Perancangan Prototipe Pendiagnosa Penyakit Jantung Koroner Dengan Metode Backpropagation

DESIGNING A PROTOTYPE FOR DIAGNOSING CORONARY HEART DISEASE USING THE BACKPROPAGATION METHOD

Penulis

  • Ranu Iskandar King Mongkut’s Institute of Technology Ladkrabang
  • Prasetyo Prasetyo Universitas Negeri Yogyakarta
  • Muhammad Rofiq Banu Alfath Universitas Negeri Yogyakarta
  • Fatchul Arifin Universitas Negeri Yogyakarta

DOI:

https://doi.org/10.53861/lontarariset.v2i1.81

Kata Kunci:

Backpropagation, Jantung, Koroner

Abstrak

Coronary heart disease is a disorder caused by the inhibition of arteries that drain blood to the heart muscle. This disease is a non-communicable disease which often results in death directly to the victims. This study aims to design an artificial neural network architecture using the backpropagation method that can predict a person having coronary heart disease by inputting cholesterol levels, blood pressure, and blood sugar levels, and body mass index. This research is research and development. The research methods used in making this prototype, namely: (1) problem analysis, (2) needs analysis, (3) literature study, (4) prototype design, and (5) prototype testing. The patient data used to test the prototype were 20. The results show that the neural network model used has an average error value of 0.792% with 5000 training times. A diagnostic prototype for coronary heart disease using backpropagation was successfully built with good results.

Unduhan

Data unduhan belum tersedia.

Unduhan

Diterbitkan

2021-06-07

Cara Mengutip

Iskandar, R., Prasetyo, P., Alfath, M. R. B., & Arifin, F. (2021). Perancangan Prototipe Pendiagnosa Penyakit Jantung Koroner Dengan Metode Backpropagation: DESIGNING A PROTOTYPE FOR DIAGNOSING CORONARY HEART DISEASE USING THE BACKPROPAGATION METHOD. Lontara Journal of Health Science and Technology, 2(1), 1–10. https://doi.org/10.53861/lontarariset.v2i1.81

Terbitan

Vol 2 No 1 (2021): Ilmu dan Teknologi Kesehatan

Bagian

Lontara, Juni 2021

Lisensi

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