RECOMMENDATION OF STUDENT ADMISSION PRIORITIES USING K-MEANS CLUSTERING

Muttaqien, Hidayatul and KH, Musliadi and Muis, Abdul and Lutfi, Muhammad and Hazriani, Hazriani (2019) RECOMMENDATION OF STUDENT ADMISSION PRIORITIES USING K-MEANS CLUSTERING. 1st International Conference on Science and Technology (ICOST). ISSN 2593-7642

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Abstract

This study aims to investigate student’s characteristics based on three variables, namely grade point average (GPA), period of study, and administrative obedience in order to draw a recommendation for student admission priorities at Mulawarman University. This recommendation will be used as one of reference variable on new student recruitment. The 8.741 records of student data sourced from the university data warehouse were mined using K-Means clustering. This mining process produced three clusters, cluster-1 includes 1,758 students with centroid {0.158,0.694,0.663}, while cluster-2 embraces 4,928 students with centroid {0.970,0.700,0.675}, and cluster-3 with centroid {0.953,0554,0.386} covers 2.055 students. This result shows that cluster-2 has the best combination of centroid values, implied that new students from schools where students in cluster�2 graduated from are recommended as the high priority students to be admitted at Mulawarman University.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Dr. Eng. Hazriani S.Kom., M.T.
Date Deposited:	17 Jun 2022 03:27
Last Modified:	17 Jun 2022 03:27
URI:	http://repo.handayani.ac.id/id/eprint/143

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