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Journal : Universal Journal of Science and Technology

Investigating The Role of the use of computer Hardware , software and lecturer involvement on online universities student satisfaction Agus Purwanto; Tawar Tawar
UJoST- Universal Journal of Science and Technology Vol. 3 No. 1 (2024): March 2024
Publisher : Faculty of Science and Technology University of Pramita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11111/ujost.v3i1.132

Abstract

The purpose of this study is to investigate the role of the use of computer hardware in online learning has a positive effect on online student satisfaction, investigate the role of The use of computer software in online learning has a positive effect on online student satisfaction and investigate the role of Lecturer involvement in online learning has a positive effect on student satisfaction learning online. This research will use exploratory descriptive method. This means that the research will begin by providing an overview about each variable studied descriptively, then study the relationship pattern and its influence exploratively. Based on the formulation of the problem and objectives to be achieved, this study uses a survey method. In taking the sample, the researcher used a sample of level 1 and 2 students filled out the Google Form questionnaire as many as 168 people. Because learning is online, the distribution of questionnaires is also carried out using existing technological facilities using Google Drive with the Google Form application. In this case, SEM with SmartPLS is an alternative technique in SEM analysis. The data used does not have to be multivariate normal distribution. In SEM with SmartPLS the value of the latent variable can be estimated according to the linear combination of the manifest variables associated with a latent variable and is treated to replace the manifest variable. According to Monecke & Leisch (2012) in Sarwono and Narimawati (2015), SEM with SmartPLS consists of 2 components, namely: (1) Inner Model and (2) Outer Model.The results of data processing with SmartPLS show that The use of computer hardware in online learning has a positive effect on online student satisfaction, The use of computer software in online learning has a positive effect on online student satisfaction, Lecturer involvement in online learning has a positive effect on student satisfaction learning online
THE EFFECT OF DIGITAL LEARNING ON HIGH SCHOOL STUDENTS' MOTIVATION AND SATISFACTION IN THE DIGITAL ERA AND THE COVID-19 PANDEMIC Agus Purwanto; Tawar Tawar
UJoST- Universal Journal of Science and Technology Vol. 3 No. 1 (2024): March 2024
Publisher : Faculty of Science and Technology University of Pramita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11111/ujost.v3i1.133

Abstract

The purpose of this study was to analyze the effect of digital learning on motivation and the effect of digital learning on student learning satisfaction during the Covid 19 Pandemic in high schools.This research is using a quantitative research approach. In this case, this research is to determine the effect of digital learning during the pandemic period on learning motivation through high school student learning satisfaction. This study aims to describe and explain and analyze the influence of 3 (three) variables, namely the Digital Learning variable (Y), the Learning Motivation variable (X1), and the Learning Satisfaction variable (X2). The three variables above will simultaneously be tested for the relationship and the level of the relationship in this research. The exogenous variable in this study is Digital Learning (Y), while the endogenous variables are Learning Motivation (X1) and Learning Satisfaction (X2). The strength level of the relationship between exogenous variables and endogenous variables was analyzed to determine the predictive ability of exogenous variables to endogenous variables and to determine the construct model of variables that have a significant relationship, the data analysis technique used was structural equation modeling (SEM) with SmartPLS 3.0 software tools. The respondents to this study were 450 high school teachers who were determined using the simple random sampling method. The questionnaire was designed using a Liker scale of 7, the questionnaires were distributed online using social media. The results of the analysis show that digital learning has a significant effect on the learning motivation variable, the use of digital technology as a Learning facilities have a positive effect on the emergence of student learning motivation so that it is expected that student learning achievement can be achieved optimally. Digital learning has a significant effect on learning satisfaction variables. With Digital Learning, some students are not influenced by the environment, students maximally learn by their own will (for example, independent learning, with varied places and media) even without motivation or reinforcement from people around them, work regularly and focus and like competition. Appropriate use of new technology can assist in delivering material in a way that students can learn successfully and find satisfaction.