Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer
Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer

Implementation Of The K-Means Clustering Algorithm For Grouping Heart Disease Risk Levels

Sonia Indhira (Universitas Putra Indonesia “YPTK” Padang)
Billy Hendrik (Universitas Putra Indonesia “YPTK” Padang)



Article Info

Publish Date
25 Oct 2023

Abstract

Heart disease is a condition where the heart cannot carry out its duties properly, this disease occurs when blood to the heart muscle stops or becomes blocked, causing serious damage to the heart. The KMeans algorithm can be used to cluster heart disease groups to find out if someone is affected heart disease or not. The clustering method with the k-means algorithm in this research shows a new insight, namely grouping the risk level of heart disease based on 3 clusters. Cluster 1 is a category age with a fairly low risk level for heart disease or Low, namely 355 out of 1025 age categories tested, then cluster 2 is the age category with a moderate risk level for heart disease, namely 208 out of 1025 age categories tested, and finally cluster 3 is an age category with a fairly high age category level or High, namely 462 of 1025 age categories tested.

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Journal Info

Abbrev

juisik

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Jurnal ilmiah Sistem Informasi dan Ilmu Komputer p-ISSN: 2827-8135 e-ISSN : 2827-7953 merupakan Jurnal yang diterbitkan oleh Barenlitbangda Kabupaten Semarang. Jurnal ini adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai bidang Ilmu Sistem Informasi dan Ilmu ...