Identification of Student Area of Interest using Fuzzy Multi-Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) Methods (Case Study: Information System Major, Universitas Pembangunan Nasional "Veteran" Yogyakarta)

Vynska Amalia Permadi, Riza Prapascatama Agusdin, Sylvert Prian Tahalea, Wilis Kaswidjanti

Abstract


Identifying the area of interest is a must for every student in each study program before choosing the elective courses. Ideally, a student chooses their area of interest by considering the scores of all courses that they have been completed. Nevertheless, they do not thoughtfully choose their interest since they may follow what their friends' are. Decide to choose the wrong area of interest may result in difficulty while completing their education. This research aims to help students' academic supervisors guide their students by implementing a decision support system to help students and academic supervisors determine their area of interest. Decision support systems in this research are built through two stages: observation, decision-support modeling. Observations were made to determine the criteria and attributes used. The decision support model was made using the Fuzzy Multi-Attribute Decision Making (FMADM) method, followed by ranking the result to obtain the best possible recommendation using the Simple Additive Weighting (SAW) method. With FMADM and SAW, the decision support system has been successfully carried out and resulted in the recommendations ranking to support the assortment of area of interest for Information System students in UPN "Veteran" Yogyakarta.


Keywords


Decision Support System, Fuzzy Multi-Attribute Decision Making (FMADM), Simple Additive Weighting (SAW)

Full Text:

PDF

References


Adhi, Y. K., Suryani, A. A., & Setiawan, E. B. (2012). SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN PENJURUSAN SISWA SMA DENGAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE ( SMART ) DAN ARTIFICIAL NEURAL NETWORK ( ANN ). Univeristas Telkom.

Alifa, F., & Utami, A. W. (2017). Rancang Bangun Sistem Pendukung Keputusan Peminatan Mata Kuliah Menggunakan Metode Weighted Product. Jurnal Manajemen Informatika, Volume 08(01), 20–28.

Fartindyyah, N., & Subiyanto. (2013). Sistem Pendukung Keputusan Peminatan SMA menggunakan Metode Weighted Product (WP). Jurnal Pendidikan, 44(november 2014), 139–145.

MZ, Y. (2016). Sistem Pendukung Keputusan Konsentrasi dan Peminatan Prodi Teknik Informatika Universitas Janabadra Yogyakarta. Creative Information Technology Journal, 3(4), 307. https://doi.org/10.24076/citec.2016v3i4.86

Oktotino, M. D. A. (2019). Sistem Pendukung Keputusan Pemilihan Jalur Peminatan Program Studi Teknik Informatika Universitas Dian Nuswantoro Semarang Menggunakan Fmadm. 0, 1–6.

Prabowo, G. A., & Noranita, B. (2013). Sistem Pendukung Keputusan Penentuan Peminatan Peserta Didik Menggunakan Metode Weighted Product Berbasis Web. Jurnal Masyarakat Informatika, 6(11), 27–36.

Prasetyo, A., Kusrini, & Arief, M. R. (2019). Penerapan Algoritma K Nearest Neighbor Untuk Rekomendasi Minat Konsentrasi Di Program Studi Teknik Informatika Universitas PGRI Yogyakarta. Jurnal Informasi Interaktif, 4(1), 1–6.

Surya, C. (2015). Sistem Pendukung Keputusan Rekomendasi Penerima Beasiswa Menggunakan Fuzzy Multi Attribut Decision Making (FMADM) dan Simple Additive Weighting (SAW). Jurnal Rekayasa Elektrika, 11(4), 149. https://doi.org/10.17529/jre.v11i4.2364

Tinaliah, T., & Elizabeth, T. (2019). Sistem Pendukung Keputusan Pemilihan Peminatan Program Studi Teknik Informatika Menggunakan Metode SAW. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 5(2), 207–215. https://doi.org/10.35957/jatisi.v5i2.137

Yusro, M. M., & Wardoyo, R. (2013). Aplikasi Metode Fuzzy Multi-Attribute Decision Making Berbasis Web dalam Pemilihan Calon Kepala Daerah di Indonesia. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 7(1), 101–110. https://doi.org/10.22146/ijccs.3056




DOI: https://doi.org/10.31098/ess.v1i1.135

Article Metrics

Abstract view : 67 times
PDF - 25 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Vynska Amalia Permadi, Riza Prapascatama Agusdin, Sylvert Prian Tahalea, Wilis Kaswidjanti

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

PUBLISHED BY:

LPPM UPN “Veteran” Yogyakarta, RSF PRESS & RESEARCH SYNERGY FOUNDATION

Proceeding of LPPM UPN “Veteran” Yogyakarta Conference Series 2020 – Engineering and Science (ESS). 

Mailing Address: 
Research Synergy Foundation
Jalan Nyaman no 31 
Komplek Sinergi Antapani 
Bandung 40291 - Indonesia. 

Gedung Rektorat Lt. 3 
Universitas Pembangunan Nasional "VETERAN" Yogyakarta 
Jl. SWK 104 (Lingkar Utara)
Condong Catur
Yogyakarta 55283 - Indonesia. 

Email:info@upnconfeseries.com

 
The Proceeding of LPPM UPN “Veteran” Yogyakarta Conference Series 2020 – Engineering and Science (ESS) is indexed by:
 
  
 
 
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.