DOI: https://doi.org/10.21456/vol11iss2pp139-145

Teknologi Baru Pada Pendidikan Tinggi Menuju Revolusi Industri 4.0: Studi Kasus Indonesia dan Malaysia

*Dina Fitria Murad orcid scopus publons  -  Bina Nusantara University, Indonesia
Silvia Ayunda Murad  -  Universitas Islam Syekh Yusuf, Indonesia
Rosilah Hassan  -  Universiti Kebangsaan Malaysia, Malaysia
Yaya Heryadi  -  Bina Nusantara University, Indonesia
Bambang Dwi Wijanarko  -  Bina Nusantara University, Indonesia
Titan Titan  -  Bina Nusantara University, Indonesia
Open Access Copyright (c) 2021 JSINBIS (Jurnal Sistem Informasi Bisnis)

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Abstract
IoT with E-learning is intended to support data collection from devices and share to other devices in use for effective E-learning applications from Smart Campus. This study aims to conduct studies related to online learning models by utilizing Internet of Everything (IoE) technology to support Revolution 4.0. This study aims to support the latest communication paradigm in which the objects of everyday life will be equipped with a series of appropriate protocols and enable them to communicate well with each other as part of the internet. IoE will help improve learning by leveraging the large subject data generated by these objects to provide dynamic services to educators, learners, and even content developers. Using qualitative research methods This research uses a questionnaire to find out the views and assessments of the community in this case online learners regarding online learning as one of the impacts of the Covid-19 pandemic and produces an online learning model that is supported by an integrated system between learning media such as LMS and devices. others use IoE. The results of this study support the implementation of Smart campuses that allow the use of IoE methodologies to make them always ready in certain network areas.

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Keywords: High Education; New Technology; Revolution 4.0

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Section: Research Articles
Language : EN
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  1. Angehrn, A., Nabeth, T., Razmerita, L., Roda, C., Constance, B. De, & France, F.-F., 2001. K-InCA : using artificial agents for helping people to learn new behaviours. Knowledge Creation Diffusion Utilization, 1–2
  2. Chen, T., Barbarossa, S., Wang, X., Giannakis, G. B., & Zhang, Z. L., 2019. Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability. Proceedings of the IEEE, 107(4), 778–796. https://doi.org/10.1109/JPROC.2019.2896243
  3. Evans, D., 2011. The internet of things: How the next evolution of the internet is changing everything. 1–11
  4. Fleischmann, K., 2019. From studio practice to online design education: Can we teach design online? Canadian Journal of Learning and Technology, 45(1), 1–19. https://doi.org/10.21432/cjlt27849
  5. Lee, I., & Lee, K., 2015. The internet of things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008
  6. Li, S., Xu, L. Da, & Zhao, S., 2015. The internet of things: a survey. Information Systems Frontiers, 17(2), 243–259. https://doi.org/10.1007/s10796-014-9492-7
  7. Maureen, B., Neal F., Elizabeth McLellan, Brian Paxton, J.S., 2013. Online and Traditional Lectures: Evaluating Effects of Social Presence and Learner Control. 1–124. http://drum.lib.umd.edu/bitstream/handle/1903/13885/ONLINE Final Thesis.pdf;jsessionid=6019D1F8443F7DD29DE0E185A0AAC0CC?sequence=1
  8. Murad, D.F., Heryadi, Y., Isa, S.M., & Budiharto, W., 2020. Personalization of study material based on predicted final grades using multi-criteria user-collaborative filtering recommender system. Education and Information Technologies, May (III). https://doi.org/10.1007/s10639-020-10238-9
  9. Murad, D.F., Iskandar, A.G., Fernando, E., Octavia, T.S., & Maured, D.E., 2019. Towards smart LMS to improve learning outcomes students using LenoBot with natural language processing. 2019 6th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2019, 1–6. https://doi.org/10.1109/ICITACEE.2019.8904311
  10. Petrolo, R., Loscrì, V., & Mitton, N., 2017. Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms. Transactions on Emerging Telecommunications Technologies, 28(1). https://doi.org/10.1002/ett.2931
  11. Ray, P.P., 2016. A survey on internet of things architectures. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2016.10.003
  12. Riahi Sfar, A., Natalizio, E., Challal, Y., Chtourou, Z., Riahi, A., Natalizio, E., Challal, Y., & Chtourou, Z., 2017. A roadmap for security challenges in internet of things. Digital Communications and Networks, January, 1–20. https://doi.org/10.1016/j.dcan.2017.04.003
  13. Salman, Y., Abu-Issa, A., Tumar, I., & Hassouneh, Y., 2017. A model and prototype of a proactive multi-type context-aware recommender system. 2017 Intelligent Systems Conference (IntelliSys), September, 297–303. https://doi.org/10.1109/IntelliSys.2017.8324308
  14. Savidis, A., Grammenos, D., & Stephanidis, C., 2007. Developing inclusive e-learning and e-entertainment to effectively accommodate learning difficulties. Universal Access in the Information Society, 5(4), 401–419. https://doi.org/10.1007/s10209-006-0059-3
  15. Shukla, A., Chaturvedi, S., & Simmhan, Y., 2017. A Review on Internet of Things, Internet of Everything and Internet of Nano Things. International Journal of Computer Applications (0975 8887), 113(1), 1–7. https://doi.org/10.5120/19787-1571
  16. Wang, H.H., Chootong, C., Ochirbat, A., Sommool, W., Gunarathn, W.K.T.M., & Shih, T.K., 2017). Online courses recommendation system based on industry occupation skills requirements. Ubi-Media 2017-Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications. https://doi.org/10.1109/UMEDIA.2017.8074083
  17. Wijanarko, B.D., Murad, D.F., Heryadi, Y., Lukas, Toba, H., & Budiharto, W., 2018. Questions classification in online discussion towards smart learning management system. Proceedings of 2018 International Conference on Information Management and Technology, ICIMTech 2018, October 2019, 251–255. https://doi.org/10.1109/ICIMTech.2018.8528131
  18. Zaiane, O.R., 2001. Web Usage Mining For a Better Web-Based Learning Environment

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