SISTEM PAKAR DIAGNOSA PENYAKIT IKAN NILA BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING

Khobbibah Riny Nur W, Ema Utami
UNIVERSITAS AMIKOM YOGYAKARTA.2017

A B S T R A C T

Fish cultivation is one of the promising business prospects, especially tilapia. But there are still many obstacles encountered by fish farmers, such as fish diseases, which resulted in maximal harvest fish farmers and the lack of experts or experts as a place to consult the fish so that the need for aids in the form of a system that can provide a solution anytime.

By building expert systems whose data are obtained from experts so that the system built has the ability to diagnose as an expert in the field. Expert systems can be used as a tool for consultation and help experts and tilapia farmers who are experiencing problems in identifying the disease in tilapia along with the solution.

In order for expert systems can be accessed easily by anyone and anywhere connected to the Internet network, this expert system is made based on the web. MySQL database used in this system will store facts that are built by using PHP programming language. Knowledge base used consists of rules by using inference engine forward chaining. The results of the research that has been made, found that the website along with this expert system makes it easy for the layman or beginner to cultivate tilapia fish in order to produce a healthy and superior tilapia fish.

Keywords: expert systems, tilapia fish, disease, forward chaining

CategoryUndergraduate Thesis
Posted Date( undocumented )
Modified Date14 September 2017
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