Flood Vulnerability in Gunungkidul Regency, Yogyakarta, Indonesia

Authors

  • Ni Luh Trisna Candra Dewi Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia
  • Ni Nyoman Sulastri Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia
  • Ngadisih SulastrI Departemen Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Sleman, Yogyakarta, Indonesia
  • I Gusti Ketut Arya Arthawan Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

DOI:

https://doi.org/10.24843/JBETA.2024.v12.i01.p02

Keywords:

flood potential, scoring, geographic information system.

Abstract

Gunungkidul is one of the regencies in the Special Region of Yogyakarta. In 2020, Gunungkidul Regency experienced high rainfall intensity, which has the potential to cause flooding. This study aims to determine the potential level of flood vulnerability in Gunungkidul Regency and to create a flood vulnerability map. The analysis used a scoring and weighting method, assigning scores and weights to parameters such as rainfall, slope, elevation, soil type, and land use. The results show that Gunungkidul Regency has moderate rainfall ranging from 2,161 to 2,287 mm/year, covering 67,862.24 ha (45.69% of the area), flat slopes covering 50,037 ha (33.69%), elevations below 100 m covering 67,939.4 ha (53.48%), and Mediterranean soil covering 79,254.82 ha (53.37%). Land use is dominated by moorland, covering 56,228.93 ha (37.86%). Flood vulnerability was classified into three categories: approximately 62.58% of the area is low vulnerability, 35.51% is medium vulnerability, and 0.71% is high vulnerability.

References

Anggraini, N., Pangaribuan, B., Siregar, A. P., Sintampalam, G., Muhammad, A., Damanik, M. R. S., & Rahmadi, M. T. (2021). Analisis pemetaan daerah rawan banjir di Kota Medan tahun 2020. Jurnal Samudra Geografi, 4(2), 27–33. https://doi.org/10.33059/jsg.v4i2.3851

Arianto, W., Suryadi, E., & Perwitasari, S. D. N. (2021). Analisis laju infiltrasi dengan metode Horton pada Sub DAS Cikeruh. Jurnal Keteknikan Pertanian Tropis dan Biosistem, 9(1), 8–19. https://doi.org/10.21776/ub.jkptb.2021.009.01.02

Aulia, K. I., Subiyanto, S., & Sudarsono, B. (2019). Analisis arah perkembangan fisik wilayah Kabupaten Kendal menggunakan sistem informasi geografis. Jurnal Geodesi Undip, 8(1), 486–495.

Findayani, A. (2018). Kesiap siagaan masyarakat dalam penanggulangan banjir. Jurnal Media Informasi Pengembangan Ilmu dan Profesi Kegeografian, 12(1), 102–114. https://journal.unnes.ac.id/nju/index.php/JG/article/view/8019

Genesiska, M., Mulyono, & Intan Yufantari, A. (2020). Pengaruh jenis tanah terhadap pertumbuhan dan hasil tanaman jagung (Zea mays L.) varietas Pulut Sulawesi. Journal of Agricultural Science, 2020(2), 107–117.

Kurniawan, D. (2021, November 11). Hujan deras, longsor dan banjir terjadi di Gunungkidul. Harian Jogja. https://jogjapolitan.harianjogja.com/read/2021/11/11/513/1087994/hujan-deras-longsor-dan-banjir-terjadi-di-gunungkidul

Kusumaningrat, M., Subiyanto, S., & Yuwono, B. (2017). Analisis perubahan penggunaan dan pemanfaatan lahan terhadap rencana tata ruang wilayah tahun 2009 dan 2017 (studi kasus: Kabupaten Boyolali). Jurnal Geodesi Undip, 6(4), 443–452.

Kuswadi, D., & Zulkarnain, I. (2014). Identifikasi wilayah rawan banjir Kota Bandar Lampung dengan aplikasi sistem informasi geografis (SIG). TekTan Jurnal Ilmiah Teknik Pertanian, 6(1), 1–70. https://jurnal.polinela.ac.id/index.php/TEKTAN/article/view/840

Maliki, R. Z., & Saputra, A. (2021). Pemetaan bahaya banjir di Kecamatan Baolan, Kabupaten Tolitoli, Provinsi Sulawesi Tengah. Jurnal Dialog Penanggulangan Bencana, 12(1), 13–20.

Mantika, N. J., Hidayati, S. R., & Babarsari, J. (2020). Identifikasi tingkat kerentanan bencana di Kabupaten Gunungkidul. MATRA, 1(26622-187X), 59–70.

Nita, I., Putra, A. N., Albayani, H. K., Wildanul, A., & Nurhutami, S. R. (2022). Analisis potensi dan risiko banjir pada lahan pertanian di Kabupaten Pacitan. Jurnal Tanah dan Sumberdaya Lahan, 9(2549–9793), 37–48. https://doi.org/10.21776/ub.jtsl.2022.009.1.5

Novaliadi, D. (2014). Pemetaan kerawanan banjir dengan aplikasi sistem informasi geografis di Sub DAS Karang Mumus, Provinsi Kalimantan Timur. Geografi UGM. http://etd.repository.ugm.ac.id/penelitian/detail/76621

Nuryanti, T., Tanesib, J., & Warsito, A. (2018). Pemetaan daerah rawan banjir dengan penginderaan jauh dan sistem informasi geografis di Kecamatan Kupang Timur, Kabupaten Kupang, Provinsi Nusa Tenggara Timur. Fisika Sains dan Aplikasinya, 3.

Sholahuddin, M. (2015). SIG untuk memetakan daerah banjir dengan metode skoring dan pembobotan (studi kasus Kabupaten Jeparan). Sistem Informasi Journal, 1, 8–19.

Sitorus, I. H. O., Bioresita, F., & Hayati, N. (2021). Analisis tingkat rawan banjir di Kabupaten Bandung menggunakan metode pembobotan dan scoring. Jurnal Teknik ITS, 10(1). https://doi.org/10.12962/j23373539.v10i1.60082

Tjahjono, H., & Geografi, J. (2007). Overlay sebagai model pembelajaran dalam mata kuliah SIG (Sistem Informasi Geografis) guna menemukan informasi geospasial baru. Lembaran Ilmu Kependidikan, 36(1), 18–27.

Wisnawa, Y. I. G., Jayantara, Y. I. G. N., & Putra, D. G. (2021). Pemetaan lokasi rawan banjir berbasis sistem informasi geografis di Kecamatan Denpasar Barat. Jurnal ENMAP (Environment & Mapping), 2(2).

Yuwono, M. (2021, November 11). Hujan deras di Gunungkidul, banjir dan longsor di beberapa lokasi. Kompas Regional. https://regional.kompas.com/read/2021/11/11/114435278/hujan-deras-di-gunungkidul-banjir-dan-longsor-di-beberapa-lokasi?page=all

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Published

2024-04-30

How to Cite

Dewi, N. L. T. C., Sulastri, N. N., SulastrI, N., & Arthawan, I. G. K. A. (2024). Flood Vulnerability in Gunungkidul Regency, Yogyakarta, Indonesia. Jurnal BETA (Biosistem Dan Teknik Pertanian), 12(1), 13–25. https://doi.org/10.24843/JBETA.2024.v12.i01.p02

Issue

Vol. 12 No. 1 (2024): April

Section

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