Determination of Appropriate Fish Culture Method Based on Water Quality Using Expert System

Suwarsito, Suwarsito and Mustafidah, Hindayati (2018) Determination of Appropriate Fish Culture Method Based on Water Quality Using Expert System. Advanced Science Letters, 24 (12). pp. 9178-9181. ISSN 1936-7317

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Abstract

Fish as source of animal protein have been cultured intensively Indonesia. Indonesia is one of the maritime countries in the world where the water areas are larger than the mainland areas. The success of fish culture was strongly influenced by water quality. Parameters of water quality that influence fish culture are temperature, salinity, pH, oxygen, NH3, NO2, CO2, and water transparency. Determining the suitability of water quality for fish culture is very difficult because not every fish can adapt to it very well. Therefore, it needs a system to help determine the appropriate fish to be cultured based on water quality conditions. This system was created in the form of a computer program with a thinking capability as an expert, known as an expert system. The expert system was developed based on the sequence of steps of knowledge acquisition, knowledge representation, and the construction of an expert system shell. Knowledge was achieved from expert, literature, and field study. This knowledge was represented in rule-based representation. Expert system shell was built in C++ language programming. The expert system was developed using backward chaining method to find the appropriate cultured fish under conditions of water quality parameters. Knowledge of the water quality parameters and appropriate cultured fish was stored in a knowledge base. With the expert system, appropriate cultured fish under conditions of water quality parameters can be identified quickly. Hopefully, users will get optimum fish growth.

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