Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Social Service and Research
Nissa Auwliya Luth Dendy
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Utilization of Learning Management Systems (LMS) Salam Al Azhar as the Learning Process in Al Azhar 35 Islamic International Primary School Nissa Auwliya Luth Dendy; Lu Wang
International Journal of Social Service and Research Vol. 3 No. 10 (2023): International Journal of Social Service and Research (IJSSR)
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v3i10.582

Abstract

This paper explores the use of Learning Management Systems (LMS) in a primary school setting, focusing on Al Azhar 35 Islamic Primary School. LMS offers numerous advantages over traditional learning systems, and its application in primary schools is relatively rare in Indonesia. The study employs the Process Mining Project Methodology (PM2) to analyze LMS data, assess its readiness, and examine its suitability for process mining. The study identifies structured data with relevant Case ID, Activity, and Timestamp fields, indicating the data's suitability for process mining. The frequently observed LMS activities include Dashboard, Course Overview, and My Course. These activities are analyzed to assess the LMS's practicality, efficiency, and advantages. The findings reveal that LMS is beneficial for both teachers and students. The study concludes that PM2 methodology is a suitable approach for process mining in education, and the data from Al Azhar 35's LMS is ready for analysis. Future research opportunities include analyzing the learning processes in more diverse case studies, improving data quality, and exploring learning patterns in various classes, semesters, and courses.
Co-Authors Lu Wang