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All Journal Jurnal Media Infotama JURNAL PETIK JURNAL PENDIDIKAN TAMBUSAI Jurnal Pendidikan Teknologi Informasi dan Vokasional JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Education Achievement: Journal of Science and Research INVENTION: Journal Research and Education Studies Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Computer Science and Informatics Engineering Jurnal Sains Informatika Terapan (JSIT) Jurnal Educative: Journal of Educational Studies Knowbase : International Journal of Knowledge in Database Jurnal Dedikasia : Jurnal Pengabdian Masyarakat Jurnal Mahasiswa Ilmu Komputer Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Intellect : Indonesian Journal of Learning and Technological Innovation Journal of Educational Management and Strategy JPLED Journal of Visionary Sharia Economy (JOVISHE)
Darmawati, Gusnita
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Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Journal of Computer Science and Informatics Engineering

 1 
Implementation of TOPSIS Method in Determining UKK and UKM Interests Among Students at UIN Bukittinggi Furqon, Jamaluddin Effendi; Annas, Firdaus; Yuspita, Yulifda Elin; Darmawati, Gusnita
Journal of Computer Science and Informatics Engineering Vol 5 No 2 (2026): April
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i2.1644

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.
Football Player Position Decision Support System Using MOORA Hamidah, Huwanda; Musril, Hari Antoni; Zakir, Supratman; Darmawati, Gusnita
Journal of Computer Science and Informatics Engineering Vol 5 No 2 (2026): April
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i2.1663

Abstract

This study aims to design a decision support system to determine football player positions objectively in extracurricular activities at SMA N 1 Matur. The main problem is that player positioning is still determined subjectively based on the coach’s observations, resulting in less optimal placement. This research used the Research and Development (R&D) method with the Agile development model. The system was developed as a web-based application using PHP and MySQL, while the MOORA method was applied to calculate and determine player positions based on several assessment criteria. System testing referred to the ISO/IEC 25010 standard, including functional suitability, compatibility, and usability aspects. The testing results showed that functional suitability and compatibility achieved 100%, while usability obtained a score of 0.928 in the very feasible category. The system validity result reached an average score of 0.938, and the system calculation results were consistent with manual calculations. The novelty of this study lies in the implementation of the MOORA method in a web-based decision support system to determine football player positions more objectively and systematically.
Co-Authors Abadi Simanjuntak, Rahmat Alfandi, M Raihan Angelie, Feby Anggraini, Siti Rahma Annas, Firdaus Annisa, Firdaus Anwar, Artesia Armei, Fernanda Putra Ayuri, Arthi Borotan, Nella Lestari Chan, Fajri Rinaldi Citra Purnama, Wawan Dwi Alda, Restika Efriyanti, Liza Elin, Yulifda Fadhilah, Habibatul Fenny Ayu Monia Firdaus Annas Firmanda, Anggia Fitri, Ainil Furqon, Jamaluddin Effendi Hamidah, Huwanda Hari Antoni Musril Hawani, Siti Holip, Zulahmad Husni, Sidratul Imam Hanafi Indrianti, Zulka Irsan, M Jama Hendra, Risil Jasmienti, Jasmienti Johni, Musthari Annisa Khairuddin - Khairunnisa Khairunnisa Khomarudin, Agus Nur Mariani, Asmida Marsela, Mutiara Irce Marzura, Wiwi Masturoh, Wanda Sari Oktrio, Jihan Poyan, Hafri Saldi Putri, Rizka Raffiedi, Rahmattia Rahayu Kurniati Rahayu, Della Sri Rahmadani, Nessa Rahmadani, Rahmi Rina Novita Riri Okra Risda Izzati, Hafzi Sanjaya, Intan Sarwo Derta Shafitri, Fadila Solly Aryza Syahrul R, Syahrul Tanjung, Muhammad Ridho Tanjung, Rahmatin Nikmah Valentina, Felia Widya Wahyuni Wulandari, Lara Yanti, Rahma Yulifda Elin Yuspita Zahara, Valentina Zakir, Supratman