K-Means clustering model to improve competency of diploma program graduates
K-Means clustering model to improve competency of diploma program graduates

Summary/Abstract: Completion of studies by students is the result of the process carried out in the learning process in university. The problem that arises related to this condition is that many diploma students are often late in completing their studies or even dropping out of school. Departments at the university do not have a significant measuring tool in predicting student graduation rates based on the competencies mastered. This paper proposes a program model to predict the basic abilities of Information System Diploma Program students to be mapped in the level of ability in an effort to reduce the delay in the learning process. The method used in the program model was a quantitative method with a K-Means Clustering model approach. The results showed that there was a significant increase in the timely graduation rate for Information System Diploma Program.

• Details
• Contents