Design of Rescheduling of Lecturing, using Genetics-Ant Colony Optimization Algorithm

International Conference on Informatics, Engineering, Science and Technology

计算机科学;工业技术

Palembang, C.F.^1

Magister Sistem Informasi, Universitas Komputer Indonesia, Indonesia^1

关键词: Ant colony algorithms;    Ant Colony Optimization algorithms;    Error rate;    Finding solutions;    Indonesia;    Research data;    Scheduling systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/407/1/012111/pdf
DOI  :  10.1088/1757-899X/407/1/012111

来源: IOP

【 摘 要 】

The purpose of this research is to produce a new scheduling system by Minimizing impact and error rate of a new schedule. The algorithm used in this research is the Genetics-Ant Colony algorithm combination with research data taken at the University Computer Indonesia (UNIKOM) and using PHP programMing language. Results obtained from this research is the creation of a new scheduling system with success rate above >50% without error and clash. Based on the results of this research, it is expected to contribute the management of scheduling system at a university in finding solutions to find replacement lecturers automatically if there is absence of lecturers who are unable to attend without disturbing other schedules.