Diagnosing MERS-CoV Using Dempster-Shafer Method

Memen Akbar


MERS-CoV (Middle East Respiratory Syndrome-Coronavirus) is a respiratory syndrome disease caused by the coronavirus which attacks the respiratory tract from mild to severe. MERS-CoV was first reported in Saudi Arabia; total cases of MERS-CoV have continued to increase. In Indonesia, the MERS-CoV enters through the pilgrimage of Hajj and Umrah. But not many people know about this disease and its symptoms. For this reason, an expert system was established to diagnose MERS-CoV using the Dempster-Shafer method. The system can detect the disease through the symptoms inputted by the user. The output of the system is the value of the probability of the disease, the level of the disease and the solution. The levels of the disease are Stage 1, Stage 2, and Stage 3 where each has a different solution based on the level of the disease. In the system, there is information about MERS-CoV in the form of videos and text. The system has been built using the PHP programming language. After testing, the results show that all system functionality has been fulfilled. The expert validation testing had obtained at 76.7%, which is good in diagnosing MERS-CoV and the results of the questionnaire obtained at average of 84.13% which is very good in helping users in diagnosing disease. The expert system that has been built can help people in diagnosing the disease before consulting a doctor.


WHO, “WHO | Middle East respiratory syndrome coronavirus (MERS-CoV),” WHO, 2018.

WHO, “WHO | Middle East respiratory syndrome coronavirus (MERS-CoV),” Who, 2018.

T. Masduki, “Berapa Jemaah Umrah dari Indonesia?,” katadata, 2017. [Online]. Available: https://databoks.katadata.co.id/datapublish/2017/03/03/berapa-jamaah-Umrah-indonesia. [Accessed: 18-Apr-2018].

L. Handayani and T. Sutikno, “Sistem Pakar untuk Diagnosis Penyakit Hati Berbasis Web dengan ‘ e2gLite Expert System Shell ,’” System, pp. 63–70, 2012.

Y. N. Istiqomah and A. Fadlil, “Sistem pakar untuk mendiagnosa penyakit saluran pencernaan menggunakan metode dempster shafer 1,” J. Sarj. Tek. Inform. Vol. 1 Nomor 1, Juni 2013 e-ISSN 2338-5197, vol. 1, pp. 32–41, 2013.

D. A. Kusuma and C. Chairani, “Rancang Bangun Sistem Pakar Pendiagnosa Penyakit Paru-Paru Menggunakan Metode Case Based Reasoning,” J. Inform. dan Elektron., vol. 6, no. 2, pp. 57–62, 2015.

L. S. Lesmana, “Sistem Pakar Dengan Metode Forward Chaining Untuk Diagnosa Pasien Yang Terinfeksi Virus Mers Cov ( Studi Kasus Di RSUP M.Djamil Padang),” CBIS Journal, Vol. 3 No 2, ISSN 2337-8794, vol. 3, no. 2, pp. 49–65, 2015.

M. Marlina, W. Saputra, B. Mulyadi, B. Hayati, and Jaroji, “Aplikasi Sistem Pakar Diagnosis Penyakit ISPA Berbasis Speech Recognition Menggunakan Metode Naive Bayes,” Teknol. Inf. dan Komun. Digit. Zo., vol. Vol.8, no. x, p. No.1, 2017.

Sumiati, R. D. M. Badriyah, and A. Ariyani, “Sistem Pakar Untuk Diagnosa Penyakit Paru - Paru Menggunakan Metode Certainty Factor Di Puskesmas Citangkil,” J. ProTekinfo, vol. 4, pp. 34–42, 2017.

M. East and R. S. Virus, “Pedoman Umum Kesiapsiagaan Menghadapi (MERS-CoV),” Pedoman Umum Kesiapsiagaan Menghadapi, 2013.

D. P. Kurniawati, “Implementasi Metode Dempster Shafer Pada Sistem Pakar Untuk Diagnosa Jenis-jenis Penyakit Diabetes Melitus,” Psi Udinus, 2014.

DOI: http://doi.org/10.11591/ijict.v10i1.pp%25p
Total views : 21 times


  • There are currently no refbacks.

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

View IJICT Stats