Comparative Analysis of Algorithms Naïve Bayes and C45 for Student Satisfaction with Administrative Services

One of the reasons for increasing the number of people interested in schools is the service aspect. This is faced with the demands of the interests of various parties, such as leaders, shareholders (foundations), teachers and students at Siti Banun Vocational School. For this reason, good and effective management is needed so that the target of service recipients, namely the level of student satisfaction with administrative services, can be achieved. Data mining is an academic field focused on the systematic exploration and analysis of extensive datasets to discover valuable insights through the extraction of knowledge and detection of patterns. The best classification algorithm currently is the C45 algorithm and Naïve Bayes. The accuracy and AUC values will be compared. From 126 RPL Department Data from Class From the comparison of the amount of training data and test data, the best level of accuracy and AUC is by dividing test data: training data 10: 90. The accuracy and AUC values for the C45 algorithm are 85% and 88%. each. The accuracy and AUC values for the Naïve Bayes algorithm are 92% and 94% respectively.