Analysis of Flood Susceptibility  in Pati Regency Using Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP)

Mohammad Obie Restianto; Aris Poniman; Makmur Supriyatno

doi:10.55227/ijhess.v3i5.849

Authors

Mohammad Obie Restianto Republic of Indonesia Defense University
Aris Poniman Republic of Indonesia Defense University
Makmur Supriyatno Republic of Indonesia Defense University

DOI:

https://doi.org/10.55227/ijhess.v3i5.849

Abstract

Floods are disasters that often occur in Indonesia. Society and the environment feel the negative impacts of flooding. Floods are ranked as the second most frequent disaster in Indonesia according to the Indonesian Disaster Information Data (DIBI) from the National Disaster Management Agency (BNPB). This research aims to conduct a flood susceptibility analysis in Pati Regency. The method used in this research is Analytical Hierarchy Process (AHP) combined with Geographic Information Systems (GIS). This research uses ten factors that influence flood susceptibility, there are Topographic Wetness Index (TWI), Elevation, Slope, Precipitation, Land Use and Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), Distance from Rivers, Distance from Roads, Drainage Density, and Soil Type. The results of this research show that there are four levels of flood susceptibility in Pati Regency, there are low level reaching 3.47%, moderate level reaching 64.85%, high level reaching 31.62%, and very high level reaching 0.07%.

References

Andhesta, M. R., & Rahayu, S. (2017). Kajian Risiko Banjir Di Kabupaten Pati Berbasis Sistem Informasi Geografis. Jurnal Teknik PWK (Perencanaan Wilayah Kota) Vol 6(3), 2017.

Handayani, W., Chigbu, U. E., Rudiarto, I., & Putri, I. H. S. (2020). Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management. Land, 9(10), 343. https://doi.org/10.3390/land9100343

Karra, K., Kontgis, C., Statman-Weil, Z., Mazzariello, J. C., Mathis, M., & Brumby, S. P. (2021). Global land use / land cover with Sentinel 2 and deep learning. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4704–4707. https://doi.org/10.1109/IGARSS47720.2021.9553499

Marfai, M. A., King, L., Sartohadi, J., Sudrajat, S., Budiani, S. R., & Yulianto, F. (2008). The impact of tidal flooding on a coastal community in Semarang, Indonesia. The Environmentalist, 28(3), 237–248. https://doi.org/10.1007/s10669-007-9134-4

Marhendi, T., Wardhana, P. N., Nurhadi, S., & Ap, I. (n.d.). Analisis Penyebab Banjir Kali Juana. Techno, p - ISSN 1410 – 8607, e - ISSN 2579-9096 Volume 18 No. 1, April 2017 Hal. 015 – 022.

Matondang, J. P., Kahar, I. S., Si, M., & Sasmito, B. (2013). Analisis Zonasi Daerah Rentan Banjir Dengan Pemanfaatan Sistem Informasi Geografis. Jurnal Geodesi Undip. Volume 2, No 2,2013.

OpenTopography. (2013). Shuttle Radar Topography Mission (SRTM) Global. https://doi.org/10.5069/G9445JDF

Osman, S. A., & Das, J. (2023). GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia. SN Applied Sciences, 5(5), 134. https://doi.org/10.1007/s42452-023-05360-5

Rahmanizah, T., Kantun, S., Mujib, M. A., Yushardi, Y., & Pangastuti, E. I. (2023). Analisis Tingkat Kerawanan Banjir Bandang dengan Metode Analytical Hierarchy Process di Kecamatan Panti Kabupaten Jember. Majalah Pembelajaran Geografi, 6(1), 22. https://doi.org/10.19184/pgeo.v6i1.37731

Rudiarto, I., Handayani, W., & Sih Setyono, J. (2018). A Regional Perspective on Urbanization and Climate-Related Disasters in the Northern Coastal Region of Central Java, Indonesia. Land, 7(1), 34. https://doi.org/10.3390/land7010034

Savitri, E., Adi, R., Putra, P., & Indrajaya, Y. (2022). Watershed Management Approach As An Alternative Solution For Flood Problem In Northern Part Of Central Java (Pendekatan Pengelolaan DAS Sebagai Alternatif Solusi Masalah Banjir di Jawa Tengah Utara). Jurnal Penelitian Pengelolaan Daerah Aliran Sungai, 6(1), 21–38. https://doi.org/10.20886/jppdas.2022.6.1.21-38

Sebastian, L. (2008). Pendekatan Pencegahan Dan Penanggulangan Banjir. Dinamika Teknik Sipil, Vol 8, No 2, Juli 2008 : 162 – 169 8.

Septian, A., Sabri, L. M., & Hadi, F. (2023). Implementasi Metode Fuzzy Analytical Hierarchy Process Dalam Pembuatan Peta Ancaman Banjir (Studi Kasus: Kota Bekasi, Jawa Barat). Jurnal Geodesi Undip. Vol.12, No. 3,2023. (ISSN : 2809-9672).

Swain, K. C., Singha, C., & Nayak, L. (2020). Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud. ISPRS International Journal of Geo-Information, 9(12), 720. https://doi.org/10.3390/ijgi9120720

Tolosa, A. T., Teka, A. H., & Belay, B. S. (2019). Distribution of soil erosion sensitive area in Guna-Tana watershed, Blue Nile, Basin Ethiopia. Nigerian Journal of Technological Research, 14(2), 18. https://doi.org/10.4314/njtr.v14i2.3