SISTEM PAKAR DIAGNOSA PENYAKIT GIGI DAN MULUT MENGGUNAKAN METODE CERTAINTY FACTOR
Keywords:
oral, health, expert system, diagnoses, dentalAbstract
Oral health issues have become a significant concern in Indonesia, with over half of the population experiencing dental and oral problems, while only a fraction receives adequate treatment. This highlights the urgent need for solutions to improve awareness and access to dental care. This study proposes the development of an expert system for diagnosing dental and oral diseases using the Certainty Factor (CF) method. This method was chosen for its capability to handle uncertainty in medical diagnoses and integrate expert knowledge with empirical data. The aim of the research is to evaluate the accuracy of the CF method in diagnosing dental and oral diseases based on patient clinical data. The developed expert system analyzes patient symptoms, compares them with existing knowledge, and provides a diagnosis with a certain level of certainty. Results indicate that Gingivitis Ulcerative Necrotizing Acute (P01) is the most likely diagnosis, with the highest CF of 0.9954. Trench Mouth (P02) and Gingivostomatitis (P09) are also significant possibilities but with lower CF values. The system is expected to enhance the quality and accessibility of dental care services in Indonesia by facilitating faster and more accurate diagnoses, though clinical validation is essential for accurate diagnosis.
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