Expert System Using Forward Chaining to Determine Freshwater Fish Types Based on Water Quality and Area Conditions

The abundance of water resources in Indonesia can be utilized, mainly supported by the favorable tropical climate for cultivating freshwater fish. Water quality and area conditions have several parameters that influence the types of fish that can be cultivated. The problem is the lack of information regarding the suitability of the types of freshwater fish that can be cultivated for water quality and area conditions. Therefore, in this research, an expert system was built to provide information about the types of freshwater fish suitable for cultivation in water media with specific water quality and area conditions. The water quality parameters used are pH, water temperature, dissolved oxygen, ammonia, and dissolved solids, while area condition parameters include air temperature and terrain height. The freshwater fish data consists of 11 types: gourami, catfish, wader, pomfret, nilem, goldfish, snakehead, parrot, asian catfish, tilapia, and tawes. The expert system was built using the forward chaining method, implemented rule-based in the form of IF-THEN. This inference method begins by matching the premise, namely the water quality parameter values and area conditions, to get a conclusion in the form of a type of freshwater fish by the premises. Based on the test results, the expert system built can provide recommendations for types of freshwater fish that can be cultivated based on suitability for water quality and existing area conditions.