APPLICATION OF THE K-MEANS CLUSTERING METHOD FOR PERFORMANCE ASSESSMENT BASED ON EDUCATOR COMPETENCE

Authors

  • Paul Erikson Universitas Prima Indonesia
  • Bobby Rahman Angkat Universitas Prima Indonesia
  • Eliza Christovel Yosua Universitas Prima Indonesia
  • Mutiara Sembiring Universitas Prima Indonesia
  • Marlince Nababan Universitas Prima Indonesia

DOI:

https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v7i1.3869

Abstract

Performance appraisal is one thing to respect someone while working in an institution, one of which is a private higher education institution. To respect the performance of resources, there needs to be a value assigned to someone. Assessments carried out for one semester need to be reviewed again because during filling in the student assessments do not fill in according to their understanding so that a review needs to be carried out again. The assessment was carried out using the K-Means method by applying the concept of the centroid value. There are 4 (four) variables used, namely pedagogic competence, personal competence, social and professional competence with a value of K = 3. The maximum number of observations for cluster 3 is 368 while the value of Distances Between Cluster Centroids shows 2 suitable clusters, namely cluster 1 and cluster 2, which is 1.7020. The author gives suggestions to remove outlier data before entering the data to be trained into the algorithm to improve visualization if the dataset is large.

Key Word: Performance Appraisal, Data Mining, K-Means

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Published

2023-08-30

How to Cite

[1]
P. Erikson, B. R. Angkat, E. C. Yosua, M. Sembiring, and M. Nababan, “APPLICATION OF THE K-MEANS CLUSTERING METHOD FOR PERFORMANCE ASSESSMENT BASED ON EDUCATOR COMPETENCE”, JUSIKOM PRIMA, vol. 7, no. 1, pp. 250-254, Aug. 2023.

Issue

Vol. 7 No. 1 (2023): Jurnal Sistem Informasi dan Ilmu Komputer Prima (JUSIKOM Prima)

Section

Articles

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Copyright (c) 2023 Paul Erikson, Bobby Rahman Angkat, Eliza Christovel Yosua, Mutiara Sembiring, Marlince Nababan

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