Open AccessData Mining Approach for Learning management system
Author(s) -
Harry Dhika,
Fitriana Destiawati,
Surajiyo,
Musa Jaya
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1088/1/012013
Subject(s) - learning management , covid-19 , computer science , pandemic , distance education , e learning , educational technology , knowledge management , data science , multimedia , world wide web , mathematics education , the internet , medicine , mathematics , disease , pathology , infectious disease (medical specialty)
During the pandemic, COVID-19 had an impact on education. All academic activities are hampered, teaching and learning activities must continue to run, and the efforts made are to do distance learning or e-learning. This relates to the integration of systems that must be synchronized with computers, mobile, and technology that can manage learning media electronically. In this study, the LMS in the COVID-19 pandemic period aims to optimize a learning system and provide convenience in the use of technology to deal with this pandemic. The results of this study are explaining the testing of the COVID-19 dataset with the concept of data mining and providing convenience in the application of Moodle-based e-learning so that the development of LMS can be maximized.