COVID-19 Disease Diagnosis Expert System with Certainty Factor Method using iOS-Based App
Keywords:COVID-19, Artificial Intelligence, Expert System, Certainty Factor, iOS, Maps
The drop in COVID-19 patients in Indonesia from January to February 2022 made many companies prepare policies to no longer enforce work from home. At the office, we can interact and meet other people directly and it is possible to be exposed to Covid-19 that could potentially become a new wave of COVID-19. This effect poses a serious risk to all people who come into contact with COVID-19-infected individuals or are close to them. The major course of action that may be performed when someone has COVID-19 is self-isolation and tracking anyone who is around or has a health condition associated to COVID-19. We require an iOS-based COVID-19 diagnosis expert system application to track the health status of everyone around us because we are unable to know the health status of everyone. The application uses artificial intelligence technology in the form of an expert system to check health conditions. The expert system replaces the role of the expert with the certainty factor method. This app should be used every time before entering a potentially crowded place to clarify tracking by using maps feature. In addition to COVID-19, this expert system can also diagnose diseases that have the same symptoms as Typhoid Fever and Pneumonia. The results of the expert system are in the form of diagnosing the user's health condition based on the symptoms given with a confidence level of up to 0.9999952130944 or 99.99952130944% for COVID-19, 0.9676 or 96.76% for Typhoid Fever, and 97% for Pneumonia.
Z. Y. Zu, M. D. Jiang, P. P. Xu, W. Chen, Q. Q. Ni, G. M. Lu, and L. J. Zhang, “Coronavirus Disease 2019 (COVID-19): A Perspective from Cina,” RSNA Journals in Radiology, vol. 296, no. 2, pp. E15-E25, August 2020.
M. Lipsitch, D. L. Swerdlow, and L. Finelli, “Defining the Epidemiology of Covid-19 - Studies Needed,” The New England Journal of Medicine, vol. 387, no. 11, pp. 1194-1196, Sept. 2020.
Y. Lestari, Mesran, Suginam, & Fadlina, “Sistem Pakar untuk Mendiagnosis Penyakit Tumor Otak Menggunakan Metode Certainty Factor (CF),” Jurnal Infotek, vol. 2, no. 1, pp. 82–86, Feb. 2017.
CDC. (2020, March 20). Centers for Disease Control and Prevention. Retrieved from Symptoms & Testing Coronavirus Disease 2019 (COVID-19). Available: https://www.cdc.gov/Coronavirus/2019-nCoV/symptoms-testing/symptoms.html.
D. Wiyanti, A. S. Yanuar, E. G. Wahyuni, and D. T. Wiyanti, “Certainty Factor Method for Neurological Disease Diagnosis Based on Symptoms,” ICCSET, pp. 851–856, 2018.
L. Safira, B. Irawan, and C. Setianingsih, “Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android,” Journal of Physics: Conference Series 1201 012053, pp. 1-9, 2019.
N. A. Ritonga, “Sistem Pakar Mendiagnosa Penyakit Lambung Menggunakan Metode Certainty Factor,” Pelita Informatika Budi Darma, Vol. 5, no. 1, pp. 157-161, Feb. 2013.
R. R. Al Hakim, E. Rusdi, M. A. Setiawan, “Android Based Expert System Application for Diagnose COVID-19 Disease: Cases Study of Banyumas Regency,” Journal of Intelligent Computing and Health Informatics, vol.1 no. 2, pp. 26-38, Sept. 2020.
Editor, Shailendra K. Saxena, Coronavirus Disease 2019 (COVID-19): Epidemiology, Pathogenesis, Diagnosis, And Therapeutics, Springer nature, 2020.
Suyanto, Artificial Intelligence: Searching, Reasoning, Planning, and Learning, Bandung: Informatika, 2014.
M. Abdar, M. Z. Moghadam, R. Das, and I. H. Ting, “Performance Analysis of Classification Algorithms on Early Detection of Liver Disease Expert Systems with Applications,” Elsevier, vol. 67, pp. 239–251, Jan. 2017.
Apple. (2021). Xcode Overview. Available: https://developer.apple.com/documentation/xcode
S. Hoga, R. TKA, and T. Agung, “Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule,” International Journal of Artificial Intelligence, vol. 10, no.1, pp. 43-50, 2021.
A. Farizi, “Sistem Pakar untuk Mendiagnosa Kerusakan Komputer dengan Menggunakan Metode Forward Chaining,” Edu Komputika Journal, Vol. 1, no. 2, pp. 21-32, 2014.
C. Slamet, B. Firmanda, M. A. Ramdhani, W. Darmalaksana, E. Enjang, and F. M. Kaffah, “Android-based Expert System Design for Drug Selection Using Certainty Factor,” Journal of Physics: Conference Series, 128022018, pp. 1-7, 2018.
R. H. Y. Perdana, Hudiono, M. Taufik, A. E. Rakhmania, R. M. Akbar, and Z. Arifin, “Hospital queue control system using Quick Response Code (QR Code) as verification of patient’s arrival,” Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 8, 2019.
How to Cite
Copyright (c) 2022 Supriatna Dwi Atmaja Suprayitno, M. Nanak Zakaria, Ahmad Wilda Yulianto
This work is licensed under a Creative Commons Attribution 4.0 International License.