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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Zikratul Maulana
Universitas Malikussaleh
Computer Science & IT Engineering

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The SISTEM PENJADWALAN PADA DAYAH DARUL MUARRIF AL-AZIZIYAH MENGGUNAKAN METODE ALGORITMA GENETIKA: SCHEDULING SYSTEM AT DAYAH DARUL MUARRIF AL-AZIZIYAH USING GENETIC ALGORITHM METHOD Zikratul Maulana; Fadlisyah Fadlisyah; Fajriana Fajriana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6405

Abstract

The scheduling of subjects at Dayah Darul Muarrif Al-Aziziyyah is a complex problem due to multiple constraints, such as teacher availability, classroom capacity, and student learning time. This problem falls into the NP-hard category, making conventional methods less effective. This study utilizes a genetic algorithm to efficiently solve the scheduling problem. The schedule is represented as a chromosome containing subject, time, room, and teacher data. Evaluation is performed using a fitness function based on hard constraints (such as schedule conflicts) and soft constraints (such as time preferences). The results demonstrate that the genetic algorithm can produce feasible and more efficient schedules compared to manual scheduling. This study supports the development of adaptive automatic scheduling systems for educational institutions. In addition, the system is designed with a user-friendly interface and is capable of evolving the population iteratively to find an optimal or near-optimal solution. Testing was conducted using real data from Dayah Darul Muarrif Al-Aziziyyah, demonstrating the system’s ability to handle various combinations of constraints with a high degree of accuracy. Thus, this approach not only accelerates the scheduling process but also improves the overall quality of schedule management.
Co-Authors Fadlisyah Fadlisyah Fajriana, Fajriana