The Implementation of Big Data Technology in Virtual Machines for Mapping 2019-nCoV Pandemic on the Students of Information Technology
Surateno, Ery Setiyawan Jullev Atmadji
Available Online 2 January 2021.
- https://doi.org/10.2991/assehr.k.210101.009How to use a DOI?
- covid19, virtual machine, e-learning, machine learning
- The spread of Covid-19 has influenced changes in human behavior and paradigm including in teaching and learning process. The teaching and learning process has now been replaced by E-Learning models which offer flexibility for both teachers and students. Current learning process can be accessed by students from different places and not necessarily gather in one room. However, this raises a new problem, namely the difficulty of tracking the scattered students when they return to campus. One way to overcome this problem is to use a big data approach combined with a virtual machine to recognize and detect these students. In this approach, the results of tracking students with server computer resources are up to 15% smaller than using non virtual machines. This is a new approach to data processing.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Surateno AU - Ery Setiyawan Jullev Atmadji PY - 2021 DA - 2021/01/02 TI - The Implementation of Big Data Technology in Virtual Machines for Mapping 2019-nCoV Pandemic on the Students of Information Technology BT - Proceedings of the First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020) PB - Atlantis Press SP - 37 EP - 40 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210101.009 DO - https://doi.org/10.2991/assehr.k.210101.009 ID - Surateno2021 ER -