Classification of province based on dropout rate using C4.5 algorithm

Education in a certain region reflects the region. In Indonesia, the rate of schools' dropout rate in each province is considered high. This urges the effort to reduce the schools' dropout rate. One of the ways to reduce it is by knowing the characteristic of province whose schools' dropout rate is low. From those characteristics, we can classify to know which characteristic is similar to others, and it can be indicated as one of causative factors of the schools' dropout rate itself. Data mining has been used to analyze data and can be used to solve this kind of problem. One of data mining's method, C4.5 algorithm is chosen to be the method because it is proved that the result is good and C4.5 is good for data which has many attributes. The result showed accuracy rate of 71.2%. Based on the result, it can be concluded that the development of the classification of provinces based on schools dropout rate using C4.5 algorithm was accurate to use.