Analisis Perilaku Siswa pada Pembelajaran Daring Menggunakan k-Means Clustering dari Log Data Moodle pada SMPN 6 Salatiga
DOI:
https://doi.org/10.32524/jusitik.v7i2.1108Keywords:
online, log data, clustering analysis, k-means, learning management systemAbstract
The Covid-19 pandemic in 2020 caused delays in the implementation of education in all countries, especially in Indonesia. Education must be conducted online because of the government's policy to break the chain of the spread of Covid-19. Online learning can be supported by one of the platforms, namely Moodle, which is an e-learning-based digital classroom for interaction between teachers and students. This research analyzes the behavior pattern of 215 students of grade 7 at SMPN 6 Salatiga in 2020 in the Crafts subject. Data is taken from log data Moodle. The analysis method used is k-means clustering. The research results show that the behavior of grade 7 students at SMPN 6 Salatiga in 2020 in the Crafts subject is divided into three clusters: the low activity cluster with 138 students, the medium activity cluster with 62 students, and the high activity cluster with 15 students.
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Copyright (c) 2024 Jeremy Evans, Yessica Nataliani
This work is licensed under a Creative Commons Attribution 4.0 International License.