Indonesia is an archipelagic country with an area of 5.8 million km 2

or equivalent to 2/3 in Indonesia, The territorial waters of Indonesia have been

recognized as the Nation's Insight by the United Nations Convention on the Law of the Sea (UNCLOS) in 1982, but with the vast waters of Indonesia, do not make Indonesia free from imported fish from various countries. Inappropriate

aquaculture production can result in financial losses, energy, time, and others. So knowledge of intensive aquaculture production is needed. Knowledge of aquaculture production that can be obtained by fish farmers and related parties

requires a short time in obtaining it. Therefore the purpose of this research is to design a decision support system that has been computerized which can determinethe type of fish that can be produced intensively based on water quality in the areaused. Methods in the process of determining fish species in this study using themethod of Simple Additive Weighting (SAW). The SAW method is used because itsolves complex problems based on predetermined criteria and preferenceweights.Parameters used to determine suitable fish species based on water quality aretemperature, degree of acidity (pH), dissolved oxygen (DO), carbon dioxide (CO2),ammonia (NH3) and brightness (cm). The fish used in this study are Bandeng,Baung, Bawal Air Tawar, Belida, Belut, Betutu, Beronang, Gabus, Gurami,Jelawat, Kakap Merah, Kakap Putih, Kepiting Bakau, Kerapu, Kobia, Lele, IkanMas, Nila, Nilem, Patin, Sidat, Tawes, Udang Laut and Udang Galah

.

Key words:

aquaculture, Simple Additive Weighting

(SAW), fish