Certainty Factor Method Analysis for Identification of Covid-19 Virus
Accuracy

Certainty Factor Method Analysis for Identification of Covid-19 Virus
Accuracy

Certainly Factor; Public Health; Covid-19 Classification; Artificial Intelligence

Corona virus or often called COVID-19 is a virus caused by SARS CoV 2, where the incident was uploaded in the world of
health or we often call WHO. Even the World Health Organization (WHO) has declared that the corona virus outbreak is a Public
Health Emergency of International Concern (PHEIC) or an international public health emergency. Not only has an impact on
health, but this virus outbreak has also had a major impact in various sectors such as disrupting the country's economy, disrupting
the education process and so on. This impact is caused by the very fast spread of the virus. Therefore, the author will analyze the
level of accuracy in the covid-19 virus by using the certainty method model which aims to make it easier for local governments
to monitor the spread of the COVID-19 virus and can determine future policies so that the spread is not more easily exposed to
the community. this method will produce data analysis and diagnoses regarding identifying the covid-19 virus with results in the
form of accuracy, namely someone is indicated as COVID-19 POSITIVE.

B. Herawan Hayadi 1,*, Enny Widawati 2, Marsellinus Bachtiar 3, dan Fazli Nugraha Tambunan

2023

PERI IRAWAN

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