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All Journal Journal of Information Technology (JIfoTech)
Yun Betry Siagian
Universitas Islam Negeri Sumatera Utara
Computer Science & IT

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Penjadwalan Pembelajaran Narapidana: Penerapan Algoritma Genetika di LPKA Kelas I Tanjung Gusta Medan Yun Betry Siagian; Heri Santoso; Muhammad Dedi Irawan
Journal of Information Technology Vol 4 No 1 (2024): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v4i1.873

Abstract

Scheduling in education has been a common issue faced, particularly concerning the mismatch between class hours and teacher availability. Addressing this necessitated careful precision and a significant amount of time for subject scheduling. Genetic algorithms emerged as a suitable choice for managing school subject scheduling due to their capability to address multi-criteria and multi-objective problems inspired by biological evolution. The concept of genetic algorithms could be effectively applied in the context of schedule arrangement within educational institutions. This study employed a quantitative methodology and implemented the Rapid Application Development (RAD) system development method. The utilization of genetic algorithms in subject scheduling, as demonstrated in this research, was deemed beneficial for correctional institutions previously engaged in manual scheduling processes. The outcomes indicated the success of the genetic algorithm approach in resolving school scheduling issues by seeking optimal scheduling combinations, as evidenced by achieving maximum fitness values and minimal errors (in this case, an error value of 0), indicating the absence of class schedule conflicts.
Co-Authors Heri Santoso Muhammad Dedi Irawan