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All Journal METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOINTER : Journal of Informatics Engineering
Ni Made Sri Ulandari
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Journal : JOINTER : Journal of Informatics Engineering

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Klasifikasi Kesegaran Ikan Menggunakan Citra Mata dengan Convolutional Neural Network Arsitektur VGG-16 Ni Made Sri Ulandari; Resti Ajeng Sutiani; Rizal Adi Saputra
JOINTER : Journal of Informatics Engineering Vol 5 No 02 (2024): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v5i02.350

Abstract

Sea fish are the most widely consumed type of fish by households in Indonesia, serving as an important source of protein for the body. According to Matondang's (2022) study titled "Comparison of Protein Content in Freshwater Fish and Sea Fish," the protein content in sea fish is higher than in freshwater fish, making high-quality fish highly beneficial for the body. The fishing industry plays a crucial role in food supply, especially in maritime countries like Indonesia. The freshness of sea fish, as the main protein source for many households, significantly determines its quality and safety for consumption. Freshness affects nutritional value, taste, and prevents health risks from consuming stale fish. This study employs the Convolutional Neural Network (CNN) method with the VGG-16 architecture to classify fish freshness based on eye images. The dataset used consists of 1,903 fish eye images, augmented to 4,560 images. Classification results indicate that the VGG-16 model can distinguish between fresh and stale fish eyes with an accuracy of 85.26%. This research is expected to assist the fishing industry in monitoring fish quality more effectively and efficiently, as well as enhancing the safety of fish consumption for the community.
Co-Authors Resti Ajeng Sutiani Rizal Adi Saputra Sri Ayu Ningsih