SISTEM DIAGNOSIS AWAL PENYAKIT KULIT KUCING MENGGUNAKAN METODE CERTAINTY FACTOR

Vikasari, Meiliana (2019) SISTEM DIAGNOSIS AWAL PENYAKIT KULIT KUCING MENGGUNAKAN METODE CERTAINTY FACTOR. Tugas Akhir thesis, University of Technology Yogyakarta.

[img]
Preview
Text
Naskah_Publikasi_Meiliana Vikasari_5140411380.pdf

Download (998kB) | Preview

Abstract

Nowadays raising animals is considered a favored hobby, one of which is caring for cats. But in caring for cats there are some important things to know. Food and care must be considered so that the health of your pet's cat is maintained. Whenever a cat is ill, the keeper tries to bring it to the animal clinic, while taking it takes quite a long time. So the condition of the cat can worsen. So the keeper is required to know the condition of the cat in order to immediately get first aid in cats when sick. So in solving the problem of diagnosis, with technical calculations involving the computational system, the level of information needs as a case resolution. Application development is intended to apply science into a program that can diagnose the symptoms of skin diseases in cats. Certainty Factor is a method that is not monotonous in solving uncertainty problems. This system was created to diagnose types of skin diseases in cats after applying the Certainty Factor method. The system can also perform data management if there are changes in disease data, symptoms, and treatment solutions. Diagnosis system with Certainty Factor according to analysis from experts. Keywords: Symptoms, Diagnosis, Cat Skin Disease, Certainty Factor.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknologi Informasi dan Elektro > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 02 Nov 2019 15:18
Last Modified: 02 Nov 2019 15:18
URI: http://eprints.uty.ac.id/id/eprint/4196

Actions (login required)

View Item View Item