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All Journal JUTIM (Jurnal Teknik Informatika Musirawas) Building of Informatics, Technology and Science
Muntari, Siti
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Computer Science & IT Control & Systems Engineering Engineering Other

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Journal : Building of Informatics, Technology and Science

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Sistem Pakar Diagnosa Penyakit Pada Perokok menggunakan Metode Teorema Naive Bayes Muntari, Siti; Febriansyah, Febriansyah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.522 KB) | DOI: 10.47065/bits.v3i4.1196

Abstract

The purpose of this research is to produce an expert system for diagnosing disease in smokers using the Naïve Bayes Theorem method. The problem that arises in this study is the process of determining the disease in smokers through the diagnosis of experts, patients must come to the hospital and see a doctor during working hours. In the development of this expert system using the waterfall SDLC method with the stages of Analysis, Design, Coding, Testing, and testing methods carried out in this Blackbox research. To determine the type of smoker's disease, this system uses the PHP MySQL Database programming language, and Dreamweaver uses. The results of this study are in the form of a website-based expert system that is able to help users or the public in diagnosing passive smoking and providing formations about smoking diseases. The results of the Blackbox Testing test have an average score of 4.2 with a valid category
Co-Authors Febriansyah Febriansyah Putriani, Resti Rahmadayanti, Fitria