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All Journal Pena Teknik : Jurnal Ilmiah Ilmu-ilmu Teknik Bandar: Journal of Civil Engineering
Khatiran, Hamdan
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

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Spatial Modeling of MSME Risk Based on Webgis with The Integration of Multidimensional Factor Analysis in Majene Regency Deril, Virda Evi Yanti; Astinawaty; Mahful, Rafid; Mujahid, Laode Muh. Asfan; Khatiran, Hamdan; Nurhalisa
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 11 NUMBER 1 MARCH 2026
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/pgr6ey93

Abstract

This research investigates and maps potential risks for Micro, Small, and Medium Enterprises (MSMEs) in Majene Regency, analyzing aspects of Human Resources (HR), capital, production, marketing, and law/legality. MSMEs are crucial to the regional economy , but they often face significant risks that hinder growth. This problem is worsened by a lack of spatial understanding of these vulnerabilities , which makes government interventions and development initiatives less effective. This study aims to spatially model and map MSME risks by integrating multidimensional factor analysis with WebGIS. The methodology involves four stages: (1) acquiring primary and secondary data related to the five risk dimensions; (2) using descriptive statistical and cluster analysis to categorize MSMEs; (3) applying risk factor scoring and weighting analysis to determine potential risk levels ; and (4) developing spatial modeling and GIS for risk visualization. The research results in a classification of MSMEs based on risk levels (high, medium, low), which is presented on a WebGIS platform to allow interactive spatial visualization. The findings are intended to provide a basis for more informed decision-making in the development of MSMEs in Majene Regency.
Land Suitability Analysis for the Development of Bathing Tourism Based on Biophysical and Social Parameters in Kunyi Village, Polewali Mandar Regency Tasrif, Ali Akbar; Adyla Suriadi, Nur; Alfa Reza, Muhammad; Rahman Syatar, Mahfuzur; Khatiran, Hamdan
BANDAR: JOURNAL OF CIVIL ENGINEERING Vol. 8 No. 1 (2026): Bandar: Journal of Civil Engineering
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/bjce.v8i1.6376

Abstract

Kunyi Village in Anreapi District, Polewali Mandar Regency, has promising potential for natural bathing tourism, particularly in the Patipo and Kampung Rumede areas. This potential is reflected in its rocky river character, relatively clear water, comfortable water temperature, good accessibility, and the availability of basic facilities and community support. This study aims to analyze land suitability for the development of bathing tourism based on biophysical and social parameters in Kunyi Village. The study employed a descriptive quantitative approach supported by qualitative analysis. The analysis used a scoring and weighting method applied to biophysical parameters, namely water depth, current velocity, clarity, temperature, and pH, as well as social parameters including accessibility, supporting facilities, and community perception. The results indicate that the land suitability level ranges from 70% to 88%, which falls into the suitable (S2) to highly suitable (S1) categories. The most supportive parameters are current velocity, temperature, pH, and accessibility. Meanwhile, the main limiting factors are variations in river depth across segments and limited sanitation facility capacity during peak visitation periods. The study concludes that Kunyi Village is feasible to be developed as a bathing tourism destination, provided that zoning, sanitation facilities, safety measures, and community-based management are strengthened to ensure safe and sustainable tourism development.
Co-Authors Adyla Suriadi, Nur Alfa Reza, Muhammad Astinawaty Deril, Virda Evi Yanti Mahful, Rafid Mujahid, Laode Muh. Asfan Nurhalisa Rahman Syatar, Mahfuzur Tasrif, Ali Akbar