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Diagnosing MERS-CoV Using Dempster-Shafer Method

Penulis: Akbar, Memen

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.

Jurnal: International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 1: April 2021
Published: Institute of Advanced Engineering and Science
IJICT http://ijict.iaescore.com/index.php/IJICT ISSN : 22528776, EISSN : 27222616, DOI : -,
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Location: Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA

Core Subject: Science,
Meta Subject: Computer Science & IT,
Meta Description: International Journal of Informatics and Communication Technology (IJ-ICT) is a common platform for publishing quality research paper as well as other intellectual outputs. This Journal is published by Institute of Advanced Engineering and Science (IAES) whose aims is to promote the dissemination of scientific knowledge and technology on the Information and Communication Technology areas, in front of international audience of scientific community, to encourage the progress and innovation of the technology for human life and also to be a best platform for proliferation of ideas and thought for all scientists, regardless of their locations or nationalities. The journal covers all areas of Informatics and Communication Technology (ICT) focuses on integrating hardware and software solutions for the storage, retrieval, sharing and manipulation management, analysis, visualization, interpretation and it applications for human services programs and practices, publishing refereed original research articles and technical notes. It is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in ICT.

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