Spatial Decision Support System to Determine the Feasibility of Evacuation Posts in Natural Disasters

Alviola, Nuril Afni, Almais, Agung Teguh Wibowo ORCID: https://orcid.org/0000-0001-7770-1954, Syauqi, A'la ORCID: https://orcid.org/0009-0005-8251-2935, Chamidy, Totok, Basid, Puspa Miladin Nuraida Safitri A ORCID: https://orcid.org/0000-0002-1324-1132, Anisa, Anisa and Wardana, M. Dafa (2025) Spatial Decision Support System to Determine the Feasibility of Evacuation Posts in Natural Disasters. JISKA (Jurnal Informatika Sunan Kalijaga), 10 (3). pp. 307-318. ISSN 2528-0074

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Abstract

This study aimed to improve the accuracy of determining the feasibility of evacuation posts after natural disasters using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) within a Spatial Decision Support System (SDSS). A dataset of 50 evacuation posts from the 2021 Mount Semeru eruption was analyzed. The Rank Order Centroid (ROC) method was applied for criteria weighting, and TOPSIS was used to process the data. Results showed 72% accuracy, confirming that TOPSIS is a passable method for assessing post-feasibility based on accessibility, sanitation, and refugee facilities. Although the focus is on evaluating post disaster evacuation posts, the system can be adapted for use in various other types of disasters. However, it is still dependent on historical data and lacks real-time adaptability. Future research can integrate Artificial Intelligence (AI) and Machine Learning (ML) with real-time data to improve decision-making in disaster management.

Item Type:	Journal Article
Keywords:	After Natural Disasters, Evacuation Posts, Management Disasters, Spatial Decision Support System, Technique For Order Preference By Similarity to Ideal Solution (TOPSIS)
Subjects:	04 EARTH SCIENCES > 0406 Physical Geography and Environmental Geoscience > 040699 Physical Geography and Environmental Geoscience not elsewhere classified 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	A'la Syauqi
Date Deposited:	21 Dec 2025 23:08

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