Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Intelligent Decision Support System (IDSS)
Mulkan Azhari
Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
Computer Science & IT

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

Found 1 Documents
Search

 1 
A geographic information system-based decision support system for optimizing the use of business space using the analytical hierarchy process method Fitra Ikhsani; Mulkan Azhari
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 3 (2026): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v9i3.377

Abstract

The rapid growth of commercial activities in Medan Tembung District has intensified competition for limited business spaces, making business location selection a complex multi-criteria decision-making problem. Although the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) have been widely applied in location selection studies, their integration into a unified decision-support framework for optimizing commercial space utilization remains limited. This study proposes a web-based Decision Support System (DSS) that integrates AHP and GIS to provide objective evaluation and spatial visualization of alternative business locations. A quantitative approach was employed using expert judgments for AHP pairwise comparisons and spatial data obtained from official government sources. The analysis identified Rental Cost (44.25%) as the most influential decision criterion, and the consistency evaluation yielded a Consistency Ratio (CR) of 0.0805, confirming the reliability of the expert judgments. The integrated AHP–GIS analysis ranked Jl. Tuasan as the most suitable business location with a final priority score of 0.6308. The main contribution of this study is the development of an integrated GIS–AHP framework that combines multi-criteria decision analysis with spatial intelligence in a single web-based platform. The proposed system provides transparent and evidence-based recommendations for business location selection and offers practical support for entrepreneurs and local governments in commercial land management, spatial planning, and sustainable urban development.
Co-Authors Fitra Ikhsani