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Model SVM menghasilkan nilai evaluasi berupa accuracy 0,85, precision 0,93, recall 0,76, dan f-1 score 0,83. Hasil tersebut digunakan sebagai basis training untuk memprediksi risiko penyakit jantung. Sistem dibangun menggunakan library Streamlit sehingga dapat diakses melalui situs web, mendukung proses diagnosis berbantuan teknologi informasi.","Implementasi Machine Learning Untuk Prediksi Penyakit Jantung Menggunakan Algoritma Support Vector Machine  \nRahmat Hidayat1*, Yandiko Saputra Sy2, Teguh Sujana3, Mirdatul Husnah4, Haris Tri Saputra5,  \nFinanta Okmayura6  \n1Program Studi Manajemen Informatika, FMIPA, Universitas Riau; [rahmat.hidayat@lecturer.unri.ac.id](rahmat.hidayat@lecturer.unri.ac.id)[ ](rahmat.hidayat@lecturer.unri.ac.id)2Program Studi Manajemen Informatika, FMIPA, Universitas Riau; [yandiko.saputra@lecturer.unri.ac.id](yandiko.saputra@lecturer.unri.ac.id)[ ](yandiko.saputra@lecturer.unri.ac.id)3Program Studi Sistem Informasi, FMIPA, Universitas Riau; [teguh.sujana@lecturer.unri.ac.id](teguh.sujana@lecturer.unri.ac.id)[ ](teguh.sujana@lecturer.unri.ac.id)4Program Studi Sistem Informasi, FMIPA, Universitas Riau; [mirdatulhusnah@lecturer.unri.ac.id](mirdatulhusnah@lecturer.unri.ac.id)[ ](mirdatulhusnah@lecturer.unri.ac.id)5Program Studi Sistem Informasi, FMIPA, Universitas Riau; [haristrisaputra@lecturer.unri.ac.id](haristrisaputra@lecturer.unri.ac.id)[ ](haristrisaputra@lecturer.unri.ac.id)6Program Studi Sistem Informasi, FMIPA, Universitas Riau; [finantaokmayura@lecturer.unri.ac.id](finantaokmayura@lecturer.unri.ac.id)  \n\n| Keywords:\u003Cbr>machine learning, classification, svm,\u003Cbr>heart disease | ABSTRACT |  |\n| --- | --- | --- |\n|  | Heart disease is currently a disease that has taken over many human lives. Data shows that more than 17 million people have died from heart disease. The high number of deaths, therefore, requires special handling to treat and prevent heart disease. In the development of technology, diagnosis of heart disease can be done with the help of information technology, one of which is through machine learning. This study aims to implement machine learning through the SVM algorithm to predict heart disease. The model formed by SVM produces an evaluation value indicated by an accuracy value of 0.85, a precision of 0.93, a recall of 0.76, and an f-1 score of 0.83. This model is used as training data to predict heart disease which is then successfully used to create a system through the Streamlit library which can be easily accessed via the website. |  |\n| kata Kunci: | ABSTRAK |  |\n| machine learning, klasifikasi, svm,\u003Cbr>penyakit jantung | Penyakit jantung saat ini menjadipenyakit yang telah banyak merebut nyawa manusia. Data menunjukkan bahwa lebih dari 17 juta jiwa meninggal dikarenakan penyakit jantung. Banyaknya angka kematian tersebut, oleh karena itu dibutuhkan penanganankhusus untuk melakukan penanganan dan pencegahan terhadap penyakit jantung. Seiring dengan perkembangan teknologi, diagnosis pada penyakit jantung dapatdijalankan dengan bantuan teknologi informasi, salah satunya adalah melalui machine learning. Penelitian ini bertujuan untuk melakukan implementasi machine learning melalui algoritma svm untuk memprediksi penyakit jantung. Model yang terbentuk oleh SVM menghasilkan nilai evaluasi yang ditunjukkan dengan nilai accuracy sebesar 0,85, precision sebesar 0,93, recall sebesar 0,76, dan f-1 score sebesar 0,83 . Model ini sebagai data training untuk memprediksi penyakit jantung yang selanjutnyaberhasil dilakukan pembuatan sistem melalui library streamlit yang dapat dengan mudah diakses melalui situs web. |  |\n| Korespondensi Penulis:\u003Cbr>Rahmat Hidayat,\u003Cbr>Universitas Riau,\u003Cbr>Email: [rahmat.hidayat@lecturer.unri.ac.id](rahmat.hidayat@lecturer.unri.ac.id) |  | Submitted : 09-08-2024; Accepted : 25-09-2024;\u003Cbr>Published : 30-09-2024\u003Cbr>Copyright (c) 2024 The Author (s)This article is distributed\u003Cbr>under a Creative Commons Attribution-ShareAlike 4.0\u003Cbr>International License (CC BY-SA 4.0) |\n\n1. PENDAHULUAN  \nPenyakit jantung saat ini menjadi salah satu penyakit yang sudah banyak meregang nyawa. Penyakit jantung merupakan jenis penyakit tidak menular yang dapat menyebabkan kematian denganjumlah yang sangat besar. Jumlahkematian oleh penyakit jantung di seluruh dunia saat ini menurut data World Health Organization (WHO) adalah ","cbCaimIrvSCKyamx","https://ap.wps.com/l/cbCaimIrvSCKyamx","pdf",303999,3,1,8,"Indonesian","id",113,"# PENDAHULUAN\n## Latar belakang penyakit jantung\n## Faktor risiko dan kebutuhan diagnosis berbantuan teknologi\n# METODE\n## Implementasi machine learning dengan SVM\n## Pengujian menggunakan metrik evaluasi\n# SISTEM\n## Pembuatan aplikasi menggunakan Streamlit","[{\"question\":\"Penelitian ini bertujuan untuk apa?\",\"answer\":\"Penelitian ini bertujuan mengimplementasikan machine learning menggunakan algoritma SVM untuk memprediksi penyakit jantung.\"},{\"question\":\"Bagaimana performa model SVM pada penelitian ini?\",\"answer\":\"Model SVM menghasilkan accuracy 0,85, precision 0,93, recall 0,76, dan f-1 score 0,83.\"},{\"question\":\"Bagaimana hasil prediksi digunakan dalam sistem?\",\"answer\":\"Model dan hasilnya digunakan sebagai data training untuk memprediksi penyakit jantung, lalu diintegrasikan ke sistem berbasis Streamlit agar dapat diakses melalui situs web.\"}]","Implementasi Machine Learning Untuk Prediksi Penyakit Jantung Menggunakan Algoritma Support Vector Machine | 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