Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/6709
Title: Dayak Onion (Eleutherine palmifolia (L) Merr) as An Alternative Treatment in Early Detection of Dental Caries using Certainty Factor
Other Titles: 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
Authors: Puspitasari, Novianti
Budiman, Edy
Widians, Joan Angelina
Wati, Masna
Eka Ramadhan, Arvanda
Keywords: Dayak Onion
Dental Caries
Certainty Factor
Treatment
Expert System
Issue Date: 13-Jan-2021
Publisher: IEEE
Citation: N. Puspitasari, J. A. Widians, E. Budiman, M. Wati and A. E. Ramadhan, "Dayak Onion (Eleutherine palmifolia (L) Merr) as An Alternative Treatment in Early Detection of Dental Caries using Certainty Factor," 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2020, pp. 482-487, doi: 10.1109/ISRITI51436.2020.9315469.
Series/Report no.: DOI;10.1109/ISRITI51436.2020.9315469
Abstract: Dayak onion plants are traditionally used by the Dayak tribe as a medicinal plant to treat dental caries. This plant contains compounds that can inhibit the growth of bacteria that cause dental caries. The public has not yet known about alternative dental caries treatment derived from Dayak onions. This is due to the lack of public knowledge about how to early diagnose dental caries and how to treat using Dayak onions. Expert systems with the Certainty Factor method can be used as a solution in diagnosing early dental caries. The data used in this study consisted of 20 symptoms of dental caries and 6 types of dental caries. This study shows the percentage level of confidence in the results of the initial diagnosis of the type of dental caries suffered by using the certainty factor method and the handling of the diagnosis using the Dayak plant as an initial treatment solution. The results of the accuracy-test showed that the early dental caries diagnosis system was working well.
URI: http://repository.unmul.ac.id/handle/123456789/6709
ISBN: 978-1-7281-8406-7
Appears in Collections:P - Computer Sciences and Information Technology

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