Geospatial Analysis-Based Tidal Flood Vulnerability Mapping in the Coastal Area of Sungai Kakap District, Kubu Raya Regency
DOI:
10.29303/jppipa.v12i10.15762Published:
2026-10-02Downloads
Abstract
Tidal flooding has become an increasingly significant environmental hazard in coastal areas. This study aims to: (1) identify the spatial characteristics of tidal flooding in the coastal area, (2) analyze the spatial factors influencing tidal flood vulnerability; (3) assess the level of tidal flood vulnerability using geospatial analysis; and (4) propose adaptation strategies based on the resulting vulnerability patterns. The analysis includes eight key variables: slope gradient, elevation, distance to the coastline, distance to the river, Topographic Moisture Index (TWI), soil type, rainfall, and land use. The spatial datasets were processed in a Geographic Information System (GIS) environment and integrated using a multi-criteria spatial analysis approach to generate a tidal flood vulnerability map. The results showed that vulnerability to tidal flooding was strongly associated with low elevation, gentle slopes, proximity to the coastline and river network, high TWI values, poorly drained alluvial soils, high rainfall intensity, and land use dominated by settlements, fish farming ponds, and agricultural land. The vulnerability assessment classified the study area into five categories: very high (5,717 ha; 12.62%), high (7,919 ha; 17.47%), moderate (5,515 ha; 12.17%), low (2,404 ha; 5.30%), and very low (23,762 ha; 52.44%). Areas with high and very high vulnerability were concentrated in lowland coastal zones and riverine environments. Adaptation strategies include strengthening coastal protection, improving drainage infrastructure, implementing ecosystem-based coastal management, regulating land use in vulnerable areas, and enhancing community-based disaster preparedness. This study demonstrates the effectiveness of geospatial analysis to support tidal flood risk reduction and sustainable coastal planning.
Keywords:
Coastal areas Geospatial analysis GIS Spatial factors Sungai Kakap regency Tidal flood vulnerabilityReferences
Ahmad, K. K., Putri, K. A., Wilujeung, A. D., Lestari, D. A., & Arifin, W. A. (2021). Status Sebaran dan Kerapatan Kanopi Mangrove di Pulau Tobea Besar Sulawesi Tenggara Menggunakan Data Satelit Landsat 8. Pena Akuatika: Jurnal Ilmiah Perikanan dan Kelautan, 20(2). https://doi.org/10.31941/penaakuatika.v20i2.1363 DOI: https://doi.org/10.31941/penaakuatika.v20i2.1363
Ahmad, T. E., Rais, A., Azhari, D. R., Lestari, D. A., & Arifin, W. A. (2021). Penggunaan Iso Cluster Unsupervised Classification dalam Mengenali Garis Pantai, Studi Kasus: Rarowatu Utara, Sulawesi Tenggara. Seminar Nasional Ilmu Komputer (SNASIKOM), 1(1), 53–69. Retrieved from https://proceeding.unived.ac.id/index.php/snasikom/article/view/52
Andika, I. P. A., Tambunan, M. P., & Marko, K. (2021). Spatial Pattern Change of Land use Change in Tidal Flood Area of the Coast of Cirebon Regency. IOP Conference Series: Earth and Environmental Science, 846(1), 12025. https://doi.org/10.1088/1755-1315/846/1/012025 DOI: https://doi.org/10.1088/1755-1315/846/1/012025
Arita, K. T. M., Mulia, A. P., & Nasution, Z. P. (2025). Tidal Flood Mapping Model in North Medan Region using Ordinal Logistic Regression and GIS (Geographical Information System). Bulletin of Engineering Science, Technology and Industry, 3(2), 200–208. https://doi.org/10.59733/besti.v3i2.105
Bilskie, M. V, & Hagen, S. C. (2018). Defining Flood Zone Transitions in Low‐Gradient Coastal Regions. Geophysical Research Letters, 45(6), 2761–2770. https://doi.org/10.1002/2018GL077524 DOI: https://doi.org/10.1002/2018GL077524
BPS. (2024). Kecamatan Sungai Kakap dalam Angka. Badan Statistik Kalbar.
Choubin, B., Moradi, E., Golshan, M., Adamowski, J., Sajedi-Hosseini, F., & Mosavi, A. (2019). An Ensemble Prediction of Flood Susceptibility using Multivariate Discriminant Analysis, Classification and Regression Trees, and Support Vector Machines. Science of the Total Environment, 651, 2087–2096. https://doi.org/10.1016/j.scitotenv.2018.10.064 DOI: https://doi.org/10.1016/j.scitotenv.2018.10.064
Damayanti, H. N., Wikan, P. A., & Annurhutami, F. (2024). GIS-Based Flood Susceptibility Mapping in Wawar Watershed, Purworejo Regency. IOP Conference Series: Earth and Environmental Science, 1314(1), 12051. https://doi.org/10.1088/1755-1315/1314/1/012051 DOI: https://doi.org/10.1088/1755-1315/1314/1/012051
Gasa, A. M. M., & Lasminto, U. (2025). The Impact of Tide on Flooding in the Kali Welang, Pasuruan, East Java. Journal of Civil Engineering, 40(3), 303–318. https://doi.org/10.12962/j20861206.v40i3.9322 DOI: https://doi.org/10.12962/j20861206.v40i3.9322
Gesch, D. B. (2018). Best Practices for Elevation-Based Assessments of Sea-Level Rise and Coastal Flooding Exposure. Frontiers in Earth Science, 6, 230. https://doi.org/10.3389/feart.2018.00230 DOI: https://doi.org/10.3389/feart.2018.00230
Hamuna, B., Sari, A. N., & Alianto, A. (2018). Kajian Kerentanan Wilayah Pesisir Ditinjau dari Geomorfologi dan Elevasi Pesisir Kota dan Kabupaten Jayapura, Provinsi Papua. Jurnal Wilayah dan Lingkungan, 6(1), 1–14. https://doi.org/10.14710/jwl.6.1.1-14 DOI: https://doi.org/10.14710/jwl.6.1.1-14
Hidayah, E., Indarto, Lee, W.-K., Halik, G., & Pradhan, B. (2022). Assessing Coastal Flood Susceptibility in East Java, Indonesia: Comparison of Statistical Bivariate and Machine Learning Techniques. Water, 14(23), 3869. https://doi.org/10.3390/w14233869 DOI: https://doi.org/10.3390/w14233869
Hoitink, A. J. F., & Jay, D. A. (2016). Tidal River Dynamics: Implications for Deltas. Reviews of Geophysics, 54(1), 240–272. https://doi.org/10.1002/2015RG000507 DOI: https://doi.org/10.1002/2015RG000507
Huang, P. C. (2022). An Effective Alternative for Predicting Coastal Floodplain Inundation by Considering Rainfall, Storm Surge, and Downstream Topographic Characteristics. Journal of Hydrology, 607, 127544. https://doi.org/10.1016/j.jhydrol.2022.127544 DOI: https://doi.org/10.1016/j.jhydrol.2022.127544
Lestari, D. A., Fitriasari, N. S., Ahmad, T. E., Rais, A., & Azhari, D. R. (2021). Spatial Analysis on Tsunami Predictions in Pandeglang Regency. Forum Geografi, 35(1), 103–115. https://doi.org/10.23917/forgeo.v35i1.12367 DOI: https://doi.org/10.23917/forgeo.v35i1.12367
Li, Z., Mount, J., & Demir, I. (2020a). Evaluation of Model Parameters of HAND Model for Real-Time Flood Inundation Mapping: Iowa Case Study. eartharxiv.org. Retrieved from https://eartharxiv.org/repository/object/127/download/262/.
Li, Z., Mount, J., & Demir, I. (2020b). Model Parameter Evaluation and Improvement for Real-Time Flood Inundation Mapping Using HAND Model: Iowa Case Study. eartharxiv.org. Retrieved from https://eartharxiv.org/hqpzg/. https://doi.org/10.31223/OSF.IO/HQPZG DOI: https://doi.org/10.31223/OSF.IO/HQPZG
Liu, D., Kang, Y., Feng, J., Liu, C., Lian, C., Li, X., & Xue, Z. G. (2026). Amplified Tides and Seawater Intrusion: A New Challenge of Sea-Level Rise. Science Bulletin. https://doi.org/10.1016/j.scib.2026.01.012 DOI: https://doi.org/10.1016/j.scib.2026.01.012
Mehr, A. D., & Akdegirmen, O. (2021). Estimation of Urban Imperviousness and Its Impacts on Flashfloods in Gazipaşa, Turkey. Knowledge-Based Engineering and Sciences, 2(1), 9–17. https://doi.org/10.51526/kbes.2021.2.1.9-17 DOI: https://doi.org/10.51526/kbes.2021.2.1.9-17
Muhammad, I. N., Sarpono, S., Wibowo, A., Setiawibawa, R., & Kurniadi, A. (2025). Linking Land Cover to Flood Vulnerability: A Study on Vegetation Indices and Urban Build-Up in Hazard Mapping. Journal of Geographical Sciences and Education, 3(2), 129–140. https://doi.org/10.69606/geography.v3i2.224 DOI: https://doi.org/10.69606/geography.v3i2.224
Mumbai, G. (2020). Frequency Ratio and Fuzzy Gamma Operator Models in GIS : A Case Study of Urban Flood Susceptibility Zonation Mapping using Evidential Belief Function , Frequency Ratio and Fuzzy Gamma Operator Models in GIS : A Case Study of Greater Mumbai , Maharashtra. Geocarto International, 0(0), 1–26. https://doi.org/10.1080/10106049.2020.1730448
Nahib, I., Ambarwulan, W., Rahadiati, A., Munajati, S. L., Prihanto, Y., Suryanta, J., ... & Nuswantoro, A. C. (2021). Assessment of the impacts of climate and LULC changes on the water yield in the Citarum River Basin, West Java Province, Indonesia. Sustainability, 13(7), 3919. https://doi.org/10.3390/su13073919 DOI: https://doi.org/10.3390/su13073919
Narendra, B. H., Siringoringo, H. H., & Siregar, C. A. (2017). GIS Based Flood Hazard and Vulnerability Mapping: A Case Study of Tidal and River Floods in Downstream of Ciasem Watershed, Subang-West Java. Indonesian Journal of Forestry Research, 4(1), 37–48. https://doi.org/10.59465/ijfr.2017.4.1.37-48 DOI: https://doi.org/10.59465/ijfr.2017.4.1.37-48
Pourali, S. H., Arrowsmith, C., Chrisman, N., Matkan, A. A., & Mitchell, D. (2018). Topography Wetness Index Application in Flood-Risk-Based Land use Planning. Applied Spatial Analysis and Policy, 9, 39–54. https://doi.org/10.1007/s12061-014-9130-2 DOI: https://doi.org/10.1007/s12061-014-9130-2
Pratama, R. B., Astuti, S. C., Pradipta, F. A., Shahira, S. N. N., & Santoso, E. B. (2026). Disaster Risk Management of Tidal Inundation in Coastal Surabaya: A Spatial and Institutional Approach. IOP Conference Series: Earth and Environmental Science, 1586(1), 12034. https://doi.org/10.1088/1755-1315/1586/1/012034 DOI: https://doi.org/10.1088/1755-1315/1586/1/012034
Purwanto, A., & Paiman, P. (2023). Flood Risk Spatial Modeling Based on Geographical Information Systems and Remote Sensing in the Pemangkat Regensi. Jurnal Penelitian Pendidikan IPA, 9(11), 9554–9563. https://doi.org/10.29303/jppipa.v9i11.5264 DOI: https://doi.org/10.29303/jppipa.v9i11.5264
Purwanto, A., Rustam, R., Andrasmoro, D., & Eviliyanto, E. (2022). Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area. Indonesian Journal of Geography, 54(3). https://doi.org/10.22146/ijg.69879 DOI: https://doi.org/10.22146/ijg.69879
Ramesh, V., & Iqbal, S. S. (2022). Urban Flood Susceptibility Zonation Mapping Using Evidential Belief Function, Frequency Ratio and Fuzzy Gamma Operator Models in GIS: A Case Study of Greater Mumbai, Maharashtra, India. Geocarto International, 37(2), 581–606. https://doi.org/10.1080/10106049.2020.1730448 DOI: https://doi.org/10.1080/10106049.2020.1730448
Riadi, B. (2018). Model Spasial Banjir untuk Mendukung Ketersediaan Pangan di Kabupaten Karawang. Retrieved from https://repository.ipb.ac.id/handle/123456789/99947
Rosser, J. F., Leibovici, D. G., & Jackson, M. J. (2017). Rapid Flood Inundation Mapping Using Social Media, Remote Sensing and Topographic Data. In Natural Hazards. Springer. https://doi.org/10.1007/s11069-017-2755-0. DOI: https://doi.org/10.1007/s11069-017-2755-0
Saravanan, S., Abijith, D., Reddy, N. M., Kss, P., Janardhanam, N., Sathiyamurthi, S., & Sivakumar, V. (2023). Flood Susceptibility Mapping Using Machine Learning Boosting Algorithms Techniques in Idukki District of Kerala India. Urban Climate, 49, 101503. https://doi.org/10.1016/j.uclim.2023.101503 DOI: https://doi.org/10.1016/j.uclim.2023.101503
Sayama, T., Tatebe, Y., Iwami, Y., & Tanaka, S. (2015). Hydrologic Sensitivity of Flood Runoff and Inundation: 2011 Thailand Floods in the Chao Phraya River Basin. Natural Hazards and Earth System Sciences, 15(7), 1617–1630. https://doi.org/10.5194/nhess-15-1617-2015 DOI: https://doi.org/10.5194/nhess-15-1617-2015
Sermet, Y., Villanueva, P., Sit, M. A., & Demir, I. (2020). Crowdsourced Approaches for Stage Measurements at Ungauged Locations Using Smartphones. Hydrological Sciences Journal, 65(5), 813–822. https://doi.org/10.1080/02626667.2019.1659508 DOI: https://doi.org/10.1080/02626667.2019.1659508
Shen, Y., Morsy, M. M., Huxley, C., Tahvildari, N., & Goodall, J. L. (2019). Flood Risk Assessment and Increased Resilience for Coastal Urban Watersheds Under the Combined Impact of Storm Tide and Heavy Rainfall. Journal of Hydrology, 579, 124159. https://doi.org/10.1016/j.jhydrol.2019.124159 DOI: https://doi.org/10.1016/j.jhydrol.2019.124159
Singh, Y. K., Dutta, U., Prabhu, T. S. M., Prabu, I., Mhatre, J., Khare, M., Srivastava, S., & Dutta, S. (2017). Flood Response System—A Case Study. Hydrology, 4(2), 30. https://doi.org/10.3390/hydrology4020030 DOI: https://doi.org/10.3390/hydrology4020030
Sugianto, S., Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022). The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya. Land, 11(8), 1271. https://doi.org/10.3390/land11081271 DOI: https://doi.org/10.3390/land11081271
Sutrisno, D., Rahadiati, A., Rudiastuti, A. W., & Dewi, R. S. (2020). Urban Coastal Flood-Prone Mapping Under the Combined Impact of Tidal Wave and Heavy Rainfall: A Proposal to the Existing National Standard. ISPRS International Journal of Geo-Information, 9(9), 525. https://doi.org/10.3390/ijgi9090525 DOI: https://doi.org/10.3390/ijgi9090525
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017). Flood Inundation Modelling: A Review of Methods, Recent Advances and Uncertainty Analysis. Environmental Modelling & Software, 90, 201–216. https://doi.org/10.1016/j.envsoft.2017.01.006 DOI: https://doi.org/10.1016/j.envsoft.2017.01.006
Tikuye, B., Ray, R., Abeysingha, N. S., & Gurau, S. (2025). Integrating Multi-Criteria Decision Analysis and Geospatial Data for Flood Susceptibility Mapping in Texas, USA. Progress in Disaster Science, 100462. https://doi.org/10.1016/j.pdisas.2025.100462 DOI: https://doi.org/10.1016/j.pdisas.2025.100462
Tomás, L. R., Soares, G. G., Jorge, A. A. S., Mendes, J. F., Freitas, V. L. S., & Santos, L. B. L. (2022). Flood Risk Map from Hydrological and Mobility Data: A Case Study in São Paulo (Brazil). Transactions in GIS, 26(5), 2341–2365. https://doi.org/10.1111/tgis.12962 DOI: https://doi.org/10.1111/tgis.12962
Van Coppenolle, R., & Temmerman, S. (2019). A Global Exploration of Tidal Wetland Creation for Nature-Based Flood Risk Mitigation in Coastal Cities. Estuarine, Coastal and Shelf Science, 226, 106262. https://doi.org/10.1016/j.ecss.2019.106262 DOI: https://doi.org/10.1016/j.ecss.2019.106262
Wang, Z., Chen, X., Qi, Z., & Cui, C. (2023). Flood Sensitivity Assessment of Super Cities. Scientific Reports, 13(1), 5582. https://doi.org/10.1038/s41598-023-32149-8 DOI: https://doi.org/10.1038/s41598-023-32149-8
Xu, H., Windsor, M., Muste, M., & Demir, I. (2020). A Web-Based Decision Support System for Collaborative Mitigation of Multiple Water-Related Hazards Using Serious Gaming. Journal of Environmental Management, 255, 109887. https://doi.org/10.1016/j.jenvman.2019.109887 DOI: https://doi.org/10.1016/j.jenvman.2019.109887
Yildirim, E., & Demir, I. (2021). An Integrated Flood Risk Assessment and Mitigation Framework: A Case Study for Middle Cedar River Basin, Iowa, US. International Journal of Disaster Risk Reduction, 56, 102113. https://doi.org/10.1016/j.ijdrr.2021.102113 DOI: https://doi.org/10.1016/j.ijdrr.2021.102113
Yonehara, S., & Kawasaki, A. (2020). Assessment of the Tidal Effect on Flood Inundation in a Low‐Lying River Basin Under Composite Future Scenarios. Journal of Flood Risk Management, 13(3), e312606. https://doi.org/10.1111/jfr3.12606 DOI: https://doi.org/10.1111/jfr3.12606
Zhou, H., Liu, J., Gao, C., Li, W., Ou, S., Zhou, Y., & Luan, Q. (2025). Copula-Based Joint Impact Assessment of Rainfall and Tidal Level on Flood Risk in Tidal-Influenced Plain River Network Areas, Taihu Lake Basin. Journal of Hydrology, 653, 132785. https://doi.org/10.1016/j.jhydrol.2025.132785 DOI: https://doi.org/10.1016/j.jhydrol.2025.132785
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