Implementasi Sistem Penjadwalan Mata Kuliah Menggunakan Metode Algoritma Genetika Berbasis Web
DOI:
https://doi.org/10.47065/bulletincsr.v4i1.304Keywords:
Scheduling; Lectures; Bina Insan University; Genetic AlgorithmsAbstract
The process of preparing the lecture schedule at Bina Insan University is still done semi-manually with the help of Microsoft Excel and takes days, even weeks, whereas making the schedule must be done optimally and quickly because the schedule will be used for lecture activities each semester, so that the scheduling process can be carried out effectively and efficiently, so we need an application that can simplify the scheduling process, namely a scheduling application and applying the right algorithm, one of the algorithms that can be used in scheduling applications is the Genetic Algorithm. Course scheduling is a process of allocating courses, lecturers, space and time by matching predetermined rules so that all these components can be fulfilled. Genetic Algorithms are search algorithms that are based on natural selection mechanisms and natural genetics. The results of the research are in the form of a schedule that is prepared automatically without any more clashes between times and classes to be used
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Y. Afandi and W. Setiyaningsih, “Sistem Pejadwalan Kuliah Meggunakan Metode Algoritma Genetika pada Program Magister Fakultas Ekonomi dan Bisnis,” RAINSTEK J. Terap. Sains Teknol., vol. 1, no. 1, pp. 40–47, 2019, doi: 10.21067/jtst.v1i1.3069.
I. Ivan, S. Raphael, and H. Agung, “Aplikasi Penjadwalan Mata Pelajaran Di Sman 31 Menggunakan Algoritma Genetika Berbasis Web,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 9, no. 1, pp. 641–656, 2018, doi: 10.24176/simet.v9i1.2010.
dan A. I. Khadijah Febriana, Sri Wahjuni, “Optimasi Distribusi Truk Pengangkut Sampah Menggunakan Algoritma Genetika Pada Sistem Pengelolaan Sampah Kota Bogor,” J. Teknol. Ind. Pertan., vol. 29, no. 3, pp. 260–268, 2019, doi: 10.24961/j.tek.ind.pert.2019.29.3.260.
P. A. Rizki and Y. Hendriyani, “Rancang Bangun Aplikasi Penjadwalan Mata Pelajaran SMK Muhammadiyah 1 Pekanbaru Berbasis Web Menggunakan Algoritma Genetika,” vol. 7, pp. 24787–24798, 2023.
S. F. Pane, R. Maulana Awangga, E. V. Rahcmadani, and S. Permana, “Implementasi Algoritma Genetika Untuk Optimalisasi Pelayanan Kependudukan,” J. Tekno Insentif, vol. 13, no. 2, pp. 36–43, 2019, doi: 10.36787/jti.v13i2.130.
L. Qomariah and A. Sucipto, “Sistem Infomasi Surat Perintah Tugas Menggunakan Pendekatan Web Engineering,” J. Teknol. dan Sist. Inf., vol. 2, no. 1, pp. 86–95, 2021, [Online]. Available: http://jim.teknokrat.ac.id/index.php/JTSI.
A. T. Laksono, M. C. Utami, and Y. Sugiarti, “SSistem Penjadwalan Kuliah Menggunakan Metode Algoritma Genetika (Studi Kasus: Fakultas Kedokteran Dan Kesehatan Universitas Muhammadiyah Jakarta),” Stud. Inform. J. Sist. Inf., vol. 9, no. 2, pp. 177–188, 2016.
A. P. Harianja and S. I. Sembiring, “Perancangan Sistem Monitoring Skripsi dengan Metode Web Engineering (Studi Kasus: Fakultas Ilmu Komputer Universitas Katolik Santo Thomas),” vol. 01, no. 02, pp. 93–98, 2019.
APRILIA ARISANTI, “Perancangan Sistem Informasi Pendataan Penduduk Berbasis Web Menggunakan Metode Waterfall Pada Desa Bogorejo Kecamatan Gedongtataan,” pp. 1–8, 2014.
R. T. Prasetio, “SELEKSI FITUR DAN OPTIMASI PARAMETER k-NN BERBASIS ALGORITMA GENETIKA PADA DATASET MEDIS,” J. Responsif Ris. Sains dan Inform., vol. 2, no. 2, pp. 213–221, 2020, doi: 10.51977/jti.v2i2.319.
L. Paranduk, A. Indriani, M. Hafid, and Suprianto, “Sistem Informasi Penjadwalan Mata Kuliah Menggunakan Algoritma Genetika Berbasis Web,” Semin. Nas. Apl. Teknol. Inf., pp. E46–E50, 2018.
A. T. Saud, D. W. Nugraha, and A. Y. E. Dodu, “Sistem Penjadwalan Perkuliahan Menggunakan Algoritma Genetika (Studi Kasus Pada Jurusan Teknologi Informasi Fakultas Teknik Universitas Tadulako),” J. Ilm. Mat. Dan Terap., vol. 14, no. 2, pp. 242–255, 2017, doi: 10.22487/2540766x.2017.v14.i2.9026.
Y. Sari, M. Alkaff, E. S. Wijaya, S. Soraya, and D. P. Kartikasari, “Optimasi Penjadwalan Mata Kuliah Menggunakan Metode Algoritma Genetika dengan Teknik Tournament Selection,” J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 1, pp. 85–92, 2019, doi: 10.25126/jtiik.2019611262.
I. H. Sugeha, R. L. Inkiriwang, and P. A. K. Pratatis, “Optimasi Penjadwalan Menggunakan Metode Algoritma Genetika Pada Proyek Rehabilitasi Puskesmas Minanga,” J. Sipil Statik, vol. 7, no. 12, pp. 1669–1680, 2019, [Online]. Available: https://ejournal.unsrat.ac.id/v3/index.php/jss/article/view/26145.
D. Cahya Putri Buani, “Penerapan Algoritma Naïve Bayes dengan Seleksi Fitur Algoritma Genetika Untuk Prediksi Gagal Jantung,” EVOLUSI J. Sains dan Manaj., vol. 9, no. 2, pp. 43–48, 2021, doi: 10.31294/evolusi.v9i2.11141.
H. Ardiansyah and M. B. S. Junianto, “Penerapan Algoritma Genetika untuk Penjadwalan Mata Pelajaran,” J. Media Inform. Budidarma, vol. 6, no. 1, p. 329, 2022, doi: 10.30865/mib.v6i1.3418.
M. F. Azim, Azizah, and D. Anggraeni, “Optimasi portofolio saham dengan pembobot menggunakan algoritma genetika,” J. Sains Mat. dan Stat., vol. 7, no. 1, p. 58, 2021.
N. Luh Gede Pivin Suwirmayanti, I. Made Sudarsana, S. Darmayasa, S. STIKOM Bali Jl Raya Puputan No, R. Denpasar, and P. Studi Sistem Komputer, “Penerapan Algoritma Genetika Untuk Penjadwalan Mata Pelajaran Implementation of Genetic Algorithm for Course Scheduling,” J. Appl. Intell. Syst., vol. 1, no. 3, pp. 220–233, 2016.
L. P. S. Ardiyani, “Perbandingan Algoritma Genetika dengan Algoritma Steepest Ascent Hill Climbing untuk Optimasi Penjadwalan Kuliah,” J. Nas. Pendidik. Tek. Inform., vol. 11, no. 1, p. 63, 2022, doi: 10.23887/janapati.v11i1.43172.
T. J. Ahyana and Y. Jumaryadi, “Perancangan Sistem Informasi Penjadwalan Mengajar Menggunakan Metode Algoritma Genetika,” Ensiklopedia J., vol. 1, no. 2, pp. 112–116, 2019.
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