Email this article 
Drought in West Sumbawa: Non-Structural Mitigation Efforts Through Mapping and Policy Recommendations
Abstract
This study aims to map the level of drought across sub-districts in West Sumbawa Regency. The research was conducted through several stages, including preparation, collection of both primary and secondary data, data processing, data analysis, and the development of a comprehensive assessment. The primary data required include the Normalized Difference Vegetation Index (NDVI) map, Normalized Difference Water Index (NDWI) map, Land Surface Temperature (LST) map, average Rainfall map, hydrogeological map, and land use map. The drought level mapping in West Sumbawa Regency was carried out using an overlay technique involving six parameters through remote sensing, which was subsequently processed using ArcGIS software. The results indicate that high to very high drought levels occur in Pototano, Brang Rea, and Jereweh sub-districts. The spatial distribution of drought levels can be utilized to establish priority areas, particularly Pototano, Sekongkang, and Jereweh sub-districts, in decision-making processes as part of drought disaster mitigation efforts and as an early warning measure to prevent more severe future impacts.
Keywords: Drought; mapping; mitigation
Full Text:
PDFReferences
Adam, K., & Rudiarto, I. 2017. Kajian Tingkat Kerentanan Bencana Kekeringan Pertanian di Kabupaten Demak. Jurnal Teknik Sipil & Perencanaan: 19(2), 128–135. DOI: https://doi.org/10.15294/jtsp.v19i1.9493
Aripbilah, Safrudin Nor & Suprapto, Analisis Kekeringan di Kabupaten Sragen dengan Metode Palmer, Thornthwaite dan Standardized Rainfall Index. Jurnal Sumber Daya Air: 17(2), 111-124. DOI: https://doi.org/10.32679/jsda.v17i2.742
Ballo, Abraham. 2023. Analisis Spasial Titik Kebakaran Hutan dan Lahan di Kota Kupang dan Sekitarnya dengan Metode Kernel Density. Jurnal Penelitian Geografi: 11 (2). Pp. 119-127. DOI: http://dx.doi.org/10.23960/jpg.v11.i2.28371
Du, L., Naiping, L., Liu, K., Hou, J., Hu, Y., Zhu, Y., Wang, X., Wang, L., Guo, Y. 2017. Comparison of Two Simulation Methods of the Temperature Vegetation Dryness Index (TVDI) for Drought Monitoring in Semi-Arid Regions of China. Remote Sensing, 9(2), 177. https://doi.org/10.3390/rs9020177
Fattah, Muhammad Nurkholis & Widyasamratri, Hasti. 2024. Analisis Potensi Bencana Kekeringan Menggunakan Sistem Informasi Geografis. Jurnal Kajian Ruang: 4(1), 78-93. DOI: http://dx.doi.org/10.30659/jkr.v4i1
Febriyanti, Fitriana & Kurniawati, Aida. 2021. Pemanfataan Data Penginderaan Jauh Untuk Pemetaan Potensi Daerah Rawan Kekeringan di Kabupaten Ngawi. Jurusan Pendidikan Geografi FIS Unesa. https://www.academia.edu/101952473/Pemanfaatan_Data_Penginderaan_Jauh_Untuk_Pemetaan_Potensi_Daerah_Rawan_Kekeringan_DI_Kabupaten_Ngawi.
Haryanti, Haryanti., Widodo, Sugeng., Miswar, Dedy. 2019. Analisis Perubahan Penggunaan Lahan di Kecamatan Pagelaran Kabupaten Peringsewu Tahun 2013-2018. Jurnal Penelitian Geografi. 7 (5). DOI: http://dx.doi.org/10.23960%2Fjpg.v7i5.18225
Hastuti, Dwi., Sarwono., Muryani, Chatarina. 2017. Mitigasi, Kesiapsiagaan dan Adaptasi Masyarakat terhadap Bahaya Kekeringan Kabupaten Grobogan. Jurnal GeoEco. (3 (1): 47-57. https://jurnal.uns.ac.id/GeoEco/article/view/11044
Hatmoko, W., & Adidarma, W. K. 2014. Analisis Kekeringan Untuk Pengelolaan Sumber Daya Air (Naskah Ilmiah DSM/IP.0101/02.1/La-HITA2014). Puslitbang Sumber Daya Air. https://simantu.pu.go.id/personal/img-post/superman/post/20181128144625__F__KMS_BOOK_20180727112623.pdf
Hidayati, I. N., & Suryanto. 2015. Pengaruh Perubahan Iklim terhadap Produksi Pertanian dan Strategi Adaptasi pada Lahan Rawan Kekeringan. Jurnal Ekonomi dan Studi Pembangunan, 42–52. https://journal.umy.ac.id/index.php/esp/article/view/1217
Inarossy, Nadya & Yulianto, Sri. 2019. Klasifikasi Risiko Bencana Kekeringan Berbasis Citra Satelit Landsat 8 Oli dengan Kombinasi Metode Moran’s I dan Getis Ord G* (Studi Kasus: Kabupaten Boyolali dan Klaten). Program Studi Teknik Informatika FTI-UKSW. https://repository.uksw.edu/handle/123456789/20246
Lon, W. 2015. Assessing Drought Risk in Climate Change Adaptation. Journal of Environmental Management: 147, 213–225.
Mathbout, S., Lopez-bustins, J. A., Martin-vide, J., Bech, J., & Rodrigo, F. S. (2018). Spatial And Temporal Analysis of Drought Variability at Several Time Scales in Syria During 1961 – 2012. Atmospheric Research, 200 (May 2017), 153–168. http://doi.org/10.1016/j.atmosres.2017.09.016
Mohammed, R., & Scholz, M. (2017). Impact of Evapotranspiration Formulations at Various Elevations on the Reconnaissance Drought Index. Water Resources Management, 531–548. http://doi.org/10.1007/s11269-016-1546-9
Mujtahiddin, Muhamad. 2014. Analisis Spasial Indeks Kekeringan Kabupaten Indramayu. Jurnal Meteorologi dan Geofisika. 15 (2). https://doi.org/10.31172/jmg.v15i2.179
Nuraimmatul, F., & Buchori, I. 2019. MODEL PEMETAAN RISIKO KEKERINGAN DI KABUPATEN BIMA, NUSA TENGGARA BARAT. 15(2), 138–150. https://doi.org/10.14710/pwk.v15i2.19621
Perdana, Agung Mahadi Putra., Pratama, Angga Yudha., Fauzi, Adam Irwansyah., Welly, Tri Kies., Nurtyawan, Rian. 2022. Analisis Spasio-temporal Kekeringan Pada Lahan Sawah di Lampung Selatan Berbasis Pengolahan Normalized Difference Drought Index Pada Citra Satelit Landsat 8. Jurnal Geosains dan Remote Sensing (JGRS). 3 (1), 1-9. DOI: https://doi.org/10.23960/jgrs.2022.v3i1.65
Prabowo, Kukuh. 2016. Analisis Resiko Rencana Bencana Kekeringan di Kabupaten Klaten. Fakultas Geografi Universitas Muhammadiyah Surakarta. https://eprints.ums.ac.id/43514/17/HALAMAN%20DEPAN_REV_opt2.pdf
Pranata, Kukuh Aji & Aji, Ananto. 2021. Analisis Spasial Tingkat Potensi Kekeringan dan Tingkat Kesiapsiagaan Masyarakat dalam Menghadapi Bencana Kekeringan di Kabupaten Grobogan. Indonesian Journal of Conservation. 10(2): 108-114. DOI 10.15294/ijc.v10i2.33138
Prayoga, Muharrama Putra. 2017. Analisis Spasial Tingkat Kekeringan Wilayah Berbasis Penginderaan Jauh dan Sistem Informasi Geografis. Departemen Teknik Geomatika Fakultas Teknik Sipil dan Perencanaan ITS. https://repository.its.ac.id/44527/1/3513100067-Undergraduate_Theses.pdf
Putranto, Thomas Triadi., Hidajat, Wahju Krisna., Prayudi, Sinatrya Diko. 2020. Pemetaan Hidrogeologi dan Analisis Geokimia Air Tanah Cekungan Air Tanah (CAT Kendal. Jurnal Ilmu Lingkungan: 18 (2), 305-318. https://doi.org/10.14710/jil.18.2.305-318
Raharjo, Hadi Sulistyo., Hasyim, Abdul Wahid., Usman, Fadly. 2021. Upaya Penanganan Kawasan Kering Menggunakan Teknologi Penginderaan Jauh di Kabupaten Gresik. PURE: Planning for Urban Region and Environment: 10(1), 125-136. https://purejournal.ub.ac.id/index.php/pure/article/viewFile/86/57
Rahman, Fathin Aulia. 2024. Mapping Hydrometeorological Disaster Hazards of Landslides as an Effort to Build Regional Resilience in Banten Province. Jurnal Penelitian Geografi. 12 (2), pp.233-246. DOI: http://dx.doi.org/10.23960/jpg
Saidah, Humairo., Budianto, M Bagus., Hanifah, Lilik. 2017. Analisa Indeks Dan Sebaran Kekeringan Menggunakan Metode Standardized Rainfall Index (SPI) dan Geographical Information System (GIS) untuk Pulau Lombok. Jurnal Spektran. 5 (2). https://jurnal.harianregional.com/jsn/id-32940.
Saputra, Danang Maulana Arif. 2023. Pemanfaatan Citra Landsat 8 untuk Pemetaan Perubahan Penggunaan Lahan di Daerah Terdampak Erupsi Gunungapi Semeru (4 Desember 2021). Jurnal Penelitian Geografi. 11 (1), . DOI: http://dx.doi.org/10.23960/jpg.v11.i1.26950
Selvia, Siska Ita., Taufiqurrahman., Kurnia, M.Irvan., Siddiqirly, Muhammad. 2024. Pemetaan Daerah Di Kabupaten Landak Berdasarkan Tingkat Kekeringan Berbasis Penginderaan Jauh. JPIG (Jurnal Pendidikan dan Ilmu geografi). 9 (1): 51-64. http://ejournal.unikama.ac.id/index.php/JPIG/
Sianturi, Rizky J. 2023. Pemanfaatan Informasi Spasial SIG untuk Menganalisis Risiko Tanah Longsor di Kabupaten Tapanuli Utara. Jurnal Penelitian Geografi. 12 (1), pp. 1-11. DOI: http://dx.doi.org/10.23960%2Fjpg.v12i1.28293
Sipayung, Sinta Berliana., Susanti, Indah., Maryadi, Edy., Nurlatifah, Amalia., Siswanto, Bambang., et al. 2019. Analysis of Drought Potential in Sumba Island until 2040 Caused by Climate Change. Journal of Physic: Conference Series. 1373. 012004. DOI 10.1088/1742-6596/1373/1/012004
Sukmono, A., Rahman, F., & Darmo Yuwono, B. (2018). Pemanfaatan Teknologi Penginderaan Jauh untuk Deteksi Kekeringan Pertanian Menggunakan Metode Normalized Difference Drought Index di Kabupaten Kendal. In Jurnal Geografi Volume (Vol. 14, Issue 2). http://journal.unnes.ac.id/sju/index. php/ujet
Wan, Lingling., Bento, Virgilio A., Qu, Yanping., Qiu, Jianxiu., Song, Hongquon., et al. 2023. Drought characteristics and dominant factors across China: Insights from high-resolution daily SPEI dataset between 1979 and 2018. Science of Total Environment. 901. 166362. https://doi.org/10.1016/j.scitotenv.2023.166362
Wardani, Indah Ayu Kusuma & Nafiah, Silvia Umrotun. 2022. Analisis Spasial Potensi Tingkat Kekeringan di Kabupaten Pacitan. Jurnal Geografi. 20 (1). DOI: https://doi.org/10.26740/jggp.v20n1.p1-8
Wibowo, Rinto Ari & Rahman, Boby. 2021. Pemetaan Risiko Bencana Kekeringan Menggunakan Metode Kerawanan (Hazard) Dan Kerentanan (Vulnerability). Jurnal Kajian Ruang. (1(1): 93-108. DOI: http://dx.doi.org/10.30659/jkr.v1i1.19982
Yang, Simin., Quan, Quan., Liang, Weijia., Liu, Tiejun. 2021. Characteristics of Agricultural Droughts and Spatial Stratified Heterogeneity and Dependence of Dominant Factors in Inner Mongolia Autonomous Region, China. Atmosphere 2021, 12(10), 1249; https://doi.org/10.3390/atmos12101249
Refbacks
- There are currently no refbacks.
INDEX JOURNAL
