Analisis Faktor-Faktor yang Mempengaruhi Pemahaman Belajar Siswa Secara daring dengan Menggunakan Metode Stepwise

Abstract

During the pandemic, new rules for education in Indonesia were imposed, namely that every student was required to learn from home. Regression analysis as a statistical technique used to analyze the relationship between dependent variables and independent variables. This method can selectively choose and select variables that have an effect or no effect on the linear regression model, and exclude variables that do not meet the overall criteria as seen from the results of the t test, F test and the value of the coefficient of determination (R). Of the four factors studied, three factors were selected that influenced students' understanding of online learning, namely parental supervision (1), learning from the teacher (3), and study time (4). which is a variable to form a regression model from the level of understanding of students in the online period. The stepwise regression model formed is =1,937+0,4491+0,2813+0,2634. Meanwhile, device/PC (2) is excluded from the equation because it has a very small correlation. The percentage of variation obtained using the stepwise method is 77,08% with a significant level of 0,05 meaning that the Y variation in the multiple linear regression equation is 77,08%. This variable has quite an effect on students' understanding of learning during the online period, especially at SMAN 2 Kota Tebing Tinggi.