Pemodelan Spasial Kerentanan Kebakaran Hutan dan Lahan di Kalimantan Timur

Authors

  • Shania Ellens Novita Jurusan Fisika Universitas Andalas
  • Mutya Vonnisa Jurusan Fisika Universitas Andalas

DOI:

https://doi.org/10.25077/jfu.10.2.232-238.2021

Abstract

Telah dilakukan penelitian tentang pemodelan spasial kebakaran hutan dan lahan di Provinsi Kalimantan Timur. Tujuan penelitian ini adalah mengidentifikasi faktor-faktor pemicu, membangun model spasial dan memetakan tingkat kebakaran hutan dan lahan yang terjadi di Provinsi Kalimantan Timur sebagai wilayah ibukota baru Indonesia. Pemodelan spasial kebakaran hutan dan lahan ini diambil dengan mempertimbangkan faktor manusia dan biofisik yang mempengaruhi kebakaran hutan dan lahan. Metode Composite Mapping Analysis (CMA) digunakan untuk mengembangkan model. Penelitian ini menemukan bahwa jarak dari jaringan jalan, jarak dari desa/permungkiman, keberadaan gambut, tutupan lahan dan curah hujan berpengaruh signifikan terhadap risiko kebakaran lahan dan hutan. Model spasial yang diperoleh dari penelitian memiliki koefisien determinasi 0,90. Validasi model menunjukkan bahwa model dapat memprediksi risiko kebakaran hutan dan lahan dengan akurasi 54,33 %. Model tersebut menggambarkan bahwa sekitar 54,5 % risiko kebakaran hutan dan lahan disebabkan oleh faktor manusia diantaranya jarak terhadap desa, jarak terhadap jalan dan tutupan lahan, sedangkan sisanya sebesar 45,5% disumbang oleh faktor biofisik diantaranya keberadaan gambut dan curah hujan.

 

Spatial model of land and forest fire risk in East Kalimantan Province has been developed to identify the main causes of forest and land fires. The purpose of this study is also to build spatial models and map the level of forest and land fires in East Kalimantan Province as the candidate of new capital of Indonesia. The model was derived by considering human and biophysical factors that affect the forest and land fires. The Composite Mapping Analysis (CMA) method was used to develop the model. Distance from the road network, distance from villages/settlements, peatlands, land cover and rainfall have a significant effect on the risk of land and forest fires. The spatial model has a determination coefficient of 0.90. Model can predict the forest and land fire risk providing 54.33 % of accuracy. The model described that approximately 54.5 % of forest and land fire risk is contributed by human factors including distance to the village, distance to the road and land cover, while the rest of 45.5 %, is contributed by biophysical factors including peatlands  and rainfall.


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Published

2021-04-06

How to Cite

Novita, S. E., & Vonnisa, M. (2021). Pemodelan Spasial Kerentanan Kebakaran Hutan dan Lahan di Kalimantan Timur. Jurnal Fisika Unand, 10(2), 232–238. https://doi.org/10.25077/jfu.10.2.232-238.2021

Issue

Vol. 10 No. 2 (2021)

Section

Articles

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