Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19)

 (*)Muhamad Fajar Suryana Mail (Universitas Nasional, Jakarta, Indonesia)
 Fauziah Fauziah (Universitas Nasional, Jakarta, Indonesia)
 Ratih Titi Komala Sari (Universitas Nasional, Jakarta, Indonesia)

(*) Corresponding Author

Submitted: April 22, 2020; Published: July 20, 2020



Humans are facing a non-natural disaster that threatens the entire human population on Earth. Non-natural disaster is called Corona Virus Desease (COVID-19), which is a large family of viruses that can attack humans and animals that are currently a global pandemic. Humans usually cause respiratory infections, ranging from the common cold to serious illnesses such as MERS and SARS. COVID-19 itself is a new type of coronavirus found in humans and in the Wuhan area, Hubei Province, China in 2019. To assist medical staff in early detecting symptoms experienced by patients and facilitate the administration of hospital records, one of them was made an expert system that could detect this COVID-19 early with the Certainty Factor (CF) method. This expert system mimics similar symptoms experienced by COVID-19 patients and will be grouped into several patient statuses. Patients who experience serious symptoms will be grouped into Patients Under Supervision (PDP) and patients who are considered to have milder symptoms will be grouped into Insider Oversight status (ODP) while those who experience symptoms that are outside of the main symptoms will be classified into Non Suspect (NON) status . From 152 patient data inputted in this study, 114 ODP results with an average CF value of 91.38%, 36 PDP with an average CF value of 98.25% and 2 NONs with an average CF value of 40%. CF with system calculation experiments that represent patients get a CF value of 0.998848 or 99.88% to PDP. This expert system can be used to make decisions that can help medical personnel perform actions and administer better before conducting a through test in the laboratory to ensure positive or negative patients COVID-19


CF, COVID-19, ODP, PDP, NON, Patient

Full Text:


Article Metrics

Abstract View: 1232 times | PDF View: 713 times


World Health Organization.(2020, April 17) Q&A on coronaviruses (COVID-19) [online].Available:

Agus Rizal Ardy Hariandi Hamdi, “ A Concern for COVID-19 Pandemic”, Social Resposibility of Medical Journal, vol. 2, no. 1, Maret 2020.

Lisbet Sihombing, “Penyebaran COVID-19 dan Respon Internasional”, Pusat Penelitian Badan Keahlian DPR RI, Vol. XII, No. 5/I/Puslit/Maret/2020, Maret 2020.

Yulianti Paula Bria and Engelbertus Agung S. Takung, “Pengembangan Sistem Pakar Diagnosis Penyakit Tuberculosis dan Demam Berdarah Berbasis Web Menggunakan Metode Certainty Factor”, SENTIKA, 2015.

Elizabeth Paskahlia Gunawan and Retantyo Wardoyo, “An Expert System Using Certainty Factor For Determining Insomnia Acupoint”, Indonesian Journal of Computing and Cybernetics System, vol. 2, no. 12, Juli 2018.

Y Findawati dan A I Afrina, “Expert System Diagnosa Disease Dermatitis Using Web Based Certainty Factor”, International Conference on Engineering and Applied Technology, no.10.1088/1757-899X/403/1/012068, 2018.

CDC COVID-19 Response Team, “Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19)”, Centers for Diseases Control and Prevention, Vol. 69, Maret 2020.

Merlina, Nita M.Kom., dan Rahmat Hidayat S.Kom., Perancangan Sistem Pakar. Ghalia Indonesia, 2012.

Miles, Rob, C# Programming Yellow Book. Cheese Edition, 2016.

Paul Weiss and David R Murdoch, “COVID-19 : Towards Controlling of a Pandemic”, The Lancet, Vol. 395, Maret 2020 P1015-P1018.

Shaila Rahman and Tamanna Bahar, “COVID-19:The New Threat”, Int J Infect, Januari 2020.

Yuliana, “Corona Virus Diseases (COVID-19”,Wellness and Health Magazine, Vol. 2, No. 1, Februari 2020.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19)


  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

STMIK Budi Darma
Sekretariat : Jln. Sisingamangaraja No. 338 Telp 061-7875998
email :

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.