Design of Dental Disease Diagnosis Expert System Using Web-Based Forward Chaining Method

Kurniawan, M. Rizky (2022) Design of Dental Disease Diagnosis Expert System Using Web-Based Forward Chaining Method. Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

Physical health is important, but sometimes many people don't pay attention because they are lazy to seek treatment, when the disease is severe, they just get checked out. One of them is teeth. Dental disease is a common disease suffered by the Indonesian people, but the detection of what diseases they suffer is not fully understood by the public, such as disease conditions such as tooth erosion, tooth abscess, dental caries. To make it easier for people with dental disease to know what diseases and symptoms they are experiencing and what preventive and therapeutic solutions should be, whether they can be treated at home or should they go to the hospital. So it is necessary to have an expert system to help identify patients with toothache. In this study, the Forward Chaining (FC) method is applied as an alternative system that can be used to determine and provide solutions and treatment therapies based on the symptoms felt. Keyword : Expert System, Forward Chaining, Dental Disease

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Sistem Pakar, Forward Chaining, Penyakit Gigi
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik > Program Studi Teknik Informatika
Depositing User: M.Rizky Kurniawan
Date Deposited: 29 Aug 2022 08:24
Last Modified: 29 Aug 2022 08:24
URI: http://repository.untag-sby.ac.id/id/eprint/19743

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