Analisis Spasial Kerawanan Banjir Bandang Berdasarkan Karakteristik Fisik Wilayah Menggunakan Pendekatan SIG di Pulau Bali

Authors

  • Fajrina Akmalia Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Dinda Parasnalurita Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Julia Armita Parenja Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Mawaddah R. Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Adhi Munajar Universitas Islam Negeri Sultan Syarif Kasim Riau

DOI:

https://doi.org/10.29303/goescienceed.v7i3.2100

Keywords:

Flash Floods, Disaster Vulnerability, Slope Gradient, High Rainfall, Geographic Information Systems (GIS), Bali.

Abstract

The combination of complex volcanic topography and local rainfall fluctuations places Bali in a position that is quite vulnerable to flash floods. Based on these conditions, this study attempts to map the level of regional vulnerability through an approach to its physical environmental characteristics using a Geographic Information System (GIS). The method used is descriptive quantitative, relying on a series of spatial analyses—starting from classification, weighting (scoring and weighting), to overlay techniques. Slope data from DEMNAS with a spatial resolution of 8 meters and annual rainfall data from BMKG are the two main parameters in this study. From the mapping results, the Bali region is divided into three levels of vulnerability: a low zone covering 170,249.34 ha (30.45%), a medium zone which dominates at 372,112.04 ha (66.55%), and a high zone covering 16,807.95 ha (4.66%). Interestingly, areas with high levels of vulnerability are concentrated in mountainous areas such as Bangli Regency, Karangasem, and parts of Tabanan. This is triggered by the intersection of steep slopes and high-intensity rainfall. Ultimately, these findings can provide a strong foundation for designing disaster mitigation strategies and risk-based spatial planning management on the island of Bali.

References

Arsyad, S. (2019). Konservasi tanah dan air (Edisi ke-2). IPB Press.

Asdak, C. (2023). Hidrologi dan pengelolaan daerah aliran sungai (Edisi ke-6). Gadjah Mada University Press.

Badan Nasional Penanggulangan Bencana. (2024). Laporan riwayat dan tren data bencana hidrometeorologi Indonesia tahun 2024. BNPB Indonesia. https://bnpb.go.id

Barry, R. G., & Chorley, R. J. (2010). Atmosphere, weather and climate (9th ed.). Routledge. https://doi.org/10.4324/9780203871027

Chow, V. T., Maidment, D. R., & Mays, L. W. (2019). Applied hydrology (2nd ed.). McGraw-Hill Education.

Gigović, L., Pamučar, D., Bajić, Z., & Drobnjak, S. (2017). Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas. Water, 9(6), 360. https://doi.org/10.3390/w9060360

Morgan, R. P. C. (2020). Soil erodibility and conservation (3rd ed.). Wiley-Blackwell. https://doi.org/10.1002/9781119423430

Prahasta, E. (2018). Sistem informasi geografis: Konsep-konsep dasar (perspektif geodesi & geomatika). Informatika.

Putra, I. G. N. A., & Mahendra, M. S. (2022). Analisis faktor geomorfologi terhadap tingkat kerawanan banjir di Provinsi Bali. Jurnal Manajemen Pengendalian Bencana, 10(2),145–158. https://doi.org/10.24843/JMPB.2022.v10.i02.p04

Rahmati, O., Pourghasemi, H. R., & Zeinivand, H. (2016). Flood susceptibility mapping using frequency ratio and weights-of-evidence models in GIS. Geocarto International, 31(1), 42–70. https://doi.org/10.1080/10106049.2015.1041559

Summerfield, M. A. (2014). Global geomorphology: An introduction to the study of landforms. Routledge. https://doi.org/10.4324/9781315841199

Tehrany, M. S., Jones, S., & Shabani, F. (2015). Flood susceptibility mapping using GIS-based support vector machine model and its comparison with frequency ratio and decision tree models. Journal of Hydrology, 527,680–692. https://doi.org/10.1016/j.jhydrol.2015.05.034

Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2014). Flood susceptibility mapping using a comparative assessment of decision tree and support vector machine models. Earth Science Informatics, 7(2), 115–127. https://doi.org/10.1007/s12145-013-0135-2

Tjasyono, B. (2018). Mikrometeorologi dan hidrometeorologi. Remaja Rosdakarya.

Verstappen, H. T. (2013). Geomorphological surveys for environmental development. Springer Science & Business Media. https://doi.org/10.1007/978-94-017-1691-8

Yulianto, F., Suwarsono, S., & Maulana, T. (2021). Optimasi pemanfaatan Sistem Informasi Geografis (SIG) dalam pemetaan risiko bencana hidrometeorologi nasional. Jurnal Penginderaan Jauh dan Komputasi Spasial, 18(1),34–47. https://doi.org/10.30536/j.pjks.2021.v18.a3512

Downloads

Published

2026-06-16

How to Cite

Akmalia, F., Parasnalurita, D., Parenja, J. A., Mawaddah R., & Munajar, A. (2026). Analisis Spasial Kerawanan Banjir Bandang Berdasarkan Karakteristik Fisik Wilayah Menggunakan Pendekatan SIG di Pulau Bali. Jurnal Pendidikan, Sains, Geologi, Dan Geofisika (GeoScienceEd Journal), 7(3), 2481–2487. https://doi.org/10.29303/goescienceed.v7i3.2100