensor parameter data could also be displayed every 10 seconds on the ThingSpeak and ThingView interfaces, and could be mapped based on the data retrieval coordinates.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-03-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/51203
10.22146/ijitee.51203
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 4 (2019): Desember 2019; 120-127
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/51203/27027
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/53512
2020-09-16T04:17:37Z
ijitee:ART
Design of Web-Based Cashier and Spare Part Warehouse Application Display (Case Study at Surya Motor Shop)
Permana Putra, Muhammad Esa
Adji, Teguh Bharata
Permanasari, Adhistya Erna
Cashier and Warehouse Information Systems; User Experience; The Elements of User Experience; User Experience Questionnaire
A cashier and spare parts warehouse application is an information system facilitating financial reporting and items inventory systems. This has become a necessity in almost all fields of large and small-scale businesses in every country. The information system that belongs to Surya Motor Shop does not have a display that can facilitate users in operating the company's financial and transaction systems in accordance with company needs. This information system uses Bootstrap with HTML, CSS, and Javascript programming languages. In this paper, an interactive display was developed, so as to be able to accommodate web users' responses, by developing a prototype using Bootstrap at the Surya Motor Shop. This was carried out to digitize the transaction system, making it easier to report the items inventory and financial reporting of the company. The prototype development was developed using the The Elements of User Experience method, a user-centered design process. After developing the prototype, a test was carried out to determine the quality of the user experience. The test employed the User Experience Questionnaire (UEQ) method. UEQ testing shown that the prototype interface developed had a positive level of user experience. Compared with the benchmarks set by UEQ, the test results were above the mean benchmark, except for the pull factor which was still below the benchmark average.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-12-29
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/53512
10.22146/ijitee.53512
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 2 (2020): June 2020; 60-65
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/53512/30232
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/54427
2020-03-24T12:35:33Z
ijitee:ART
A Multi Criteria Decision Making to Support Major Selection of Senior High School
Permanasari, Adhistya Erna
Wisaksono, Marsetyo
Kusumawardani, Sri Suning
Major Selection; Hybrid MCDM; Experimental Design; Senior High School
Senior high school students need to select a specialization, such as Mathematics and Natural Sciences, Social Sciences, or Language and Culture. This selection process can be improved by using Multi Criteria Decision Making (MCDM) methods. When MCDM methods are implemented, AHP method has accuracy of 61%, whereas AHP-Fuzzy TOPSIS 1 and AHP-Fuzzy TOPSIS 2 have accuracy of 75%. This research implements tests and analyzes new MCDM method, which is Hybrid MCDM Model, in helping aforementioned specialization selection process. There are four basic steps in Hybrid MCDM Model: performing experimental design to obtain attributes' weight and criteria, evaluating MCDM with the three existing methods, performing RSM regression to derive mathematical model, and decision making. This research introduces data normalization to the mathematical model which results in better implementation of Hybrid MCDM Model in the senior high school students' specialization selection process. Hybrid MCDM Model in the senior high school student specialization selection has accuracy of 86%, which includes 11% accuracy improvements compared to other applied MCDM methods.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-05-08
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/54427
10.22146/ijitee.54427
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 3, No 4 (2019): Desember 2019; 128-132
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/54427/27613
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/55491
2020-09-16T04:17:37Z
ijitee:ART
Applying Integrating Testing of Microservices in Airline Ticketing System
Ma'ruf, Dearisma Arfinda
Sulistyo, Selo
Nugroho, Lukito Edi
Microservices; Unit Testing; Integrity Testing; End-to-End Testing
Microservices have been applied on several major systems including airlines. The characteristics of microservices which are independent and also interconnected need to be tested. The testing is done to preserve the system’s sequential stage processes, especially the online ticket reservation. Four features which are the search, booking, payment, and booking info feature are tested. This research performed three stages of testing on the microservices, those are unit testing, integrity testing, and end-to-end testing. Unit testing was conducted to test every function on every nodule, integrity testing was done to test interconnection between microservices, and end-to-end testing was to test the final results obtained after the unit test and integrity test were carried out. The three stages of testing must be done sequentially. The system on the airline provides the valid or correct response. Three stages of testing can be applied on other airlines by obtaining a legal API and can be accessed publicly.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-16
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/55491
10.22146/ijitee.55491
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 2 (2020): June 2020; 39-46
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/55491/29210
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/55807
2020-09-16T04:17:37Z
ijitee:ART
The Effect of Parasitic Rings and Ground Plane on Helix Strip Antenna
Setiawan, Muchammad Rofiq Fajar
Utomo, Aryo Baskoro
Helix Strip Antenna; Parasitic Ring; Ground Plane; Gain
Strip helix antennas offer better performance at wide bandwidth and more compact in size than conventional helix antennas. However, strip helix antennas have a relatively low gain compared to conventional helix antennas. In this paper, a strip helix antenna with 2.4 GHz frequency was designed, simulated, fabricated, and measured. This strip helix antenna was added with several parasitic rings, and its ground plane size was reduced to increase the gain value and its performance. The best simulation results according to the desired parameters were with return loss < -10 dB of -10.366 dB, VSWR < 2 of 1.8702, and directional radiation pattern of 66.5° beamwidth angle. However, the gain did not match with the desired parameters > 12 dB with the result of 8.9612 dB. Measured results showed that the helix strip antenna has a return loss of -10.37 dB and VSWR of 1.870. The parasitic rings addition can increase the strip helix antenna gain of 0.0201 dB and improves performances of return loss, VSWR, and bandwidth. Despite that, the ground plane size reduction actually decreases the gain value.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-16
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/55807
10.22146/ijitee.55807
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 2 (2020): June 2020; 47-52
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/55807/29211
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/55811
2020-09-16T04:17:37Z
ijitee:ART
Asymmetric-Slit Method on WiFi Antenna with 2.4 GHz and 5 GHz Frequency
Goran, Petrus Kerowe
Nugraha, Eka Setia
Wireless Fidelity; Microstrip; Square Patch; Slit
Wireless Fidelity (WiFi) devices are often used to access the internet network, both for working and in information searching. Accessing the internet can be administered anywhere provided that the area is within the WiFi devices range. A WiFi device uses 2.4 GHz and 5 GHz operating frequencies. There were several methods employed in the previous studies so that an antenna design could work in two different frequencies, i.e., winding bowtie method, Sierpinski method, and double-circular method. This paper employed a simple method, the slit method. The objective of this paper is to discover a simple antenna model that works on 2.4 GHz and 5 GHz frequencies. This paper employed a square patch microstrip antenna with a slit method. The dimensions of the designed square patch microstrip antenna were 42.03 mm × 27.13 mm × 0.035 mm. The antenna worked at 2.4 GHz and 5 GHz frequencies. The obtained simulation results after the optimization showed that the square patch microstrip antenna using the slit method acquired a value of S11 (return loss) of -10.15 dB at a frequency of 2.4 GHz and -37.315 dB at a frequency of 5 GHz.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-16
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/55811
10.22146/ijitee.55811
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 2 (2020): June 2020; 53-59
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/55811/29212
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/56153
2020-09-09T07:32:34Z
ijitee:ART
LNA Prototype at 54 MHz to 88 MHz Using Discrete Components
Nugroho, Prapto
Izetbegovic, Ivan Muhammad Ihsan
Dewanto, Wahyu
Low-Noise Amplifier; LNA; WRAN
This paper presents a design and prototyping of a Low-Noise Amplifier (LNA) for Wireless Regional Area Network (WRAN) operating in TV broadcast bands between 54 MHz – 88 MHz. The LNA design was then implemented by using discrete components. Components values was obtained by utilized DC analysis according to specifications which follows the Institute of Electrical and Electronics Engineering (IEEE) 802.22 standard on WRAN technical specifications. Simulation with 88 MHz produced S11 = -5.72 dB, S12 = -41.57 dB, S21 = 15.07 dB, S22 = -4.76 dB, Noise Figure (NF) = 3.9 dB, Input Third Order Intercept Point (IIP3) = 2.21 dBm, and power consumption of 45.39 mW. Experiments results on 88 MHz showed S11 = -6.13 dB and S21 = 0.74 dB.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-09
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/56153
10.22146/ijitee.56153
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 1 (2020): March 2020; 32-38
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/56153/29140
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/56154
2020-09-16T04:17:37Z
ijitee:ART
Development of Bot Detection Applications on Twitter Social Media Using Machine Learning with a Random Forest Classifier Algorithm
Zahra, Aqilah Aini
Widyawan, Widyawan
Fauziati, Silmi
Bot Detection; Multiclass Classification; Machine Learning; Supervised Learning; Twitter
A Twitter bot is a Twitter account programmed to automatically do social activities by sending tweets through a scheduling program. Some bots intend to disseminate useful information such as earthquake and weather information. However, not a few bots have a negative influence, such as broadcasting false news, spam, or become a follower to increase an account's popularity. It can change public sentiments about an issue, decrease user confidence, or even change the social order. Therefore, an application is needed to distinguish between a bot and non-bot accounts. Based on these problems, this paper develops bot detection systems using machine learning for multiclass classification. These classes include human classes, informative, spammers, and fake followers. The model training used guided methods based on labeled training data. First, a dataset of 2,333 accounts was pre-processed to obtain 28 feature sets for classification. This feature set came from analysis of user profiles, temporal analysis, and analysis of tweets with numeric values. Afterward, the data was partitioned, normalized with scaling, and a random forest classifier algorithm was implemented on the data. After that, the features were reselected into 17 feature sets to obtain the highest accuracy achieved by the model. In the evaluation stage, bot detection models generated an accuracy of 96.79%, 97% precision, 96% recall, and an f-1 score of 96%. Therefore, the detection model was classified as having high accuracy. The bot detection model that had been completed was then implemented on the website and deployed to the cloud. In the end, this machine learning-based web application could be accessed and used by the public to detect Twitter bots.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-12-29
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/56154
10.22146/ijitee.56154
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 2 (2020): June 2020; 66-73
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/56154/30233
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/56343
2020-09-09T07:32:34Z
ijitee:ART
A Microstrip Antenna Design Using an Heuristic Algorithm
Wiryawan, I Made Adhi
Wahyuningtyas, Maria Veronica Astrid
Persada, Anugerah Galang
Ariananda, Dyonisius Dony
Microstrip Antenna; Particle Swarm Optimization Algorithm; Heuristic Algorithm; Objective Function
Microstrip antennas have several advantages. Some of them are that they have a compact shape and small dimensions. Moreover, they are also easy to be fabricated and easily connected as well as integrated with other electronic devices. Currently, designing antennas conventionally is limited by time, energy, and experience as well as expertise. As an alternative, a way to design antennas with revolutionary methods is developed using algorithms and computing. Algorithm design techniques can overcome limitations and automatically find practical solutions that usually take a long time to discover. The particle swarm optimization algorithm and a genetic algorithm can find solutions from microstrip antennas. Objective functions play an essential role in heuristic algorithms. With a proper objective function, simulation results are obtained on the particle swarm optimization algorithm with a return loss value of -47.837, VSWR of 1.0083, and impedance of 46.805 Ω. In contrast, the genetic algorithm obtains return loss of -16.157 dB, impedance of 50.233 Ω, and VSWR of 1.3687.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-09
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/56343
10.22146/ijitee.56343
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 1 (2020): March 2020; 25-31
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/56343/29138
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/56344
2020-09-09T07:32:34Z
ijitee:ART
A High-Frequency Surface Wave Radar Simulation Using FMCW Technique for Ship Detection
Jati, Ahmad Nugroho
Haqqoni, Ahmad Fauzi
Iswandi, Iswandi
Hidayat, Risanuri
Fast Fourier Transform; FMCW; Doppler Frequency; HFSWR; Radar
Indonesia is an archipelagic country with a vast sea area. This vast sea area becomes a challenge in conducting regional surveillance to maintain maritime conditions. The use of buoys and satellites still has shortcomings in carrying out surveillance despite its excellent surveillance capabilities. A high-frequency radar technology with 3-30 MHz frequency and surface wave propagation are very suitable because it has a radar range that can cross the horizon or commonly refer to as Over the Horizon (OTH). The Frequency Modulated Continuous Wave (FMCW) technique on this radar obtains distance and velocity information by a continuously transmitted frequency modulation. The use of radar in Indonesia for marine surveillance is still infrequent. Therefore, it is relatively difficult to conduct testing and obtain data. In addition, the direct examination requires extended time, so a simulation program is needed. This paper discusses the design of a High-Frequency Surface Wave Radar (HFSWR) simulation program using FMCW modulation technique. The simulation program detected two objects based on time delays due to the distance and velocity of the object with a maximum range of 350 km. It displayed the results in an informative manner. The object detection was based on the results of the Fast Fourier Transform (FFT) from the mixed signals. The mixed signal is a combination of transmitted signal and reflected signal in which there are time delay components due to the object. The simulation program had been tested with input values of distance and velocity that vary, both for one object and two objects, in the radial direction. It generated output that was close to the input value with a level of accuracy of ± 2 km.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2020-09-09
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/56344
10.22146/ijitee.56344
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 1 (2020): March 2020; 19-24
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/56344/29136
Copyright (c) 2020 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/56919
2020-09-09T07:32:34Z
ijitee:ART
Applying Machine Learning for Improving Performance Classification on Driving Behavior
Fadli, Ahmad Iwan
Sulistyo, Selo
Wibowo, Sigit
Cellular phone sensor data, Machine Learning Algorithms, Driving Behavior.
Traffic accident is a very difficult problem to handle on a large scale in a country. Indonesia is one of the most populated, developing countries that use vehicles for daily activities as its main transportation. It is also the country with the largest number of car users in Southeast Asia, so driving safety needs to be considered. Using machine learning classification method to determine whether a driver is driving safely or not can help reduce the risk of driving accidents. We created a detection system to classify whether the driver is driving safely or unsafely using trip sensor data, which include Gyroscope, Acceleration, and GPS. The classification methods used in this study are Random Forest (RF) classification algorithm, Support Vector Machine (SVM), and Multilayer Perceptron (MLP) by improving data preprocessing using feature extraction and oversampling methods. This study shows that RF has the best performance with 98% accuracy, 98% precision, and 97% sensitivity using the proposed preprocessing stages compared to SVM or MLP.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-06-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/56919
10.22146/ijitee.56919
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 1 (2020): March 2020; 8-18
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/56919/31527
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/58593
2021-08-06T07:50:57Z
ijitee:ART
SMIMO Radar: MIMO Radar with Subarray Elements of Phased-Array Antenna
Tahcfulloh, Syahfrizal
Angular Resolution;MIMO Radar;Number of Detectable Targets;Phased-array;Subarray;Target Detection;Virtual Array
Unlike Phased-MIMO Radar (PMIMO) which employs overlapping equal subarrays (OES) only on the transmit (Tx), Subarray-MIMO (SMIMO) radar utilizes the combination of subarrays, both in the transmit (Tx) and receive (Rx). SMIMO radar is MIMO radar with subarray elements acting as Phased-Array (PA). It simultaneously combines the primary advantages of PA and the MIMO radar; they are high directional gain and high diversity gain, respectively. High directional gain is beneficial to improve the range target, while high diversity gain is beneficial to improve the number of target detection. The use of the subarray methods in the Tx-Rx array could be configured such as in verlapping subarray (OS), non-overlapping subarray (NOS), equal subarray (ES), unequal subarray (US), and/or the combination of all configurations. Various configurations in Tr-Rx would determine the performance of radar, such as the number of virtual arrays, the maximum number of target detections, the detection accuracies, and the angular resolutions along with its effectivity compared to PA, MIMO, and Phased-MIMO radar. Numerical results and simulation showed that SMIMO provided higher flexibility than other radars by configuring Tx-Rx to easily adapt to various changes of target conditions and their surroundings.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
-
2021-07-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/58593
10.22146/ijitee.58593
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 2 (2021): June 2021; 37-44
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/58593/31760
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/58693
2021-12-24T06:51:47Z
ijitee:ART
Product Recommendation Based on Eye Tracking Data Using Fixation Duration
Sari, Juni Nurma
Nugroho, Lukito Edi
Santosa, Paulus Insap
Ferdiana, Ridi
E-commerce;Consumer Interest in the Product;Product Purchase Prediction;Eye Tracking;Product Recommendations
E-commerce can be used to increase companies or sellers’ profits. For consumers, e-commerce can help them shop faster. The weakness of e-commerce is that there is too much product information presented in the catalog which in turn makes consumers confused. The solution is by providing product recommendations. As the development of sensor technology, eye tracker can capture user attention when shopping. The user attention was used as data of consumer interest in the product in the form of fixation duration following the Bojko taxonomy. The fixation duration data was processed into product purchase prediction data to know consumers’ desire to buy the products by using Chandon method. Both data could be used as variables to make product recommendations based on eye tracking data. The implementation of the product recommendations based on eye tracking data was an eye tracking experiment at selvahouse.com which sells hijab and women modest wear. The result was a list of products that have similarities to other products. The product recommendation method used was item-to-item collaborative filtering. The novelty of this research is the use of eye tracking data, namely the fixation duration and product purchase prediction data as variables for product recommendations. Product recommendation that produced by eye tracking data can be solution of product recommendation’s problems, namely sparsity and cold start.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/58693
10.22146/ijitee.58693
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 109-116
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/58693/32879
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/59193
2021-08-27T04:05:56Z
ijitee:ART
A Review of Feature Selection and Classification Approaches for Heart Disease Prediction
Firdaus, Fathania Firwan
Nugroho, Hanung Adi
Soesanti, Indah
Feature Selection;Classification;Heart Disease
Cardiovascular disease has been the number one illness to cause death in the world for years. As information technology develops, many researchers have conducted studies on a computer-assisted diagnosis for heart disease. Predicting heart disease using a computer-assisted system can reduce time and costs. Feature selection can be used to choose the most relevant variables for heart disease. It includes filter, wrapper, embedded, and hybrid. The filter method excels in computation speed. The wrapper and embedded methods consider feature dependencies and interact with classifiers. The hybrid method takes advantage of several methods. Classification is a data mining technique to predict heart disease. It includes traditional machine learning, ensemble learning, hybrid, and deep learning. Traditional machine learning uses a specific algorithm. The ensemble learning combines the predictions of multiple classifiers to improve the performance of a single classifier. The hybrid approach combines some techniques and takes advantage of each method. Deep learning does not require a predetermined feature engineering. This research provides an overview of feature selection and classification methods for the prediction of heart disease in the last ten years. Thus, it can be used as a reference in choosing a method for heart disease prediction for future research.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-06-18
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/59193
10.22146/ijitee.59193
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 4, No 3 (2020): September 2020 (in progress); 75-82
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/59193/31478
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/60295
2021-06-18T11:29:13Z
ijitee:ART
ECG Signal Classification Review
Fikri, Muhammad Rausan
Soesanti, Indah
Nugroho, Hanung Adi
Electrocardiogram;Neural Network;Deep Learning;Classification Algorithm;Signal Processing
The heart is an important part of the human body, functioning to pump blood through the circulatory system. Heartbeats generate a signal called an ECG signal. ECG signals or electrocardiogram signals are basic raw signals to identify and classify heart function based on heart rate. Its main task is to analyze each signal in the heart, whether normal or abnormal. This paper discusses some of the classification methods which most frequently used to classify ECG signals. These methods include pre-processing, feature extraction, and classification methods such as MLP, K-NN, SVM, CNN, and RNN. There were two stages of ECG classification, the feature extraction stage and the classification stage. Before ECG features were extracted, raw ECG signal data first processed in the pre-processing stage because ECG signals were not necessarily free of noise. Noise will cause a decrease in accuracy during the classification process. After features were extracted, ECG signals were then classified with the classification method. Neural Network methods such as CNN and RNN are best to use since they can give better accuracy. For further research, the machine learning method needs to be improved to get high accuracy and high precision in the ECG signals classification.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-06-18
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/60295
10.22146/ijitee.60295
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 1 (2021): March 2021; 15-20
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/60295/31492
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/61201
2021-06-18T11:29:13Z
ijitee:ART
Modified Usability Test Scenario: User Story Approach to Evaluate Data Visualization Dashboard
Kadir, Nurul Tiara
Hartanto, Rudy
Sulistyo, Selo
Usability Test;Dashboard Interface;Data Visualization;User Story
The data processing results are commonly displayed in a dashboard with various graphic visualization forms to deliver new knowledge easier to understand by users. However, many data analysis dashboards cannot communicate the knowledge effectively and efficiently given the unsuitable design implementation. Therefore, research to measure the interface display's effectiveness in the data analysis system is deemed necessary. This research proposed a scenario modification in the usability test with a user story approach to measuring the system interface display in delivering the information to users. The approach of a usability test with the user story is expected to be capable of helping the researcher in understanding the user habits indirectly. There were 20 participants to validate the proposed method. Participants were asked to use the system and answer several questions to develop their user experience. After developing user experience for each user, the System Usability Scale (SUS) was conducted. SUS score results obtained from this research was 75.25. Besides, the researcher also measured the understanding level among the users using questionnaires. The questionnaire results were converted into numbers and resulted in a mean value of 91.8. Those two values indicate the users' ability to use the system well and obtain the new knowledge displayed in the data analysis dashboard.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-06-18
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/61201
10.22146/ijitee.61201
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 1 (2021): March 2021; 1-8
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/61201/31487
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/61201/14085
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/61827
2021-06-18T11:29:13Z
ijitee:ART
A Review on Face Anti-Spoofing
Perdana, Rizky Naufal
Ardiyanto, Igi
Nugroho, Hanung Adi
Image Processing;Biometric System;Face Spoof
The biometric system is a security technology that uses information based on a living person's characteristics to verify or recognize the identity, such as facial recognition. Face recognition has numerous applications in the real world, such as access control and surveillance. But face recognition has a security issue of spoofing. A face anti-spoofing, a task to prevent fake authorization by breaching the face recognition systems using a photo, video, mask, or a different substitute for an authorized person's face, is used to overcome this challenge. There is also increasing research of new datasets by providing new types of attack or diversity to reach a better generalization. This paper review of the recent development includes a general understanding of face spoofing, anti-spoofing methods, and the latest development to solve the problem against various spoof types.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-06-18
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/61827
10.22146/ijitee.61827
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 1 (2021): March 2021; 29-35
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/61827/31494
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/62344
2021-06-18T11:29:13Z
ijitee:ART
Serendipity Identification Using Distance-Based Approach
Hartanto, Widhi
Setiawan, Noor Akhmad
Adji, Teguh Bharata
Serendipity;Collaborative Filtering;K-Means
The recommendation system is a method for helping consumers to find products that fit their preferences. However, recommendations that are merely based on user preference are no longer satisfactory. Consumers expect recommendations that are novel, unexpected, and relevant. It requires the development of a serendipity recommendation system that matches the serendipity data character. However, there are still debates among researchers about the available common definition of serendipity. Therefore, our study proposes a work to identify serendipity data's character by directly using serendipity data ground truth from the famous Movielens dataset. The serendipity data identification is based on a distance-based approach using collaborative filtering and k-means clustering algorithms. Collaborative filtering is used to calculate the similarity value between data, while k-means is used to cluster the collaborative filtering data. The resulting clusters are used to determine the position of the serendipity cluster. The result of this study shows that the average distance between the recommended movie cluster and the serendipity movie cluster is 0.85 units, which is neither the closest cluster nor the farthest cluster from the recommended movie cluster.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
The Ministry of Communication and Information Technology master degree scholarship program
2021-06-18
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/62344
10.22146/ijitee.62344
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 1 (2021): March 2021; 9-14
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/62344/31491
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/62663
2021-06-18T11:29:13Z
ijitee:ART
Image Analysis for MRI-Based Brain Tumor Classification Using Deep Learning
Qodri, Krisna Nuresa
Soesanti, Indah
Nugroho, Hanung Adi
Tumor;Brain Tumors;Magnetic Resonance Image (MRI);Accuracy;Deep Learning;Transfer Learning;VGG16;ResNet50
Tumors are cells that grow abnormally and uncontrollably, whereas brain tumors are abnormally growing cells growing in or near the brain. It is estimated that 23,890 adults (13,590 males and 10,300 females) in the United States and 3,540 children under the age of 15 would be diagnosed with a brain tumor. Meanwhile, there are over 250 cases in Indonesia of patients afflicted with brain tumors, both adults and infants. The doctor or medical personnel usually conducted a radiological test that commonly performed using magnetic resonance image (MRI) to identify the brain tumor. From several studies, each researcher claims that the results of their proposed method can detect brain tumors with high accuracy; however, there are still flaws in their methods. This paper will discuss the classification of MRI-based brain tumors using deep learning and transfer learning. Transfer learning allows for various domains, functions, and distributions used in training and research. This research used a public dataset. The dataset comprises 253 images, divided into 98 tumor-free brain images and 155 tumor images. Residual Network (ResNet), Neural Architecture Search Network (NASNet), Xception, DenseNet, and Visual Geometry Group (VGG) are the techniques that will use in this paper. The results got to show that the ResNet50 model gets 96% for the accuracy, and VGG16 gets 96% for the accuracy. The results obtained indicate that transfer learning can handle medical images.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-06-18
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/62663
10.22146/ijitee.62663
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 1 (2021): March 2021; 21-28
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/62663/31493
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/63471
2021-08-06T07:50:57Z
ijitee:ART
Bidirectional Battery Interface in Standalone Solar PV System for Electrification in Rural Areas
Purnomo, Yuwono Bimo
Wijaya, F. Danang
Firmansyah, Eka
Bidirectional DC Converter;Standalone PV;Battery;Power Management;Inverter
In a standalone photovoltaic (PV) system, a bidirectional DC converter (BDC) is needed to prevent the battery from damage caused by DC bus voltage variation. In this paper, BDC was applied in a standalone solar PV system to interface the battery with a DC bus in a standalone PV system. Therefore, its bidirectional power capability was focused on improving save battery operation while maintaining high power quality delivery. A non-isolated, buck and boost topology for the BDC configuration was used to interface the battery with the DC bus. PID controller-based control strategy was chosen for easy implementation, high reliability, and high dynamic performance. A simulation was conducted using MATLAB Simulink program. The simulation results show that the implementation of the BDC controller can maintain the DC bus voltage to 100 V, have high efficiency at 99.18% in boost mode and 99.48% in buck mode. To prevent the battery from overcharging condition, the BDC stops the charging process and then works as a voltage regulator to maintain the DC bus voltage at reference value.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-08-06
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/63471
10.22146/ijitee.63471
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 2 (2021): June 2021; 59-67
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/63471/31886
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/63515
2021-12-24T06:51:47Z
ijitee:ART
Eye Blink Classification for Assisting Disability to Communicate Using Bagging and Boosting
Ardi, Luthfi
Setiawan, Noor Akhmad
Wibirama, Sunu
Brain-Computer Interface (BCI);Electroencephalograph (EEG);Eye Blinks;Disability
Disability is a physical or mental impairment. People with disability have more barriers to do certain activity than those without disability. Moreover, several conditions make them having difficulty to communicate with other people. Currently, researchers have helped people with disabilities by developing brain-computer interface (BCI) technology, which uses artifact on electroencephalograph (EEG) as a communication tool using blinks. Research on eye blinks has only focused on the threshold and peak amplitude, while the difference in how many blinks can be detected using peak amplitude has not been the focus yet. This study used primary data taken using a Muse headband on 15 subjects. This data was used as a dataset classified using bagging (random forest) and boosting (XGBoost) methods with python; 80% of the data was allocated for learning and 20% was for testing. The classified data was divided into ten times of testing, which were then averaged. The number of eye blinks’ classification results showed that the accuracy value using random forest was 77.55%, and the accuracy result with the XGBoost method was 90.39%. The result suggests that the experimental model is successful and can be used as a reference for making applications that help people to communicate by differentiating the number of eye blinks. This research focused on developing the number of eye blinks. However, in this study, only three blinking were used so that further research could increase these number.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/63515
10.22146/ijitee.63515
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 117-123
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/63515/32886
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/63515/15220
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/63772
2021-08-06T07:50:57Z
ijitee:ART
Dimmable High Power LED Driver Using Fuzzy Logic Controller
Rochman, Rizky Fatur
Prasetyono, Eka
Eviningsih, Rachma Prilian
LED;Flyback Converter;Fuzzy Logic Controller (FLC);Driver LED
The use of lighting loads is one of the crucial matters which increases every year. The increasing use then leads to the development of brighter and longer-lasting sources. In addition, the conventional use of lighting loads today, which only emit light at its maximum intensity, does not allow the consumers to adjust the brightness level as needed. Consequently, this condition may cause energy wastage. The LED lighting system is gaining popularity as it is widely used in a wide range of applications. The advantages of LEDs, such as its compact size and varied lamp colors, replace conventional lighting sources. The linear setting of the driver topology using the flyback converter was aimed to control the LEDs with a constant current in order to adjust the variation of the LED light intensity. The closed-loop driver circuit with flyback converter topology was designed as an LED driver with a given load specification from the LED string. A dimmable feature was included for adjusting the intensity of the light produced by the LEDs. Eventually, the fuzzy logic controller (FLC) method was applied to the integrated change setting to obtain a dynamic response.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-08-06
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/63772
10.22146/ijitee.63772
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 2 (2021): June 2021; 45-51
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/63772/31884
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/63772/15368
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/64511
2021-09-30T02:14:58Z
ijitee:ART
Kalman Filter to Improve Performance of PID Control Systems on DC Motors
Yuliawan, Seta
Wahyunggoro, Oyas
Setiawan, Nurman
Kalman Filter;PID;Noise;DC Motors
A proportional–integral–derivative (PID) controller is a type of control system that is most widely applied in industrial world. Various tuning models have been developed to obtain optimal performance in PID control. However, the methods are designed under ideal circumstances. This means that the control system which has been built will not work optimally when noise exists. Noise can come from electrical vibrations, inference of electronic components, or other noise sources. Thus, it is necessary to design PID control system that can work optimally without being disturbed by noise. In this research, Kalman filter was used to improve the performance of PID controllers. The application of Kalman filter was used to reduce the noise of the input signal so that it could generate output signal which is in accordance with the expected output. Simulation result showed that the PID performance with Kalman filter was more optimal than the ordinary one to minimize the existing noise. The resulting speed of DC motor with Kalman filter had a lower overshoot than PID control without Kalman filter. This method resulted lower integral of absolute error (IAE) than ordinary PID controls. The IAE value for the PID controller with the Kalman filter was 25.4, the PID controller with the observer was 31.0, while the IAE value in the ordinary controller was only 60.9.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-09-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/64511
10.22146/ijitee.64511
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 3 (2021): September 2021; 96-102
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/64511/32205
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/65670
2021-08-06T07:50:57Z
ijitee:ART
Analysis of Information Technology Security Management UKSW SIASAT Using ISO/IEC 27001:2013
Tanaamah, Andeka Rocky
Indira, Friska Juliana
Information Technology;Information System;Information Security Management;ISO/IEC 27001:2013
IT security management is essential for organizations to notice the occurring risks and opportunities because they will profoundly affect the ongoing business processes within the organization. The Satya Wacana Academic Information System, more often called SIASAT, is an IT component playing an essential role in running core business processes at Satya Wacana Christian University under the control of the Information Systems and Technology Bureau. At this time, the implementation of SIASAT has been going well, but there are still some obstacles. Lack of human resources is one of the findings and one it becomes of the most significant risks as it affects the use of infrastructure and information security. This research was conducted using the international standard ISO/IEC 27001:2013, prioritizing information security by taking a planning clause focusing on risk assessment. From the results of this study, there were nine recommendations given. Some of which were the most important, i.e., creating separated standard operating procedure documents for SIASAT, which previously were still affiliated with the Academic Administration Bureau; distributing job descriptions; and providing clear and documented access rights for everyone. It is expected that this research can reduce the occurring risks and can be considered for establishing improvements to enhance academic services in the future.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-08-06
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/65670
10.22146/ijitee.65670
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 2 (2021): June 2021; 68-74
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/65670/31887
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/65670/17086
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/65695
2021-08-06T07:50:57Z
ijitee:ART
Ultra-Wideband Microstrip Bandpass Filter and Its Equivalent Circuit
Nurjihan, Shita Fitria
Rafsyam, Yenniwarti
Defected Ground Structure;Bandpass Filter;Microstrip;Equivalent Circuit
Microstrip filters can be designed with various methods to obtain good performances, such as defected ground structure, open-ended slot, planar edge coupled, and split ring resonator with groundplane windowing. In this paper, the design of an ultra-wideband microstrip bandpass filter used the defected ground structure (DGS) method by adding a circular slot to the groundplane. The addition of the circular slot was carried out to improve the value of S parameter (return loss and insertion loss) from the initial filter design without a circular slot. In the simulation process, optimization was carried out by changing the value of filter component parameters such as patch length and thickness and circular slot width. The simulation results showed that the microstrip bandpass filter could pass frequencies in the range of 1.4 GHz to 5.7 GHz with the bandwidth response of 4.3 GHz. In addition, filter analysis could also be done with an equivalent circuit represented by lumped element components in the form of capacitors and inductors connected in series or parallel. The simulation results of the equivalent circuit had a wider bandwidth, which was able to pass frequencies in the range of 1.2 GHz to 6.1 GHz with a bandwidth response of 4.9 GHz.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-08-06
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/65695
10.22146/ijitee.65695
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 2 (2021): June 2021; 52-58
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/65695/31885
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/65695/17085
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/66307
2021-09-30T02:14:57Z
ijitee:ART
Improving Data Quality and Data Governance Using Master Data Management: A Review
Hikmawati, Sanny
Santosa, Paulus Insap
Hidayah, Indriana
MDM;Master Data;Data Quality;Data Governance
Master data management (MDM) is a method of maintaining, integrating, and harmonizing master data to ensure consistent system information. The primary function of MDM is to control master data to keep it consistent, accurate, current, relevant, and contextual to meet different business needs across applications and divisions. MDM also affects data governance, which is related to establishing organizational actors’ roles, functions, and responsibilities in maintaining data quality. Poor management of master data can lead to inaccurate and incomplete data, leading to lousy stakeholder decision-making. This article is a literature review that aims to determine how MDM improves the data quality and data governance and assess the success of MDM implementation. The review results show that MDM can overcome data quality problems through the MDM process caused by data originating from various scattered sources. MDM encourages organizations to improve data management by adjusting the roles and responsibilities of business actors and information technology (IT) staff documented through data governance. Assessment of the success of MDM implementation can be carried out by organizations to improve data quality and data governance by following the existing framework.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-09-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/66307
10.22146/ijitee.66307
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 3 (2021): September 2021; 90-95
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/66307/32204
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/66307/17180
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/67120
2021-12-24T06:51:47Z
ijitee:ART
Piezoelectric Energy Harvester for IoT Sensor Devices
Apriyanto, Noor Pratama
Firmansyah, Eka
Putranto, Lesnanto Multa
Wireless Sensor Network;Internet of Things;Energy Harvesting;Piezoelectric
Limited battery power is a major challenge for wireless sensor network (WSN) in internet of things (IoT) applications, especially in hard-to-reach places that require periodic battery replacement. The energy harvesting application is intended as an alternative to maintain network lifetime by utilizing environmental energy. The proposed method utilized piezoelectricity to convert vibration or pressure energy into electrical energy through a modular piezoelectric energy harvesting design used to supply energy to sensor nodes in WSN. The module design consisted of several piezoelectric elements, of which each had a different character in generating energy. A bridge diode was connected to each element to reduce the feedback effect of other elements when pressure was exerted. The energy produced by the piezoelectric is an impulse so that the capacitor was used to quickly store the energy. The proposed module produced 7.436 μJ for each step and 297.4 μJ of total energy with pressure of a 45 kg load 40 times with specific experiments installed under each step. The energy could supply WSN nodes in IoT application with a simple energy harvesting system. This paper presents a procedure for measuring the energy harvested from a commonly available piezoelectric buzzer. The specific configurations of the piezoelectric and the experiment setups will be explained. Therefore, the output energy characteristics will be understood. In the end, the potentially harvested energy can be estimated. Therefore, the configuration of IoT WSN could be planned.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
Eka Firmansyah, Gadjah Mada University
Gadjah Mada University, Department of Electrical and Information Engineering
2021-12-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/67120
10.22146/ijitee.67120
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 124-129
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/67120/32882
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/67467
2021-09-30T02:14:57Z
ijitee:ART
Topic Modeling in the News Document on Sustainable Development Goals
Fitri, Hidayatul
Widyawan, Widyawan
Soesanti, Indah
Topic Modeling;LDA;SDGs;News;Media Online
Indonesia is a developing country and supports the program of the Sustainable Development Goals (SDGs) which consist of 17 goals. SDGs is not only the government’s duty, but a shared duty from any elements. Online media has a crucial role in implementing goals of Indonesia’s SDG. Information published in online news related to the SDGs is an important consideration for the government, society, and all elements. Categorizing news manually to find out news topics is very time-consuming and done by the ability of news editors. News presented by online media on the news site can be used as topic modeling, where hidden topics can be found in the news on online media. Topic modeling will classify data based on a particular topic and determine the relationship between text. Latent Dirichlet allocation (LDA) is one of the methods on topic modeling to find out the trend of topics of SDGs news. Based on the result of this research, the implementation of LDA is the right choice for finding topics in a document. The result of topic modeling with k = 17 obtained the highest coherence score of 0.5405 on topic 8. Topic 8 discussed news related to the eighth SDGs goals, namely decent work and economic growth. This categorization was based on words formed after the LDA process. Then, topic 5 discussed the news on the 17th SDGs goals, namely partnerships for the goals. Topic 6 discussed the news of the first SDGs, namely no poverty.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-09-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/67467
10.22146/ijitee.67467
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 3 (2021): September 2021; 82-89
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/67467/32203
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/67467/17380
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/67553
2021-09-30T02:14:56Z
ijitee:ART
User Curiosity Factor in Determining Serendipity of Recommender System
Nugroho, Arseto Satriyo
Ardiyanto, Igi
Adji, Teguh Bharata
Recommender System;Serendipity;Relevance;Novelty;Unexpectedness;Evaluation Metrics;Curiosity
Recommender rystem (RS) is created to solve the problem by recommending some items among a huge selection of items that will be useful for the e-commerce users. RS prevents the users from being flooded by information that is irrelevant for them.Unlike information retrieval (IR) systems, the RS system's goal is to present information to the users that is accurate and preferably useful to them. Too much focus on accuracy in RS may lead to an overspecialization problem, which will decrease its effectiveness. Therefore, the trend in RS research is focusing beyond accuracy methods, such as serendipity. Serendipity can be described as an unexpected discovery that is useful. Since the concept of a recommendation system is still evolving today, formalizing the definition of serendipity in a recommendation system is very challenging.One known subjective factor of serendipity is curiosity. While some researchers already addressed curiosity factor, it is found that the relationships between various serendipity component as perceived by the users and their curiosity levels is still yet to be researched. In this paper, the method to determine user curiosity model by considering the variation of rated items was presented, then relation to serendipity components using existing user feedback data was validated. The finding showed that the curiosity model was related to some user-perceived values of serendipity, but not all. Moreover, it also had positive effect on broadening the user preference.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-09-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/67553
10.22146/ijitee.67553
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 3 (2021): September 2021; 75-81
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/67553/32201
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/67553/17438
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/68757
2021-09-30T02:14:59Z
ijitee:ART
The Evaluation of AR Mobile App as a Learning Media for Children
Permanasari, Adhistya Erna
Hidayah, Indriana
Priyowibowo, Faizal M.
Hidayat, M. Arifin
Prayoga, Fachrul Budi
Sakkinah, Intan Sulistyaningrum
Augmented Reality;Learning Media;Fun Toolkit;Usability;User Experience
A user evaluation stage is an integral part of designing an application. A practical evaluation can provide an overview of the problems that arise in the application and improve the user experience. The Kupuku application is an augmented reality (AR)-based game application for learning about butterflies. The Kupuku application is specifically intended for children aged 6-13 years. The user sample was selected using a purposive sampling method with the criteria for users of elementary school-age children for the child user segment and their companions as the adult user segment. This study aims to evaluate the usability of the Kupuku game application to users. User evaluation was carried out to measure the application’s usability. The evaluation process was conducted on two user segments, namely 20 child users and 16 adult users. Assessment of children employed the Fun Toolkit and usability factor-based question - Nielsen method. The obtained results showed positive feedbacks. In contrast, the assessment for adult users utilized the system usability scale (SUS) and the user experience questionnaire (UEQ). The SUS score of 76 was included in the good category, and the UEQ score produced an excellent average. The test results indicate that this application can be accepted by users, both children, and adults.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-09-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/68757
10.22146/ijitee.68757
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 3 (2021): September 2021; 103-108
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/68757/32206
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/69894
2021-12-24T06:51:47Z
ijitee:ART
Determining the Citizen Loyalty Factor of COVID-19 Website Using the Trust Model
Nour, Azty Acbarrifha
Nugroho, Lukito Edi
Santosa, Paulus Insap
E-Government Services;Loyalty;Trust;Citizen Satisfaction;Services Quality.
One of the information technology (IT) utilization by the government is the establishment of an official website for public access, designed to disseminate information about the COVID-19. Gaining public trust in the information dissemination is getting harder due to the amount of information, while the government is striving to provide reliable information. The service quality provided on the official website will affect the public’s trust and desire to use these services. Citizen loyalty is known when people intensively use the government electronic services because they believe in the government and its e-services based on perceived satisfaction and service quality. This research studied the effect of service quality, trust, and user satisfaction on user loyalty when using e-services by the Special Region of Yogyakarta (DIY) government. The study used a trust model developed by Alkraiji and Ameen and applied it to the official COVID-19 website. Data were collected from 100 respondents in the DIY who were in the productive age range. The experiment was carried out using explanatory and inferential techniques with multiple linear regression methods. The results of the study indicate that all model hypotheses are accepted. The relationship between antecedents and citizen loyalty was more influenced by trust in government and e-government. This finding explains why Yogyakarta citizen trust the government and its electronic services and will be loyal to use these services during the COVID-19 pandemic, as well as other facilities in the future.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/69894
10.22146/ijitee.69894
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 145-151
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/69894/34210
Copyright (c) 2022 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/70144
2021-12-24T06:51:47Z
ijitee:ART
Factors Affecting Collaboration Portal Effectiveness of the Audit Board of Indonesia
Syahputra, Afrialdi
Santosa, Paulus Insap
Hartanto, Rudy
Collaboration Portal;BPK;Effectiveness;DeLone and McLean
The Audit Board of the Republic of Indonesia is known as Badan Pemeriksa Keuangan (BPK). In carrying out its duties and functions, it empowers and relies on information technology (IT) infrastructure that covers all aspects, including planning, procurement, service provision, information asset security, service continuity, and evaluation. BPK implements a collaboration portal to meet service needs and teamwork during the audit process, ad-hoc committees, and leader instructions to follow BPK’s strategic plan. BPK needs to assess the effect of the collaboration portal in supporting employee performance and improving IT services. As a result, this study aims to investigate the factors that influence the effectiveness of the BPK collaboration portal. This study used Delone and McLean model of information system success by looking at the relationship of system quality, information quality, service quality, facilitating conditions, and collaboration quality to user satisfaction and individual job performance. The research method used a quantitative approach with partial least squares-structural equation modeling (PLS-SEM). The sample data was collected from 60 respondents at BPK. The data obtained from the respondents were processed using the SmartPLS application. The study results show that information quality, facilitating conditions, and collaboration quality positively and significantly affect user satisfaction. There is a positive and significant influence of user satisfaction on individual job performance. In addition, system quality and service quality do not significantly influence user satisfaction with collaboration portal services.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/70144
10.22146/ijitee.70144
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 137-144
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/70144/32884
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/70161
2021-12-24T06:51:47Z
ijitee:ART
Optimal Capacity and Location Wind Turbine to Minimize Power Losses Using NSGA-II
Ningtias, Dieta Wahyu Asry
Wijaya, F. Danang
Multanto, Lesnanto Putra
Wind Turbine;Non-Dominated Genetic Algorithm II;Power Loss;Voltage Deviation;Levelized Cost of Energy
Voltage deviations and power losses in the distribution network can be handled in various ways, such as adding diesel power plants and wind turbines. Adaut Village, Tanimbar Islands Regency, Maluku Province has installed a diesel power plant with a capacity of 1,200 kW, while the average hourly electricity load is 374.9 kW. Adaut Village has high wind potential that can be used for distributed generations namely wind turbine (WT). WT can be used to improve power quality in terms of power losses and voltage deviations. In adding WT, the capacity and location must be determined to get good power quality in terms of power loss and voltage deviation. The research applied an optimization technique for determining the capacity and location of WT using non-dominated sorting genetic algorithm II (NSGAII) with an objective function of power losses and voltage deviation. In addition, the economic aspects of the power plant were calculated using the levelized cost of energy (LCOE). The research used scenarios based on the number of WT installed. The best results were obtained in scenario IV or 4 WT with 1.38 kW on Bus 2, 422.43 kW on Bus 15, 834.33 kW on Bus 30, and 380.81 kW on Bus 31 which could reduce power losses by 80% with an LCOE value of Rp7,113.15/kWh. The addition of the WT could also increase the voltage profile to close to 1 pu, which means it can minimize the voltage deviation in the distribution network.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/70161
10.22146/ijitee.70161
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 130-136
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/70161/32883
Copyright (c) 2021 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/70431
2021-12-24T06:51:47Z
ijitee:ART
Load Flow Allocation to Improve the Fairness of MW-Mile Method
Syaatnuartoro, M. Bagas
Pramono Hadi, Sasongko
Sarjiya, Sarjiya
Susilo Wijoyo, Yusuf
Power Wheeling;MW-Mile;Load Flow Allocation;Tracing;Genetic Algorithm.
In a deregulated power system, an appropriate wheeling cost is required to provide valuable economic information to market participants, such as generation and transmission companies. The load flow method is used in power wheeling to determine the condition of the existing system after the wheeling participant is added to the system. In the load flow method, it can be seen how much power is generated from a generator. However, the power flow method cannot determine wheeling generator allocation to the power flow in each transmission network. For this reason, power tracing will be used to determine the wheeling generator allocation. Power tracing is also a solution that could improve the fairness of determining wheeling costs. This paper discusses the power tracing method to determine load flow allocation for wheeling generators using the genetic algorithm (GA) method. GA is one of the optimization techniques, where in power tracing with GA, the load flow allocations (LFA) problem will be assumed as an optimization problem. Calculation with tracing and without tracing will be compared to demonstrate the benefits of the proposed technique. Experimental results showed that the MW-mile method with LFA yielded more expensive wheeling costs than the conventional method. The cost is more expensive due to the absence of cost reduction as in the conventional MW-mile method, and wheeling users pay wheeling costs based on the transmission usage. Although wheeling costs are high, the LFA method provides a fair price because wheeling users pay a fee based on the actual usage. In the future, another power tracing may be used to help determine wheeling costs.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/70431
10.22146/ijitee.70431
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 166-172
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/70431/34543
https://jurnal.ugm.ac.id/ijitee/article/downloadSuppFile/70431/19070
Copyright (c) 2022 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/70449
2021-12-24T06:51:47Z
ijitee:ART
Performance of MPSO-MPPT on PV-Based DC Microgrid in Partial Shading Conditions
Humaidi, Haneef Nouval Alannibras
Setyonegoro, Mokhammad Isnaeni Bambang
Sarjiya, Sarjiya
DC Microgrid;MPPT;P&O;MPSO;Partial Shading
Microgrid is a controllable decentralized group of energy resources and loads with the ability to operate both in grid-connected or island modes. Photovoltaic (PV) is one of the sources that are commonly used in microgrid. PV has a good ability to convert solar irradiation into electrical energy, especially under ideal condition, namely uniform irradiation or non-shading condition. However, PV often has some problems when facing partial shading condition. In this condition, PV does not produce optimal power because it stucks at the local maximum power point (MPP), thus it unables to track the global MPP. For this reason, it is necessary to implement a smart maximum power point tracker (MPPT) that can solve this problem. Furthermore, MPPT will be implemented in pulse width modulation (PWM) to control the buck converter. This study is focused on designing a laboratory scaled microgrid system with PV sources and controlled by modified particle swarm optimization (MPSO)-based MPPT. The 360 Wp PV array used consisted of two strings of three series modules Solarex MSX-60. The performance of the proposed method was compared with perturb and observe (P&O)-based MPPT, which was the commonly used method on MPPT. Furthermore, it was found that P&O and MPSO performed relatively similar accuracy (with difference of 0.04%) in non-shading condition. However, in partial shading condition, MPSO could perform better by producing greater output power so that it delivers better accuracy (98.74% to 99.11%) compared to P&O (57.95% to 71.87%). However, MPSO required a slightly longer time to converge because it had more complicated method and more computational load.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/70449
10.22146/ijitee.70449
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 152-158
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/70449/34248
Copyright (c) 2022 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0
oai:jurnal.ugm.ac.id:article/70684
2021-12-24T06:51:47Z
ijitee:ART
Comparison of Electrical Conductivity Prediction Models Using Gaussian Process
Utomo, Zaenuri Putro
Hidayah, Indriana
Nur Rizal, Muhammad
Prediction;Electrical Conductivity;Water Quality;Groundwater.
People living in coastal areas use clean water sourced from groundwater to support the household, agricultural, and industrial needs. However, human activities and natural factors can lead to a common problem in coastal areas, namely seawater intrusion. Seawater intrusion can be detected using water quality data. Today, one of the challenges in water resources management is the prediction of water quality parameters such as total dissolved solids (TDS), electrical conductivity (EC), and water turbidity. Incomplete EC data and limitations of direct measurements can affect the analysis. Machine learning models are known to provide the most accurate predictions. This research used EC parameter data to investigate the performance of algorithms, namely artificial neural networks (ANN), Gaussian processes (GP), and multiple regression (MLR). The prediction used seven hydrochemical parameters (K, Ca, Mg, Na, SO4, Cl, HCO3) and three physical parameters of groundwater (TDS, pH, EC). Performance measurement used R-squared (R2) and root mean squared error (RMSE). The testing showed the MLR model had R2 of 0.985 and RMSE of 0.030, which were slightly better than other models. Hence, it can be concluded that the MLR model can be a solution to difficult problems of EC prediction and incomplete data in the water resources management.
Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM
2021-12-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://jurnal.ugm.ac.id/ijitee/article/view/70684
10.22146/ijitee.70684
IJITEE (International Journal of Information Technology and Electrical Engineering); Vol 5, No 4 (2021): December 2021; 159-165
2550-0554
eng
https://jurnal.ugm.ac.id/ijitee/article/view/70684/34542
Copyright (c) 2022 IJITEE (International Journal of Information Technology and Electrical Engineering)
http://creativecommons.org/licenses/by-nc-nd/4.0