Jurnal Sistem Cerdas
Vol. 4 No. 1 (2021)

Kajian Sistem Deteksi Dini pada saat Pandemi COVID-19

Nurmajid Setyasaputra (ITB Student)



Article Info

Publish Date
29 Apr 2021

Abstract

One of the increasing cases of COVID-19 is due to the large crowd. The crowd that occurred during the last quarter of 2020 occurred as a result of the easing of the PSBB to revive the community's economy, rife demonstrations, and other activities or events with large numbers of people. This is very worrying, coupled with the limited facilities and health workers to treat COVID-19 patients for those with severe symptoms. Therefore, an early detection system is needed by utilizing existing technology, especially for cities that have implemented smart cities and become red zones. So that this system can be an early warning or early detection for stakeholders to make decisions more quickly to prevent additional cases.

Copyrights © 2021






Journal Info

Abbrev

jsc

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

Description

Jurnal Sistem Cerdas dengan eISSN : 2622-8254 adalah media publikasi hasil penelitian yang mendukung penelitian dan pengembangan kota, desa, sektor dan kesistemam lainnya. Jurnal ini diterbitkan oleh Asosiasi Prakarsa Indonesia Cerdas (APIC) dan terbit setiap empat bulan ...