Implementasi Data Mining Self Regulated Learning Siswa pada Lingkungan Belajar Daring di Perguruan Tinggi

Authors

  • Eka Budhi Santosa

DOI:

https://doi.org/10.32585/edudikara.v5i2.218

Abstract

Penelitian ini bertujuan untuk menerapkan data mining pada Self Regulated Learning Siswa dalam pembelalajaran daring di perguruan tinggi menggunakan algoritma k-means. Metode analisis cluster dalam penelitian ini adalah metode k-menas. Penelitian dilakukan dengan mengambil data mahasiswa yang mengambil matakuliah Pendidikan Antikorupsi di AMIK-ABA Harapan Bangsa Surakarta. Jumlah data mahasiswa sebanyak 188. Hasil penelitian menunjukkan bahwa dengan jumlah cluster menurut algoritma k-means yang diperoleh adalah delapan cluster

Downloads

Published

2020-06-13

How to Cite

Santosa, E. B. (2020). Implementasi Data Mining Self Regulated Learning Siswa pada Lingkungan Belajar Daring di Perguruan Tinggi. Edudikara: Jurnal Pendidikan Dan Pembelajaran, 5(2), 123–132. https://doi.org/10.32585/edudikara.v5i2.218

Issue

Vol. 5 No. 2 (2020): June

Section

Articles

License

  1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. 
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.