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

RASYID, ARMIEN AL and Rini, Dian Palupi and Rodiah, Desty (2020) PREDIKSI STADIUM KANKER PARU-PARU MENGGUNAKAN METODE LOGIKA FUZZY SUGENO MODEL HIRARKI. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381621068.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_55201_09021381621068_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (12MB) | Request a copy
Preview	Text RAMA_55201_09021381621068_0023027804_8802870018_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (4MB) | Preview
	Text RAMA_55201_09021381621068_0023027804_8802870018_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021381621068_0023027804_8802870018_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021381621068_0023027804_8802870018_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021381621068_0023027804_8802870018_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (772kB) | Request a copy
	Text RAMA_55201_09021381621068_0023027804_8802870018_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (515kB) | Request a copy
	Text RAMA_55201_09021381621068_0023027804_8802870018_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (480kB) | Request a copy
	Text RAMA_55201_09021381621068_0023027804_8802870018_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (683kB) | Request a copy

Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Deteksi dini, fazzy sugeno model hirarki, paru-paru
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 9554 not found.
Date Deposited:	05 Jan 2021 05:52
Last Modified:	05 Jan 2021 05:52
URI:	http://repository.unsri.ac.id/id/eprint/39233

Actions (login required)

View Item