Abstract
More than 140,000 people have died from COVID-19 in Indonesia, and even, vaccines are not an absolute solution for the pandemic due to the spread of this virus; although many have been vaccinated, this only helps increase immunity to prevent infection and a more severe spread. WHO has designated Indonesia as a green country with a 99.3% reduction in cases, and the current rate of COVID spread is only 2% but learns from changes in various lines of life caused by this virus. This study took place in Bina Nusantara University environment, and as a higher education institution, this institution has to prepare all mechanisms by utilizing science and technology in order to prevent further infection and spread. With a surge in Internet use from conditions before the pandemic was 40% to 100% after the pandemic, this is an opportunity to use the internet and technology such as artificial intelligence and big data to form a COVID-19 detection and prevention system in the Bina Nusantara University environment. Therefore, in this study, a COVID-19 detection, surveillance and prevention system will be designed in the Bina Nusantara University environment by utilizing AI and big data technology.
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Gutandjala, I.I., Nurcahyo, A., Aji, A.B. (2023). Analysis and Design of COVID-19 Detection Supervision and Prevention System. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 465. Springer, Singapore. https://doi.org/10.1007/978-981-19-2397-5_17
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