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All Journal Jupiter Zero : Jurnal Sains, Matematika, dan Terapan Innovative: Journal Of Social Science Research Journal of Informatics and Data Science (J-IDS)
Refisis, Nice Rejoice
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Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Other

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Journal : Journal of Informatics and Data Science (J-IDS)

 1 
Development Of An Expert System For Identifying Dental Diseases Using Certainty Factor Method (Case Study : UPT Puskesmas Parmaksian) Sirait, Gian Patar P.; Refisis, Nice Rejoice
Journal of Informatics and Data Science Vol 3, No 1 (2024): JUNE 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/j-ids.v3i1.51274

Abstract

Dental health is crucial for human well-being, yet awareness of its significance is often low. This study addresses the need for an expert system to identify dental diseases, employing the Certainty Factor method. This method allows the system to express the level of certainty in expert statements, facilitating personalized use. The developed expert system calculates Certainty Factor values for each symptom, resulting in an 83% accuracy rate in identifying dental diseases based on tests conducted with 47 out of 56 cases. This research contributes to the field by providing an effective tool for dental disease identification, enhancing both awareness and practical applications in oral health.
Development Of An Expert System For Identifying Dental Diseases Using Certainty Factor Method (Case Study : UPT Puskesmas Parmaksian) Sirait, Gian Patar P.; Refisis, Nice Rejoice
Journal of Informatics and Data Science Vol. 3 No. 1 (2024): JUNE 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/j-ids.v3i1.51274

Abstract

Dental health is crucial for human well-being, yet awareness of its significance is often low. This study addresses the need for an expert system to identify dental diseases, employing the Certainty Factor method. This method allows the system to express the level of certainty in expert statements, facilitating personalized use. The developed expert system calculates Certainty Factor values for each symptom, resulting in an 83% accuracy rate in identifying dental diseases based on tests conducted with 47 out of 56 cases. This research contributes to the field by providing an effective tool for dental disease identification, enhancing both awareness and practical applications in oral health.
Co-Authors Elvis Napitupulu, Elvis Said . Iskandar Siburian, Rulli Prasetio Bane Sinaga, Ronaldo Mardianson Sirait, Gian Patar P. Susiana, Susiana Yulita Molliq Rangkuti