Mapping drought prone areas using the weight overlay method in Serang Regency

Annidatus Sania, Yayat Ruhiat, Yus Rama Denny

Abstract


This research aims to analyse or estimate drought vulnerability in Serang Regency. The background of this research is based on areas that often experience moderate and even high levels of drought. The research method used is quantitative by using rainfall parameters, soil type parameters, and land use parameters which are then put together using the overlay method to obtain drought vulnerability areas in Serang Regency. Based on the results of the research, there are areas with low, medium, and high levels of drought vulnerability. The area with the largest drought vulnerability in Serang Regency is at the medium level of vulnerability. The results of the map analysis of the level of drought vulnerability indicate that there is a relationship between each parameter, with most of the drought vulnerability being influenced by several factors, including rainfall, soil type, and land use.


Keywords


drought; overlay; rainfall

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References


BMKG. (2021). Waspada Potensi Curah Hujan Tinggi dan Kekeringan Meteorologis di Indonesia 10 Hari ke Depan—Siaran Pers—BMKG. https://www.bmkg.go.id/siaran-pers/bmkg-waspada-potensi-curah-hujan-tinggi-dan-kekeringan-meteorologis-di-indonesia-10-hari-ke-depan

Cahyono, S., Suprayogi, I., & Fauzi, M. (2017). Analisis Indeks Kekeringan Menggunakan Metode Thornthwaite Mather Pada Das Siak. Jom FTEKNIK, 4(1).

Dewa, K. H., & Sabri. (2023). Analisis Lokasi Rawan Bencana Kekeringan Menggunakan Metode Fuzzy Analitycal Hierarchy Process (Fahp) di Kabupaten Grobogan Tahun 2020. Jurnal Geodesi Undip, 12(4), 445–454.

Dewi, L. W. P., Sulastri, N. N., Ngadisih, N., & Sucipta, I. N. (2023). Kajian Kerawanan Bencana Kekeringan di Kabupaten Gunungkidul di Yogyakarta, Indonesia. Jurnal BETA (Biosistem dan Teknik Pertanian), 12(1), 1. https://doi.org/10.24843/JBETA.2024.v12.i01.p01

Kusumo, P., & Nursari, E. (2016). Zonasi Tingkat Kerawanan Banjir dengan Sistem Informasi Geografis pada DAS Cidurian Kab. Serang, Banten. STRING (Satuan Tulisan Riset dan Inovasi Teknologi), 1(1). https://doi.org/10.30998/string.v1i1.966

Mu’awanah Sukmawati, A., Utomo, P., & Wibawa, T. (2022). Building resilience in Indonesia’s drought-ridden island of Java. https://doi.org/10.54377/5297-7108

Pasmah, K., Dhiniati, F., & Azizah, B. (2022). Penilaian Indeks Ancaman Kekeringan di Kecamatan Dempo Tengah Kota Pagaralam Menggunakan GIS. Jurnal Ilmiah Bering’s, 9(01), 23–30. https://doi.org/10.36050/berings.v9i01.458

Prasetyo, D. A., Suprayogi, A., & Hani’ah. (2018). Analisis Lokasi Rawan Bencana Kekeringan Menggunakan Sistem Informasi Geografis di Kabupaten Blora Tahun 2017. Jurnal Geodesi Undip, 7(4), 314–324.

Putudewi, A. (2021). Analisis Perubahan Tata Guna Lahan dan Tutupan (LULC) terhadap Bencana Kekeringan pada DAS Ciwulan [Skripsi, Universitas Jenderal Soedirman]. https://doi.org/10/LAMPIRAN-Afsari%20Putudewi-H1B016025-Skripsi-2021.pdf

Rahmi, M., Setiawan, M. A., & Mardiatno, D. (2019). Analisis Kekeringan Berdasarkan Bentuklahan Di Das Bompon. Media Komunikasi Geografi, 20(2), 90. https://doi.org/10.23887/mkg.v20i2.18399

Rizki, M. Y. (2023). Rehabilitasi Lahan Terbengkalai sebagai Solusi Kekeringan Kota Padat Penduduk. International Journal of Evaluation and Research in Education (IJERE), 99(1), 1–11. https://doi.org/10.11591/ijere.v99i1

Saputra, F. I., Zakaria, A., Arifaini, N., & Angin, G. P. (2021). Perbandingan Intensitas Curah Hujan Menggunakan Data Badan Meteorologi Klimatologi dan Geofisika (BMKG) dan Satelit Tropical Rainfall Measuring Missions (TRMM) di West Java. Jurnal Rekayasa Sipil dan Desain, 9(4), 715–728.

Soewandita, H. (2019). Analisis Bencana Kekeringan di Wilayah Kabupaten Serang. Jurnal Sains dan Teknologi Mitigasi Bencana, 13(1), 34. https://doi.org/10.29122/jstmb.v13i1.3037

Supinah, S. (2017). Analisis Kemampuan Tanah Memegang Air, Permeabilitas, dan Erodibilitas pada Dua Jenis Tanah dan Beberapa Penggunaan Lahan di Kabupaten Bogor [Skripsi, IPB University]. http://repository.ipb.ac.id/handle/123456789/126198

Swarinoto, Y. S., & Sugiyono, S. (2011). Pemanfaatan Suhu Udara dan Kelembapan Udara dalam Persamaan Regresi untuk Simulasi Prediksi Total Hujan Bulanan di Bandar Lampung. Jurnal Meteorologi Dan Geofisika, 12(3). https://doi.org/10.31172/jmg.v12i3.109




DOI: https://doi.org/10.31764/orbita.v11i1.30326

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