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Alya Cintami
Universitas Islam Indonesia
Computer Science & IT

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Analysis of factors affecting the area of forest and land fires in Indonesia uses spatial regression Geoda and SaTScan Tuti Purwaningsih; Alya Cintami
Jurnal Informatika Vol 12, No 2: July 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1331.898 KB) | DOI: 10.26555/jifo.v12i2.a12340

Abstract

This study discusses the factors that influence the extent of forest and land fires in Indonesia that relate several other factors such as rain, fire events, and wind speed which were the events during 2015. Forest fires are one of the environmental and forest problems that is a local and global concern. Countermeasures have been carried out for a long time but are relatively low. By looking for the best regression model with a significance level of 0.05 or 95% using the Spatial Autoregressive Model (SAR) method, the coefficient of determination of 25.00% is obtained which can be obtained by the research regression model and leaves 75.00% needed by other variables that are variables changed
Co-Authors Tuti Purwaningsih