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All Journal Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Ryan Dhea Pratama
Program Studi Informatika, Fakultas Ilmu Komputer, Universitas Amikom Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Journal : Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen

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PEMANFAATAN METODE HEURISTIK TRAVELLING SALESMAN PROBLEM WITH TIME WINDOWS PADA RUTE ANTAR JEMPUT LAUNDRY DENGAN ALGORITMA GENETIKA Wiwi Widayani; Dhimas Abdi Pratama; Ryan Dhea Pratama; Edy Tama Kusumajaya; Albiruni Dharma
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 17 No 1 (2019): Januari 2019
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v17i1.76

Abstract

Laundry business is quite a lot to bring profit, became main attraction of every person to open this business. Needed innovation in order to improve the service can make customer did not move to another. An example is laundry pickup service optimization where each customer has reserved time to deliver and receive their order. Calculation the fastest route is most important part in serving all customers. Another things is traveling salesman problem (TSP) which goal is to choose the shortest path. In this case, the precise arrival time each customer must be considered. The best solution to the problem is achieved by combining chromosomes(solutions) to produce new chromosome using genetic algorithms(Selection, Crossover and Mutation). Looking for the best solution used several combination of crossover and mutation and size, including population size and generation size. From the test result obtained an optimal value is 2000 with the best crossover and mutation probability is 0,4 and 0,6. From parameter value that can give solutions to serve customers with a time window.
Co-Authors Albiruni Dharma Dhimas Abdi Pratama Edy Tama Kusumajaya Wiwi Widayani