Using C4.5 algorithm to predict students monthly payment on islamic boarding school

Abstract

Abstract Assalafi AlFithrah is islamic boarding school located in Meteseh Semarang. In 2012 until 2016, it received 262 students from various regions in Indonesia. Fulfillment of life necessities of students is one of the things that should be considered by boarding school management. The basic necessities of life is food, clothing, place, education and health care. The monthly payment needed to cover the necessities of students in Assalafi AlFithrah. There are number of students whos payment were delayed. From these problems, it was necessary to predict the delay of monthly payment to estimate whether students will be late to pay or not. Data mining as solution to predict the delay of the monthly payment on students. One of a robust classification technique of data mining on categorical data is C4.5. Experiment conducted based on Knowledge Discovery Database (KDD) with C4.5 algorithm resulted average accuracy 81.15%, with average value of precision 77.62% and average value of recall 91.90%. This Application can give recommendations for scholarship to poor families. With this application can improve service and trust of parents towards the survival of students in schools.