Clusterization Using K-Means Clustering Algorithm In Predicting Student Graduation Time

Syaiful Zuhri Harahap (Labuhanbatu University)
Masrizal (Labuhanbatu University)

Jurnal Mantik
Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Education at the college level is a suggestion that students can get a degree in order to have knowledge in the field of computer science. Taking a decision from a BIG DATA for Predicting student graduation time is useful to provide a means of knowing the estimated time of a student's graduation by seeing which students fall into a certain cluster based on the parameters of the Cumulative Achievement Index (GPA) and attendance. It is hoped that it can help the campus and students to predict the graduation rate on time and to improve the reputation for the campus itself and timely graduation for students so that their graduation is not late, besides that the campus can do things that need to be done if they are predicted pass not on time like by making motivation and other things.