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All Journal Jurnal e-Biomedik Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Da'watuna: Journal of Communication and Islamic Broadcasting Indonesian Journal of Cancer Pustaka: Jurnal Bahasa dan Pendidikan Journal Medical Informatics Technology Journal of Education Religion Humanities and Multidiciplinary Adabi: Journal Of Public Administration And Business Jurnal Pengabdian Dinamika Journal of Global Research in Public Health
Andre Gunawan
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Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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Journal : Journal Medical Informatics Technology

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Implementing the Certainty Factor Method in a Dental Disease Expert System Gunawan, Andre; Islami, Fajrul
Journal Medical Informatics Technology Volume 2 No. 2, June 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i2.33

Abstract

Health, including dental and oral health, is a fundamental human necessity often overlooked by many. Dental and oral diseases can affect anyone unexpectedly, underscoring the critical need for timely professional advice from dentists based on symptoms presented by patients. Various factors contribute to the reluctance in seeking dental consultations, including inadequate awareness of oral health importance, financial constraints, and discomfort from lengthy wait times. This research proposes an Expert System utilizing the Certainty Factor method to diagnose dental diseases efficiently. The Certainty Factor method quantifies the certainty or uncertainty of facts within expert systems. Through computational analysis of multiple symptoms, the system accurately diagnosed a patient with Tooth Faktur disease with a high certainty level of 98.8%. Such an expert system promises to significantly aid dental professionals in diagnosing diseases promptly, facilitating appropriate treatment interventions.
Co-Authors Aulia Nada Soraya Damajanty H. C. Pengemanan Effendy, Erwan Erdianto Erdianto Fadlan Fadlan Fajrul Islami Hedison Polii Hermayati, Amalia Indah Permata Sari Ipah Ema Jumiati Mustika, Putu Pradnyanita Nasution, Rahul Novita Sari Nurkhotijah, Siti Opi Andriani Prasetyasari, Christiani Predani, Ni Luh Putu Diaswari Roni Ekha Putera Siadari, Lagat Paroha Patar Sutejo, Bertha Tedja, I Gusti Ayu Wiradari Widia Edorita Wijaya, Liliana Zetra, Aidinil