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All Journal Journal of Tourism Sciences, Technology and Industry
Asrianda, Asrianda -
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Arts Decision Sciences, Operations Research & Management Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Pengembangan Sistem Pakar Diagnosa Hipertensi Berbasis Web Menggunakan Klasifikasi Naive Bayes Rauzana, Rauzana -; Asrianda, Asrianda -; Muhammad Fikry, Muhammad Fikry -; Ramadhani, Ramadhani -
Journal of Tourism Sciences, Technology and Industry Vol 4, No 2 (2025): JTSTI-Journal of Tourism Science, Technology and Industry
Publisher : Institut Seni Indonesia Padangpanjang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26887/jtsti.v4i2.6208

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.
Co-Authors Muhammad Fikry Ramadhani, Ramadhani - Rauzana, Rauzana -