Determination of Beef Marbling Based on Fat Percentage for Meat Quality

Authors

  • Hanny Hikmayanti Handayani Teknik Informatika Universitas Buana Perjuangan Karawang Author
  • Anis Fitri Nur Masruriyah Teknik Informatika Universitas Buana Perjuangan Karawang Author

DOI:

https://doi.org/10.61841/q45mja92

Keywords:

Meat, Extraction Features, Fat

Abstract

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

Download data is not yet available.

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

29.02.2020

How to Cite

Hikmayanti Handayani, H., & Fitri Nur Masruriyah, A. (2020). Determination of Beef Marbling Based on Fat Percentage for Meat Quality. International Journal of Psychosocial Rehabilitation, 24(1), 8394-8401. https://doi.org/10.61841/q45mja92