Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Scientific Journal of Informatics
Amin Suharjono
Department of Electrical Engineering, Politeknik Negeri Semarang, Indonesia
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Enhancing Transportation Route Optimization Through Genetic Algorithm-Based Vehicle Routing Problem Method Sidiq Syamsul Hidayat; Bagaskara Bagaskara; Amin Suharjono; Irfan Mujahidin
Scientific Journal of Informatics Vol 10, No 4 (2023): November 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i4.47049

Abstract

Purpose: The purpose of this study is to identify effective and efficient waste collection route for cost savings. The focus is on Tembalang District, where waste management has been compromised due to inefficient transportation.Methods: The study employs genetic algorithm to ascertain the optimal routes for waste collection vehicles. This method seeks to design an improved transportation system, taking waste from transfer stations (TPS) to landfills.Results: The devised waste transport model from the study demonstrated an optimized route for Tembalang Sub-District, with a total distance of 17.90 km and took 49 minutes. This contrasts with the existing route defined by the Sanitation Department, which spans 18.20 km and requires 1 hour and 15 minutes.Novelty: Innovative application of the Vehicle Routing Problem method coupled with the Genetic Algorithm. This approach resulted in a significant reduction of time (by 35%) compared to traditional routing systems, and thus minimizing the number of waste collection vehicles required and enhancing overall waste management in Semarang.
Co-Authors Bagaskara Bagaskara Irfan Mujahidin Sidiq Syamsul Hidayat