Vehicle Rental Facility Using Genetic Algorithm

In carrying out the activities of the company is supported by the availability of adequate transportation facilities. Given the relatively large number of employees, the use of office vehicles is quite dense. So far, the form filling vehicle demand face a number of obstacles, among others: the use of paper is too much, the employee must filling the form at least 6 hours before departure, and It could not monitor the demand of vehicle directly and using of the vehicles in real-time, a lot of form requests became waiting list, As one solution, the need for IT-based system, which is a vehicle Facility Scheduling Application Usage by using a genetic algorithm for scheduling determination. The results of the borrowing facility scheduling applications of these vehicles are in the form of borrowing schedule for vehicles that do not conflict and can facilitate the determination of the borrowing schedule vehicle facilities at the company where the manual process of scheduling clashes occurred as many as 8 in a scale of 15 requests in the same time in one department with a number of drivers were 11 people, while after scheduling with genetic algorithms that do the scheduling clash occurred as many as 4 in a scale of 15 requests in the same time in one department with a number of drivers as much as 11 which can then be done by replacing the rescheduled departure time.