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All Journal Jurnal Bisnis Digital
Fadhil Suprayitna
Universitas Ibn Khaldun Bogor
Computer Science & IT Economics, Econometrics & Finance Education

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The Influence of Cloud Computing on Google Classroom on the Effectiveness of Online Learning for the Covid-19 Cohort in Bogor City Ina Novianty; M. Akbar Andriansyah Setiawan; Fadhil Suprayitna; Cika Jelita; Luthfi Surya Saputra
J BIDIK (Jurnal Bisnis Digital) Vol. 4 No. 1 (2025): JUNI
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jbidik.v4i1.2367

Abstract

The COVID-19 pandemic has accelerated the adoption of cloud-based digital learning platforms, especially Google Classroom, as the main medium in online learning. This study aims to examine the influence of the use of cloud computing in Google Classroom on the effectiveness of online learning in the COVID-19 generation in Bogor City. A quantitative approach was used with the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method to analyze data collected from 57 respondents through a structured questionnaire with a Likert scale. The measurement model was evaluated through validity and reliability tests, while the structural model was analyzed using the path coefficient and the determination coefficient (R-square). The results showed that the use of cloud computing in Google Classroom had a positive and significant effect on the effectiveness of online learning, with a path coefficient value of 0.640. The R-square value of 0.410 indicates that cloud computing is able to explain 41.0% of the variation in online learning effectiveness. These findings indicate that cloud-based learning platforms have an important role in supporting the effectiveness of online learning, especially for students whose learning experiences are greatly influenced by the pandemic. This research contributes to the digital learning literature by presenting empirical evidence from the local Indonesian context and offers practical implications for educational institutions in optimizing cloud-based learning systems.
Analysis of Sleep Quality and Academic Productivity Level of College Students in the Work from Anywhere Era Asti Marlina; Anisa Nur Ramadhani; Ocha Nurfitriya; Fadhil Suprayitna; Muhammad Rafi
J BIDIK (Jurnal Bisnis Digital) Vol. 3 No. 2 (2024): DESEMBER
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jbidik.v3i2.2477

Abstract

This study aims to analyze the influence of sleep quality on student academic productivity in the Work From Anywhere (WFA) era. Break time management is a major factor in increasing learning flexibility to determine academic success. The research method used is quantitative with the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to test measurement and structural models. The results showed a significant positive relationship between sleep quality and academic productivity with a path coefficient value of 0.44. The model evaluation showed a high Composite Reliability value of 0.937 for sleep quality and 0.817 for productivity, as well as the fulfillment of convergent and discriminant validity. These findings indicate that any improvement in the quality of breaks contributes linearly to an increase in academic efficiency. The conclusion of this study emphasizes that in the midst of a flexible learning system, self-regulation in maintaining sleep quality is the main foundation for students to maintain concentration and academic performance. Universities are advised to provide education on sleep management to mitigate the negative impact of digital lifestyles in the WFA era.
Co-Authors Anisa Nur Ramadhani Asti Marlina Cika Jelita Ina Novianty Luthfi Surya Saputra M. Akbar Andriansyah Setiawan Muhammad Rafi Ocha Nurfitriya