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Predicting hotspot occurrence as an indicator of forest and land fires is essential in developing an early warning system for fire prevenUon. This work applied a spatial decision tree algorithm on spatial data of forest fires. The algorithm is the improvement of the conventional decision tree algorithm in which the distance and topological relationships are included to grow up spatial decision trees. Spatial data consisted of a target layer and ten explanatory layers representing physical.doi:10.12928/telkomnika.v12i2.68 fatcat:ujb7ivxy6neudjy53cn5ps64om