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All Journal Majalah Geografi Indonesia Proceeding ISETH (International Summit on Science, Technology, and Humanity) Jurnal Meteorologi dan Geofisika
Oktaviani, Malinda Budi
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Computer Science & IT Earth & Planetary Sciences Energy Engineering Medicine & Pharmacology Physics Social Sciences Other

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Meteorological Drought Analysis in Tangsi Sub-Watershed, Magelang Regency Atikah, A; Pradita, Rey Pingkan; Ramadhania, Rizka Novi; Naim, Asshaffa; Paramesthi, Febriyanti; Anjani, Azzahra Gita Putri; Ramadhanissa, Diandra Salma; Fathurrahman, Yusuf; Khansa, Lulu Nabila; Oktaviani, Malinda Budi; Abidin, Pramuditya Vanesya Putri Febrian; Mahdi, Naufal Asyraf; Suarma, Utia
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2024: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.5435

Abstract

Natural disasters such as droughts occur gradually and last until the start of the rainy season. Meteorological drought happens when a region experiences periods of below-average rainfall, resulting in lower water availability in the soil compared to its needs. The Tangsi Sub-Watershed traverses the districts of Kajoran, Salaman, Kaliangkrik, Borobudur, and Tempuran. It is part of the Progo Watershed, which is under the administrative boundary of Magelang Regency. The variation in climate and the landforms of the Tangsi Sub-Watershed, which are dominated by materials that are less permeable to water, make this area prone to drought. This research analyzes meteorological drought in the Tangsi Sub-Watershed, Magelang Regency by using the Standardized Precipitation Index (SPI) and Drought Hazard Index (DHI). The analysis from quarterly SPI from 1994 to 2023 indicates that the Tangsi Sub-Watershed experienced a medium drought hazard level with a score of 14. The Tangsi Sub-Watershed experienced extreme drought events at 2.22%, high drought at 3.89%, and moderate drought at 6.94%. Long-term drought risk analysis can be used by communities and governments to plan and implement mitigation measures ahead of time by revealing patterns and intensities of recurrent droughts.
PROYEKSI KEKRITISAN AIR TAHUN 2021-2035 BERDASARKAN SKENARIO CMIP6 (COUPLED MODEL INTERCOMPARISON PROJECT PHASE 6) DI DAERAH ISTIMEWA YOGYAKARTA Naim, Asshaffa; Zerlinda, Aurelia; Oktaviani, Malinda Budi; Abidin, Pramuditya Vanesya Putri Febrian; Nurjani, Emilya; Sekaranom, Andung Bayu; Setyaningrum, Etik; Prabowo, Andriyas Aryo
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.1063

Abstract

Climate change can lead to an imbalance between water demand and supply, resulting in problems such as water scarcity. To avoid this, a projection of the level of water scarcity is needed. Water scarcity is calculated as the percentage of water demand to water supply. This research aims to determine the level of need, availability, and scarcity of meteorological water. This research uses meteorological water supply obtained through Thornthwaite- Mather water balance calculation from CMIP6 rainfall and temperature projection modeling data in SSP2 and SSP5 scenarios. CMIP6 data was corrected using distribution mapping and average ratios methods to improve the distribution and data values. Water demand indicators are reviewed from three sectors, namely domestic water demands, agricultural water demands, and livestock water demands. The water supply calculation results in Daerah Istimewa Yogyakarta (DIY) show a pattern that fluctuates from year to year during the 2021-2035. Meanwhile, water demand continues to increase along with population growth. The level of water scarcity shows that, overall, DIY is classified as not critical to slightly critical in the SSP2 scenario and not critical to critical in the SSP5 scenario. The difference in the level of scarcity is influenced by socio-economic development and climate change mitigation efforts assumed in each scenario. By knowing the projected level of water scarcity, policymakers are expected to pursue appropriate climate change mitigation measures to actualize the best SSP scenario.
Analisis Faktor Meteorologi terhadap Kebakaran Hutan dan Lahan di Pulau Kalimantan Periode 2019-2023 Oktaviani, Malinda Budi; Nurjani, Emilya; Suarma, Utia; Sekaranom, Andung Bayu
Majalah Geografi Indonesia Vol 40, No 1 (2026): In Progres
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.109314

Abstract

Abstrak. Pulau Kalimantan merupakan wilayah dengan tingkat kejadian kebakaran hutan dan lahan (karhutla) yang tinggi, terutama pada kawasan bergambut yang luas. Penelitian ini bertujuan: (1) Mengidentifikasi distribusi spasial dan frekuensi temporal hotspot Pulau Kalimantan khususnya pada lahan gambut dan non-gambut, (2) Menganalisis variasi spasial dan temporal bulanan dari curah hujan, suhu udara, serta kelembapan tanah di lahan gambut dan non-gambut, (3) Menganalisis variabel yang paling berpengaruh terhadap jumlah hotspot di lahan gambut dan non-gambut. Data hotspot diperoleh dari citra MODIS beresolusi 1 km, sedangkan data curah hujan dan temperatur udara 2 m berasal dari ERA5 (resolusi 0,25°), dan data kelembapan tanah diambil dari SMAP L4 Global 9-km Surface and Root Zone Soil Moisture. Analisis regresi binomial negatif digunakan untuk menilai pengaruh faktor meteorologis terhadap intensitas hotspot. Hasil penelitian menunjukkan bahwa hotspot lebih terkonsentrasi pada lahan gambut (6.184 titik) dibandingkan non-gambut (4.848 titik). Kelembapan tanah terbukti sebagai faktor paling signifikan yang memengaruhi peningkatan jumlah hotspot, diikuti oleh curah hujan. Sebagian besar hotspot terjadi pada wilayah dengan curah hujan <100 mm/bulan, suhu >25°C, dan kelembapan tanah 10–30%. Secara keseluruhan, kenaikan suhu tidak selalu diikuti oleh lonjakan jumlah hotspot yang signifikan. Akan tetapi, apabila dilihat secara spasial suhu tetap memiliki peran karena hotspot lebih banyak terdistribusi pada wilayah-wilayah dengan suhu yang relatif tinggi. Temuan ini memberikan dasar ilmiah bagi pengembangan sistem peringatan dini karhutla berbasis parameter meteorologis serta mendukung pengelolaan adaptif lahan gambut untuk mengurangi risiko kebakaran di Pulau Kalimantan.Abstract Kalimantan Island is a region with a high frequency of forest and land fires (known as karhutla), particularly in its extensive peatland areas. This study aims to: (1) identify the spatial distribution and temporal frequency of hotspots across Kalimantan Island, particularly on peatland and non-peatland areas; (2) analyze the monthly spatial and temporal variations of rainfall, air temperature, and soil moisture on peatland and non-peatland; and (3) determine the meteorological variables that most influence the number of hotspots in peatland and non-peatland areas. Hotspot data were obtained from MODIS imagery with a 1 km resolution, while rainfall and 2 m air temperature data were derived from ERA5 (0.25° resolution), and soil moisture data were obtained from SMAP L4 Global 9-km Surface and Root Zone Soil Moisture. A negative binomial regression analysis was used to assess the influence of meteorological factors on hotspot intensity. The results show that hotspots were more concentrated on peatland (6,184 points) than on non-peatland (4,848 points). Soil moisture was found to be the most significant factor influencing the increase in hotspot numbers, followed by rainfall. Most hotspots occurred in areas with rainfall <100 mm/month, temperature >25°C, and soil moisture ranging from 10–30%. Overall, temperature increases were not always followed by significant rises in hotspot numbers; however, spatially, temperature still played a role, as hotspots were more frequently distributed in areas with relatively high temperatures. These findings provide a scientific basis for developing an early warning system for forest and land fires based on meteorological parameters and support adaptive peatland management to reduce fire risks in Kalimantan Island.Submitted: 2025-07-16 Revisions: 2025-09-21 Accepted: 2024-09-11 Published: 2025-11-07
Co-Authors Abidin, Pramuditya Vanesya Putri Febrian Andung Bayu Sekaranom Anjani, Azzahra Gita Putri Atikah, A Emilya Nurjani Fathurrahman, Yusuf Khansa, Lulu Nabila Mahdi, Naufal Asyraf Naim, Asshaffa Paramesthi, Febriyanti Prabowo, Andriyas Aryo Pradita, Rey Pingkan Ramadhania, Rizka Novi Ramadhanissa, Diandra Salma Setyaningrum, Etik Utia Suarma Zerlinda, Aurelia