Determining Study Groups Based on Student Profile Criteria Using K-Means Method

  • Denny Kurniadi Universitas Negeri Padang
  • Rahmadona Safitri Engineering Faculty, Universitas Negeri Padang
  • Dedy Irfan Faculty of Engineering, Universitas Negeri Padang
  • Khairi Budayawan Faculty of Engineering, Universitas Negeri Padang
Keywords: k-means clustering, grouping criteria, student profile

Abstract

Students of PTI FT-UNP Study Program are arranged into study groups based on one criterion, namely the entry route and is carried out on new students. As a result, a study group that is formed has far differences between one group and another regarding academic ability, regional origin, school origin and other factors. This is not beneficial for the interest and motivation to learn students and teachers also have difficulty in determining learning strategies between student study groups. Improvements in the preparation of study groups can be done by determining student profiles as the basis for preparation. Through the application of the K-Means method which is implemented in an application, the student clustering which is used as the basis for the distribution of the formation of study groups is proven to be better. The resulting study group succeeded in showing a heterogeneous study group among its members and homogeneous in each study group.

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Wuryandani, Wuri, Interaksi Sosial dan Ability Grouping.Website:http://staffnew.uny.ac.id/upload/132309073/pengabdian/sapen18-november-2014.pdf, diakses tanggal 25 Oktober 2021.

Published
2022-04-01
How to Cite
[1]
D. Kurniadi, R. Safitri, D. Irfan, and K. Budayawan, “Determining Study Groups Based on Student Profile Criteria Using K-Means Method”, JTIP, vol. 14, no. 3, pp. 272-277, Apr. 2022.
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