APPLICATION OF THE K-MEANS CLUSTERING METHOD FOR PERFORMANCE ASSESSMENT BASED ON THE COMPETENCY OF EDUCATORS

Authors

  • Marlince Nababan Universitas Prima Indonesia
  • Cristian Vieri Sinaga a:1:{s:5:"en_US";s:16:"Sistem Informasi";}
  • Indra Wirayudha Napitupulu Universitas Prima Indonesia
  • Adzisyah Rahman Universitas Prima Indonesia
  • Steven - Universitas Prima Indonesia

DOI:

https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v7i1.3951

Abstract

The ability of lecturers to teach for 1 (one) semester needs to be evaluated. Evaluation is a student assessment through a student academic information system. Review using the system is separate because many students need to care about the filled things. There the author tries to analyze the values ​​from the questionnaire results distributed to students using the Principal Component Analysis (PCA) technique and the K-Means method, where PCA reduces data. At the same time, K-Means assumed the values ​​closest to the study's results and concluded that of the 3 (three) clusters, the maximum distance was 0.5475 in cluster 1 and cluster 3.

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Published

2023-08-04

How to Cite

[1]
M. Nababan, C. V. Sinaga, I. W. Napitupulu, A. Rahman, and S. -, “APPLICATION OF THE K-MEANS CLUSTERING METHOD FOR PERFORMANCE ASSESSMENT BASED ON THE COMPETENCY OF EDUCATORS”, JUSIKOM PRIMA, vol. 7, no. 1, pp. 50-60, Aug. 2023.

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