Application of Fuzzy Logic Sugeno Method for Diagnosis Yellow Fever

Puspitasari, Trismayanti Dwi and Kartika, Ria Chandra and Ramadhanty, Jazil Application of Fuzzy Logic Sugeno Method for Diagnosis Yellow Fever. Proceedings of the First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020), 514. pp. 129-133. ISSN 2352-5398

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Abstract

The Infant Mortality Rate (IMR) is one of the main components to determining the degree of health and welfare people in the country. Indonesia is quite high IMR rate compared to Southeast Asian for of yellow fever. This fever usually appears in babies called new born jaundice. Babies can experience physiological and pathological depending on the symptoms. Parents often have difficulty distinguishing the difference between normal and severe fever without further examination, so that they do wrong in the initial treatment. Responding to the problems, it is necessary to conduct research on” Application of Fuzzy Logic Sugeno Methods for Diagnosis Yellow Fever”. The aim of this research to minimizing IMR because this application can be used anytime and anywhere before being taken to the hospital. Sugeno Fuzzy logic is suitable method because it is very flexible to accepts tolerance for data that is not completely correct or wrong when they confused in determining the level of severity. This application will be carried out with an evaluation by expert using UAT (User Acceptance Testing) method to validation and verification. The output of this application is able to provide information about the percentage of the severity of yellow fever, history of diagnosis so that the condition of each user who uses the system can be monitored, initial treatment solutions.

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