Identifikasi dan Prediksi Zona Rawan Bencana Banjir di Daerah Pesisir Kecamatan Teluk Ambon Baguala

Authors

  • Aditya Ramadhan Univeritas Pattimura
  • Samsul Bahri Universitas Pattimura
  • Warni Multi Universitas Pattimura
  • Sitti Hafsa Kotarumalos Universitas Pattimura
  • Resti Limehuwey Universitas Pattimura

DOI:

https://doi.org/10.55123/insologi.v4i5.6559

Keywords:

Flood, GIS, Spatial Analysis

Abstract

Ambon City, located in the Maluku Province, is experiencing rapid development. This rapid development has resulted in an increasing number of areas that should absorb water being covered by roads and buildings, leading to a decrease in water absorption into the ground and frequent flooding in several areas around the coast. This is due to the drastic increase in rainwater volume, which exceeds the capacity of drainage channels (culverts) and ultimately leads to flooding in rivers. Identifying flood-prone areas is crucial for estimating the potential impact of flooding. The results can be one of the flood mitigation efforts in the area. Geographic Information Systems (GIS) can be a solution for obtaining information on identifying and predicting flood-prone areas by creating, transforming, and analyzing field observation data into maps that show flood-prone areas. In this study, various factors and variables were collected and adjusted with specific considerations drawn from multiple references and reference materials to identify and predict flood vulnerability in the area. The analysis indicates that 5.98% of the coastal area in Teluk Ambon Baguala District has a very high vulnerability to flooding, while 58.89% of the coastal area is characterized by a high level of vulnerability to flooding.

Downloads

Download data is not yet available.

References

Adininggar, F. W., Suprayogi, A., & Wijaya, A. P. (2016). Pembuatan Peta Potensi Lahan Berdasarkan Kondisi Fisik Lahan Menggunakan Metode Weighted Overlay. Jurnal Geodesi Undip, 5(2), 136–146. https://doi.org/https://10.14710/jgundip.2016.11530

Pemerintah Kota Ambon. (2017). Rancangan Akhir Rencana Pembangunan Jangka Menengah Daerah (RPJMD) Kota Ambon Tahun 2017-2022. https://ambon.go.id/rpjmd-2017-2022/

Arbi, M. F., & Usman, K. S. (2022). Penerapan Sistem Informasi Geografis Pada Identifikasi Kerawanan Banjir Di Kecamatan Pattallassang. Jurnal Al-ḤaḍᾹrah Al-IslᾹmiyah, 2(1), 38–50.

Chow, V. Te, Maidment, D. R., & Mays, L. W. (1988). Applied Hydrology. McGraw-Hill.

Dano, Dr. U. L., Balogun, A.-L., Matori, A., Wan Yusof, K., Rimi Abubakar, I., Said, M., Aina, Y., & Pradhan, B. (2019). Flood Susceptibility Mapping Using GIS-Based Analytic Network Process: A Case Study of Perlis, Malaysia. Water, 11, 615. https://doi.org/10.3390/w11030615

Dano, U. L., Balogun, A.-L., Matori, A., Wan Yusof, K., Rimi Abubakar, I., Said, M., Aina, Y., & Pradhan, B. (2019). Flood susceptibility mapping using GIS-based Analytic Network Process: A case study of Perlis, Malaysia. Water, 11(3), 615. https://doi.org/10.3390/w11030615

Dewi, R. S., Nurhadi, N., & Setiawan, A. (2023). Assessing flood vulnerability from rapid urban growth in Central Java, Indonesia. Natural Hazards, 117(1), 351–372. https://doi.org/10.1007/s11069-023-06054-3

Fitriani, E., Sutanto, B., & Pradana, A. (2021). GIS-based multi-criteria flood susceptibility mapping in urban areas. IOP Conference Series: Earth and Environmental Science, 835, 012034. https://doi.org/10.1088/1755-1315/835/1/012034

Hamdani, H., Permana, S., & Susetyaningsih, A. (2016). Analisa Daerah Rawan Banjir Menggunakan Aplikasi Sistem Informasi Geografis (Studi Kasus Pulau Bangka). Jurnal Konstruksi, 12. https://doi.org/10.33364/konstruksi/v.12-1.283

Hamed, M. S., Kalyanapu, A. J., & Merwade, V. (2019). Assessing the influence of drainage density on flood susceptibility mapping. Journal of Hydrology, 575, 1053–1064. https://doi.org/10.1016/j.jhydrol.2019.05.071

Haryani, S., & Marfai, M. A. (2019). Flood vulnerability assessment and mapping in coastal areas using GIS and multi-criteria analysis: A case study. Environmental Monitoring and Assessment, 191(7), 441. https://doi.org/10.1007/s10661-019-7524-1

Hendriana, K. I., Yasa, I. G. A. S., Kesiman, M. W. A., & Sunarya, I. M. G. (2013). Sistem Informasi Geografis Penentuan Wilayah Rawan Banjir di Kabupaten Buleleng. KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika), 2(5), 608–616. https://doi.org/10.23887/karmapati.v2i5.19638

Ibrahim, N. I., Berhitu, P. T., & Puturuhu, F. (2022). Evaluasi Sistem Drainase dalam Upaya Penanggulangan Banjir di Kelurahan Honipopu Kota Ambon. Jurnal Geografi, 20(2), 131–143. https://doi.org/10.26740/jggp.v20n2.p131-143

Malczewski, J. (1999). GIS and Multicriteria Decision Analysis. John Wiley & Sons, Inc.

Marasabessy, M., Pallu, M., Lopa, R., & Thaha, M. (2020). Development of flood forecasting model and warning systems at Way Ruhu – Ambon. IOP Conference Series: Earth and Environmental Science, 419, 012115. https://doi.org/10.1088/1755-1315/419/1/012115

Mardana, K. A., Sastrawangsa, G., & Putra, I. M. A. W. (2022). Pemetaan Daerah Rawan Banjir dan Longsor di Kabupaten Buleleng Berbasis SIG dengan Metode MCDA. Seminar Nasional Penelitian Dan Pengabdian Kepada Masyarakat CORISINDO, 264–269.

Mayaut, P. F. (2022). Empat kecamatan di Ambon terdampak banjir dan longsor. ANTARA. https://www.antaranews.com/berita/2949265/empat-kecamatan-di-ambon-terdampak-banjir-dan-longsor

Musa, R., & Ashad, H. (2022). Sistem Informasi Geografis (SIG) pada Jaringan Drainase Kota Watampone. Jurnal Konstruksi: Teknik, Infrastruktur Dan Sains, 1(7), 40–48.

Nkwunonwo, U. C., Whitworth, M., & Baily, B. (2021). Flood risk assessment using MCDA and GIS in Lagos, Nigeria. Environmental Monitoring and Assessment, 193(2), 123. https://doi.org/10.1007/s10661-020-08806-1

Pimenta, L., & et al. (2025). GIS Based Flood Susceptibility Mapping Using AHP in the Paraíba Basin, Brazil. Land, 14(3), 521. https://doi.org/10.3390/land14030521

Pradhan, B., Lee, S., & Saha, S. (2011). Flood susceptibility assessment using GIS-based multi-criteria decision analysis: A case study. Journal of Hydrology, 402(3–4), 123–138. https://doi.org/10.1016/j.jhydrol.2011.03.018

Rebouh, H., Farhi, Y., Boughanem, S., & Hadji, R. (2024). Flood hazard mapping using GIS-based multi-criteria decision analysis (MCDA) and remote sensing data in Northern Algeria. Natural Hazards, 120(3), 2157–2178. https://doi.org/10.1007/s11069-024-06872-9

Rincon Romero, D., Khan, U., & Armenakis, C. (2018). Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study. Geosciences, 8, 275. https://doi.org/10.3390/geosciences8080275

Romadhon, M. R., & Aziz, M. (2022). Pemetaan tingkat kerawanan banjir di Kota Semarang menggunakan metode overlay dan scoring berbasis SIG. Jurnal Geografi: Media Informasi Pengembangan Dan Profesi Kegeografian, 19(1), 56–65. https://doi.org/10.15294/jg.v19i1.30572

Saaty, T. L. (1980). The Analytical Hierarchy Process. McGraw Hill.

Sharir, K., Roslee, R., & Saidin, A. (2022). Assessment of Flood Susceptibility Analysis Using Analytical Hierarchy Process (AHP) in Kota Belud Area, Sabah, Malaysia. IOP Conference Series: Earth and Environmental Science, 1103, 012005. https://doi.org/10.1088/1755-1315/1103/1/012005

Suni, M. A., Sutomo, S., & Raharjo, P. (2024). Flood vulnerability analysis as a hydrological disaster in Lore Lindu Biosphere Reserve. Journal of Degraded and Mining Lands Management, 11(2), 3899–3907. https://doi.org/10.15243/jdmlm.2024.112.3899

Usman Kaoje, I., Abd Rahman, M., Idris, N., Razak, K., Wan Mohd Rani, W., TAM, T., & Mohd Salleh, M. R. (2021). Physical Flood Vulnerability Assessment Using Geospatial Indicator-Based Approach and Participatory Analytical Hierarchy Process: A Case Study in Kota Bharu, Malaysia. Water, 13, 1786. https://doi.org/10.3390/w13131786

Ward, P. J., Pauw, W., van Buuren, M. W., & Marfai, M. A. (2008). Flood Risk Management in Jakarta: Combining Structural and Non-Structural Measures. Natural Hazards, 44(3), 373–386. https://doi.org/10.1007/s11069-007-9200-8

Downloads

Published

2025-10-15

How to Cite

Aditya Ramadhan, Bahri, S., Multi, W., Kotarumalos, S. H. ., & Limehuwey, R. (2025). Identifikasi dan Prediksi Zona Rawan Bencana Banjir di Daerah Pesisir Kecamatan Teluk Ambon Baguala. INSOLOGI: Jurnal Sains Dan Teknologi, 4(5), 1366–1377. https://doi.org/10.55123/insologi.v4i5.6559