Analysis and Design of Covid-19 Detection Supervision and Prevention System
Ilona Irena Gutandjala1, a) Aldian Nurcahyo2, b) Adnan Bayu Aji3, c)

Bina Nusantara University

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, but 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.

Keywords: Covid-19, Detection Supervision and Prevention System, AI, Big Data

Topic: Computer Science