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Minimum Error Analysis Using Numerical Methods for Dental Disease Identification

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A toothache is a condition when there is a pain in or around the teeth and jaw. The severity of the pain is a variant, from low to severe. Some causes of a toothache will be fatal if there is no action. Therefore, before suffering dental disease, it is better if the patient or young doctor in the field of health, especially dental health to identify the dental disease directly suffered. In the field of computer science, can provide a recommendation to the type of dental disease suffered by patients based on symptoms experienced. Our paper talks about determining membership function in Fuzzy Inference System (FIS) with the numerical method; Runge Kutta and Euler and reach accuracy point about 90%.

Original languageEnglish
Title of host publicationProceedings of 2019 4th International Conference on Sustainable Information Engineering and Technology, SIET 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-265
Number of pages5
ISBN (Electronic)9781728138787
DOIs
Publication statusPublished - Sept 2019
Event4th International Conference on Sustainable Information Engineering and Technology, SIET 2019 - Lombok, Indonesia
Duration: 28 Sept 201930 Sept 2019

Publication series

NameProceedings of 2019 4th International Conference on Sustainable Information Engineering and Technology, SIET 2019

Conference

Conference4th International Conference on Sustainable Information Engineering and Technology, SIET 2019
Country/TerritoryIndonesia
CityLombok
Period28/09/1930/09/19

Keywords

  • Dental Disease
  • Euler
  • Numerical Methods
  • Optimization
  • Runge-Kutta

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