Expert System Diagnosis Dental Disease Using Certainty Factor Method

Author:

Setiabudi Whisnu Ulinnuha,Sugiharti Endang,Arini Florentina Yuni

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate.

Publisher

Universitas Negeri Semarang

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Web-Based Expert System for Diagnosing Cervical Cancer Using Dempster-Shafer Method;2023 7th International Conference on New Media Studies (CONMEDIA);2023-12-06

2. Comparison of Dempster Shafer and Certainty Factor for Anxiety Disorder Detection System;2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA);2023-10-12

3. Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood;INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi;2023-02-10

4. Clinical Applications of Rule-based Systems in Different Dental Specialties: Scoping Review (Preprint);2022-01-17

5. Comparison of Case-Based Reasoning and Certainty Factor Methods for Dengue Diagnosis;2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2021-12-16

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