Determination of Beef Marbling Based on Fat Percentage for Meat Quality
DOI:
https://doi.org/10.61841/q45mja92Keywords:
Meat, Extraction Features, FatAbstract
Animal protein needed in sustaining the fulfillment of community nutrition for the development of human resources in Indonesia, one of which is found in beef. Specific characteristics of healthy beef are bright red, shiny, not pale, elastic, non-sticky and "typical" flavored. The specific sensory nature of meat can determine the acceptability of consumers. In order for the community to be able to recognize good quality meat, this study analyzed meat marbling based on fat area and size. The stages in this research were first done by image processing, then image segmentation to get the RGB value and fat area calculation.
Downloads
References
[1] Badan Pusat Statistik (2018) Kajian Konsumsi Bahan Pokok 2017. Jakarta.
[2] Badan Standardisasi Nasional (2008) Mutu Karkas dan Daging Sapi.
[3] Chang, R. et al. (2011) ‘The Judgment of Beef Marble Texture Based on the MATLAB Image Processing Technology’, International Federation for Information Processing, pp. 106–112.
[4] Du, C. et al. (2008) ‘Development of a hybrid image processing algorithm for automatic evaluation of intramuscular fat content in beef M . longissimus dorsi’, 80, pp. 1231–1237. doi:10.1016/j.meatsci.2008.05.036.
[5] Jackman, P., Sun, D. and Allen, P. (2010) ‘Prediction of beef palatability from colour , marbling and surface texture features of longissimus dorsi’, Journal of Food Engineering. Elsevier Ltd, 96(1), pp. 151–165. doi:10.1016/j.jfoodeng.2009.07.006.
[6] Kementerian Pendidikan dan Kebudayaan (2016) KAMUS BAHASA INDONESIA. Edisi Keli. Jakarta: Pusat Bahasa.
[7] Kesehatan, L. P. B. P. dan P. (2018) LAPORAN NASIONAL RISKESDAS 2018. Jakarta. Available at: http://labdata.litbang.depkes.go.id/riset-badan-litbangkes/menu-riskesnas/menu-riskesdas/426-rkd-2018.
[8] Meng, X. et al. (2014) ‘Evaluation of Beef Marbling Grade Based on Advanced Watershed Algorithm and Neural Network College of Electronic Information Engineering , Xi ’ an Technological University , 710032 , China College of Biological and Agricultural Engineering , Jilin Univers’, 6(2), pp. 206–211. doi:10.19026/ajfst.6.11.
[9] Pang, B. et al. (2013) ‘GRADING OF BEEF MARBLING BASED ON IMAGE PROCESSING AND SUPPORT VECTOR MACHINE’, 17(3), pp. 87–92.
[10] Widiyanto, S. et al. (2017) ‘Fat Content , Color and Texture Features for Fresh Meat Evaluation from Digital Image’, pp. 255–259.
[11] Widiyanto, S. et al. (2018) ‘Texture Feature Extraction Based On GLCM and DWT for Beef Tenderness Classification’, 2018 Third International Conference on Informatics and Computing (ICIC). IEEE, pp. 1–4.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.