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All Journal Techno.Com: Jurnal Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Manajemen Informatika IJISTECH Journal of Information Technology (JIfoTech) Jurnal Armada Informatika Prosiding Seminar Nasional Teknik UISU (SEMNASTEK)
Heri Santoso
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences

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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 Abdul Halim Hasugian Adam Damiri Manurung Armansyah Armansyah Dita Desliani Fitri Handayani Siregar Imam Adlin Sinaga Indah Ramadhani Harahap M. Fakhriza Mhd Zulfansyuri Siambaton Mhd. Andre Wahyuda Lubis Muhammad Dedi Irawan Nur Awal Sholih Raissa Amanda Putri Sahbandi Sahbandi Suendri, Suendri Yun Betry Siagian Yusuf Ramadhan Nasution Zakiyah Khalilah Daulay