Classification using C4.5 on Student Capabilities Dataset

The transition from competition era to capability era is starting nowadays. It urges the student to also have capabilities of becoming something, not only the competitions. The need of capabilities for the development of students is to support the competition of profession. For that, curriculum of school is made to strengthen the capabilities. The objective of this research is to know impacts of the use of the said curriculum in capabilities of students as workers. There will be used datasets that is collected by sending out questioners about students' capabilities where the collected answers are grouped into S (Often), SS (Very Often) and J (Not Often). The classification itself will be one using one of Decision Tree's methods, C4.5, while the performance will be measured based on confusion matrix. From the result given, C4.5 with holdout shuffled sampling as its technique to validate the method classified the problem with 78.58% of accuracy. The generated tree of C4.5 shows few attributes that affected the capabilities level of students, which are the competencies of students, having ideas and active in activities.