Algifari, Algifari (2023) KONSULTASI PENYAKIT IKAN NILA PADA SISTEM BUDIDAYA BIOFLOK MENGGUNAKAN METODE FORWARD CHAINING. Skripsi thesis, Universitas Muhammadiyah Sukabumi.

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Abstract

Biofloc is one of the aquaculture technologies that change the environment with the power of oxygen and microorganisms. Tilapia was chosen as an excellent product for the biofloc cultivation system because it is a herbivore and can digest flakes containing microorganisms such as bacteria, algae, zooplankton and phytoplankton. When culturing bio-flocculation systems, an aerator that provides a continuous supply of oxygen is required to prevent death of the flocculation bacteria. Tilapia farming also suffers from an unavoidable obstacle: tilapia disease. To prevent tilapia diseases, an expert system was created in his Biofloc system to classify tilapia diseases by the forward linkage method. This research aims to create a system to help fish farmers detect and overcome diseases occurring in tilapia. The method used in this study is the forward chain method. Forward chaining is an expert system technique for finding problems by gathering data or facts from experts. The stages used to solve this problem start with knowledge acquisition, knowledge representation, rule or rule creation, decision tree creation and knowledge base creation. This study aims to create a system for diagnosing tilapia disease and its treatment. Data collection techniques used are observation, interviews with experts, and literature study. The data obtained are 9 diseases, 34 symptoms, and 14 solutions. With this application, it is hoped that it will make it easier for ordinary people to use this application so that tilapia diseases can be handled quickly and accurately. Application testing is carried out by fish farmers using the black box method with results that can help fish farmers and become a means of outreach to the public who will cultivate tilapia in the biofloc cultivation system.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Oreochomis Niloticus, Expert System, Forward Chaining, Cultivation Biofloc, Fish Diseases
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User:	Perpus ID UMMI
Date Deposited:	02 Aug 2023 07:23
Last Modified:	02 Aug 2023 07:23
URI:	http://eprints.ummi.ac.id/id/eprint/3275

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