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Implementation of Citra Technology to Identify the Freshness of Shrimp for Consumption
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 48 |
| Year of Publication: 2023 |
| Authors: Aris Prayogo, Enny Itje Sela |
10.5120/ijca2023923309
|
Aris Prayogo, Enny Itje Sela . Implementation of Citra Technology to Identify the Freshness of Shrimp for Consumption. International Journal of Computer Applications. 185, 48 ( Dec 2023), 17-23. DOI=10.5120/ijca2023923309
Abstract
The increasing market demand for shrimp makes many parties take advantage of this condition by selling shrimp that are not suitable for consumption such as rotten shrimp, diseased shrimp and formalin. To ensure the quality of shrimp received by consumers, it is necessary to test the freshness, so far the tests carried out through microbiological and chemical analysis but in this way it is less effective because it takes longer time, requires a lot of labor, requires a fairly expensive cost, so it affects the production of shrimp. The method used in this research is Convolutional Neural Network (CNN) which is done through classification with a preprocessing stage consisting of rescale, rotation range, horizontal flip, shear range, fill mode, width shift range, height shift range and zoom range. This classification stage produces shrimp freshness output which is divided into 3 categories. System development with the convolutional neural network method gets the best accuracy of 99.39% by using a learning rate of 0.001 and max epoch 100 with the results of the classification of the three classes with the tested Citra is correct..
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