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PREDIKSI STADIUM KANKER PARU-PARU MENGGUNAKAN METODE LOGIKA FUZZY SUGENO MODEL HIRARKI

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Penilaian

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The lungs are one of the most important organs in the human body. The risk of diseases such as lung cancer can occur in humans. Prevention efforts need to be done, one of which is by conducting early detection when the risk factors and symptoms of cancer have been recognized. One of the early detection methods that can be used is the Fuzzy Sugeno Hierarchy Model method. Fuzzy Logic Algorithm is one of the algorithms used to group data into several groups. In this thesis, the Fuzzy Sugeno Model Hierarchy method is used as a method to predict the level of disease or stage of lung cancer. Fuzzy hierarchical model is a method in Fuzzy logic that can be used to simplify the rules that will be used in the system with the aim of shortening the calculation process. The calculation in this thesis uses 11 risk data variables or symptoms of lung cancer. The risks or symptoms used include systolic blood pressure, diastolic blood pressure, pulse, blood sugar (GDS), albumin, bilirubin, serum potassium, creatinine, age, weight loss, and cough and output in the form of lung cancer disease levels from healthy, stage 1, stage 2, stage 3, and stage 4. Fuzzy Sugeno Hirariki Model method is used in this thesis because this method is suitable for cases that have many variables, so as to simplify the rules created from the hierarchy formation process. This study used 73 data obtained from secondary data from Berliyanti Hadayani's research at RSU. PKU Muhammadiyah Yogyakarta and produces an accuracy of 95.06% and a Missclassification (Error) Rate of 4.93%. Keywords: Early Detection, Fuzzy Sugeno Hierarchy Model, Lungs.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000846	T39233	T392332020	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T392332020

Publisher

Indralaya : Jurusan Teknik Informatika Biligual., 2020

Collation

xviii, 107 hlm.; ilus., tab.: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

logika fuzzy sugeno

Specific Detail Info

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Statement of Responsibility

TUTI

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