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Journal : Journal of Green Science and Technology

Evaluation of Temporary Evacuation Shelter (Tes) For Tsunami In Banggae Timur, Majene Based on Location-Allocation Analysis Erwin, Muh. Alfarezi; Priadmodjo, Anggit; Munaja, Rahmiyatal; Mulawarman, Ade; Mukhlis, Jafar; Wahyudi, Adip
Journal of Green Science and Technology Vol 9 No 2 (2025): Journal of Green Science and Technology Vol. 9 No.2 September 2025
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v9i2.10638

Abstract

Majene Regency, specifically the Banggae Timur District, is at considerable risk of tsunamis due to its coastal location and increasing urban density. This research evaluates the effectiveness of current Temporary Evacuation Shelters (TES) using a spatial analysis methodology combined with location-allocation modeling. The methodology included tsunami inundation mapping utilizing historical data, identification of building points, analysis of TES capacity, and modeling of service areas within a maximum evacuation radius of 935 meters.The study concentrated on two specific TES: Prasamya Stadium and the Majene Regency Police Station. Although both locations possess adequate capacity for hosting evacuees, they are situated within high-risk tsunami inundation zones (5–6 meters), making them inappropriate for safe evacuation. Spatial allocation modeling indicates that these TES predominantly serve the western section of Banggae Timur District, resulting in considerable underservicing of eastern coastal areas and increased risk. Of the 2,774 houses located within the tsunami inundation zone, 1,506 are currently unserved by the existing TES. The findings highlight the necessity of identifying and establishing new TES in safer, elevated areas with enhanced accessibility to improve evacuation coverage and safety. This study emphasizes the importance of spatial modeling in enhancing evidence-based disaster mitigation planning. It offers precise, data-driven insights for optimizing emergency infrastructure and minimizing population risk exposure in urban areas susceptible to tsunamis.
Spatial Statistic Modeling for Rice Field Area Prediction Year 2026 to 2030 in Polewali Mandar Regency Mulawarman, Ade; Utami A, Widyanti; Priadmodjo, Anggit; Munaja, Rahmiyatal; Erwin, Muh. Alfarezi; Al-faridzi, Muh. Reza
Journal of Green Science and Technology Vol 10 No 1 (2026): Journal of Green Science and Technology Vol. 10 No.1 March 2026
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v10i1.11646

Abstract

The sustainability of rice fields is fundamental to maintaining regional food security, particularly in agricultural production centers such as Polewali Mandar Regency, West Sulawesi, Indonesia. Rapid population growth and spatial development have intensified pressure on productive agricultural land, increasing the risk of long-term decline in rice field availability. This study develops a spatial statistical modeling framework to predict the distribution of rice field conversion for the period 2026–2030 using an integration of Frequency Ratio (FR) and Spatial Multi-Criteria Analysis (SMCA) within a Geographic Information System (GIS) environment. Land cover data from 2010 and 2020 were used to identify historical conversion patterns and to construct predictive variables. Ten driving factors—including topography, slope, geomorphology, soil type, rainfall, accessibility, settlement characteristics, and spatial policy direction—were evaluated alongside protected agricultural zones as limiting constraints. Model validation using the Receiver Operating Characteristic (ROC) curve produced an AUC of 0.83 (success rate) and 0.75 (predictive rate), indicating good and reliable model performance. The projection results demonstrate continued pressure on rice field areas, particularly in zones influenced by infrastructure and settlement expansion. By providing spatially explicit predictions, this study offers a decision-support tool for proactive land-use regulation, agricultural protection policies, and strategic planning interventions aimed at safeguarding food self-sufficiency in the medium term.
GIS-Based Evaluation of The Integrated Waste Management Site in Sidodadi Village Al-Faridzi, Muh. Reza; Mulawarman, Ade; Priadmodjo, Anggit; Mukhlis, Jafar; Saputra, Ade Guna
Journal of Green Science and Technology Vol 10 No 1 (2026): Journal of Green Science and Technology Vol. 10 No.1 March 2026
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v10i1.11650

Abstract

This study evaluates the effectiveness of the Integrated Waste Management Facility (TPST) service in Sidodadi Sub-district, Wonomulyo District, Polewali Mandar Regency, using a spatial analysis approach based on the location–allocation method implemented in ArcGIS. The research is motivated by the high population density of Sidodadi, which has led to an increase in waste generation, while only a single TPST facility is currently operational. A quantitative descriptive method was applied, utilizing primary data from field observations and secondary spatial data, including building point data, road network data, and high-resolution satellite imagery. Spatial analysis was conducted by mapping waste generation at the building level, performing network-based distance analysis along the road network (as opposed to straight-line/Euclidean distance), and modeling TPST service coverage using a location– allocation model. The model parameters included a service distance cutoff of ≤ 1 km and facility capacity constraints based on the maximum number of households that can be served within a given facility. The results indicate that the existing TPST can serve approximately 600 households, corresponding to only about 15,84 % of the total residential buildings in Sidodadi Sub-district. Consequently, a significant proportion of densely populated residential areas remains outside the effective service coverage. This limited coverage is primarily influenced by insufficient facility capacity and service distances exceeding the defined cutoff. The study recommends the development of additional TPST facilities at strategically selected locations to increase service coverage percentage and enhance the efficiency and sustainability of waste management in Sidodadi Sub-district.