Manfaat Aplikasi Teknologi IoT di Masa Pandemi Covid-19 : Studi Eksploratif
Abstract
Revolusi IoT membentuk kembali sistem modern dengan menggabungkan prospek teknologi, ekonomi, dan sosial. Penelitian ini bertujuan untuk menyelidiki keberlanjutan, toleransi, dan keandalan teknologi IoT sebagai solusi dalam menanggapi pandemi Covid-19. Penelitian bertujuan untuk menyoroti teknologi IoT yang memungkinkan hasil yang menjanjikan dan potensi untuk mengidentifikasi kasus Covid-19, menghilangkan penyebaran, dan mengurangi dampak pandemi pada bidang pendidikan, bisnis dan kesehatan. Penelitian ini menggunakan pendekatan penelitian eksploratif secara kualitatif, dimana tujuannya adalah untuk menggali secara luas sebab-sebab atau hal-hal yang mempengaruhi terjadinya sesuatu dan dipakai manakala belum diketahui. Penelitian ini akan membantu pembaca dan peneliti untuk memahami IoT dan penerapannya ke dunia nyata.
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Abdulrazaq, M. N., Zuhriyah, H., Al-Zubaidi, S., Karim, S., Ramli, R., & Yusuf, E. (2020). NOVEL COVID-19 DETECTION AND DIAGNOSIS SYSTEM USING IOT BASED SMART HELMET. International Journal of Psychosocial Rehabilitation, 24(7), 2296-2303.
Abuhmaid, A., & Mohammad, A. (2020). The impact of flipped learning on Procrastination and students’ attitudes toward it. Universal Journal of Educational Research, 8(3), 566–573. doi:https://doi.org/10.13189/ujer.2020.080228
Altamimi, A., & Ramadan, R. (2016). Towards internet of things modeling: a gateway approach. Complex Adapt Syst Model, 4, 25. doi:https://doi.org/10.1186/s40294-016-0038-3
Angelova, N., Kiryakova, G., & Yordanova, L. (2017). The great impact of internet of things on business. Trakia Journal of Science, 15, 406-412.
Arikunto, S. (2002). Prosedur Penelitian: Suatu Pendekatan Praktek. Jakarta: PT. Rineka Cipta.
Ashton, K. (2009). That “Internet of Things” Thing: In the Real World Things Matter More than Ideas. RFID Journal.
Attaran, M. (2017). The Internet of Things: Limitless Opportunities for Business and Society. Journal of Strategic Innovation and Sustainability, 12(1), 10-29.
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A Survey. Computer Networks, 2787-2805. doi:10.1016/j.comnet.2010.05.010.
Borgia, E. (2014). The Internet of Things vision : Key features, applications and open issues. ComputerCommunications, 54, 1–31.
Chachra, I. K. (2015). Effect of smart classroom assisted teaching on academic achievement of students of different intelligence level in social science. Abhinav National Monthly Refereed Journal of Research in Arts & Education, 4(6), 4-10.
Chai, P., Zhang, H., Baugh, C., Guruprasad, J., McCabe, J., Gorman, J., . . . Landman, A. (2018). Internet of Things Buttons for Real-time Notifications in Hospital Operations. Journal of Medical Internet Research, 20(8). doi:DOI: 10.2196/jmir.9454
Chamola, V., Hassija, H., Gupta, V., & Guizani, M. (2020). A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact. IEEE Access, 90225-90265. doi:doi: 10.1109/ACCESS.2020.2992341
Cockrum, T. (2017). Emerging Models of Practice in Flipped English Language Arts Classrooms. In C. A. Young, & C. Moran, Applying the Flipped Classroom Model to English Language Arts Education (pp. 160-176). IGI Global. doi:http://doi:10.4018/978-1-5225-2242-3.ch009
Giudice, M. D. (2016). Discovering the Internet of Things (IoT) within the business process management: a literature review on technological revitalization. Business Process Management Journal, 22(2).
Goodman, B. (2018). Retrieved from https://www.forbes.com/sites/forbeschicagocouncil/2018/06/15/five-ways-ai-can-help-small-businesses/#26b79ffe10d7
Hassan, Q. F. (2018). Internet of Things A to Z Technologies and Applications. New Jersey: John Wiley & Sons, Inc.
Hwang, G.-J. (2014). Definition, framework and research issues of smart learning environments - a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(4), 1-14. doi:doi:10.1186/s40561-014-0004-5
Ilieva, G., & Yankova, T. (2020, November). IoT in Distance Learning during the COVID-19 Pandemic. IoT in Distance Learning during the COVID-19 Pandemic, 9(4), 1669-1674.
Jones, N. B., & Graham, C. (2020). Can the IoT Help Small Businesses? Bulletin of Science, Technology & Society, 3-12. doi:https://doi.org/10.1177/0270467620902365
Juniper research. (2019). Retrieved from https://www.juniperresearch.com/press/press-releases/smart-wearables-market-to-generate-53bn-hardware.
khaddar, M. A., & Boulmalf, M. (2017). Smartphone: The Ultimate IoT and IoE Device. In Smartphones from an Applied Research Perspective (p. 137=162). InTechOpen? doi:http://dx.doi.org/10.5772/intechopen.69734
Komalasari, R. (2020). Manfaat Teknologi Informasi dan Komunikasi di Masa Pandemi Covid 19. TEMATIK - Jurnal Teknologi Informasi Dan Komunikasi, 38-50. doi:https://doi.org/10.38204/tematik.v7i1.369
Kumar, K., Kumar, N., & Shah, R. (2020). Role of IoT to avoid spreading of COVID-19. International Journal of Intelligent Networks, I, 32-35.
Kumar, S., Tiwari, P., & Zymbler, M. (2019). Internet of Things is a revolutionary approach for future technology enhancement: a review. J Big Data, 6(111). doi:https://doi.org/10.1186/s40537-019-0268-2
Kumari, T. J., & Denisia, S. (2013). Emerging technology of smart class teaching for secondary school teachers. In M. L. Udayakumar, Jayanthi College of Education seminar on current perspective on education (pp. 229–239). Tamil Nadu, India: Jayanthi College of Education.
Låg, T., & Sæle, R. (2019). Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis. Sage Journals, 5(3), 1-17. doi:https://doi.org/10.1177/2332858419870489
Malik, N., & Shanwal, V. K. (2017). A comparative study of traditional and smart classrooms in relation to their creativity and academic achievement. Integrated Journal of Social Sciences, 4(5), 15-19.
Marinagi, C., Skourlas, C., & Belsis, P. (2013). Employing Ubiquitous Computing Devices and Technologies in the Higher Education Classroom of the Future. Procedia - Social and Behavioral Sciences, 7(3), 487-494. doi:https://doi.org/10.1016/j.sbspro.2013.02.081
Marinoni, G., Van't Land, H., & Jensen, T. (2020). The impact of Covid-19 on higher education around the world. IAU Global Survey Report.
Masson, A., MacNeill, Á., Murphy, C., & Ross, V. (2008). The Hybrid Learning Model – A Framework for Teaching and Learning Practice. International Journal of Emerging Technologies in Learning (iJET), 3(1), 12-17.
Mohammed, M. N., Hazairin, N., Syamsudin, H., Al-Zubaidi, S., A.K, S., Mustapha, S., & Yusuf, E. (2020). 2019 Novel Coronavirus Disease (Covid-19): Detection and Diagnosis System Using IoTBased Smart Glasses. International Journal of Advanced Science and Technology, 29(7), 954-960.
Mohammed, M., Hazairin, N., Al-Zubaidi, S., AK, S., Mustapha, S., & Yusuf, E. (2020). Toward a novel design for coronavirus detection and diagnosis system using IoT based drone technology. Int J Psychosoc Rehabil, 24(7), 2287–2295.
Moleong, L. J. (2008). Metodologi Penelitian Kualitatif. Bandung: PT. Remaja Rosdakarya.
Nasajpour, M., Pouriyeh, S., Parizi, R., Dorodchi, M., Valero, M., & Arabnia, H. (2020). Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. Journal of Healthcare Informatics Research, 4, 325–364. doi:https://doi.org/10.1007/s41666-020-00080-6
NCCS. (2020, 9 21). National Cancer Centre Singapore. Retrieved from https://www.nccs.com.sg/news/covid19/made-in-singapore-robot-features-faster-and-more-comfortable-covid-19-swabbing
Norberg, A. (2017, January). From blended learning to learning onlife- ICTs, time and access in higher education. Umeå, Umeå, Sweden: Print and Media. Retrieved January Saturday, 2021, from http://umu.diva-portal.org/: http://umu.diva-portal.org
Norberg, A., Dziuban, C., & Moskal, P. (2011). A time‐based blended learning model. On the Horizon, 19(3), 207–216. doi:https://doi.org/10.1108/10748121111163913
Norberg, A., Händel, Å., & Ödling, P. (2015). Using MOOCs at Learning Centers in Northern Sweden. The International Review of Research in Open and Distributed Learning, 16(6). doi:https://doi.org/10.19173/irrodl.v16i6.2035
Pennic, F. (2020, 3 27). HIT Consultant. Retrieved 1 3, 2021, from https://hitconsultant.net/2020/03/27/pandemic-drone-could-detect-virus-symptoms-like-covid-19-in-crowds/#.X_FGBfkzY2x
Phoong, S. Y., Phoong, S., Moghavvemi, S., & Sulaiman, A. (2019). Effect of Smart Classroom on Student Achievement at Higher Education. Journal of Educational Technology Systems, 48(2), 291-304. doi:https://doi.org/10.1177/0047239519870721
Poslad, S. (2009). Ubiquitous Computing: Smart Devices, Environments and Interactions. John Wiley & Sons, Ltd.
S, J., Kuk, S., & Kim, H. (2019). A smartphone magnetometer-based. IEEE Access, 7, 20 734–20 747,.
Serpanos, D., & Wolf, M. (2018). Internet-of-Things (IoT) Systems Architectures, Algorithms, Methodologies. Atlanta: Springer International Publishing AG. doi:https://doi.org/10.1007/978-3-319-69715-4
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020, July-August). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524. doi:https://doi.org/10.1016/j.dsx.2020.04.041
Siripongdee, K., Pimdee, P., & Tuntiwongwanich, S. (2020, Juni). A blended learning model with IoT-based technology: effectively used when the COVID-19 pandemic? Journal for the Education of Gifted Young Scientists,, 8(2), 905-917.
T, T., Huang, M., & Togawa, T. (2018). Current developments in wearable thermometers. Adv, 7, 88-99.