K-Means Algorithm to Group Students’ Academic Status at STMIK Palangka Raya

Lili Rusdiana


As one of clustering methods K-Means algorithm can be used to group 93 data of STMIK Palangka Raya students into 3 namely pass, active, and inactive. The stages of it produce 9 iterations since the displacement of the group in which there is a movement from one group to another because the change value of the object function. The iteration can be stopped at the 9th because the value of the object function change is below the given threshold value of 0.1 and the absence of group movement in the data used. The 9 iterations that occur indicate the rise and fall the change value of object function and data transfer in the location of the group.

Kata Kunci

Grouping; K-Means Algorithm; Students’ Academic Status

Teks Lengkap:



Oyelade, O.J, Oladipupo, O.O., dan Obagbuwa, I.C., 2010, Application of k-Means Clustering algorithm for prediction of Students’ Academic Performance, International Journal of Computer Science and Information Security (IJCSIS), no 1, vol 7, hal 292-295.

Rosmiati dan Lili, R., 2016, Aplikasi Berbasis Fuzzy C-Means Dalam Penentuan Predikat Kelulusan Mahasiswa, Jurnal Ilmiah Ilmu Komputer, no 2, vol 2, hal 1-9.

yulius, P. dan Sitti, N. A., 2017, Pengelompokan Tingkat Kelulusan Mahasiswa Menggunakan Algoritma K-Means, Seminar Nasional APTIKOM (SEMNASTIKOM), Jayapura, November 3.

Harwati, Ardita, P.A., dan Febriana, A.W., 2015, Mapping Student’s Performance Based on Data Mining Approach (A Case Study), Agriculture and Agricultural Science Procedia 3, hal 173 – 177.

Lili, R., dan Sam’ani, 2016, Pemodelan K-Means Pada Penentuan Predikat Kelulusan Mahasiswa STMIK Palangka Raya, Jurnal Saintekom, no 1, vol 6, hal 1-15.

The Regulation of the Minister of Research, Technology and Higher Education of the Republic of Indonesia no.44 year 2015 on National Standards of Higher Education, 2015, Jakarta

Eko, P., 2012, Data Mining Konsep dan Aplikasi Menggunakan MATLAB, Andi, Yogyakarta.

DOI: http://dx.doi.org/10.22303/csrid.10.2.2018.124-134


  • Saat ini tidak ada refbacks.

Komentar di artikel ini

Lihat semua komentar



Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

CSRID Journal Editor's Office:

Universitas Potensi Utama. Jl. K.L. Yos Sudarso Km 6,5 No.3-A Telp. (061) 6640525 Ext. 214 Tanjung Mulia Medan 20241