SISTEM PAKAR DIAGNOSA PENYAKIT PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR

Arifin, Zainal (2019) SISTEM PAKAR DIAGNOSA PENYAKIT PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR. Tugas Akhir thesis, University of Technology Yogyakarta.

[img]
Preview
Text
Naskah Publikasi-Zainal Arifin-5150411217.pdf

Download (584kB) | Preview

Abstract

Toddlers are very susceptible to germs and lack of sensitivity to the symptoms of a diseasem which is a fear for parents. In helping parents as service users, an expert who can make it easier to diagnose the disease early is very much needed in order to be able to do prevention earlier. The authors aim to create an expert system that can diagnose diseases in infants by using certainty factor methods in order to help the public to find out the disease suffered based on symptoms experienced more easily without being limited in time and place because they have to consult directly with the doctor, so they can provide quick and appropriate action. This knowledge was obtained from various sources including research and interviews with experts in their fields and books related to toddlers' disease. The drawing of conclusions in this expert system uses the certainty factor (CF) method. The certainty factor (CF) method is used to draw a conclusion from a problem in diagnosing a disease and the amount of confidence in a particular element, in accordance with the standards given by an expert by introducing the concepts of belief and uncertainty. The accuracy results obtained by the expert system for diagnosing childhood illness are in accordance with the manual calculations that have been made. Keywords: Expert system, child disease, web, certainty factor

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 02 Nov 2019 14:34
Last Modified: 02 Nov 2019 14:34
URI: http://eprints.uty.ac.id/id/eprint/4188

Actions (login required)

View Item View Item