ALGORITMA GENETIKA FUZZY DAN APLIKASINYA PADA PERMASALAHAN RUTE TERDEKAT (STUDI KASUS: SHOPEE EXPRESS)

Rizqianingsih, NIM.: 18106010039 (2025) ALGORITMA GENETIKA FUZZY DAN APLIKASINYA PADA PERMASALAHAN RUTE TERDEKAT (STUDI KASUS: SHOPEE EXPRESS). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Yogyakarta is one of the most densely populated provinces in Indonesia, which contributes to its high volume of online buying and selling activities. One interesting aspect of this is the presence of many Shopee Express warehouses spread across Yogyakarta, all connected to the main distribution center (Yogyakarta DC). The problem of choosing a new delivery route from the Yogyakarta DC can be described using a graph, where each Last Mile warehouse is represented as a node, and the roads connecting them are represented as edges. This study focuses on solving the Shortest Path Problem (SPP), which aims to find the most efficient delivery route using the Fuzzy Genetic Algorithm. The steps in this algorithm include encoding, population initialization, selection, crossover, mutation, and creating a new generation. The best route is found when a chromosome produces the smallest total distance. Based on the results, the shortest route for the delivery truck is Yogyakarta DC – Godean Hub – Gamping Hub.

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