Application of Fuzzy Logic Sugeno Method for Diagnosis Yellow Fever

DOI

10.2991/assehr.k.210101.028How to use a DOI?

Keywords

application, detection, fuzzy Sugeno

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.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Trismayanti Dwi Puspitasari
AU  - Ria Chandra Kartika
AU  - Jazil Ramadhanty
PY  - 2021
DA  - 2021/01/02
TI  - Application of Fuzzy Logic Sugeno Method for Diagnosis Yellow Fever
BT  - Proceedings of the First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020)
PB  - Atlantis Press
SP  - 129
EP  - 133
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210101.028
DO  - 10.2991/assehr.k.210101.028
ID  - Puspitasari2021
ER  -