An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis
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 stud...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/279365/1/Sukmawati_PA.pdf |
| _version_ | 1826050399231016960 |
|---|---|
| author | Istiadi, Istiadi Sulistiarini, Emma Budi Joegijantoro, Rudy Suksmawati, Affi Nizar Nugroho, Kuncahyo Setyo Akbar, Ismail |
| author_facet | Istiadi, Istiadi Sulistiarini, Emma Budi Joegijantoro, Rudy Suksmawati, Affi Nizar Nugroho, Kuncahyo Setyo Akbar, Ismail |
| author_sort | Istiadi, Istiadi |
| collection | UGM |
| description | 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. |
| first_indexed | 2024-03-14T00:03:21Z |
| format | Conference or Workshop Item |
| id | oai:generic.eprints.org:279365 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:03:21Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2793652023-11-06T07:28:56Z https://repository.ugm.ac.id/279365/ An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis Istiadi, Istiadi Sulistiarini, Emma Budi Joegijantoro, Rudy Suksmawati, Affi Nizar Nugroho, Kuncahyo Setyo Akbar, Ismail Information and Computing Sciences 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 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/279365/1/Sukmawati_PA.pdf Istiadi, Istiadi and Sulistiarini, Emma Budi and Joegijantoro, Rudy and Suksmawati, Affi Nizar and Nugroho, Kuncahyo Setyo and Akbar, Ismail (2022) An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis. In: 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 13-14 December 2022, Yogyakarta, Indonesia. https://ieeexplore.ieee.org/document/10057861 |
| spellingShingle | Information and Computing Sciences Istiadi, Istiadi Sulistiarini, Emma Budi Joegijantoro, Rudy Suksmawati, Affi Nizar Nugroho, Kuncahyo Setyo Akbar, Ismail An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis |
| title | An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis |
| title_full | An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis |
| title_fullStr | An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis |
| title_full_unstemmed | An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis |
| title_short | An Integrated E-Learning Fuzzy Expert System for Acute Pharyngitis Diagnosis |
| title_sort | integrated e learning fuzzy expert system for acute pharyngitis diagnosis |
| topic | Information and Computing Sciences |
| url | https://repository.ugm.ac.id/279365/1/Sukmawati_PA.pdf |
| work_keys_str_mv | AT istiadiistiadi anintegratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT sulistiariniemmabudi anintegratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT joegijantororudy anintegratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT suksmawatiaffinizar anintegratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT nugrohokuncahyosetyo anintegratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT akbarismail anintegratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT istiadiistiadi integratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT sulistiariniemmabudi integratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT joegijantororudy integratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT suksmawatiaffinizar integratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT nugrohokuncahyosetyo integratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis AT akbarismail integratedelearningfuzzyexpertsystemforacutepharyngitisdiagnosis |