Classification of Heart Disease Using Decision Tree and Random Forest

Authors

  • Sabrina Adnin Kamila Universitas Sebelas Maret
  • RR Sri Sulistijowati Universitas Sebelas Maret
  • Irwan Susanto Universitas Sebelas Maret

DOI:

https://doi.org/10.29407/stains.v2i1.2816

Abstract

Salah satu penyakit yang paling banyak menyebabkan kematian adalah penyakit jantung (heart disease). Penyakit jantung juga merupakan penyakit yang paling besar dibiayai oleh BPJS Kesehatan. Sebagai upaya preventif dalam penanganan penyakit jantung, perlu dilakukan prediksi penyakit jantung pada pasien. Proses klasifikasi untuk memprediksi penyakit jantung dilakukan dengan menggunakan decision tree dan random forest. Objek penelitian ini menggunakan Heart Disease Cleveland UCI Dataset dengan 297 record data. Kemudian melakukan k-fold cross validation dengan nilai k = 9 yang menghasilkan data training sebanyak 264 sampel dan data testing sebanyak 33 sampel. Hasil dari kedua klasifikasi akan dibandingkan dengan melihat performa akurasi, precision, recall, dan F1 score.

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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 Sabrina Adnin Kamila, RR Sri Sulistijowati, Irwan Susanto

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How to Cite

Classification of Heart Disease Using Decision Tree and Random Forest. (2023). Seminar Nasional Teknologi & Sains, 2(1), 7-12. https://doi.org/10.29407/stains.v2i1.2816