Decision-Making System for Determining the Location of Public Electric Charging Stations (SPLU) with Machine Learning
Sistem Pengambilan Keputusan Penentuan Lokasi Stasiun Pengisian Listrik Umum (SPLU) dengan Machine Learning
DOI:
https://doi.org/10.21070/ups.6020Keywords:
Electricity, Locations of Public Electric Vehicle Charging Stations, Social MediaAbstract
Electric vehicles are becoming increasingly popular as an environmentally friendly alternative, but the main
challenge is the availability of adequate charging infrastructure. This research aims to develop a decision making
system for determining the best public electric vehicle charging station (SPLU) locations utilizing machine
learning. The purpose of this research is to find out the process of determining the location of Public Electric
Charging Stations (SPLU) using a Machine Learning-based decision making system. This research uses
quantitative methods with AHP techniques to determine the criteria weights and machine learning to recommend
the best SPLU locations based on spatial data, surveys, and social media. The location recommendations are
displayed in the form of an interactive digital map with visualizations of the suitability level to facilitate decision
making.
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