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

• Main Authors: Istiadi, Istiadi, Sulistiarini, Emma Budi, Joegijantoro, Rudy, Suksmawati, Affi Nizar, Nugroho, Kuncahyo Setyo, Akbar, Ismail
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: 2022
• Subjects: Information and Computing Sciences
• Online Access: https://repository.ugm.ac.id/279365/1/Sukmawati_PA.pdf; https://repository.ugm.ac.id/279365/; https://ieeexplore.ieee.org/document/10057861
• Institution: Universitas Gadjah Mada

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.