Pengembangan Sistem Pakar Diagnosa Hipertensi Berbasis Web Menggunakan Klasifikasi Naive Bayes

Rauzana - Rauzana, Asrianda - Asrianda, Muhammad Fikry - Muhammad Fikry, Ramadhani - Ramadhani

Abstract


Hypertension is a degenerative disease often referred to as a silent killer because it can trigger serious complications such as stroke, heart failure, and kidney damage. Limited access to medical personnel causes delays in diagnosis and treatment. This study designs a web-based expert system to diagnose hypertension using the Naive Bayes method. The system was developed using PHP programming language and MySQL database. Testing was conducted on 6 datasets, resulting in a diagnostic accuracy of 80%. This system is expected to help the community recognize hypertension symptoms and provide preventive and initial treatment solutions.

Full Text:

PDF

References


Afeni, B.O., Adeoye, O.S. and Adebayo, A.A. (2020) ‘Hypertension prediction system using Naive Bayes classifier’, Journal of Advances in Mathematics and Computer Science, 35(4), pp. 1–10.

Azhar, A. (2021) ‘Sistem pakar diagnosa hipertensi dengan algoritma Naive Bayes’, Jurnal Elektronika dan Teknologi Informasi, 15(2), pp. 45–54.

Berrar, D. (2019) ‘Bayes’ theorem and Naive Bayes classifier’, Encyclopedia of Bioinformatics and Computational Biology. Elsevier, pp. 403–412.

Chaeriko, Y.P., Prasetyo, E. and Nugroho, A. (2022) ‘Penerapan metode Naive Bayes pada sistem pakar diagnosa hipertensi’, Indonesian Journal of Informatics and Research, 2(3), pp. 101–109.

Domingos, P. and Pazzani, M. (1997) ‘On the optimality of the simple Bayesian classifier’, Machine Learning, 29(2–3), pp. 103–130.




DOI: http://dx.doi.org/10.26887/jtsti.v4i2.6208

JTSTI : Journal of Tourism Science, Technology and Industry
E-ISSN 2962-5378 | DOI: 10.26887/jtsti.v2i2

Website: https://journal.isi-padangpanjang.ac.id/index.php/JTST

Email: jurnalprodipariwisata1234@gmail.com

Editor in Chief: Fresti Yuliza, S.Sn., M.A | Managing Editor: Fernando Fasandra, S.ST., M.Par |  | Anggun, A.Md. AB

Publisher: Program Studi Pariwisata, Fakultas Seni Rupa dan Desain, Institut Seni Indonesia Padangpanjang

Editorial Office: Gedung Fakultas Seni Rupa dan Desain Lt. 1 Institut Seni Indonesia Padangpanjang, Jalan Bahder Johan, Kota Padangpanjang, Sumatera Barat, Indonesia 27128 | Phone: (0752) 82077 | Fax: (0752) 82803

JTSTI: Journal of Tourism Science, Technology and Industry © 2022 by Program Studi Pariwisata, Fakultas Seni Rupa dan Desain, Institut Seni Indonesia Padangpanjang is licensed under CC BY 4.0