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All Journal BIMASTER CAUCHY: Jurnal Matematika Murni dan Aplikasi JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Kebijakan Perikanan Indonesia Sarwahita : Jurnal Pengabdian Kepada Masyarakat Variance : Journal of Statistics and Its Applications Insan Cita Jurnal Pengabdian Kepada Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS
Debataraja, Naomi Nessyana
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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SPATIAL ASSESSMENT OF PEAT-LAND FIRES UTILIZING BINARY LOGISTICS REGRESSION IN WEST KALIMANTAN Debataraja, Naomi Nessyana; Kusnandar, Dadan; Simanjuntak, Martina
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0155-0166

Abstract

This study contributes to the understanding of forest fire susceptibility by applying a binary logistic regression model combined with a Geographic Information Systems (GIS) to map hotspot vulnerability in West Kalimantan, Indonesia, an approach not extensively explored in previous research. Forest fire is one of the environmental problems. In West Kalimantan, land fires are a routine disaster that is experienced almost every year. In this paper, a binary logistic regression model was used to identify land fire in west Kalimantan. In addition, mapping of confidence of hotspot susceptibility was carried out in West Kalimantan. The data used were 72 hotspots spread across in seven districts of West Kalimantan in 2020. The independent variables used were land cover, slope, topography, distance of hotspots to rivers, distance of hotspots to roads and distance of hotspots to settlements. While the dependent variable was the point which was classified into hotspots and non-hotspots. Results showed that the method identified that the variables significantly influencing land fires include the distance of the points to the river and the distance of the points to the road. The Binary Logistic Regression model of the land fire in West Kalimantan has a classification accuracy rate is 84.03%. From the results of weighting and visualization using GIS shown that the area that has a very high level of vulnerability is the city of Pontianak (42.97%). Meanwhile, areas that have a moderate level of vulnerability include Kayong Utara, Kubu Raya, Mempawah, Sambas, Sanggau, Sekadau and Sintang districs. Kubu Raya and Kayong Utara districts in the medium vulnerability level have the largest forest fire districts (43.70% and 41.25%). Meanwhile, districts that are in the very low vulnerability level are Bengkayang, Singkawang, Landak and Melawi districts.
Co-Authors ., Putri Andani, Wirda Anugrahnu, Joannes Fregis Philosovio Aprizkiyandari, Siti Banu, Syarifah Syahr Bertiani, Marsela Dian Cahyani, Cristy Framedia Dadan Kusnandar Desdianti, Maycandra Etika, Ezra Evy Sulistianingsih Hamdari, Ela Hendra Perdana HUDA, NUR’AINUL MIFTAHUL Imro'ah, Nurfitri IMRO’AH, NURFITRI Irvandi, Firzakalpa Syafiq Marlisa, Herina Martha, Shantika Neva Satyahadewi Nuruljannah, Auliya Perangin Angin, Christi Alemsa Pratama, Pandu Pasha Pratama, Yogi Prianti, Sabrina Eka Priyanto, Dwi Ari Rizki, Setyo Wira Rossie Wiedya Nusantara Salsabila, Yumna Hanum Simanjuntak, Martina Sumarni, Sania Lina Tamtama, Ray Utari, Shindy Yoke Lestyowati Yudhi