Analysis of Flood Disaster Risk Factors with Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) Methods in Bekasi City, West Java, Indonesia
Analysis of Flood Disaster Risk Factors with Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) Methods in Bekasi City, West Java, Indonesia |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-4 |
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| Year of Publication : 2023 | ||
| Author : Ajeng Sekarkirana Pramesti Kameswara, Suharjito |
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| DOI : 10.14445/22315381/IJETT-V71I4P233 | ||
How to Cite?
Ajeng Sekarkirana Pramesti Kameswara, Suharjito, "Analysis of Flood Disaster Risk Factors with Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) Methods in Bekasi City, West Java, Indonesia" International Journal of Engineering Trends and Technology, vol. 71, no. 4, pp. 371-386, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I4P233
Abstract
Typically, flood catastrophes in Bekasi City occur during the rainy season, particularly when persistent heavy rains fall. In addition to the high precipitation factor, numerous additional criteria are used. This research aims to identify the primary factors contributing to flooding in Bekasi City by analyzing the hierarchical process (AHP), determining the fraction of flood-prone regions, mapping them using GIS and AHP spatial analysis, and examining ways to mitigate flood catastrophes. Used the BPMSG process-based AHP analysis to determine the most important precipitation components and the ArcMap overlay function to generate a probability rainfall map for the city of Bekasi. This research utilizes a computerized Bekasi city map, rainfall data, land area data, land use data, population data, and expert opinion. This research investigates the most prevalent causes of flooding, forecasts the possibility of flooding in Bekasi City, and suggests methods for reducing the frequency and severity of flooding. Conclusion: Changes in land use (18.8033%), drainage problems (18.4025%), rainfall patterns (16.9454%), changes in elevation (13.8748%), soil types (12.9074%), population density (9.7221%), waterlogging (9.3445%), and rivers (9.3445%) are the primary causes of bad weather, with extremely high waterlogging levels (area 7.707437 square kilometers or 3.6030160 square miles). Therefore, by developing productive land in Bekasi, the government can reduce the frequency and intensity of floods, reducing slum dwellers. Land planning in conjunction with building standards, infrastructure, and design techniques can significantly reduce the vulnerability of people and urban activities, improvement, deployment, deploy and deepening of various aquifers of water infrastructure systems.
Keywords
Bekasi City, AHP, GIS, Flood, Risk.
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