Optimalisasi Pembelajaran Jarak Jauh dalam Pelatihan UMKM untuk Peningkatan Kemampuan Pelaku UMKM di Era Ekonomi Digital
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Published:
Dec 3, 2021
Keywords:
Distance learning, digital economy, training institutions, teachers, MSME participants
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Abstract
To prevent the virus transmission, Covid 19 Pandemic forced learning activities shifted from face to face to distance learning. Elements involved in the education and training of micro, small and medium enterprises, such as Education and Training institutions, teachers and participants are forced to adapt not only due to the pandemic but also to face the changing world economy into a digital economy due to the rapid evolution and increasing use of information and communication technology. communication. Indonesia is currently in 11 countries in Asia Pacific that use cellular operators that are experiencing rapid development in mobile collaborative platforms as an indicator of improving information and communication technology, especially in internet and cellular usage. For this reason, education and training institutions, teachers and participants are required to be able to take advantage of technological developments in the implementation of distance learning such as the use of the internet, Learning Management Systems and other supporting tools to support digital economic growth in Indonesia. This study aims to analyze and optimize the supporting factors for the development of Distance Learning related to the development of education and training during the pandemic.
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How to Cite
Sidabutar, V. T. (2021). Optimalisasi Pembelajaran Jarak Jauh dalam Pelatihan UMKM untuk Peningkatan Kemampuan Pelaku UMKM di Era Ekonomi Digital . Cendekia Niaga, 5(2), 201-208. https://doi.org/10.52391/jcn.v5i2.630
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References
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[BPS] Badan Pusat Statistik. (2019). Statistik Telekomunikasi Indonesia. Badan Pusat Statistik.
Al-Omoush, K. S., Simón-Moya, V., & Sendra-García, J. (2020). The impact of social capital and collaborative knowledge creation on e-business proactiveness and organizational agility in responding to the COVID-19 crisis. Journal of Innovation and Knowledge, 5(4), 279–288. https://doi.org/10.1016/j.jik.2020.10.002
Al-Samarraie, H., & Saeed, N. (2018). A systematic review of cloud computing tools for collaborative learning: Opportunities and challenges to the blended-learning environment. Computers and Education, 124, 77–91. https://doi.org/10.1016/j.compedu.2018.05.016
Aldiab, A., Chowdhury, H., Kootsookos, A., Alam, F., & Allhibi, H. (2019). Utilization of Learning Management Systems (LMSs) in higher education system: A case review for Saudi Arabia. Energy Procedia, 160(2018), 731–737. https://doi.org/10.1016/j.egypro.2019.02.186
Baragash, R. S., & Al-Samarraie, H. (2018). Blended learning: Investigating the influence of engagement in multiple learning delivery modes on students’ performance. Telematics and Informatics, 35(7), 2082–2098. https://doi.org/10.1016/j.tele.2018.07.010
Berchin, I. I., Baltazar, J., Osório, S., & Guerra, D. A. (2020). Jo u rn Pr oo f. Research in Globalization, 2019, 100014. https://doi.org/10.1016/j.resglo.2020.100014
Cantabella, M., Martínez-España, R., Ayuso, B., Yáñez, J. A., & Muñoz, A. (2019). Analysis of student behavior in learning management systems through a Big Data framework. Future Generation Computer Systems, 90, 262–272. https://doi.org/10.1016/j.future.2018.08.003
Chen, Y. (2020). Improving market performance in the digital economy. China Economic Review, 62(April), 101482. https://doi.org/10.1016/j.chieco.2020.101482
Fang, K., Zhou, Y., Wang, S., Ye, R., & Guo, S. (2018). Assessing national renewable energy competitiveness of the G20: A revised Porter’s Diamond Model. Renewable and Sustainable Energy Reviews, 93(May), 719–731. https://doi.org/10.1016/j.rser.2018.05.011
Ferrari, A., Punie, Y., & Redecker, C. (2012). Understanding Digital Competence in the 21st Century: 79–92. http://link.springer.com/10.1007/978-3-642-33263-0_7
Juhaňák, L., Zounek, J., & Rohlíková, L. (2019). Using process mining to analyze students’ quiz-taking behavior patterns in a learning management system. Computers in Human Behavior, 92, 496–506. https://doi.org/10.1016/j.chb.2017.12.015
Krishnamurthy, S. (2020). The future of business education : A commentary in the shadow of the Covid-. Journal of Business Research, 117(May), 1–5. https://doi.org/10.1016/j.jbusres.2020.05.034
Li, K., Kim, D. J., Lang, K. R., Kauffman, R. J., & Naldi, M. (2020). How should we understand the digital economy in Asia? Critical assessment and research agenda. Electronic Commerce Research and Applications, 44, 101004. https://doi.org/10.1016/j.elerap.2020.101004
Ling, R. (2005). Interest in future net-based services for a sample of Norwegian interviewees. Telektronikk, 101(3/4), 49.
Markova, T., Glazkova, I., & Zaborova, E. (2017). Quality Issues of Online Distance Learning. Procedia - Social and Behavioral Sciences, 237(June 2016), 685–691. https://doi.org/10.1016/j.sbspro.2017.02.043
Norris, D. M., & Lefrere, P. (2011). Transformation through expeditionary change using online learning and competence-building technologies. ALT-J: Research in Learning Technology, 19(1), 61–72. https://doi.org/10.1080/09687769.2010.549205
Philip, L., & Williams, F. (2019). Remote rural home based businesses and digital inequalities: Understanding needs and expectations in a digitally underserved community. Journal of Rural Studies, 68, 306–318. https://doi.org/10.1016/j.jrurstud.2018.09.011
Sadeghi, M. (2019). A Shift from Classroom to Distance Learning: Advantages and Limitations. Internasional Journal of Reserach in Englissh (IJREE), March, 80–88.
Saidi, R. M., Sharip, A. A., Abd Rahim, N. Z., Zulkifli, Z. A., & Md Zain, S. M. (2021). Evaluating Students’ Preferences of Open and Distance Learning (ODL) Tools. Procedia Computer Science, 179(2019), 955–961. https://doi.org/10.1016/j.procs.2021.01.085
Surma, T., & Kirschner, P. A. (2020). Virtual special issue computers in human behavior technology enhanced distance learning should not forget how learning happens. Computers in Human Behavior, 110(April), 106390. https://doi.org/10.1016/j.chb.2020.106390
Tømte, C., Enochsson, A. B., Buskqvist, U., & Kårstein, A. (2015). Educating online student teachers to master professional digital competence: The TPACK-framework goes online. Computers and Education, 84, 26–35. https://doi.org/10.1016/j.compedu.2015.01.005
UNITED NATIONS CONFERENCE ON TRADE AND DEVELOPMENT. (2019). DIGITAL ECONOMY REPORT 2019 : value creation and capture - implications for developing countries.