Decision tree analysis reveals high classification recall for customer satisfaction in computer training services, highlighting the feasibility of automated quality assessment.
Customer satisfaction is an important reference in the sustainability of a business, as is the case with the computer training business at Radar Education Center which has competitors in its business. Until now there is no measuring tool for customer satisfaction at the Radar Education Center, this problem will be solved through the Decision Tree method using the C4.5 algorithm to analyze customer satisfaction. The data used comes from Radar Education Center customer data which consists of 80% training data and 20% testing data. After calculating accuracy using the Confusion Matrix, the Class Precision value was "yes" 83.33% and Class Recall "yes" was 100%.
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Asep Surahmat (2024) studied this question.
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