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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Fountain of Informatics Journal Sistemasi: Jurnal Sistem Informasi Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial JITK (Jurnal Ilmu Pengetahuan dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Mantik Journal of Computer System and Informatics (JoSYC) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sains dan Teknologi STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer
Susanto, Erliyan Redy
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Journal : Building of Informatics, Technology and Science

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Optimasi Performa Prediksi Penyakit Jantung Menggunakan Teknik Stacking Classifier Amelya, Eka; Susanto, Erliyan Redy
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6843

Abstract

Cardiovascular diseases, including heart disease, are among the leading causes of death in Indonesia. Heart disease is a condition that disrupts the function of the heart and blood vessels, often caused by blockages or narrowing of the arteries. Arteries play a crucial role in delivering oxygen-rich blood from the heart to the entire body, including the heart muscles through the coronary arteries. This condition can result from various factors such as vascular blockages, inflammation, infections, or congenital abnormalities. Such issues can impair the heart's ability to pump blood efficiently, posing a serious threat to an individual's health. This study aims to improve the accuracy of heart disease prediction by implementing the stacking classifier technique—an ensemble learning method that combines multiple machine learning algorithms, namely Support Vector Machine (SVM), Logistic Regression, and Decision Tree. The dataset used has undergone a standardization process and has been validated using the stratified k-fold cross-validation method to ensure stable predictive results. The primary contribution of this research lies in enhancing the accuracy and efficiency of heart disease diagnosis through the application of the stacking classifier, which effectively handles complex and imbalanced datasets. Previous studies have utilized the SMOTEEN technique for heart disease prediction. However, the findings of this study demonstrate that the stacking classifier approach performs better. Evaluation results show that this method achieves an accuracy of 88.52%, precision of 87.88%, recall of 90.62%, and an ROC-AUC of 94.18%, proving its effectiveness in improving medical diagnosis reliability and reducing prediction errors that could pose risks in the healthcare field.
Co-Authors ., Rusliyawati Adela, Marsya Agus Wantoro Amarudin, Amarudin Amelya, Eka Andi Nurkholis Az Zahra, Renny Fatimah Budiman, Ega Cahyana, Agum David Kurniawan DAVID KURNIAWAN Doris Juarsa Eka Pranajaya, Akbar Estri Pratiwi, Kyky Fidya Fadli, Muhammad Fudholi, Muhammad Fahmi Hendratno, Hary Inzaghi, M. Rana Irawan, Made Kevinda Sari Lestari, Ninik Maylanda, Putri Oktaria Misdiantoro, Diky Muhammad Fadli Neneng Neneng Neneng, N Nirwana Hendrastuty Purwanti, Dian Sri Putri, Made Yuninda Rahmada, Alfin Ramadhani, Resvi Restu Anggoro S, Muhammad Ikhsan Setiawansyah Setiawansyah Simarmata, Yohanes Surono, Muhammad Tyas, Khoirunisa Cahyaning Ulum, Faruk Wijaya, Suhenda Yulian, Tri