PREDIKSI LUAS AREA KEBAKARAN HUTAN BERDASARKAN DATA METEOROLOGI DENGAN MENGGUNAKAN PENDEKATAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS)

Authors

  • Winalia Agwil
  • Izzati Rahmi HG
  • Hazmira Yozza

DOI:

https://doi.org/10.25077/jmu.1.1.77-84.2012

Abstract

Luas area kebakaran hutan dapat diduga berdasarkan data
meteorologi antara lain koordinat sumbu x spasial suatu lokasi dalam
peta, koordinat sumbu y spasial suatu lokasi dalam peta, bulan, hari, in-
deks FFMC, indeks DMC, indeks DC, indeks ISI, temperatur, kelemba-
ban relatif, kecepatan angin dan curah hujan. Pendugaan terhadap luas
area kebakaran hutan dapat diduga dengan menggunakan pendekatan
Multivariate Adaptive Regression Spline(MARS). Data yang digunakan
adalah data meteorologi wilayah Portugal. Hasil pendugaan luas area
kebakaran hutan dengan menggunakan MARS menghasilkan beberapa
variabel yang berpengaruh secara signikan yaitu : FFMC, hari, temper-
atur, DMC, kelembaban relatif, bulan, koordinat sumbu y spasial suatu
lokasi dalam peta, DC, dan koordinat sumbu x spasial suatu lokasi dalam
peta dengan tingkat kepentingan berturut-turut 100%, 90.9%, 73.5%,
34.5%, 25,1%,23.1%, 19.6%, 17.9% dan 5.7%.

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Published

30-10-2012

Issue

Vol. 1 No. 1 (2012)

Section

Articles

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