Application of Certainty Factor Method in Intelligent System for Diagnosis of Periodontal Disease in Cigarette AddictsApplication of Certainty Factor Method in Intelligent System for Diagnosis of Periodontal Disease in Cigarette Addicts

Authors

  • Ahmadi Irmansyah Lubis STMIK Triguna Dharma, Medan, Indonesia
  • Nur Yanti Lumban Gaol STMIK Triguna Dharma, Medan, Indonesia

DOI:

10.33395/sinkron.v7i4.11695

Keywords:

Expert System; Periodontal Disease; Certainty Factor; Artifial Intelligence; Android

Abstract

This study discusses the design of an Android-based innovative application that is useful in the early diagnosis of periodontal disease in cigarette addicts. The problem which is the main topic of discussion in this study is the health issue of organs that are often ignored by humans, namely the teeth and mouth. Then one of the types of dental and oral diseases that many people often complain about is the periodontal disease which also gets less attention in Indonesian society. And one of the causes of this periodontal disease is caused by smoking habits. So to facilitate the identification in knowing the periodontal symptoms caused by the cigarette, a system that can identify the early symptoms of periodontal disease is needed. The technology proposed to build the system applies expert system technology with Certainty Factor. In building an android-based innovative application to diagnose periodontal disease, there are cigarette addicts in this study with the Research & Development research method to produce an output that can be right on target by the expected target. In addition, interviews and direct observation techniques were also carried out with experts or experts in the field of dental and oral diseases to collect the required data on the needs of the system to be built.

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How to Cite

Lubis, A. I. ., & Gaol, N. Y. L. . (2022). Application of Certainty Factor Method in Intelligent System for Diagnosis of Periodontal Disease in Cigarette AddictsApplication of Certainty Factor Method in Intelligent System for Diagnosis of Periodontal Disease in Cigarette Addicts. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(4), 2272-2279. https://doi.org/10.33395/sinkron.v7i4.11695