JURNAL MEDIA INFORMATIKA BUDIDARMA
Vol 6, No 1 (2022): Januari 2022

Analisis Performa Algoritma Machine Learning pada Prediksi Penyakit Cerebrovascular Accidents

Robi Aziz Zuama (Universitas Bina Sarana Informatika, Jakarta)
Syaifur Rahmatullah (Universitas Nusa Mandiri, Jakarta)
Yuri Yuliani (Universitas Bina Sarana Informatika, Jakarta)

Article Info

Publish Date
25 Jan 2022

Abstract

Cerebrovascular Accidents (stroke) are a disease that threatens and causes death and disability and disability in the world, in Indonesia the number of people affected by stroke is increasing every year. Stroke can be prevented by adopting a healthy lifestyle, eating nutritious food, and doing physical activity. The purpose of this study is to create an effective stroke prediction model, the system uses parameters from lifestyle factors, controllable factors such as medical risk factors, and uncontrollable factors. Four classification algorithms are proposed, namely multi-layer perceptron, KNN, Decision Tree, and Random Forest. The results show that the classification algorithm can work effectively by producing a perfect score of 99.99% accuracy at the 10K-Fold Validation level of validation.

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Journal Info
JURNAL MEDIA INFORMATIKA BUDIDARMA
Website

Abbrev

mib

Publisher

Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Decission Support System, Expert System, Informatics tecnique, Information System, Cryptography, Networking, Security, Computer Science, Image Processing, Artificial Inteligence, Steganography etc (related to informatics and computer ...