Perbandingan Tingkat Akurasi Algoritma Support Vector Machines (SVM) dan C45 dalam Prediksi Penyakit Jantung

Authors

  • Herliyani Hasanah Universitas Duta Bangsa Surakarta
  • Nurmalitasari Nurmalitasari Universitas Duta Bangsa Surakarta

DOI:

https://doi.org/10.29407/stains.v2i1.2819

Keywords:

jantung, C45, Support Vector Machines (SVM)

Abstract

Penyakit jantung merupakan penyakit yang menyumbang angka kematian relatif tinggi. Tingkat kematian manusia yang disebabkan oleh penyakit jantung merupakan masalah yang tersebar luas di dunia. Tujuan utama dari penelitian ini adalah untuk membandingkan dua algoritma prediksi seseorang dengan penyakit jantung menggunakan kumpulan data yang tersedia untuk umum di Repositori Kaggle dengan kumpulan data penyakit jantung. Algoritma yang digunakan dalam penelitian ini adalah algoritma Support Vector Machines (SVM) dan algoritma C.45. Hasil perbandingan menunjukkan bahwa algoritma SVM merupakan yang tepat dan akurat digunakan untuk memprediksi orang dengan hati penyakit dengan nilai accuracy sebesar 88%.

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Published

2023-01-13

Issue

Vol. 2 No. 1 (2023): STAINS (Seminar Nasional Teknologi & Sains)

Section

Articles

License

Copyright (c) 2023 Herliyani Hasanah, Nurmalitasari Nurmalitasari

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How to Cite

Perbandingan Tingkat Akurasi Algoritma Support Vector Machines (SVM) dan C45 dalam Prediksi Penyakit Jantung. (2023). Seminar Nasional Teknologi & Sains, 2(1), 13-18. https://doi.org/10.29407/stains.v2i1.2819