Abstract
This study applies the C4.5 algorithm for the classification of satisfaction patterns of E-KTP services at the Pematang Bandar Sub-District Office. This type of research is a classification with the concept of data mining by involving 140 questionnaire data on the satisfaction of E-KTP services at the Pematang Bandar Sub-District Office which are categorized as: very satisfied, satisfied, quite satisfied, dissatisfied. There are four attributes that affect the satisfaction of E-KTP services including: registration, recording, time, service. The method used in this research is knowledge discovery in database (KDD) to determine data accuracy. The results showed that there was an accuracy rate of 95.24%, with a class precision value of 93.33% for satisfied predictions and a class precision value of 100.00% for dissatisfied predictions. Class recall for satisfied is 100.0% and class recall for dissatisfied is 85.71%. From the results of research that has been done by researchers, it can be concluded. E-KTP service satisfaction can be classified by utilizing data mining techniques using the C4.5 algorithm for classification of E-KTP service satisfaction patterns.
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