Classifying the parental involvement on school from home during covid-19 using c4.5 algorithm

Abstract

In implementing School from home (SFH) for kindergarten and elementary school children, the involvement of parents is needed. Parent involvement is behavior such as activities, support, decision making, advice, and example in the family to support the child's development. One of the factors that influence parental involvement is demographics. This study aims to classify the level of parental involvement based on demographic factors using the C4.5 algorithm. The research process starts with the preparation of the scale of parental involvement and then categorizes the parental involvement score into very high, high, medium, low, and very low. Demographic factors after conducting the data preprocessing are used as input in the C4.5 algorithm. The tree that has been developed shows that the root of the tree was the mother education level. The test results show that the accuracy of the C4.5 algorithm in classifying parental involvement is 86.67%. This result is good enough to be used in the classification process.