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All Journal Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Journal of Informatics and Data Science (J-IDS)
Sirait, Gian Patar P.
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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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.
Implementasi Metode AHP Pada Sistem Pendukung Keputusan Wisata Taman Kota Medanw Pebrianti, Lidia; Sirait, Gian Patar P.; Purba, Yeremia Tiopan Pandapotan
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 12 No. 1 (2022): Amplifier Mei Vol. 12, No 1 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v12i1.21679

Abstract

Parks are the most alternative tourist attractions. With an open area, as well as a lot of various plants, it really supports the general public just to relax with the family. When traveling, tourists usually decide to visit interesting tourist destinations. The number of tourist destinations available, often makes tourists confused about choosing a destination according to their preferences. Therefore, this research is intended for tourists to be able to determine park tourism destinations in Medan based on several categories based on beauty, security, and facilities. One of the computational methods intended to assist in current decision making is a decision support system or Analytic Hierarchy Process (AHP). In a decision support system, any information can be processed into the best alternatives as an alternative decision result. From the results of the questionnaire analysis stage, 20 out of 31 respondents had difficulty in choosing a park tourism destination. After using the AHP method, the first place is The Le Hu Garden with a weight of 0.501, the second is followed by Taman Cadika Pramuka with a weight of 0.488, and in the last order Taman Sri Deli with a weight value of 0.473.
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 Pebrianti, Lidia Purba, Yeremia Tiopan Pandapotan Refisis, Nice Rejoice