Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Andrew Alvaro Hazizi
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Penyeleksian Beasiswa Menggunakan Metode Simple Additive Weighting Pada Biro Akademik Kemahasiswaan dan Hubungan Masyarakat Universitas Negeri Jakarta Andrew Alvaro Hazizi; Ria Arafiah; Mulyono
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 6 No 2 (2023): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v2i1.47275

Abstract

Education is the key to improving quality of life, but the high cost of higher education often becomes a barrier. Universitas Negeri Jakarta (UNJ), through its Academic and Student Affairs Bureau and Public Relations (Bakhum), offers various scholarship programs. However, the selection and data management processes are still manual. This research designs and builds the Scholarship Selection Information System at Bakhum UNJ using the Simple Additive Weighting (SAW) method. This website-based system integrates criteria such as academic achievement, non-academic achievements, and financial conditions to determine scholarship recipients. The use of Laravel and MySQL ensures efficiency in data management. At the end of development, the system underwent black box testing to assess functionality and usability testing to evaluate its usefulness. The black box testing achieved 100% functionality, indicating that the system features operate as expected. Usability testing using Likert scale analysis yielded a usability score of 99.15%, indicating high suitability of the system. It is expected that this system will improve selection efficiency, save time, and ensure scholarships are awarded according to criteria. As a result, UNJ can support deserving students, enhance data management quality, and allocate scholarships more accurately.
Co-Authors Mulyono Ria Arafiah