Detection of The Freshness Level of Goldfish Through Eye Objects Using Fuzzy Logic Method Based on Image Processing

Intelligent humans who constantly enhance their abilities to facilitate their activities. One of the rapidly developing technologies is image processing. Image processing can be used to detect the freshness level of common carp fish through the eye object. The classification of the freshness level of common carp fish is usually done by humans visually. This study aims to detect the freshness level of common carp fish through the eye object using fuzzy logic based on image processing. The five conditions of fish used for classifying the freshness level of common carp fish are live fish condition, fish dead ±6 hours, fish dead ± 12 hours, fish dead ± 18± hours, and fish dead ± 24 hours. The common carp fish is placed inside a mini studio box and captured using a 48 MP smartphone camera. The images of the common carp fish are processed to obtain RGB and HSV values. The Mamdani fuzzy logic system uses the RGB and HSV values to determine the domain of each set in the fuzzy logic membership function. Based on the conducted tests, it can be concluded that the Mamdani fuzzy logic method can be used to detect the freshness level of common carp fish based on the composition of RGB and HSV colors with an accuracy of 81.82%.