Land Price Classification Map in Jakarta Using Random Forest and Ordinary Kriging

This research provides information about land prices in Jakarta by classifying using the Random Forest method. Where is a data mining technique that usually used to perform classification and regression. one of best methods. It found accuracy will increase dramatically as result voting select class types ensemble tree growth. The method helps providing with per meter less than IDR 15 million, price range 25 million more million. With fairly good 82%, this can classify where permeter tested match predicted accurately. Classification performed on unbalanced which then oversampled ADASYN Assisted doing spatial interpolation Ordinary Kriging Semivariogram, be seen distribution area map. predict estimated around has known price. Root Mean Square Error (RMSE) results Semivariogram model are obtained from lowest RMSE value, namely Spherical value 1.014896e7. contribution provide reliable method, performance analysis at unknown points so each class.