Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
