1st International Conference on Science and Technology, ICOST 2019, 2-3 May, Makassar, Indonesia

Research Article

Recommendation of Student Admission Priorities Using K-Means Clustering

Download1584 downloads
  • @INPROCEEDINGS{10.4108/eai.2-5-2019.2284614,
        author={Hidayatul  Muttaqien and Muhammad  Lutfi and Musliadi  KH and Abdul  Muis and Hazriani  Zainuddin},
        title={Recommendation of Student Admission Priorities Using K-Means Clustering},
        proceedings={1st International Conference on Science and Technology, ICOST 2019, 2-3 May, Makassar, Indonesia},
        publisher={EAI},
        proceedings_a={ICOST},
        year={2019},
        month={6},
        keywords={recommendation k-means clustering priorities centroid},
        doi={10.4108/eai.2-5-2019.2284614}
    }
    
  • Hidayatul Muttaqien
    Muhammad Lutfi
    Musliadi KH
    Abdul Muis
    Hazriani Zainuddin
    Year: 2019
    Recommendation of Student Admission Priorities Using K-Means Clustering
    ICOST
    EAI
    DOI: 10.4108/eai.2-5-2019.2284614
Hidayatul Muttaqien1,*, Muhammad Lutfi1, Musliadi KH1, Abdul Muis1, Hazriani Zainuddin1
  • 1: Departement of Computer System, Sekolah Tinggi Manajemen Informatika dan Komputer Handayani, Indonesia, 90321
*Contact email: hidayatul@student.handayani.ac.id

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