Browsing by Author "Auliya, Nadiya"
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- ItemANALYSIS OF STUDENT BEHAVIOR ON E-LEARNING DUE TO COVID 19 PANDEMIC(Solid State Technology, 2020) Sukandi, Pipin; Drupadi, Peggy; Safira, Ghea; Mulyono, Shila; Auliya, NadiyaIn 2020, all countries are no exception including Indonesia in the event of coronavirus outbreak (Covid-19) starting in Wuhan City, China. Coronavirus affects activities that are usually carried out outdoors. One of the activities that became disrupted was face-to-face learning that is usually done on campus now being online conducted at home with e-learning media. This research is to find out if there are behavioral changes during e-learning due to the Covid 19 pandemic. The method used is the quantitative method. The data was collected by handing out questionnaires to Students of the Department of Management S1 class of 2017 Regular A Universitas Widyatama as many as 300 respondents. Data analysis is conducted using validity test, reliability test, classic assumption test, hypothesis test, and determination coefficient test. The results showed 71.2% variation in E- learning variables can be explained by student behavior variables while the remaining 28.8% is explained by other variables not proposed in the study. The results of this study based on simultaneous and partial testing show that there is a significant influence between student behavior variables (X) on Elearning Learning (Y).
- ItemANALYSIS OF STUDENT BEHAVIOR ON E-LEARNING DUE TO COVID 19 PANDEMIC(Solid State Technology Volume: 63 Issue: 4, 2020) Sukandi, Pipin; Drupadi, Peggy; Safira, Ghea; Mulyono, Shila; Auliya, NadiyaIn 2020, all countries are no exception including Indonesia in the event of coronavirus outbreak (Covid-19) starting in Wuhan City, China. Coronavirus affects activities that are usually carried out outdoors. One of the activities that became disrupted was face-to-face learning that is usually done on campus now being online conducted at home with e-learning media. This research is to find out if there are behavioral changes during e-learning due to the Covid 19 pandemic. The method used is the quantitative method. The data was collected by handing out questionnaires to Students of the Department of Management S1 class of 2017 Regular A Universitas Widyatama as many as 300 respondents. Data analysis is conducted using validity test, reliability test, classic assumption test, hypothesis test, and determination coefficient test. The results showed 71.2% variation in E- learning variables can be explained by student behavior variables while the remaining 28.8% is explained by other variables not proposed in the study. The results of this study based on simultaneous and partial testing show that there is a significant influence between student behavior variables (X) on Elearning Learning (Y).