Noviasari, Indah and Rusli, Andre and Hansun, Seng (2018) Penerapan Algoritma ACO untuk Penjadwalan Kuliah Pengganti pada Perguruan Tinggi (Studi Kasus: Program Studi Informatika, Universitas Multimedia Nusantara). Ultima InfoSys : Jurnal Ilmu Sistem Informasi, 9 (2). ISSN 2549-4015
Full text not available from this repository.Abstract
Students and scheduling are both essential parts in a higher educational institution. However, after schedules are arranged and students has agreed to them, there are some occasions that can occur beyond the control of the university or lecturer which require the courses to be cancelled and arranged for replacement course schedules. At Universitas Multimedia Nusantara, an agreement between lecturers and students manually every time to establish a replacement course. The agreement consists of a replacement date and time that will be registered to the division of BAAK UMN which then enter the new schedule to the system. In this study, Ant Colony Optimization algorithm is implemented for scheduling replacement courses to make it easier and less time consuming. The Ant Colony Optimization (ACO) algorithm is chosen because it is proven to be effective when implemented to many scheduling problems. Result shows that ACO could enhance the scheduling system in Universitas Multimedia Nusantara, which specifically tested on the Department of Informatics replacement course scheduling system. Furthermore, the newly built system has also been tested by several lecturers of Informatics UMN with a good level of perceived usefulness and perceived ease of use.
| Item Type: | Article |
|---|---|
| Keywords: | scheduling system, replacement course, Universitas Multimedia Nusantara, Ant Colony Optimization |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 13 Oct 2021 07:27 |
| Last Modified: | 13 Oct 2021 07:27 |
| URI: | https://kc.umn.ac.id/id/eprint/18727 |
Actions (login required)
 |
View Item |
