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All Journal JUSIFO : Jurnal Sistem Informasi Jurnal Ilmiah KOMPUTASI JUTIM (Jurnal Teknik Informatika Musirawas) Journal of Information Systems and Informatics Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Sistem Komputer dan Informatika (JSON) Journal of Information Technology Ampera Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Ferdiansyah Ferdiansyah
Universitas Bina Darma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Other

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Journal : Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer

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IMPLEMENTASI ALGORITMA NAÏVE BAYES PADA SISTEM PAKAR DIAGNOSA PENYAKIT TIFOID BERBASIS WEB Ilham budiman; Ferdiansyah
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 3 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i3.549

Abstract

Typhoid is an infectious disease that is still a health problem in developing countries, especially in Indonesia. Salmonella typhi is a bacterium that causes typhoid fever which can be transmitted through food or drink contaminated with feces or urine from an infected person. The first step in the management of typhoid is the establishment of an appropriate diagnosis. The expert system application for diagnosing diarrheal disease is made with a web-based application, so that it can be accessed by the wider community, besides this application can also help medical personnel to make decisions in the diagnosis of typhoid. The advantage of the nave Bayes algorithm in this expert system is that it can increase calculations ranging from nausea and vomiting, diarrhea, sore throat, headache, fever and loss of appetite, so obtained 14 rules resulting from interviews with experts, so it can be concluded that the research conducted implemented into a web application can assist users in diagnosing typhoid disease in each patient.
Co-Authors A Andri Aan Restu Mukti, Aan Restu Adam Prasetya Andreean Dharma Arisandi Aziz Awaludin Briandy Tri Putra Briandy Deris Stiawan Edi Surya Negara Evi Yulianingsih Fani Prasetya Fatmasari Fatmasari Gege Ardiyansyah Ilham budiman Kiki Rizky Nova Wardani kiky rizky nova wardani Linda Atika Linda Atika M. Daffa Alkhussayid Muhammad Ashardiansyah Putra Raja Zahilah Md Radzi Rangga Yogasuwara Siti Hajar Othman Sutra Ovi Yansa Tri oktarina Usman Ependi Winoto Chandra Yeni Widyanti Yesi Novaria Kunang