PERHITUNGAN KOLONI BAKTERI SUSU SEGAR PADA RUANG WARNA YCBCR
Abstract
The problem with fresh milk on the SPR farm is the manual milking process, which causes the milk to be less hygienic and becomes an ideal growing medium for microbes. Therefore, it is necessary to carry out a procedure for checking the microbiological status as an indicator of food safety. To test for microbial contamination in fresh milk, namely the Total Plate Count (TPC) test, but in this study the focus is on the calculation of bacterial colonies using digital image processing techniques. The stages of the research carried out are the preprocessing process (cropping and color conversion to YCbCr space), image enhancement (addition of brightness and inverse image), the segmentation combination process (gray degree and channel area thresholding) and colony calculation using labeling based on the proximity of 8 neighbors to the feature area. From the results of the study, it was found that bacterial colonies had a wide area range of 150 ≤ area ≤ 8000. A comparison of manual TPC calculations with the system has been carried out on 5 test samples and obtained an average error difference of 0.176.
Keywords : channel area thresholding, bacterial colonies, fresh milk, TPC, YCbCr
Full Text:
PDFReferences
S. T. Soekarto, Teknologi Hasil Ternak, 1st ed. Bogor: PT. Penerbit IPB Press, 2020. Accessed: Dec. 22, 2021. [Online]. Available: https://www.google.co.id/books/edition/Teknologi_Hasil_Ternak/W00IEAAAQBAJ?hl=en&gbpv=1&dq=hasil+olahan+susu&pg=PA198&printsec=frontcover
S. Nurtini and M. Anggriani, Profil Peternakan Sapi Perah Rakyat di Indonesia, 2nd ed. Yogyakarta: UGM PRESS, 2018.
A. Ako, Ilmu Ternak Perah Daerah Tropis, 3rd ed. Bogor: PT Penerbit IPB Press, 2015.
L. Arjadi, Nuswantoro, and D. W. Harjanti, “Evaluasi Cemaran Bakteri Susu yang Ditinjau Melalui Rantai Distribusi Susu dari Peternak hingga KUD Di Kabupaten Boyolali,” MEDIAGRO, vol. 13, no. 1, pp. 1–10, 2017.
O. L. Handika, V. Wanniatie, P. E. Santosa, and A. Qisthon, “Status Mikrobiologi (Total Plate Count dan Staphylococcus aureus) Susu Sapi Perah Di Kabupaten Tanggamus Provinsi Lampung,” Jurnal Riset dan Inovasi Peternakan, vol. 4, no. 3, pp. 197–204, Dec. 2020, doi: 10.23960//jrip.2020.4.3.197-204.
N. S. Anindita and D. S. Soyi, “Studi kasus: Pengawasan Kualitas Pangan Hewani melalui Pengujian Kualitas Susu Sapi yang Beredar di Kota Yogyakarta,” Jurnal Peternakan Indonesia, vol. 19, no. 2, pp. 96–105, Jun. 2017.
SNI 2897, “Metode pengujian cemaran mikroba dalam daging, telur dan susu, serta hasil olahannya,” 2008.
SNI 7388, “Batas Maksimum Cemaran Mikroba dalam Pangan,” 2009.
Ihsan, Rahmadwati, and H. Tolle, “Klasifikasi Dan Identifikasi Jumlah Koloni Pada Citra Bakteri Dengan Metode K-Nearest Neighbor,” MATICS, vol. 8, no. 2, p. 76, Sep. 2016, doi: 10.18860/mat.v8i2.3723.
D. Pradana, P. Prima Arhandi, and A. T. Firdausi, “Aplikasi Penghitung Koloni Bakteri Berbasis Android,” Jurnal Informatika Polinema (JIP), pp. 23–31, 2019.
Satriyo, Suheri, and P. Yugianus, “Identifikasi dan Penghitungan Koloni Bakteri menggunakan Ektraksi Fitur,” Jurnal Vokasi, vol. 14, no. 2, pp. 54–57, Dec. 2019.
P. Destarianto, A. N. Noviana, Z. E. Fitri, and A. M. N. Imron, “Detection of Essential Thrombocythemia based on Platelet Count using Channel Area Thresholding,” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 6, no. 1, pp. 9–15, Jan. 2022, doi: 10.29207/resti.v6i1.3571.
R. Y. Wati, “Pengaruh Pemanasan Media PCA Berulang Terhadap Uji TPC di Laboratorium Mikrobiologi Teknologi Hasil Pertanian Unand,” Jurnal TEMAPELA, vol. 1, no. 2, pp. 44–47, 2018, doi: 10.25077/temapela.1.2.44-47.2018.
Z. E. Fitri, I. K. E. Purnama, E. Pramunanto, and M. H. Purnomo, “A comparison of platelets classification from digitalization microscopic peripheral blood smear,” 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding, vol. 2017-Janua, pp. 356–361, 2017, doi: 10.1109/ISITIA.2017.8124109.
S. K. B. Sangeetha, S. K. Mathivanan, T. Pandi, K. A. Selvan, P. Jayagopal, and G. T. Dalu, “An Enhanced Triadic Color Scheme for Content-Based Image Retrieval,” Mathematical Problems in Engineering, vol. 2022, pp. 1–6, 2022, doi: 10.1155/2022/5736630.
P. Nabilla, Muh. F. Saputra, and R. A. Saputra, “Perbandingan Ruang Warna RGB, HSV dan YCBCR untuk Segmentasi Citra Ikan Kembung Menggunakan K-means Clustering,” Jurnal Mahasiswa Teknik Informatika (JATI), vol. 6, no. 2, pp. 476–481, 2022.
I. D. Ananto and Murinto, “Aplikasi Pengolahan Citra Mendeteksi Kualitas Cabai Berdasarkan Tingkat Kematangan Menggunakan Transformasi Warna YCbCr,” Jurnal Sarjana Teknik Informatika, vol. 3, no. 1, pp. 283–293, 2015.
Z. E. Fitri, L. N. Sahenda, P. S. D. Puspitasari, P. Destarianto, D. L. Rukmi, and A. M. N. Imron, “The Classification of Acute Respiratory Infection ( ARI ) Bacteria Based on K-Nearest Neighbor,” Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, vol. 12, no. 2, pp. 91–101, 2021.
Z. E. Fitri, A. Baskara, A. Madjid, and A. M. N. Imron, “Comparison of Classification for Grading Red Dragon Fruit (Hylocereus Costaricensis),” Jurnal Nasional Teknik Elektro, vol. 11, no. 1, pp. 43–49, 2022, doi: 10.25077/jnte.v11n1.899.2022.
Y. D. Safrida, Raihanaton, and Ananda, “Uji Cemaran Mikroba Dalam Susu Kedelai Tanpa Merek Di Kecamatan Jaya Baru Kota Banda Aceh Secara Total Plate Count (TPC),” Serambi Engineering, vol. 4, no. 1, p. 364, 2019.
DOI: https://doi.org/10.21107/nero.v8i2.19094
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Zilvanhisna Emka Fitri, Lalitya Nindita Sahenda, Dyah Laksito Rukmi