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Zulfaqar
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LITERATURE REVIEW METODE PENGOLAHAN CITRA PADA UDANG DAN IKAN: LITERATURE REVIEW METODE PENGOLAHAN CITRA PADA UDANG DAN IKAN zul, zulfaqar; Ananda; Memen Akbar
ABEC Indonesia Vol. 11 (2023): 11th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Information technology has indeed brought great changes in human life. Shrimp is one of the main products of aquaculture in Indonesia and is also an export product to various countries, namely the United States, the European Union, Japan, and several countries in the Asian region, shrimp commodity exports that provide foreign exchange for the country are in the form of frozen shrimp, fresh shrimp. Body weight and length are important biological indicators and specifications in the growth and maturity of shrimp. In calculating shrimp body weight and length, this study will discuss a comparison of several methods, image retrieval, and results from each researcher. From these articles is that image processing and Machine Learning / Deep Learning techniques are used effectively to detect, measure, and classify various aspects of shrimp and fish in underwater environments. Some methods managed to achieve high accuracy in these tasks, but challenges remain such as the effects of background noise and variations in the water environment.
A Pengukuran Data Sampel Berat dan Panjang Udang Vaname (Litopenaeus vannamei) Berbasis Citra Digital Menggunakan Metode ChessBoard: Uji homogenitas pada data sampel udang Zulfaqar; Ananda; Syarif SS, Dadang; Akbar, Memen
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6473

Abstract

Vaname shrimp (Litopenaeus vannamei) cultivation is a prominent aquaculture activity in Indonesia. This study introduces a digital image-based method for measuring shrimp weight and length, enhancing the traditional anco technique. The Chessboard distance method was employed to accurately measure curved objects like shrimp bodies. A homogeneity test assessed whether manual measurement data and pixel-based data for weight and length shared similar variation distributions. For shrimp weight, the F-test yielded a value of 0.000000028, significantly smaller than the critical F value of 0.817796464 at a 5% alpha level, indicating no significant difference in variation between the variables. Similarly, shrimp length data produced an F value of 0.0001174, also below the critical value of 0.8175241. These results confirm that both variables—weight and length—show no significant variation differences between manual and pixel-based methods. The findings validate the digital image-based approach as a reliable method for predicting shrimp size, offering an accurate and efficient alternative for Vaname shrimp measurement.
Co-Authors Akbar, Memen Ananda memen akbar Syarif SS, Dadang