Faktor Exacta
Vol 7, No 4 (2014)

PENERAPAN ALGORITMA KLASIFIKASI NEAREST NEIGHBOR (K-NN) UNTUK MENDETEKSI PENYAKIT JANTUNG

MEI LESTARI (Unknown)

Article Info

Publish Date
19 Oct 2015

Abstract

Data from WHO states that 7,3 million people die because of Heart Disease. Although Heart Disease is not contagious, this kind of disease is the number 1 disease causing death. Heart disease is also called as coroner disease. It happens when the blood drifting to the heart muscles stops so that it causes heart disorder (Rajkumar & Reena, September 2010). The application of Nearest Neighbor classification (K-NN) algorithm is expected to overcome the problems on the affectivity and accuracy in detecting heart disease. In this research, the K-NN with K = 9 is used on 100 patients of heart disease. The result revealed is that the accuracy is 70% and the AUC is 0.875 which belong to the good classification. Hence, K-NN algorithm can be used and applied in detecting heart disease. Keywords: Nearest Neighbor, Jantung, Algoritma, Akurasi.

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Journal Info
Faktor Exacta
Website

Abbrev

Faktor_Exacta

Publisher

Universitas Indraprasta PGRI

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Description

Faktor Exacta is a peer review journal in the field of informatics. This journal was published in March (March, June, September, December) by Institute for Research and Community Service, University of Indraprasta PGRI, Indonesia. All newspapers will be read blind. Accepted papers will be available ...