| Abstrak/Abstract |
The literature review found that only a few studies in Indonesia have been applied to modeling peatlands fire
occurrences. In our previous studies, various machine learning classification approaches are applied to predict forest fire
occurrence in the peatlands area. Our previous empirical study found that the datasets of fire hotspot areas, especially for
data from the South Kalimantan area, need to be more balanced. In this paper, we consider ADAptive SYNthetic
(ADASYN) method for the sampling approach to balance the datasets. We found that by balancing the data, the
performance of the classification method can improve about 2-4%. |
