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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) Kawalu: Journal of Local Culture Jambura Physics Journal Jurnal Fisika : Fisika Sains dan Aplikasinya Jurnal Teori dan Aplikasi Fisika DIFFRACTION: Journal for Physics Education and Applied Physics Jurnal Abdimas Bina Bangsa Magnetic: Research Journal of Physics and It’s Application Pengabdian Kampus: Jurnal Informasi Kegiatan Pengabdian Pada Masyarakat Khidmatuna: Journal of Research and Community Service ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Kadek Ayu Cintya Adelia
Program Studi Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Palangka Raya
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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Pemetaan Prediksi Wilayah Rawan Bencana Hidrometeorologi di Provinsi Kalimantan Tengah Indah Gumilang Dwinanda; Kadek Ayu Cintya Adelia; Robiatul Witari Wilda; Febrianto Afli; Tesdiq Prigel Kaloka; Desy Lutfiani Pratiwie
Jurnal Penelitian Pendidikan IPA Vol 10 No 2 (2024): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i2.6238

Abstract

Disaster is an event or a series of events that threatens and disrupts people's lives and livelihoods, caused by natural and/or non-natural factors and human factors, resulting in human casualties, environmental damage, property losses, and psychological impacts. Hydrometeorological disasters are events related to water, atmosphere, and oceans. It is recorded that hydrometeorological disasters occurring in Indonesia reach 86%, including floods, tornadoes, landslides, forest and land fires, and droughts. Specifically, in Central Kalimantan Province, forest and land fires and floods are frequent disasters. Both fall into the category of hydrometeorological disasters, closely related to the climate in Central Kalimantan. In this study, the prediction of rainfall, temperature, and humidity values in Central Kalimantan Province was calculated using the Auto-Regressive Integrated Moving Average method at 5 stations in the province. Subsequently, the prediction analysis of flood events was carried out using the machine learning random forest method based on the rainfall data, temperature, humidity, and event data. According to the calculation results, flood disasters are not predicted to affect almost all areas of Central Kalimantan Province. However, by the end of 2023, it is anticipated that most areas in the province will still be categorized as experiencing a normal level of drought. Notably, there are two areas that must increase awareness of this drought disaster, namely Pulang Pisau and Sampit, especially in October 2023.
Co-Authors Agung Samudra Amrosia Ratna Kodo Bartholomeus Pasangka Boin Rolando Sidabutar Christian Lesik Cypriana Lein Lolonrian Desi Theon Desri Benafa Desy Lutfiani Pratiwie Ety Kurniati Febrianto Afli Gabriela Elsandika Hilary Fridolin Lipikuni Indah Gumilang Dwinanda Kevin Bryan Kharisma Nugraha Putra Minsyahril Bukit Natalia Resoldes LBN Tobing Reni Agustiani Samsul Arifin Subhan Ilham Thareq Tesdiq Prigel Kaloka Thathit Suprayogi Uskenat, Kristina Wenti M Maubana Wenti Marlensi Maubana Wilda, Robiatul Witari Wilson Jefriyanto Yanti Baimau Yanti Boimau Yanti Boimau Yanti Yoricho Costapierro Sukoco Yunus Pebriyanto