Program Studi Teknik Komputer, Fakultas Teknik, Universitas Diponegoro, Indonesia
BibTex Citation Data :
@article{JKT24528, author = {Erwin Adriono and Novita Auliya and Risma Septiana}, title = {Estimasi Pengukuran Panjang Udang Litopenaeus Vannamei Menggunakan Algoritma Yolov8 Dan Perhitungan Jarak Euclidean}, journal = {Jurnal Kelautan Tropis}, volume = {27}, number = {3}, year = {2024}, keywords = {Image Processing; YOLOv8; Litopenaeus Vannamei; Shrimp Length}, abstract = { Cultivation of Litopenaeus vannamei shrimp is an important fishery commodity in Indonesia. Providing the right amount of feed is crucial for optimal shrimp growth. The amount of feed given greatly depends on the measurement of shrimp length. The aim of this research is to develop an image processing-based program for measuring the length of Litopenaeus vannamei shrimp using the YOLOv8 algorithm through Euclidean distance calculation. YOLOv8 detects shrimp objects within a defined distance. The obtained images are used to estimate the length using Euclidean distance calculation. The results show that this program can detect and measure shrimp length with an accuracy of 96.8%. Based on the detected shrimp length, the program can calculate the Mean Body Weight (MBW) and Feeding Ratio (FR) with an average error below 5%. Budidaya udang Litopenaeus Vannamei merupakan komoditas perikanan yang penting di Indonesia. Pemberian pakan yang tepat jumlah sangat penting untuk pertumbuhan udang yang optimal. Jumlah pemberian pakan sangat bergantung pada pengukuran panjang udang. Tujuan penelitian ini adalah mengembangkan sebuah program berbasis pengolahan citra panjang udang Litopenaeus Vannamei dengan algoritma YOLOv8 melalui perhitungan jarak euclidean. YOLOv8 melakukan deteksi terhadap objek udang yang sudah dibatasi jarak. Gambar yang diperoleh akan dihitung estimasi panjangnya menggunakan perhitungan jarak euclidean. Hasil penelitian menunjukkan program ini dapat mendeteksi dan mengukur panjang udang dengan akurasi 96,8%. Berdasarkan panjang udang yang terdeteksi, program dapat menghitung nilai MBW (Mean Body Weight) dan FR (Feeding Ratio) dengan error rata-rata di bawah 5%. }, issn = {2528-3111}, pages = {408--414} doi = {10.14710/jkt.v27i3.24528}, url = {https://ejournal2.undip.ac.id/index.php/jkt/article/view/24528} }
Refworks Citation Data :
Cultivation of Litopenaeus vannamei shrimp is an important fishery commodity in Indonesia. Providing the right amount of feed is crucial for optimal shrimp growth. The amount of feed given greatly depends on the measurement of shrimp length. The aim of this research is to develop an image processing-based program for measuring the length of Litopenaeus vannamei shrimp using the YOLOv8 algorithm through Euclidean distance calculation. YOLOv8 detects shrimp objects within a defined distance. The obtained images are used to estimate the length using Euclidean distance calculation. The results show that this program can detect and measure shrimp length with an accuracy of 96.8%. Based on the detected shrimp length, the program can calculate the Mean Body Weight (MBW) and Feeding Ratio (FR) with an average error below 5%.
Budidaya udang Litopenaeus Vannamei merupakan komoditas perikanan yang penting di Indonesia. Pemberian pakan yang tepat jumlah sangat penting untuk pertumbuhan udang yang optimal. Jumlah pemberian pakan sangat bergantung pada pengukuran panjang udang. Tujuan penelitian ini adalah mengembangkan sebuah program berbasis pengolahan citra panjang udang Litopenaeus Vannamei dengan algoritma YOLOv8 melalui perhitungan jarak euclidean. YOLOv8 melakukan deteksi terhadap objek udang yang sudah dibatasi jarak. Gambar yang diperoleh akan dihitung estimasi panjangnya menggunakan perhitungan jarak euclidean. Hasil penelitian menunjukkan program ini dapat mendeteksi dan mengukur panjang udang dengan akurasi 96,8%. Berdasarkan panjang udang yang terdeteksi, program dapat menghitung nilai MBW (Mean Body Weight) dan FR (Feeding Ratio) dengan error rata-rata di bawah 5%.
Article Metrics:
Last update:
Upon acceptance for publication, authors agree to transfer the copyright of their article to Jurnal Kelautan Tropis, while retaining the right to reuse their work under the terms of the open license applied.
From the date of publication, the copyright for each article is held by Jurnal Kelautan Tropis. This transfer allows the journal to manage, disseminate, and preserve scholarly content in accordance with international standards and open access best practices.
Although copyright is held by the journal, all published articles are made available under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Under this license, anyone may:
Copy and redistribute the material in any medium or format
Remix, transform, and build upon the material for any purpose, even commercially
provided that:
Appropriate credit is given to the original author(s) and the source
Indications are made of any changes that were made
Derivative works are distributed under the same license (CC BY-SA 4.0)
While copyright is held by the journal, authors retain important reuse rights. Authors may:
Reuse the published version of their article in future works, including books, compilations, and lectures
Deposit the published version in institutional or subject repositories
Share the article freely, including on personal websites or academic networks
as long as the original publication in Jurnal Kelautan Tropis is cited and the CC BY-SA 4.0 license terms are respected.
Authors must ensure that any third-party content included in the article (e.g., figures, images, datasets) is either original, in the public domain, or licensed for reuse under compatible terms. If specific permissions are required, authors must obtain them prior to submission.
For questions regarding copyright or licensing, please contact the editorial office at: j.kelautantropis@gmail.com
View My Stats
Jurnal Kelautan Tropis is published by Departement of Marine Science, Faculty of Fisheries and Marine Science, Universitas Diponegoro under a Creative Commons Attribution-ShareAlike 4.0 International License.
