Abstract
Heart is one of the essential organs that assume a significant part in the human body. However, heart can also cause diseases that affect the death. World Health Organization (WHO) data from 2012 showed that all deaths from cardiovascular disease (vascular) 7.4 million (42.3%) were caused by heart disease. Increased cases of heart disease require a step as an early prevention and prevention efforts by making early diagnosis of heart disease. In this research will be done early diagnosis of heart disease by using data mining process in the form of classification. The algorithm used is K-Nearest Neighbor algorithm with Forward Selection method. The K-Nearest Neighbor algorithm is used for classification in order to obtain a decision result from the diagnosis of heart disease, while the forward selection is used as a feature selection whose purpose is to increase the accuracy value. Forward selection works by removing some attributes that are irrelevant to the classification process. In this research the result of accuracy of heart disease diagnosis with K-Nearest Neighbor algorithm is 73,44%, while result of K-Nearest Neighbor algorithm accuracy with feature selection method 78,66%. It is clear that the incorporation of the K-Nearest Neighbor algorithm with the forward selection method has improved the accuracy result. Keywords - K-Nearest Neighbor, Classification, Heart Disease, Forward Selection, Data Mining
Highlights
Heart disease is a disorder that occurs in the large blood vessel system, causing heart and blood circulation to not work properly [1]
This study provides results in the form of accuracy obtained from the tests that have been carried out, with the aim of testing the accuracy and performance of the K-Nearest Neighbor algorithm based on the forward selection feature selection in classifying the diagnosis of heart disease
To select attributes can be done by finding the correlation relationship closest to the target so that it can increase the accuracy of the classification using the K-Nearest Neighbor algorithm
Summary
Heart disease is a disorder that occurs in the large blood vessel system, causing heart and blood circulation to not work properly [1]. Whereas according to economic status, heart disease occurs most often at the lower economic level, which is around 2.1% and at the lower middle economic level, which is around 1.6% [2]. This proves that heart disease is the number one deadliest disease in various countries including Indonesia, because it has a high death rate. Based on these conditions, prevention and early treatment of heart disease is the most important thing to reduce mortality from heart disease
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