Implementation of the K-Means Algorithm on Learning Outcomes and Self-Regulated Learning

Autor:	Anisatul Farida, Nugroho Arif Sudibyo
Rok vydání:	2022
Zdroj:	UNION: Jurnal Ilmiah Pendidikan Matematika. 10:147-154
ISSN:	2579-3209 2339-224X
DOI:	10.30738/union.v10i2.12233
Popis:	This study aims to apply data mining to Student Self-Regulated Learning and learning outcomes in online learning in higher education using the k-means algorithm. The cluster analysis method in this research is the k-means method. The research was conducted by taking data from students who took the Statistical course Informatics Engineering, the faculty of Computer Science at Duta Bangsa University Surakarta. The number of student data was 22 data. The results show that the number of clusters according to the k-means algorithm is 3.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d9674964d783d1e78eaed6f439939e22 https://doi.org/10.30738/union.v10i2.12233 Zobrazit plný text záznamu