Jurnal Sistim Informasi dan Teknologi
2019, Vol. 1, No. 3

Diagnosis Penyakit Rubella Menggunakan Metode Fuzzy Tsukamoto

Widya Febriani (Universitas Putra Indonesia YPTK Padang)
Gunadi Widi Nurcahyo (Universitas Putra Indonesia YPTK Padang)
S Sumijan (Universitas Putra Indonesia YPTK Padang)



Article Info

Publish Date
01 Sep 2021

Abstract

Rubella or better known as German measles is a viral infection characterized by a red rash on the skin. Lack of general public understanding of this disease makes the number of patients with Rubella increasing. So Fuzzy Tsukamoto's method is used to detect Rubella disease. The purpose of this study is to facilitate the public in understanding about Rubella disease so as to reduce the number of sufferers of this disease. The first step to detecting Rubella disease is to determine the fuzzy set and the domain which includes 3 variables: red rash, swollen lymph nodes, and fever. The output of fuzzy calculations is someone experiencing Rubella or normal symptoms. The value obtained from the calculation process usig the Tsukamoto method is 6.00.

Copyrights © 2019






Journal Info

Abbrev

JSisfotek

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

The Jurnal Sistim Informasi dan Teknologi (JSISFOTEK) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally. We encourage manuscripts that cover the following topic areas: - Analytics, Business Intelligence, and ...