Open AccessThe Use of Technology in Online Learning to Improve Discipline
Author(s) -
Roikatus Sa’diyah,
Suad,
Gunawan Setiadi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1823/1/012084
Subject(s) - multicollinearity , psychology , variables , statistics , normality test , test (biology) , linear regression , mathematics , descriptive statistics , population , regression analysis , normality , simple linear regression , f test , mathematics education , statistical hypothesis testing , sociology , demography , paleontology , biology
This study aims to analyze the use of technology in online learning on discipline. The research design used is descriptive correlational with inter-variable relationship design. The approach used in this research is quantitative. This type of research is correlational or looks for the influence between the independent variable teacher work motivation (X1) and principal leadership (X2), with the dependent variable: teacher discipline (Y). The research will be conducted July to August 2020 in 32 public elementary schools. The total population is 254 and 150 samples are randomly selected. The technique of data collecting is questionnaires. The data distribution will be tested using normality test, homogeneity test, linearity test, multicollinearity test. The data then analyzed using simple linear regression analysis test, t test, multiple linear regression analysis by SPSS. It was know that the data were normally distributed, homogeneous, linear and not multikolinier. Hypothesis tests found: 1). there is a relationship variables X1 to X2 by the equation Y = 30.949 + 0.741 X1 accepted as true., 2). there is a relationship X 2 to Y by the equation Y = 25.189 + 0.778 X 2 . 3). there is a positive relationship between motivation and academic leadership principals to teachers discipline expressed by the equation Y = 14.459 + 0.459 X1 + 0.443 X2.