RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Vol 8 No 2 (2023): Juli

PERANCANGAN KLASIFIKASI PASIEN STROKE DENGAN METODE K-NEAREST NEIGHBOR

Rahmat Ardila Dwi Yulianto (Unknown)
Imam Riadi (Unknown)
Rusydi Umar (Unknown)



Article Info

Publish Date
11 Sep 2023

Abstract

Stroke is a disease characterized by impaired brain function caused by a lack of oxygen supply and blood flow to the brain, affecting several brain functions that make sufferers experience difficulty in carrying out activities. the classification of stroke patients found is still in the form of medical records that have not been integrated so it takes longer time to detect. The K-NN algorithm is part of a machine learning algorithm that can be used to classify one of the cases, namely the classification of stroke patients. K-NN is used as a class determining algorithm to enter new data that is input according to the format. Based on the results obtained, this study leads to system design using the Unified Model Language (UML) and system user interface design.

Copyrights © 2023






Journal Info

Abbrev

rabit

Publisher

Subject

Computer Science & IT Engineering

Description

This journal is called RABIT, where the name comes from two words namely, RAB which means Abdurrab University and IT which means information technology, it can be interpreted as a journal of this journal Journal of Informatics Engineering Study Program Pekanbaru Abdurrab University. This RABIT ...