An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis

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Istiadi, Emma Budi Sulistiarini, Rudy Joegijantoro, Affi Nizar Suksmawati, Kuncahyo Setyo Nugroho, Ismail Akbar

2022 Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022 Conference paper Cited by 1 Quartile

Abstract

A sore throat, or acute pharyngitis, is an inflammatory disease caused by viral and bacterial infections. Clinically, the causes of acute viral and bacterial pharyngitis are difficult to distinguish. In addition, there are differences in treatment for viral and bacterial acute pharyngitis. This study integrates expert and e-learning systems to diagnose acute pharyngitis. The Fuzzy Mamdani method is used for the disease diagnosis process in the expert system. System integration aims to optimize the database of disease diagnosis history results in fuzzy expert systems. Thus, the results of the history of disease diagnosis can be generated into test questions that will be retested on students. The results of testing the fuzzy expert system on 25 samples give it an accuracy of 84% The test results are strongly influenced by establishing a rule base between the premise and the consequent that is consistent and interrelated. © 2022 IEEE.

Affiliations

Widyagama University of Malang, Department of Informatics Engineering, Malang, Indonesia; Widyagama University of Malang, Department of Industrial Engineering, Malang, Indonesia; Widyagama Husada College of Health, Department of Environmental Health Science, Malang, Indonesia; Gadjah Mada University, Faculty of Mathematics and Natural Sciences, Yogyakarta, Indonesia; Brawijaya University, Faculty of Computer Science, Malang, Indonesia; Maulana Malik Ibrahim State Islamic University, Faculty of Science and Technology, Malang, Indonesia

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