Elyza Wahyuni
University of Islam Indonesia

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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Application for the diagnosis of pneumonia based on Pneumonia Severity Index (PSI) values Elyza Wahyuni; Ahmad Ramadhan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.442 KB) | DOI: 10.11591/eecsi.v5.1680

Abstract

There has been considerable research that addresses the diagnosis of pneumonia based on symptoms experienced by the patient, some using artificial intelligent methods such as monoton and non monoton methods with mixed results, based on previous studies to develop and improve previous research deficiencies because they refer to the results is expected to be useful by experts, especially lung specialists in Indonesia, The reference used by Indonesian pulmonary specialist is the value of Pneumonia Severity Index (PSI) which is used to classify Pneumonia level, then the expected results are qualitative and unambiguous outputs therefore fuzzy logic Sugeno method is very suitable to overcome the problem. Fuzzy logic Sugeno has been successfully applied in pneumonia disease and matched with the Pneumonia Severity Index Score in the amount of 75% based on 4 data has been tested.