ANALISIS TINGKAT DAN FAKTOR PENYEBAB KERAWANAN BANJIR DI KECAMATAN SIBERUT SELATAN

Ipan Karasius; Desi Eka Putri; Heny Mariati; Hary Febrianto

doi:10.32663/georaf.v9i1.4475

Authors

Ipan Karasius Universitas Tamansiswa Padang
Desi Eka Putri STKIP Pesisir Selatan Sumatera Barat
Heny Mariati Universitas Tamansiswa Padang
Hary Febrianto Hary Universitas Tamansiswa Padang

DOI:

https://doi.org/10.32663/georaf.v9i1.4475

Abstract

This study aims to (1) analyze the distribution of flood vulnerability levels in South Siberut District, and (2) analyze the dominant factors causing flood vulnerability in South Siberut District. The sample of this study is some floodprone areas in South Siberut District. The research method used is quantitative descriptive. Data processing to determine the distribution of flood vulnerability levels is carried out by overlaying, scoring, and weighting from slope data, elevation, rainfall, soil type, river distance, and land use. To determine the dominant factor causing flooding using the Pearson correlation test. Based on the results of the study, it can be concluded that the level of flood vulnerability in South Siberut District is divided into three classes, namely the low vulnerability level covering an area of 34,991.67 ha (71.86%), the medium vulnerability level covering an area of 12,488.61 ha (25.65%), the high vulnerability level covering an area of 1,215.30 ha (2.50%). The rainfall parameter is the dominant factor causing flooding in South Siberut District because the correlation results get the highest value of 0.693, followed by land use of 0.503, elevation of 0.313, river distance of 0.281, soil type of 0.134, and slope of 0.126.

Downloads

Download data is not yet available.

References

Aziza, S. N., Somantri, L., & Setiawan, I. (2021). Analisis Pemetaan Tingkat Rawan Banjir Di Kecamatan Bontang Barat Kota Bontang Berbasis Sistem Informasi Geografis. Jurnal Pendidikan Geografi Undiskha Volume 9, Number 2, Agustus 2021, pp.109-120 P-ISSN: 2614-591X EISSN: 2614-1094, 113-114.

BNPB. (2022). Data Kejadian Bencana Banjir Kabupaten Kepulauan Mentawai . Geoportal Data Bencana Indonesia.

Darmawan, K., Hani’ah, & Suprayogi, A. (2017). Analisis Tingkat Kerawanan Banjir di Kabupaten Sampang Menggunakan Metode Overlay dengan Scoring Berbasisi Sistem InformasiI Geografis. Jurnal Geodesi Undip Volume 6, Nomor 1, Tahun 2017, 32.

Fadila, C. I. (2023). Pemetaan Daerah Rawan Banjir Pada Daerah Aliran Sungai Merangin Tembesi. Skripsi Universitas Jambi, 7-8.

Hafizhan, A. (2020). Analisis Faktor – Faktor Penyebab Banjir di Kota Bekasi. Doctoral Dissertation Universitas Muhammadiyah Surakarta, 8.

Hermon, D. (2012). Mitigasi Bencana Hidrometeorologi: Banjir, Lonsor, Ekologi, Degradasi Lahan, Puting Beliung, Kekeringan (pp. 1-266). UNP Press.

Ilma, Y. D. (2019). Evaluasi Manajemen Program Kesehatan Reproduksi Pada Saat Bencana di Kota Bukittinggi Sumatera Barat Tahun 2018. Skripsi Universitas Andalas, 2-3.

Klipper, I. G., Zipf, A., & Lautenbach, S. (2021). Flood Impact Assessment on Road Network and Healthcare Access at the example of Jakarta, Indonesia. Reproducibility review: https://doi.org/10.17605/osf.io/g4dcq, 1.

Kusumo, P., & Nursari, E. (2016). Zonasi Tinkat Kerawanan Banjir dengan Sistem Informasi Geografis Pada DAS Cidurian Kab.Serang Banten. Journal.lppmunindra.ac.id, 32-36.

Pratama, T. P. E., W. P. Prihadita, V. P. Yuliatama, S. P. Ramadhani, Safitri, W., & H. N. Syifa. (2020). Analisis Index Overlay Untuk Pemetaan Kawasan Berpotensi Banjir di Gowa, Provinsi Sulawesi Selatan. Jurnal Geosains dan Remote Sensing, 1(1), 52-63.

Riyanto, I., Rizkinia, M., Arief, R., & Sudiana, D. (2022). Three-Dimensional Convolutional Neural Network on Multi-Temporal Synthetic Aperture Radar Images for Urban Flood Potential Mapping in Jakarta. applied sciences, 1.

Saputra, A. K., Santoso, D. H., & Yudono, A. R. A. (2020). Zonasi Tingkat Kerawanan Banjir Pada Ruas Bekas Sungai Di Kabupaten Sukoharjo. Jurnal Geografi Vol 12 No. 01 – 2020, e-ISSN: 2549–7057 | p-ISSN: 2085–8167, 32-38.

Sebayang, I. S. D., & Rosanti, R. R. (2022). Pemanfaatan Sistem Informasi Geografis (SIG) Untuk Analisis Tingkat Kerawanan Banjir Pada DAS Cisadane. Jurnal Rekayasa Sipil, Vol 11 No.1 Februari 2022, 35.

Sugianto, S. (2022). Analisis Resiko Bencana Banjir Kecamatan Jatinangor Kabupaten Sumedang. FTSP Series : Seminar Nasional dan Diseminasi Tugas Akhir 2022, 384.