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All Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Saturnus: Jurnal Teknologi dan Sistem Informasi
Fresti Anjeli
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Computer Science & IT

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Journal : Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi

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Sistem Pakar Mendiagnosa Penyakit Pada Gangguan Pernafasan Menggunakan Metode Naïve Bayes Fresti Anjeli; Yani Maulita; Husnul Khair
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.198

Abstract

Respiratory tract disease is a common condition that can affect anyone regardless of age. Starting from relatively mild symptoms to alarming symptoms. Although some respiratory diseases are not life-threatening, they should not be taken lightly as they can cause serious complications. What often happens is that it is difficult for a patient to see a specialist doctor because of the limited number of respiratory specialists who cannot fully serve patients, so people often have difficulty if they want to consult directly. This triggers the habit of the community to treat complaints on their own with simple drugs bought freely at drugstores or pharmacies without knowing for sure the disease they suffer, as well as the length of waiting for queues, consultation fees that are quite expensive and not everyone has a short distance to the hospital prefer not to go to a specialist. Like other organs of the human body, breathing is also prone to various diseases. Respiratory organs will be disrupted and can even cause death. By using the Naïve Bayes method above, it is known that the diagnosis of respiratory disease is that the young female patient is diagnosed with a type of respiratory disease called Farangitis (P05) with a percentage of 47.44%.
Co-Authors Elfira Iriani Eninta Rahayu Barus Khair, Husnul Yani Maulita