Penerapan Algoritma Particle Swarm Optimization (PSO) pada Sistem Penjadwalan Kegiatan Mentoring Baca Tulis Al-Qur'an

Serliana Serliana; Rahman Rahman; Hastuti Hastuti; Farida Yusuf; A. Mustika Abidin

doi:10.62951/switch.v3i1.337

Authors

Serliana Serliana Universitas Islam Negeri Alauddin Makassar
Rahman Rahman Universitas Islam Negeri Alauddin Makassar
Hastuti Hastuti Universitas Islam Negeri Alauddin Makassar
Farida Yusuf Universitas Islam Negeri Alauddin Makassar
A. Mustika Abidin Universitas Islam Negeri Alauddin Makassar

DOI:

https://doi.org/10.62951/switch.v3i1.337

Keywords:

Particle Swarm Optimization (PSO), Scheduling, BTQ Mentoring

Abstract

The application of algorithms in the mentoring activity scheduling system is an innovative solution to overcome the complexity of time and resource management. This study aims to develop a mentoring activity scheduling system for Reading and Writing the Qur'an (BTQ) using the particle swarm optimization (PSO) algorithm. The PSO algorithm was chosen because of its ability to find optimal solutions efficiently through a particle population approach. This system is designed to meet the schedule preferences of students and supervisors, taking into account the limited time available and the interrelationships between schedules. This study makes a significant contribution to improving the efficiency of BTQ mentoring activity scheduling, as well as demonstrating the potential of PSO in solving other scheduling problems.

Downloads

Download data is not yet available.

References

Jumsayrah, Albar, M. A., & Afwani, R. (2023). Sistem penjadwalan mata kuliah otomatis berbasis web menggunakan algoritma Particle Swarm Optimization (PSO) studi kasus Program Studi Teknik Informatika (PSTI) Universitas Mataram. Journal Software Engineering and Computational Intelligence, 1(1), 1–10.

Khalid, Q. S., Azim, S., Abas, M., Babar, A. R., & Ahmad, I. (2021). Modified particle swarm algorithm for scheduling agricultural products. Engineering Science and Technology, an International Journal, 24(3), 818–828. https://doi.org/10.1016/j.jestch.2020.12.019

Kurniawan, A., Hidayah, N., & Sugiyat. (2023). Implementasi program mentoring dalam memperbaiki kualitas bacaan Al-Qur’an di Madrasah Tsanawiyah Al Islam Jamsaren Surakarta. Attaqwa: Jurnal Ilmu Pendidikan Islam, 19(2), 170–180.

Nugraha, D. W., Dodu, A. Y. E., & Paloloang, M. F. B. (2019). Sistem penjadwalan perkuliahan menggunakan algoritma Particle Swarm Optimization pada Jurusan Teknologi Informasi Fakultas Teknik Tadulako. ScientiCO: Computer Science and Informatics Journal, 2(1), 1–11.

Nur, D., Rahmawati, U., Fauzi, T. I., Kurnia Illahi, R., & Yunita, R. (2021). The practice of Islamic education through mentoring activities and its effect on increasing worship for new students. Social Sciences, Education and Humanities. https://doi.org/10.32698/icie560

Pambudi, A. P., Waluyo, A., & Fatich, E. V. L. N. (2021). Perancangan sistem penjadwalan perkuliahan berbasis website menggunakan algoritma genetika. Jurnal Teknik Informatika dan Sistem Informasi, 8(3), 1133–1146. https://doi.org/10.35957/jatisi.v8i3.1051

Ramdania, D. R., Irfan, M., Alfarisi, F., & Nuraiman, D. (2019). Comparison of genetic algorithms and Particle Swarm Optimization (PSO) algorithms in course scheduling. Journal of Physics: Conference Series, 1402(2). https://doi.org/10.1088/1742-6596/1402/2/022079

Swari, M. H. P., Putra, C. A., & Handika, I. P. S. (2022). Analisis perbandingan algoritma genetika dan modified improved Particle Swarm Optimization dalam penjadwalan mata kuliah. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 11(2), 92–101. https://doi.org/10.23887/janapati.v11i2.49061

Tanjung, I. I., Nurhayati, Jannah, R., & Sari, R. F. (2021). Pembelajaran baca tulis Alquran dalam dunia pendidikan. Al-Ulum: Jurnal Pendidikan Islam, 1(2), 133–146. https://doi.org/10.56114/al-ulum.v1i2.53