SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI SPBU MENGGUNAKAN MOOSRA

This study aims to develop a decision support system (DSS) based on the Multi-Objective Optimization on the basis of Simple Ratio Analysis (MOOSRA) method in determining the optimal location of Public Fuel Filling Stations (SPBU) in Kubu District, Rokan Hilir, Riau. The main issue faced is the selection of SPBU locations involving various criteria such as accessibility, population density, level of competition, potential for economic growth, and supporting facilities. The MOOSRA method was chosen because of its ability to manage various criteria objectively and systematically. In this study, an analysis of several alternative SPBU locations and calculations using a normalized matrix were carried out to produce location rankings. The results showed that the best alternative location was A3 with the highest ranking, followed by A4 and A1. By implementing MOOSRA-based DSS, the process of selecting SPBU locations in Kubu District, Rokan Hilir, Riau becomes more efficient and objective.

Authors

Publication Details

Journal
Jurnal Teknik Informasi dan Komputer (Tekinkom)
Published
2024-12-31
DOI
https://doi.org/10.37600/tekinkom.v7i2.1537
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
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article

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI SPBU MENGGUNAKAN MOOSRA

Angga Putra Juledi, Volvo Sihombing, Sinema Harefa
Jurnal Teknik Informasi dan Komputer (Tekinkom)
Computer Science and Engineering
article

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI SPBU MENGGUNAKAN MOOSRA

Angga Putra Juledi, Volvo Sihombing, Sinema Harefa
article en

Abstract

This study aims to develop a decision support system (DSS) based on the Multi-Objective Optimization on the basis of Simple Ratio Analysis (MOOSRA) method in determining the optimal location of Public Fuel Filling Stations (SPBU) in Kubu District, Rokan Hilir, Riau. The main issue faced is the selection of SPBU locations involving various criteria such as accessibility, population density, level of competition, potential for economic growth, and supporting facilities. The MOOSRA method was chosen because of its ability to manage various criteria objectively and systematically. In this study, an analysis of several alternative SPBU locations and calculations using a normalized matrix were carried out to produce location rankings. The results showed that the best alternative location was A3 with the highest ranking, followed by A4 and A1. By implementing MOOSRA-based DSS, the process of selecting SPBU locations in Kubu District, Rokan Hilir, Riau becomes more efficient and objective.

Jurnal Teknik Informasi dan Komputer (Tekinkom)Vol. 7(2)
Openalex Percentile: Top 74%
Computer Science and Engineering
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI SPBU MENGGUNAKAN MOOSRA — Angga Putra Juledi, Volvo Sihombing, et al. · Jurnal Teknik Informasi dan Komputer (Tekinkom) (2024) | TGRS Research Map | TGRS