SISTEM PAKAR DIAGNOSIS TINGKAT RISIKO PENYAKIT JANTUNG DENGAN MENGGUNAKAN METODE FUZZY LOGIC

RAUS, JULIAN and Yunita, Yunita and Rodiah, Desty (2023) SISTEM PAKAR DIAGNOSIS TINGKAT RISIKO PENYAKIT JANTUNG DENGAN MENGGUNAKAN METODE FUZZY LOGIC. Undergraduate thesis, Sriwijaya University.

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Abstract

Heart disease is a condition that affects the heart so that it does not function normally. As one of the heart diseases, heart attack is a heart disorder when the heart muscle does not get blood flow and disrupts the heart's function in circulating blood throughout the body. Heart attacks are scary because they can come suddenly, but a person can actually know the level of risk to experience a heart attack from health conditions and lifestyle so that they can take the necessary anticipation to minimize the risk. This research aims to build a system to diagnose the level of risk of heart attack in order to increase public awareness and is expected to reduce the death rate due to heart attack. The use of the Fuzzy Logic method in this study is to overcome the problem of uncertainty and produce a single output in the form of a heart attack risk level, namely low, medium, and high. This study uses 7 risk factors for heart disease as input values, namely age, gender, systolic blood pressure, hypertension treatment, blood sugar, smoking, and BMI. This study uses 100 heart disease patient data and produces an accuracy rate of 94.7%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pakar, Penyakit Jantung, Fuzzy Logic
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Julian Raus
Date Deposited:	18 Jul 2023 02:00
Last Modified:	18 Jul 2023 02:00
URI:	http://repository.unsri.ac.id/id/eprint/116381

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