CD Skripsi
Optimasi Rute Penjemputan Penumpang Travel Menggunakan Metode Algoritma Genetika Berbasis Web Gis
ABSTRACT
Route optimization is a common challenge in the field of transportation. This
research aims to optimize pickup passenger routes using a genetic algorithm and
Geographical Information System for travel purposes. The primary objective is to
minimize the total distance and travel time for passengers. The genetic algorithm
is utilized to generate potential route populations, where each route represents a
feasible pickup sequence. By applying crossover and mutation operators, the
algorithm explores the solution space to find near-optimal routes. Fitness
evaluation takes into account various factors, including distance and travel time,
resulting in efficient and comfortable routes for passengers. To validate the
proposed approach, real-world sample data of pickup passengers from CV.
Gabus Rawa Travel is used. The results highlight the effectiveness of the genetic
algorithm in optimizing pickup passenger routes. This approach enables
transportation service providers to improve resource allocation, reduce travel
time and distance traveled for pickup passengers. The system generated is
efficient in producing optimal routes with a time complexity of O(n^3), thus
enhancing the efficiency of the pickup passenger travel process.
Keywords: Route Optimization, Genetic Algorithm, Geographical Information
System, fitness
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