Sebaran Kekeringan Meteorologis dan Implikasinya di Kabupaten Jember
Bitania Sekar Apsari(1), Vivi Fitriani(2*), Septian Tegar Yuristiawan(3)
(1) Jurusan Ilmu Tanah, Universitas Jember, Jawa Timur, Indonesia
(2) Jurusan Ilmu Tanah, Universitas Jember, Jawa Timur, Indonesia
(3) Badan Pusat Statistik Kabupaten Nunukan, Kalimantan Utara, Indonesia
(*) Corresponding Author
Abstract
Abstrak Kekeringan meteorologis merupakan indikator awal yang krusial dalam mendeteksi tekanan iklim yang berpotensi memicu gangguan pada sektor pertanian dan sumber daya air. Kabupaten Jember sebagai wilayah dengan dominasi lahan pertanian tadah hujan memiliki tingkat kerentanan tinggi terhadap fluktuasi curah hujan. Penelitian ini bertujuan untuk menganalisis pola temporal dan sebaran spasial kekeringan meteorologis di Kabupaten Jember selama periode 2004–2023 menggunakan Standardized Precipitation Index (SPI) multiskala (1, 3, 6, 9, dan 12 bulan). Data curah hujan dari 77 stasiun diuji homogenitasnya menggunakan Buishand Range Test, dengan 71 stasiun dinyatakan layak analisis. Pemetaan dilakukan menggunakan metode interpolasi Inverse Distance Weighted (IDW) dalam Sistem Informasi Geografis. Hasil menunjukkan bahwa kekeringan terjadi berulang hampir setiap tahun dengan cakupan spasial yang luas dan intensitas berbeda pada tiap skala waktu. Luasan kekeringan tertinggi tercatat pada SPI 6 bulan sebesar 329.100 ha (Mei), menunjukkan tekanan akumulatif terhadap sistem irigasi dan cadangan air. Temuan ini menegaskan bahwa pendekatan SPI multiskala efektif sebagai dasar sistem peringatan dini dan perencanaan adaptasi berbasis wilayah, khususnya untuk pengelolaan pertanian dan sumber daya air di tingkat kabupaten.
Abstract.Meteorological drought serves as a critical early indicator of climate stress that can disrupt agricultural systems and water resources. Jember Regency, characterized by extensive rainfed agricultural land, is highly vulnerable to rainfall variability. This study aims to analyze the temporal patterns and spatial distribution of meteorological drought in Jember Regency during the 2004–2023 period using the multi-timescale Standardized Precipitation Index (SPI) at 1-, 3-, 6-, 9-, and 12-month intervals. Monthly rainfall data from 77 stations were tested for homogeneity using the Buishand Range Test, with 71 stations deemed suitable for further analysis. Spatial mapping was conducted using the Inverse Distance Weighted (IDW) interpolation method within a Geographic Information System framework. The results indicate that drought events occurred recurrently almost every year, with varying spatial extent and intensity across timescales. The most extensive drought area was identified under the 6-month SPI in May, covering 329,100 ha, reflecting cumulative stress on irrigation systems and water reserves. These findings demonstrate that the multi-timescale SPI approach provides a robust basis for early warning systems and spatially informed adaptation planning, particularly for agricultural and water resource management at the regency level.
Submitted:2025-07-01 Revisions: 2025-11-07 Accepted:2026-03-02 Published:2026-03-10
Keywords
Full Text:
PDFReferences
Auliyani, D., & Wahyuningrum, N. (2019). Sebaran potensi kekeringan meteorologis di Daerah Aliran Sungai Bengawan Solo bagian hulu dan upaya penanggulangannya. Majalah Geografi Indonesia, 33(2), 58–63. https://doi.org/10.22146/mgi.45534
Ayuba, S. R., Nursaputra, M., & Manyoe, I. N. (2019). Simulasi arahan penggunaan lahan di DAS Limboto dalam rangka pengendalian kekeringan. Majalah Geografi Indonesia, 33(2), 87–94. https://doi.org/10.22146/mgi.37460
Bahtiar, R., Wijayanto, Y., Subhan, A. B., & Saputra, T. W. S. (2022). Perbedaan Karakteristik Sebaran Spasial Hujan di Kabupaten Jember Menggunakan Metode Inverse Distance Weighted (IDW) dan Poligon Thiessen. Berkala Ilmiah PERTANIAN, 1, 1–5. https://doi.org/10.19184/bip.v5i1.34423
BMKG. (2022). Iklim: Dari Fenomena Global Hingga Dampak Lokal. Kedeputian Bidang Klimatologi, BMKG.
BPS Jember. (2024). Kabupaten Jember dalam Angka 2024.
Buishand, T. A. (1982). Some Methods for Testing the Homogeneity of Rainfall Records. Journal of Hydrology, 58(1–2), 111-127. https://doi.org/10.1016/0022-1694(82)90066-X
Hermiyanto, B., Mawarni, C., Winarso, S., & Budiman, S. A. (2025). Soil Quality Assessment and Land Capability Evaluation for Determining Integrated Watershed Management Model Through SWOT Analysis and AHP Method in Arjasa Sub-Watershed, Indonesia. Watershed Ecology and the Environment, 7, 104–118. https://doi.org/10.1016/j.wsee.2025.02.001
Kamiana, I. M. (2011). Teknik Perhitungan Debit Rencana Bangunan Air. Yogyakarta: Graha Ilmu.
Maipauw, M. M., Sediyono, E., & Joko, Y. S. (2020). Drought Analysis and Forecast Using Landsat-8 Sattelite Imagery, Standardized Precipitation Index and Time Series. Khasnah Informatika (Jurnal Ilmu Komputer Dan Informatika), 6(1), 58–65. https://doi.org /10.23917/khif.v6i1.8863
Masruroh, D., & Bowo, C. (2022). Analisis Indeks Kekeringan Metode Standardized Precipitation Index (SPI) dan Pengaruhnya Terhadap Produktivitas Padi dan Jagung. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 277–284. https://doi.org/10.21776/ub.jtsl.2022.009.2.8
Mckee, T. B., Doesken, N. J., & Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17–22.
Mohanta, D. R., Soren, J., Sarangi, S. K., & Sahu, S. (2020). Meteorological drought trend analysis by standardized precipitation index (SPI) and reconnaissance drought index (RDI): a case study of Gajapati District. International Journal of Chemical Studies, 8(3), 1741–1746. https://doi.org/10.22271/chemi.2020.v8.i3x.9448
NDMC. (2018). SPI Generator [software]. https://drought.unl.edu/Monitoring/SPI/SPIProgram.aspx
Sudia, L. B., Gandri, L., Sofyan Hendryanto, H., Bana, S., & Fitriani, V. (2021). Conservation Strategy Analysis in Upstream Watershead: Case Study in Cimandiri Watershead. Jurnal Ecosolum, 10(1), 33–48. https://doi.org/10.20956/ecosolum.v10i1.13100
UNISDR. (2009). Drought Risk Reduction Framework and Practices Contributing to the Implementation of the Hyogo Framework for Action. UNISDR. www.unisdr.org
Valeda, H. P., Setiawan, B., & Mardiatno, D. (2016). Evaluasi efektivitas rencana tata ruang dalam mengurangi risiko kekeringan di kawasan karst dengan analisis berbasis sistem informasi geografis. Majalah Geografi Indonesia, 30(1), 37–48. https://doi.org/10.22146/mgi.15616
WMO. (2006). Drought monitoring and early warning: concepts, progress, and future challenges.
WMO. (2012). Standardized Precipitation Index User Guide.
Xu, Y., Zhang, X., Wang, X., Hao, Z., Singh, V. P., & Hao, F. (2019). Propagation from meteorological drought to hydrological drought under the impact of human activities: A case study in northern China. Journal of Hydrology, 579. https://doi.org/10.1016/j.jhydrol.2019.124147
Zhang, Y., Wang, J., Shen, Z., & Xie, X. (2019). Evolution Characteristics of Seasonal Drought in Hunan Based on the Standardized Precipitation Index (SPI). Geoscience and Remote Sensing, 2, 56–64. https://doi.org/10.23977/geors.2019.21004
Article Metrics
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Authors

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Volume 39 No 1 the Year 2025 for Volume 43 No 2 the Year 2029
ISSN 0215-1790 (print) ISSN 2540-945X (online)






