Lecture Schedule on Accounting Computer Department of Indonesia Computer University Using Genetic Algorithm
- DOI
- 10.2991/icobest-18.2018.89How to use a DOI?
- Keywords
- lecture schedule, Accounting, genetic algorithm
- Abstract
The aim of this research is to obtain the best combination of scheduling of courses and lecturers but does not violate the constraints of the Accounting Computer Department of Indonesia Computer University. Hence the need considered various aspects that affect scheduling of courses. From the aspect of lecturers, we need to consider to the possibility of the lecturer in question cannot be taught because the other academic activities, lecturer teaching more than one subject on the same day and same hour and lecturers already have a schedule of teaching in the Department of another. These problems included in the NP-Hard Problem (Nondeterministic Polynomial time), namely the entire alternative combinations should be tested. This research uses genetic algorithms approach namely computational approach is to solve a problem that is modeled with the biological processes of evolution. Genetic algorithm will represent the solutions using genetic operations such as crossover and mutation. The result of this genetic algorithm shows the best fitness value one which means there is no breach of a hard constraint. The best combination with making no use of high-frequency space and no lecturer teaching the high frequency.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Doddy Maulana Yusuf PY - 2018/11 DA - 2018/11 TI - Lecture Schedule on Accounting Computer Department of Indonesia Computer University Using Genetic Algorithm BT - Proceedings of the International Conference on Business, Economic, Social Science and Humanities (ICOBEST 2018) PB - Atlantis Press SP - 402 EP - 404 SN - 2352-5398 UR - https://doi.org/10.2991/icobest-18.2018.89 DO - 10.2991/icobest-18.2018.89 ID - MaulanaYusuf2018/11 ER -