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Arief A. Soebroto
1) Doctoral Student in Department of Water Resources Engineering, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. 2) Department of Informatics, Faculty of Computer Science, University of Brawijaya, Malang,
Civil Engineering, Building, Construction & Architecture

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Modelling of Flood Hazard Early Warning Group Decision Support System Arief A. Soebroto; Lily M. Limantara; Ery Suhartanto; Moh. Sholichin
Civil Engineering Journal Vol 10, No 2 (2024): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-02-018

Abstract

Early warning of flood hazards needs to be carried out comprehensively to avoid a higher risk of disaster. Every decision on early warning of a flood hazard is carried out in part by one party, namely the government or water resource managers. This research aims to provide a collaborative decision-making model for early warning of flood hazards through a Group Decision Support System Model (GDSS), especially in Indonesia. The novelty of this research is that the GDSS model involves more than one decision-maker and multi-criteria decision-making for early warning of flood hazards in the downstream Kali Sadar River, Mojokerto Regency, East Java Province, Indonesia. The GDSS model was developed using a hybrid method, namely the Analytical Network Process (ANP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). There was more than one decision result; voting was carried out using the BORDA method to produce the decision. The test results of GDSS were obtained using a Spearman rank correlation coefficient of 0.8425 and matrix confusion, an accuracy value of 86.7%, a precision value of 86.7%, a recall value of 86.7%, and an f-measure of 86.7%. Based on the test results, good results were obtained from the GDSS model. Doi: 10.28991/CEJ-2024-010-02-018 Full Text: PDF
Co-Authors Ery Suhartanto Lily M. Limantara Moh. Sholichin