Flood Vulnerability and Resiliency in Coastal Areas Based on Geographic Information Systems (GIS) and Dynamic

Retno Tri Nalarsih (1), Henny Herawati (2), Eny Dyah Yuniwati (3), M. Adri Budi Sulistyo (4), Taufikkurrahman (5), Mudjiastuti Handajani (6)
(1) Civil Engineering Department, Veteran Bantara Sukoharjo University, Sukoharjo, 57521, Indonesia
(2) Civil Engineering Department, Tanjungpura University, Jl. Prof. Dr.Hadari Nawawi Pontianak, 78124, Indonesia
(3) Agrotechnology Department, Faculty of Agriculture, Wisnuwardhana University, Malang, 65154, Indonesia
(4) Agrotechnology Department, Faculty of Agriculture, Wisnuwardhana University, Malang, 65154, Indonesia
(5) Civil Engineering Department, Faculty of Engineering, Wisnuwardhana University, Malang, 65154, Indonesia
(6) Civil Engineering Department, Faculty of Engineering, Semarang University, Semarang, 50196, Indonesia
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How to cite (IJASEIT) :
Nalarsih, Retno Tri, et al. “Flood Vulnerability and Resiliency in Coastal Areas Based on Geographic Information Systems (GIS) and Dynamic”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 1, Feb. 2024, pp. 81-88, doi:10.18517/ijaseit.14.1.19339.
Floods are a disaster that is very detrimental and has an extensive impact, so it needs to be managed. GIS conducted this research and a dynamic system to model flood hazards and vulnerabilities in Kijang, Bintan City, and analyze flood hazards and vulnerabilities, so the purpose of this research is to map Flood Vulnerability and Resilience in Coastal Areas. The method used in this research is the Qualitative Descriptive method. Qualitative Descriptive Analysis of Survey Data and Interviews with the Community The interview data is used to validate the flood hazard analysis. Superimpose analysis using GIS, resulting in the condition of each indicator. To obtain the infiltration map, rainfall data processing, contour maps, and soil type maps are needed. Using weighting and scoring, vulnerability analysis was then analyzed, resulting in a flood-prone map. The results of this study show that high inundation caused by uncontrolled land use and flood hazards strongly influences flood proneness when the regulations are implemented or adhered to. Scenarios 1 and 2 from human resources analyzed the policy's application of Regional Regulations, which significantly regulate land use control. Local regulations are vital in regulating land use control; therefore, less flood vulnerability will occur when implemented or adhered to. Contributed to the state of mind of local regulations by providing a clearer definition and understanding, the assessment will help develop detailed risk reduction, mitigation, and management plans in determining more appropriate flood resilience indicators for policymakers.

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