Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal PREDATECS: Public Research Journal of Engineering, Data Technology and Computer Science
Muhammad Yusuf bin Shahar
Universitas Sains Islam Malaysia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementation of Support Vector Machine and Random Forest for Heart Failure Disease Classification Astriana Rahmah; Nurhafiza Sepriyanti; Muhammad Hafis Zikri; Isnani Ambarani; Muhammad Yusuf bin Shahar
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 1 No. 1: PREDATECS July 2023
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v1i1.816

Abstract

Heart failure is a life-threatening disease and its management should be considered a global public health priority. The use of data mining in data processing operations to identify existing patterns and identify the information stored in them. In this study, researchers classify using two algorithms for comparison of algorithms, namely Random Forest (RF) and Support Vector Machine (SVM). The purpose of this study is to find patterns in finding the best accuracy for the 2 algorithms. The results of this study obtained an accuracy of 81.51%. with a Hold Out of 60 : 40% on the SVM algorithm, while an accuracy of 83.33 % with a Hold Out of 9 0 : 1 0% on the R F algorithm . From these results it can be seen that the highest accuracy value is obtained at RF making the best algorithm compared to the SVM algorithm.
Co-Authors Astriana Rahmah Isnani Ambarani Muhammad Hafis Zikri Nurhafiza Sepriyanti