Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 8 No 2: Mei 2019

Aplikasi Diagnosis Tingkatan Pneumonia dan Saran Pengobatan dengan Fuzzy Tsukamoto

Elyza Gustri Wahyuni (Universitas Islam Indonesia)
Ahmad Syahriza Ramadhan (Universitas Islam Indonesia)



Article Info

Publish Date
31 May 2019

Abstract

Pneumonia is a disease that attacks almost every human being, ranging from young people to adults. Doctors often find it difficult to identify someone who has pneumonia, because pneumonia has several levels of classification, making it possible to experience symptoms that are also different. Pulmonary specialist experts classify pneumonia classification to be "mild" and "severe", making it easier for doctors to diagnose pneumonia. One of the right methods is to use fuzzy logic because it tends to have symptoms and diagnoses that are biased/fuzzy. The conclusion of testing several primary data obtained from interviews and system testing is that the implementation of the pneumonia diagnosis system with Tsukamoto fuzzy logic can help experts determine the level of pneumonia according to the symptoms experienced by the patient, with the value of user acceptance testing at 95%.

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Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...