PROTOTYPE SISTEM PENCARIAN REKOMENDASI LOKASI KERAJINAN LOKAL DI YOGYAKARTA MENGGUNAKAN TRAVELING SALESMAN PROBLEM (TSP) DENGAN ALGORITMA GENETIKA
Abstract: Local craft industry
is now starting to compete with other industries in the process of advancing
the region and even the country's economy. Yogyakarta, as a tourism destination
known for its traditional cultural values would be more interesting if the
culture of local crafts can be more openly introduced. The high interest in the
local craft makes tourists want to see, and even to try the process of making
of local crafts in Yogyakarta. Traveling Salesman Problem (TSP) with genetic
algorithm method works by providing Yogyakarta's local craft location
recommendation, from closest to farthest location that can be visited by
tourists with the use of Global Positioning System (GPS) on their smartphones.
Traveling Salesman Problem (TSP) with genetic algorithm (GA) method provides
the best traveling route for tourists who want to find and visit Yogyakarta's
local craft location in one hand.
Keywords: Traveling Salesman
Problem (TSP); Genetic Algorithm; Local Craft; Traveling Route; Global
Positioning System (GPS)
Penulis: Handy Eka Putra
Anwar, Deviani Titi Nautami, Dhina Puspasari Wijaya
Kode Jurnal: jptindustridd160085
