Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Digital Business and Innovation Management
Mega Puspita Trianjani
Universitas Negeri Makassar
Decision Sciences, Operations Research & Management Library & Information Science

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

Found 1 Documents
Search

 1 
Implementation of Hotspot Analysis Using the Kernel Density Estimation (KDE) Algorithm for WebGIS-Based Visualization of Culinary MSME Businesses: A Case Study of Makassar City Mega Puspita Trianjani; Syamsu Alam; muhammad ashdaq
Journal of Digital Business and Innovation Management Vol. 5 No. 1 (2026): June 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdbim.v5i1.73813

Abstract

This study addresses the challenge of mapping the potential of culinary MSMEs (Micro, Small, and Medium Enterprises) in Makassar City by developing an interactive WebGIS-based visualization system. Using a Research and Development (R&D) approach, location data obtained from OpenStreetMap (OSM) were analyzed using the Kernel Density Estimation (KDE) algorithm to identify business hotspots. The findings reveal clear spatial concentration patterns, with the highest hotspot intensities located in the districts of Panakkukang, Rappocini, and Tamalate. A key contribution of this research is the identification of a substantial digital gap, as approximately 94% of officially registered MSMEs are not represented on digital map platforms. In response, the developed WebGIS system fulfills a dual role: it functions as an analytical tool for assessing business potential and as a strategic diagnostic instrument to support more targeted MSME digitalization initiatives.
Co-Authors Muhammad Ashdaq Syamsu Alam