Optimasi Distribusi Teknisi Pembukaan Cabang Baru Service Center SHARP di Wilayah Tebet Menggunakan Algoritma Genetika

Abstract

The opening of a new branch in the Tebet area by the SHARP Service Center requires an optimal technician distribution strategy to ensure efficient after-sales service and customer satisfaction. This research proposes a model based on genetic algorithms to divide the workforce from two major branches, taking into account technical skills and regional experience as the main parameters. The weights of each parameter are explicitly assigned, with 20% for technical skills and 80% for regional experience, reflecting the priority of service needs in the coverage area. This model is designed to identify the five best technicians capable of meeting service needs in the coverage area, including Tebet, Pasar Minggu, Jatinegara, and surrounding areas. By using genetic algorithms involving 100 generations and an initial population size of 10 individuals, this research successfully produced optimal solutions in an efficient. that is less than 10 seconds per iteration on standard computing devices. The results show that the genetic algorithm is capable of providing a suitable technician distribution solution for the needs of new areas and can improve the quality of after-sales service.