AN IMPLEMENTATION OF FUZZY LOGIC TO SALINITY CONTROL OF CHANOS CHANOS POND BASED ON INTERNET OF THINGS
No Thumbnail Available
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Psychosocial Rehabilitation, Vol. 24, Issue 1
Abstract
Chanos chanos has great potential to become a business field in Indonesia. To manage a farm many
factors must be considered, one of the factors that must be managed well is Water Salinity. At present in
Tanjungpakis - Karawang Village, pond farmers still use traditional methods to find out the condition of pond water.
Farmers do it by looking at the color of water, the smell of water and using taste buds. Generally brackish chanos
chanos can grow well in water conditions that have saline levels ranging from 5 - 25 ppt. With changing
environmental conditions and weather, the salinity of ponds usually increases or decreases, during the dry season
the pond water salinity usually increases quite dramatically, whereas in the rainy season the pond's water salinity is
usually at normal or even less normal limits. Farmers in the pond do additional fresh water in the dry season and
increase sea water in the rainy season so that the pond's water salinity remains stable. this study made a water
salinity control system for chanos chanos fishponds. The control system is carried out by measuring the salinity of
pond water using conductivity sensors, processing data using fuzzy logic, direct monitoring through computers and
mobile phones and using aquaculture, namely freshwater and sea water pumps to maintain the stability of salt levels
in the ponds. This system runs well with an accuracy rate of 87.8% compared to refractor meter and condition
determination using fuzzy logic with 100% accuracy.
Description
Keywords
Conductivity, Salinity, Fuzzy Logic, Internet of Things.