Implementasi Algoritma Decision Tree dan Priority Scheduling pada Perangkat Lunak Pinjam Pakai Aset Publik Berbasis Web (Studi Kasus: Dinas Kepemudaan dan Olahraga Kota Palembang)
Abstract
Public asset management at the Youth and Sports Office (Dispora) of Palembang City faces conventional administrative constraints that lead to schedule collisions (double booking), bureaucratic delays, and subjective physical condition evaluations. This study develops a web-based system, named SIPANDA, integrating the Decision Tree (C4.5) algorithm for asset physical eligibility classification and Priority Scheduling based on a Weighted Scoring Model to resolve scheduling conflicts. Developed using the Rapid Application Development (RAD) method with the Laravel framework and MySQL database, the C4.5 algorithm was trained on historical asset condition records to classify items into three status categories: fit for use, requiring maintenance, and eligible for auction, achieving a classification testing accuracy of 93.33%. Concurrently, Priority Scheduling ranks overlapping requests through weighted scoring of applicant type (60%) and activity scale (40%), employing the First In First Out (FIFO) rule as a tie-breaker. Functional black-box testing demonstrated 100% validity, the average computation time for conflict resolution reached 0.12 seconds, and User Acceptance Testing (UAT) yielded an 88.5% satisfaction score. The SIPANDA system effectively eliminates schedule collisions, enhances administrative accountability, and accelerates public asset licensing workflows.
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Program Studi Teknik Informatika, Fakultas Sains Teknologi, Universitas Bina Darma, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.
Program Studi Teknik Informatika, Fakultas Sains Teknologi, Universitas Bina Darma, Kota Palembang, Provinsi Sumatera Selatan, Indonesia.
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