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All Journal Bulletin of Computer Science Research Journal of Computing and Informatics Research
Agus Turiyono
Universitas Gunadarma, Depok
Computer Science & IT

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Sistem Pendukung Keputusan Penentuan Kegiatan Ekstrakurikuler Sekolah Terbaik Menerapkan Metode TOPSIS dan ROC Adam Huda Nugraha; Imam Purwanto; Agus Turiyono
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.557

Abstract

Extracurricular activities (ekskul) are one of the additional components in the school education system, carried out outside of curriculum learning hours. The purpose of extracurricular activities is to hone students' abilities, add insight, improve skills, and arouse the enthusiasm of students through non-academic activities. However, there are still many students who are reluctant to join extracurricular activities, perhaps due to a lack of information or interest in the types of activities offered. In this research, a Decision Support System is introduced to help determine the best school extracurricular activities. This system is designed to provide recommendations for extracurricular activities that match the interests and potential of students. The method used in the development of this system is the AHP (Analytic Hierarchy Process) method to determine the priority of extracurricular activities that best fit the criteria that have been set. The results of this study show that the "A2 Martial Arts" activity gets the highest score of 0.7909 and is ranked first as the best extracurricular activity. This recommendation is expected to increase student participation in extracurricular activities and support the development of the potential and skills of students at school.
Sistem Pendukung Keputusan Penerima BANPRES UMKM Penanganan Covid-19 Menerapkan Metode WASPAS Mochamad Dedy Subekti Rahardjo; Amelia Belinda Silviana; Dini Andriyani; Agus Turiyono
Journal of Computing and Informatics Research Vol 5 No 3 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v5i3.3119

Abstract

The Covid-19 pandemic has had a significant impact on the sustainability of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. To assist affected MSMEs, the government launched the Presidential Assistance for Micro Business Productiveness (BANPRES UMKM) program. However, in its implementation, the process of determining aid recipients often faces obstacles such as inaccurate targeting, lack of objectivity, and time constraints in the selection process. Therefore, a system is needed that can assist in effective and efficient decision-making. This study aims to design a Decision Support System (DSS) to determine BANPRES UMKM recipients by applying the Weighted Aggregated Sum Product Assessment (WASPAS) method. The WASPAS method was chosen because it is able to integrate the advantages of the Weighted Sum Model (WSM) and Weighted Product Model (WPM) methods, resulting in more stable and accurate calculations in multi-criteria problems. The criteria used in this system include business legality, length of business operation, level of losses due to the pandemic, number of family dependents, and asset ownership. System testing results demonstrate that the WASPAS method is capable of objectively ranking alternatives, thus supporting a more transparent and targeted selection process. This research is expected to provide a technological solution to support data-driven social assistance distribution and measurable decision-making logic.
Co-Authors Adam Huda Nugraha Amelia Belinda Silviana Dini Andriyani Imam Purwanto Mochamad Dedy Subekti Rahardjo