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Enhancing Usability of the Academic Information System at Bhayangkara University: A Design Thinking and System Usability Approach Rakhmi Khalida; R Wisnu Prio Pamungkas
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7239

Abstract

Bhayangkara University implements an information system to assist its academic process, namely SIA (Academic Information System). The high level of usability in SIA affects the smooth running of the academic process. This research uses a combination of design thinking and system usability scale methods as an approach to increase usability in AIS applications. The results show that the SIA application has a high usability value with a B rating scale and the good acceptable category is pleasant for users. Recommendations for improvements based on the method used are increasing server capacity so that SIA can work more relevantly, and effectively, and can use last a long time
Transformation of Basketball Academy Athlete Performance Evaluation Using Information Technology and the Weighted Product Method Pahrizal; R Wisnu Prio Pamungkas; Fried Sinlae
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.562

Abstract

Performance evaluation of basketball athletes at academies in Indonesia still largely relies on manual, subjective, and unintegrated assessment processes, leading to inconsistencies between evaluation periods. This study aims to design and develop a web-based information system for athlete performance evaluation at Bendella Basketball Court, Bekasi, using the Weighted Product (WP) algorithm. The system was developed following the Waterfall Software Development Life Cycle (SDLC) methodology, covering requirements analysis, system design, implementation with the Laravel framework, and testing. Eight evaluation criteria were established: shooting (20%), dribbling (15%), defense (15%), passing (10%), speed (10%), stamina (10%), discipline (10%), and teamwork (10%). The WP algorithm computes vector S and preference value V for each athlete, followed by threshold-based categorization into Junior Advance and Junior Basic categories. Testing on five sample athletes demonstrates that the system correctly ranks and categorizes athletes objectively. The Weighted Product method provides greater stability compared to Simple Additive Weighting (SAW) with a sensitivity change of only 0.01% versus 0.38%. This system supports coaches in making more accurate, consistent, and data-driven athlete evaluation decisions.