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

Marlince Nababan, Cristian Vieri Sinaga, Indra Wirayudha Napitupulu, Adzisyah Rahman, Steven -
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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.
k -均值聚类方法在教育工作者胜任力绩效评估中的应用
需要对讲师一学期的教学能力进行评估。评价是通过学生学术信息系统对学生进行的评估。使用系统复习是分开的,因为许多学生需要关心填满的东西。在那里,作者试图使用主成分分析(PCA)技术和K-Means方法分析分发给学生的问卷结果的值,其中PCA减少了数据。同时,K-Means假设最接近研究结果的值,得出3(3)个聚类中,聚类1和聚类3的最大距离为0.5475。
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