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Febriani, Widya
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Computer Science & IT

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Diagnosa Penyakit Rubella Menggunakan Metode Fuzzy Tsukamoto Febriani, Widya; Nurcahyo, Gunadi Widi; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.723 KB) | DOI: 10.35134/jsisfotek.v1i3.4

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 domain that 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 using the Tsukamoto method is 6.00. If the value is smaller than 6.00 then Rubella has no potential, if the value is greater than 6.00 then Rubella will be potential.
Co-Authors Gunadi Widi Nurcahyo Sumijan Sumijan