PEMANFAATAN ONTOLOGI DALAM OPTIMASI PENJADWALAN KARYAWAN MENGGUNAKAN METODE ALGORITMA GENETIKA

THEJA, HARDIAN and Yunita, Yunita and Rodiah, Desty (2023) PEMANFAATAN ONTOLOGI DALAM OPTIMASI PENJADWALAN KARYAWAN MENGGUNAKAN METODE ALGORITMA GENETIKA. Undergraduate thesis, Sriwijaya University.

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Abstract

Employee scheduling is a crucial aspect that needs to be effectively implemented within a company. Companies often face challenges such as conflicting employee schedules and limited resources. Therefore, a solution is needed to provide optimal employee schedules. One effective method for optimizing employee schedules is the genetic algorithm approach. In this research, the genetic algorithm plays a significant role in optimizing employee schedules to adhere to the given constraints. By utilizing ontology as a tool to organize knowledge and comprehend complex concepts in employee scheduling, the resulting employee schedules can be highly valuable when the fitness value approaches 1. This study utilizes parameters such as popsize = 100, iteration = 500, mr = 0,3 and cr = 0,7. Through the conducted testing, the obtained employee schedule yields the highest fitness value of 0,89056.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Algoritma Genetika, Ontologi, Penjadwalan Karyawan, Optimasi
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Hardian Theja
Date Deposited:	24 Jul 2023 08:39
Last Modified:	24 Jul 2023 08:39
URI:	http://repository.unsri.ac.id/id/eprint/120646

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