Combination of Decision Tree and K-Means Clustering Methods for Decision Making of BLT Recipients in the Covid-19 Period

The economic conditions during the Covid-19 outbreak had an impact on society globally. number of people who have experienced layoffs has family. that helps community encourages government to increase efforts social assistance in form BLT. However, distribution BLT was not right target, there were still many really could afford receive BLT, while those able get assistance. Therefore, it is important this study use a combination K-Means Cluster and Decision Tree methods be used recipient decision making, with aim increasing recipients as expected. calculation results obtained using referring criteria for data error level -2.476190476 <from tolerance 6.84.