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Laura Cristina Natalia
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Computer Science & IT Electrical & Electronics Engineering

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Sistem Pendeteksi Penyakit Jantung Berbasis Kecerdasan Buatan Menggunakan Metode Random Forest Rendy Fransiskus Silaban; Nur Hidayat Attamim; Muhammad Juliadi; Laura Cristina Natalia
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 1 (2025): Maret-Juni : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i1.1330

Abstract

This research focuses on the development of an early detection system for heart disease using Artificial Intelligence (AI) and the Random Forest method. Heart disease, particularly coronary heart disease (CHD), is a leading cause of death worldwide, with early detection being a crucial factor in reducing mortality rates. The study uses a dataset from the UCI Machine Learning Repository, consisting of 303 patient records with various medical factors like age, sex, cholesterol levels, and blood pressure. The Random Forest algorithm is employed to create a predictive model capable of classifying whether an individual is at risk for heart disease. Data preprocessing, including normalization and encoding categorical variables, is carried out before training the model. The system achieved a high accuracy rate of 98.5% in predicting heart disease risk. The developed model is deployed as an API and can be integrated into healthcare applications for real-time risk prediction, supporting timely medical decisions. This system aims to contribute to the improvement of early heart disease detection, offering an efficient tool for healthcare professionals.
Co-Authors Muhammad Juliadi Nur Hidayat Attamim Rendy Fransiskus Silaban