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

Dublin Core

Title

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

Subject

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

Description

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.

Creator

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

Date

2023

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Citation

B. Herawan Hayadi 1,*, Enny Widawati 2, Marsellinus Bachtiar 3, dan Fazli Nugraha Tambunan, “Certainty Factor Method Analysis for Identification of Covid-19 Virus
Accuracy,” Repository Horizon University Indonesia, accessed June 28, 2025, https://repository.horizon.ac.id/items/show/9340.