Journal of Computer Science and Informatics Engineering
Vol 5 No 2 (2026): April

Implementation of TOPSIS Method in Determining UKK and UKM Interests Among Students at UIN Bukittinggi

Furqon, Jamaluddin Effendi (Unknown)
Annas, Firdaus (Unknown)
Yuspita, Yulifda Elin (Unknown)
Darmawati, Gusnita (Unknown)



Article Info

Publish Date
30 Apr 2026

Abstract

This study is motivated by the declining level of student interest in UKM and UKK organizations on campus over the years. One of the main issues is that many students feel mismatched with the UKK/UKM they selected after joining. Therefore, a decision support system is proposed to address this problem. The objective of this research is to analyze the implementation of a Decision Support System (DSS) using the TOPSIS method in determining students’ preferences for UKK/UKM at UIN Sjech M. Djamil Djambek Bukittinggi. This study applies an applied research approach with TOPSIS as the data analysis method. The evaluation includes accuracy testing between manual calculations and system results, as well as sensitivity testing using the SAW method. The results show that the TOPSIS-based DSS utilizes eight benefit criteria: interest, talent, UKK/UKM description, activity division, activity schedule, recruitment system, membership requirements, and flagship programs. The alternatives include all UKK/UKM at UIN SMDD Bukittinggi. The accuracy test produced a score of 73.23% from 1,188 student data samples, indicating that the system is feasible. Furthermore, the sensitivity test shows a comparison value of 0.13% for SAW and 15.58% for TOPSIS, indicating that TOPSIS is more relevant for this case.

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Journal Info

Abbrev

cosie

Publisher

Subject

Computer Science & IT

Description

Artificial Intelligence Machine Learning Natural Language Processing Computer Vision Text Speech Text Mining Data mining Cryptography Data visualization Expert System Deep Learning Fuzzy Logic IoT and smart environments Neural Networks Pattern Recognition Image Processing Optimization Digital Signal ...