DSS for "E-Private" Using a Combination of AHP and SAW Methods

https://doi.org/10.22146/ijccs.46625

Ni Komang Yanti Suartini(1*), I Made Agus Wirawan(2), Dewa Gede Hendra Divayana(3)

(1) Informatics Education Study Program, Informatics Department, FTK, Undiksha, Singaraja, Bali
(2) Informatics Education Study Program, Informatics Department, FTK, Undiksha, Singaraja, Bali
(3) Informatics Education Study Program, Informatics Department, FTK, Undiksha, Singaraja, Bali
(*) Corresponding Author

Abstract


Private tutoring was non-formal education and it was needed to help student in learning.There were already tutoring system developed where the selection of private tutors was done by filtering peocess. However, filtering process was not suitable with needs and desires of students.Besides the filtering process, to support the solution in making decisions on the selection of private tutors on the E-Privat system it also used the Decision Suport System (DSS) concept, namely a combination of AHP and SAW methods. AHP method was used to find the weights in each criterion, and the ranking calculation with the SAW method.E-Privat aimed to help parents / students in choosing private tutors that suit the needs and desires of students by involving multi-criteria and various alternative. This system was also developed to help private tutors to get the opportunity to fill out private lessons.  The testing process results showed that the system had been successful and suitable for used. There were 5 testing processes : (1)black box testing, (2)white box testing, (3)accuracy test which showed a percentage of 87%, and (4)user's response test whichused the SUS method showed a percentage 92.08% with best imaginable category.


Keywords


Decision Support System; AHP and SAW Methods; E-Privat;Waterfall Model

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References

[1] Astradanta, M., Wirawan, I. M. A., & Arthana, I. K. R. (2016). Pengembangan Sistem Penunjang Keputusan Pemilihan Tempat Kuliner dengan Menggunakan Metode AHP dan SAW (Studi Kasus : Kecamatan Buleleng). Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika(KARMAPATI), 5(2), 1–11 [Online]. Available: https://ejournal.undiksha.ac.id/index.php/KP/article/viewFile/8205/5473. [Accessed: 28-Nov-2018]

[2] Bernadifta, E. Y., Eliantara, F., Dwi K, F., & Sulistiowati, F. (2016). Sistem Pendukung Keputusan Penerimaan Pegawai Menggunakan Metode Analitycal Hierarchy Process (AHP) dan Simple Additive Weighting (SAW). PTIIK-UB, 2(1), 1–7.

[3] Indra Herman Firdaus, Gunawan Abdillah, F. R. (2016). Sistem Pendukung Keputusan Penentuan Karyawan Terbaik Menggunakan Metode AHP dan Topsis. Seminar Nasional Teknologi Informasi Dan Komuniikasi 2016 (SENTIKA 2016), 2(3), 440–445 [Online]. Available: https://fti.uajy.ac.id/sentika/publikasi/makalah/2016/82.pdf. [Accessed: 28-Nov-2018]

[4] Kusrini. (2007). Konsep dan Aplikasi Sistem Pendukung Keputusan. Yogyakarta: Andi.

[5] Nardiono. (2017). Komparasi Metode Simple Additive Weighting ( SAW ) dan Metode Weighted Product ( WP ) dalam Menentukan Karyawan Terbaik ( Studi Kasus : Pt . Matrixnet Global Indonesia ). Jurnal Informatika Universitas Pamulang, 2(1), 25–33 [Online]. Available: openjournal.unpam.ac.id/index.php/informatika/article/view/1502. [Accessed: 28-Nov-2018]

[6] Nofriansyah, D. (2014). Konsep Data Mining vs Sistem Pendukung Keputusan. Yogyakarta: Deepublish.

[7] Pratiwi, H. (2018). Sistem Pendukung Keputusan. Yogyakarta: Deepublish.

[8] S R Pressman, B. R. M. (2015). Software Engineering - A Practitioner’s Approach - Eigth Edition. USA: Mc. Graw Hill Education.

[9] Sari, F. (2018). Metode dalam Pengambilan Keputusan. Yogyakarta: Deepublish.

[10] Sunarti. (2018). Perbandingan Metode TOPSIS dan SAW untuk Pemilihan Rumah Tinggal. Journal of Information System, 3(1), 69–79 [Online]. Available: publikasi.dinus.ac.id/index.php/joins/article/download/1883/1289. [Accessed: 28-Nov-2018]

[11] Suratmi. (2016). Analisa Perbandingan Metode Weighted Product (WP) dan Metode Analytical Hierarchy Process (AHP) untuk Menentukan Penerima Bonus pada Karyawan PT.Telesindo Shop. Jurnal Infotek, 1(3), 142–150 [Online]. Available: https://journal.unnes.ac.id/nju/index.php/sji/article/view/18050. [Accessed: 28-Nov-2018]

[12] Syafrianto, A. (2017). Penerapan Algoritma AHP dan SAW dalam Pemilihan Penginapan di Yogyakarta. Jurnal Ilmiah Data Manajemen Dan Teknologi Informasi (Dasi), 17(4), 7–12.

[13] Tridhonanto. (2010). Meraih Sukses dengan Kecerdasan Emosional. Jakarta: Gramedia.

[14] Tsabit Rahman dkk. (2017). Analisis Model Pengambil Keputusan AHP dan TOPSIS Untuk memilih Software Berbasis Open Source Digital Library pada Universitas Janabadra. Seminar Nasional Inovasi Teknologi UN PGRI Kediri, 22 Februari 2017, 1(2), 441–450.

[15] Yasa, G. S. (2014). Bimbingan Belajar. Yogyakarta: Graha Ilmu.



DOI: https://doi.org/10.22146/ijccs.46625

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