Application Of The C4.5 Algorithm To Find The Best Location For Family Planning Program Expansion

Abstract

Indonesia is one of the most populous countries in the world. This population explosion occurred because of the very high rate of population growth. This situation causes the burden of the state to be even greater. Because it is related to the high and low burden of the state to provide a decent life for every citizen, the government provides a series of efforts to suppress the rate of population growth so that a larger population explosion does not occur. One way that the government does is to promote the Family Planning Program (KB). The family planning program launched by the government to reduce the high birth rate has not been fully implemented because the location of the family planning counseling program is not right on target. Therefore, we need a system that can assist the National Population and Family Planning Agency (BKKBN) in determining the location of Priority Counseling for Family Planning Programs so that the counseling is right on target. Data Mining is the activity of extracting or mining knowledge from big data, the C4.5 algorithm is the algorithm used to build a Results Tree from the data. The C4.5 algorithm is usually used to classify which will then be used in determining the priority locations of family planning programs.