Implementasi Metode Inferensi Forward Chaining Pada Sistem Pakar Untuk Mendiagnosis Penyakit Pada Rusa Timor (Cervus Timorensis)

TAE, Lusiana Novi (2024) Implementasi Metode Inferensi Forward Chaining Pada Sistem Pakar Untuk Mendiagnosis Penyakit Pada Rusa Timor (Cervus Timorensis). Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

Nowadays, such rapid technological advances bring many innovations to human life and affect many aspects of life, not only in the fields of education,information but also in farming. Today's growing information technology is the ability of computers to adopt human knowledge or known as artificial intelligence. The problem in the field is the lack of direct treatment of sick timorensis deer by farm officials. Furthermore, the farmers who have obtained an arrest permit from the BKSDA are in difficulty because they do not have a private veterinarian to deal with the health cases of the Timorese deer. Some commonly diseases are: Anthrax disease, Bruselosis, Fasciolysis, Skabies and pink eye. So this research will build a system of experts using the implementation of forward chaining inference methods to diagnose diseases in timor deer. The forward chaining method is a combination of conditional rules, in which in this method tracking or search techniques are performed on the basis of existing information and then combined rules to reach a conclusion or purpose. Forward chaining is also known as data-based search, which starts from the premise or input information (if) and ends with finding a conclusion (then).

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Expert System, Forward Chaining, Timor Deer (Cervus Timorensis)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Teknik > Program Studi Ilmu Komputer
Depositing User: Lusiana Novi Tae
Date Deposited: 10 Oct 2024 05:44
Last Modified: 10 Oct 2024 05:44
URI: http://repository.unwira.ac.id/id/eprint/17251

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