Pengembangan Sistem Deteksi Dini Gagal Jantung Berbasis Naïve Bayes

Authors

  • Rika Rokhana Politeknik Elektronika Negeri Surabaya
  • Moch. Rochmad Politeknik Elektronika Negeri Surabaya
  • Aldorama Satriagung Aziz Politeknik Elektronika Negeri Surabaya

DOI:

https://doi.org/10.30595/jrre.v7i2.26995

Keywords:

HFrEF, Naïve Bayes, ESP32, Gagal jantung, Elektrokardiogram

Abstract

Gagal jantung, khususnya Heart Failure with Reduced Ejection Fraction (HFrEF), merupakan salah satu penyebab kematian tertinggi di dunia. Deteksi dini sangat penting untuk mencegah komplikasi lanjutan, namun sering kali bergantung pada pemeriksaan medis lanjutan yang tidak selalu mudah diakses. Penelitian ini bertujuan untuk merancang sistem prediksi dini penyakit gagal jantung secara praktis dengan menggunakan lima parameter utama, yaitu usia, jenis kelamin, tekanan darah, detak jantung maksimal, dan kemiringan segmen ST. Sistem dibangun menggunakan mikrokontroler ESP32 yang terintegrasi dengan sensor AD8232 untuk deteksi sinyal EKG, sensor MPX5050GP untuk tekanan darah, dan sensor MAX30102 untuk detak jantung. Data hasil pengukuran diklasifikasikan menggunakan metode Naïve Bayes untuk memprediksi risiko gagal jantung secara otomatis. Perangkat ini dirancang agar mudah digunakan, cukup dengan meletakkan jari di atas sensor, memasang manset, dan menempelkan elektroda. Hasil pengujian terhadap 30 pasien menunjukkan akurasi prediksi sebesar 96,6%, dengan rata-rata tingkat eror pengukuran sebesar 2,34% untuk tekanan darah dan 2,63% untuk detak jantung.

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Published

2025-12-05

How to Cite

Rokhana, R., Moch. Rochmad, & Aziz, A. S. (2025). Pengembangan Sistem Deteksi Dini Gagal Jantung Berbasis Naïve Bayes. Jurnal Riset Rekayasa Elektro, 7(2), 151–162. https://doi.org/10.30595/jrre.v7i2.26995

Issue

Vol. 7 No. 2 (2025): JRRE VOL 7 NO 2 DESEMBER 2025

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Articles

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Creative Commons License
Jurnal Riset Rekayasa Elektro is licensed under a Creative Commons Attribution 4.0 International License.