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Land use is an indicator of human needs and behaviors that illustration by land and linkage to physical, social, political, and technological factors. The objective of this study 1) to study the relationship between driving factors and land use 2019 by using logistic regression and correlation. Land use is classified into 13 categories which are Integrated farm, paddy field, cassava, para rubber, mixed orchard, vegetables, maize, pasture, aquacultural land, forest area, miscellaneous land, building area, waterbody and 9 driving factors consist of soil drainage, distance from stream, distance from pond, distance from village, slope, distance from road, annual rainfall, distance from fault, and DEM (digital elevation model) 2) to study the simulation of land use change in 2036 by using MARKOV mode projection to the future for qualitative area to the CLUEMondo model. The result of the forecasting of land use change found that DEM, distance from village, distance from pond and distance from road has a significant influence on land use class. Herein, areas of forest 256,652 rai, paddy field 132,889 rai, para rubber 38,681 rai, building area 34,836 rai, water body 33,121 rai, mixed orchard area 13,154 rai, cassava area 11,946 rai, miscellaneous area 5,177 rai and aquacultural land 3,342 rai Respectively
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