Penerapan Metode KMeans dan Cobweb Terhadap Analisis Prestasi Akademik Mahasiswa yang Mengikuti Kegiatan Kemahasiswaan
Main Article Content
The growth of an university can be seen with studentâ€™s academic records which can be used for determining studentsâ€™ quality. Besides studentâ€™s academic records, other component that can be used to determine studentsâ€™ quality is studentâ€™s participation in non-academic activities which most of universities have to develop their studentâ€™s softskill during their study period. Based on these data provision, we can analyze how non-academic activities affect studentâ€™s academic achievement. In this research, the data that used for analysis are studentsâ€™ academic data and studentsâ€™ activities data from Maranatha Christian University as case study. This analysis use one of data mining technique, which is clustering . The clustering method that used for this research are Kmeans andCobweb. Clustering method groups students and alumni that participate in student activities or not by looking and the studentâ€™s and alumniâ€™s faculty, major, years of study, and if the student or alumni participate in student activites, we can analyze it with how many activities that the student and alumni had.
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How to Cite
N. C. Sudharmono and M. Ayub, “Penerapan Metode KMeans dan Cobweb Terhadap Analisis Prestasi Akademik Mahasiswa yang Mengikuti Kegiatan Kemahasiswaan”, JuTISI, vol. 1, no. 2, Aug. 2015.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial used, distribution and reproduction in any medium.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.