Analysis of Online Learning Applications During The Covid-19 Pandemic

Syafaat Ariful Huda; Jaenudin Jaenudin; Amry Muqtashid; Alexius Dwi Widiatna; Holong Saor Nababan

doi:10.33394/jtp.v8i4.8630

Analysis of Online Learning Applications During The Covid-19 Pandemic

Syafaat Ariful Huda, Jaenudin Jaenudin, Amry Muqtashid, Alexius Dwi Widiatna, Holong Saor Nababan

Abstract

This study aims to analyze the perceptions of English language education students towards applications that are used effectively and the most effective applications for online learning in the era of the Covid-19 pandemic. This research uses the SEM (Structural Equation Modeling) method. The subjects of this study were 105 sixth-semester students of English Language Education at UIN Sultan Maulana Hasanudin Banten. The instrument used in this study was a questionnaire. Analyze data using descriptive statistics and structural equation modeling in inferential statistics. The findings showed that students had a positive or positive perception of effective applications for online learning during the Covid-19 pandemic. Based on the findings, it can be seen that the application used by students in online learning in this pandemic era is very effective because the distance learning process has become easier with the application. Then 77% of respondents said that the most efficient application used in online learning is Google Meet because, technically, Google Meet is easier to use, does not require much internet costs, does not interfere when online learning, and is convenient to use.

Keywords

Perception, Online Learning, Applications, Covid-19

Full Text:

PDF

References

Bishop, J. W., Scott, K. D., Goldsby, M. G., & Cropanzano, R. (2005). A construct validity study of commitment and perceived support variables: A multifoci approach across different team environments. Group and Organization Management, 30(2), 153–180. https://doi.org/10.1177/1059601103255772

Chu, PH. and Chang, YY. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences, 4(June).

Clayton, J. (2014). The validation of the online learning environment survey Micro-Credentials View project. https://www.researchgate.net/publication/254324859

Creswell, J. W. (2003). Creswell, J.W. (2003). Chapter One, “A Framework for Design.” Research Design Qualitative Quantitative and Mixed Methods Approaches. https://doi.org/10.3109/08941939.2012.723954

Ediyani, M., Hayati, U., Salwa, S., Samsul, S., Nursiah, N., & Fauzi, M. B. (2020). Study on Development of Learning Media. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences, 3(2), 1336–1342. https://doi.org/10.33258/birci.v3i2.989

Eom, S. B., Wen, H. J., & Ashill, N. (2006). The Determinants of Students’ Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation*. Decision Sciences Journal of Innovative Education, 4(2), 215–235. https://doi.org/10.1111/j.1540-4609.2006.00114.x

Fitri, W. (2020). Implikasi Yuridis Penetapan Status Bencana Nasional Pandemi Corona Virus Disease 2019 (COVID-19) Terhadap Perbuatan Hukum Keperdataan. SUPREMASI HUKUM, 9(1), 1–18.

Foster, N., Freedman, M. J., Guha, A., Harrison, R., Praveen Katta, N., Monsanto, C., Reich, J., Reitblatt, M., Rexford, J., Schlesinger, C., Story, A., & Walker, D. (2013). Languages for Software-Defined Networks.

Fuady, R., & Mutalib, A. A. (2018). Audio-Visual Media in Learning. http://www.j-k6em.org

Grace, J. B., & Bollen, K. A. (2008). Representing general theoretical concepts in structural equation models: The role of composite variables. Environmental and Ecological Statistics, 15(2), 191–213. https://doi.org/10.1007/s10651-007-0047-7

Gunawan, P. I. Y., & Amaludin, A. (2021). Pemanfaatan teknologi pembelajaran dalam jaringan di masa pandemi covid-19. Jurnal Madaniyah, 11(2), 133–150.

Hani, A. N., & Rahmani, R. (2021). Education about good and correct hand washing to prevent the transmission COVID-19 to residents of Semangat Karya village, Barito Kuala Regency. http://proceeding.mbunivpress.or.id/index.php/bamara288

Harisah, A., & Masiming, Z. (2008). PERSEPSI MANUSIA TERHADAP TANDA,SIMBOL DAN SPASIAL.

Kurniasih, D., Israwan Setyoko, P., & Setya Saputra, A. (n.d.). The Influence of Digital Electronic Performance, Competence and Motivation on Government Organization Employees Performance During the Digital Era. Journal of Industrial Engineering & Management Research, 3(5). https://doi.org/10.7777/jiemar

Madow, L. H. (1946). Systematic Sampling and its Relation to other Sampling Designs. Journal of the American Statistical Association, 41(234). https://doi.org/10.1080/01621459.1946.10501864

Maphosa, V. (2021). Factors Influencing Student’s Perceptions Towards E-Learning Adoption During COVID-19 Pandemic: A Developing Country Context. European Journal of Interactive Multimedia and Education, 2(2), e02109. https://doi.org/10.30935/ejimed/11000

Puspitaloka, V. A., Putro, K. Z., Rukmana, T., & Elvia, F. (2022). The Use of Visual Learning Media in The Development Optimization of Children with Mild Mental Retardation. JOYCED: Journal of Early Childhood Education, 2(2), 147–155. https://doi.org/10.14421/joyced.2022.22-05

Qasha, H. S. (2006). Motivation among Learners of English in the Secondary Schools in the Eastern Coast of the UAE.

Sakkir, G., Dollah, S., & Ahmad, J. (2021). E-Learning in COVID-19 Situation: Students’ Perception. EduLine: Journal of Education and Learning Innovation, 1(1), 9–15. https://doi.org/10.35877/454ri.eduline378

Tresnanto, Y. W., & Nuswantara, B. (2021). Feasibility Analysis of Cassava Farming Income in Mojo Village, Cluwak Sub-District Pati District Central Java. Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo, 23(1). https://doi.org/10.37149/bpsosek.v23i1.17491

Urh, M., Vukovic, G., Jereb, E., & Pintar, R. (2015). The Model for Introduction of Gamification into E-learning in Higher Education. Procedia - Social and Behavioral Sciences, 197, 388–397. https://doi.org/10.1016/j.sbspro.2015.07.154

Winarno, A., & Hermana, D. (2019). MALAYSIAN ONLINE JOURNAL OF EDUCATIONAL MANAGEMENT (MOJEM) COMMITMENT, WORK ENGAGEMENT, AND RESEARCH PERFORMANCE OF LECTURERS, IN INDONESIA PRIVATE UNIVERSITIES (Vol. 7). http://mojem.um.edu.my45

Yao, L., Chu, Z., Li, S., Li, Y., Gao, J., & Zhang, A. (2021). A Survey on Causal Inference. In ACM Transactions on Knowledge Discovery from Data (Vol. 15, Issue 5). Association for Computing Machinery. https://doi.org/10.1145/3444944

Zhou, P., Yang, X. Lou, Wang, X. G., Hu, B., Zhang, L., Zhang, W., Si, H. R., Zhu, Y., Li, B., Huang, C. L., Chen, H. D., Chen, J., Luo, Y., Guo, H., Jiang, R. Di, Liu, M. Q., Chen, Y., Shen, X. R., Wang, X., … Shi, Z. L. (2020). A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature, 579(7798), 270–273. https://doi.org/10.1038/s41586-020-2012-7

DOI: https://doi.org/10.33394/jtp.v8i4.8630