Abstract

This research aims to find the best solution in examination of milkfish freshness on small businesses. Inspection techniques of milkfish freshness is still determined by means of the analysis of Microbiology and chemistry. This technique is considered less appropriate because in addition requires a lot of manpower which is vulnerable in doing physical fatigue and errors, also requires a large cost and time, thereby affecting the fish production of milkfish. In this research proposed a method of image processing with the technique of finding the difference in the value of R, G, B on the reference image (Trainer) and the input image (test) next to a value calculated by the difference equation of Euclidean (Length) and compared with the value of the threshold (T). Reference data used 5 fish fresh milkfish. So the resulting reference image at position R = 160, G = 50 B = 35 and threshold = 55, From the results of the experiment 10 fish fresh milkfish results 100% detection, and 10 fish not fresh milkfish experiment results 80% detection. and it has tested the observations of fishermen and fish freshness detection tool as many as 30 samples of fish fresh milkfish, then the resulting value of fresh fish detection of 100% of the observations of fishermen

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