Analysis of Students Satisfaction Towards Offline Learning Performance Using C4.5 Algorithm in Department of Informatics at Universitas Muhammadiyah Kalimantan

Abstract

The quality of human resources is closely related to the quality of the education, because education is an important role for the development and progress of the nation. Educational institutions should be able to guarantee the student satisfaction. Students will perceive quality of service from educational institution, students will feel dissatisfied if the quality of service does not match student expectations. Dissatisfied students will show an uncomfortable learning behavior, such as not having the learning enthusiasm. Determine the level of student satisfaction using the decision tree C4.5 algorithm. According to Taufiq and Yudihartanti, C4.5 algorithm has the advantage that able to process numeric and discrete data, can handle missing attribute values, produce rules that easy to interpret. Through the calculation of the C4.5 algorithm, it produces a decision tree with 7 rules of 5 satisfying decisions and 2 dissatisfied decisions. The Emp3 attribute is the most influential aspect of Department of Informatics students satisfaction at Universitas Muhammadiyah Kalimantan Timur. Accuracy of the C4.5 model used in this research is 88,89%.