Optimization of Genetic Algorithm for Implementation Designing and Modeling in Academic Scheduling

Authors

  • Tri Suratno Information System Study Program, Fakultas Sain dan Teknologi, Universitas Jambi
  • Niken Rarasati Fakultas Sain dan Teknologi, Universitas Jambi, Indonesia
  • Gusmanely Z` Fakultas Sains dan Teknologi, Universitas Jambi, Indonesia

DOI:

https://doi.org/10.24036/eksakta/vol20-iss1/166

Keywords:

Scheduling; Genetic Algorithms; lecture; practice

Abstract

This research was investigated using the Genetic Algebra Method for scheduling lectures and practicums. Genetic algorithms are used to solve problems that are modeled according to evolutionary principles in biological sciences. The application of the Genetic Algebraic Method for Scheduling Lectures and Practices is expected to be further developed into a computerized system that can replace the manual lecture scheduling and practicum methods so that it can produce a more accurate schedule with existing rules in a shorter time. The results of the use of the genetic algorithm method are obtained from the results of the data which are fixed scheduling lecture data and can be recommended for lectures according to the lecture schedule obtained from the results of generating genetic algorithms.

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References

V. Amrizal, Algoritma Genetika, Jakarta: Universitas Islam Negeri Syarif Hidayatullah, 2012

A. Darmawan dan R.M. Hasibuan. (2014). Penjadwalan Mata Kuliah Menggunakan Algoritma Genetika Dengan Mempertimbangkan Team-Teaching. Simposium Nasional RAPI XIII - 2014 FT UMS- ISSN 1412-9612

A. Basuki, Algoritma Genetika : Suatu Alternatif Penyelesaian Permasalahan Searching, Optimasi dan Machine Learning, Surabaya: Politeknik Elektronika Negeri Surabaya PENS-ITS, 2003

Adhy, S. & Kushartantya. 2003. Penyelesaian Masalah Job Shop menggunakan Algoritma Genetika. Jurnal Masyarakat Informatika. 1(1): 31-42.

Apriani, R. 2012. Algoritma Genetika untuk Menyelesaikan Permasalahan Penjadwalan Perkuliahan dan Praktikum.Skripsi. Universitas Sumatera Utara.

Bangun, P.B.J., Octarina, S. & Virgo, G.H. 2012. Penerapan Konsep AlgoritmaGenetika untuk Penjadwalan Kegiatan Perkuliahan Semester Ganjil Kurikulum 2012 di Jurusan Matematika FMIPA UNSRI. Jurnal Penelitian Sains. 2(15): 55-59.

Berlianty, I. & Arifin, M. 2010. Teknik-Teknik Optimasi Heuristik. Graha Ilmu: Yogyakarta.

Burke, E., Elliman, D.,Weare, R.1994. A Genetic Algorithm Based University Timetabling Systems. Department of Computer Science, University Nottingham.

Darmawan, A, Gumilang, E.F dan Herianto, 2011, Penjadwalan mata kuliah dengan Algoritma Genetika untuk minimasi fluktuasi beban jam dosen dan mahasiswa, Prosiding: Seminar Nasional Teknik Industri, Hal: IV 36-41, 5-6 Oktober, Medan.

Pinedo. M.L. 2008. Scheduling: Theory, Algorithms, and Systems. Springer: New York.

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Published

2019-04-28

Issue

Vol. 20 No. 1 (2019): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)

Section

EKSAKTA: Berkala Ilmiah Bidang MIPA

License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted non-commercial use, distribution and reproduction in any medium

How to Cite

1.
Optimization of Genetic Algorithm for Implementation Designing and Modeling in Academic Scheduling. EKSAKTA [Internet]. 2019 Apr. 28 [cited 2026 Jul. 28];20(1):17-24. Available from: https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/166

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