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All Journal ANGON: Journal of Animal Science and Technology
Afduha Nurus Syamsi
Fakultas Peternakan, Universitas Jenderal Soedirman, Purwokerto
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Environmental Science Immunology & microbiology

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KAJIAN METODE TITRASI FORMOL DALAM PENGUKURAN PROTEIN SUSU SEGAR MELALUI VALIDASI METODE ANALISIS (VMA) Hermawan Setyo Widodo; Jodi Susanto; Yusuf Subagyo; Afduha Nurus Syamsi; Merryafinola Ifani
ANGON: Journal of Animal Science and Technology Vol 4 No 3 (2022): JURNAL ANGON
Publisher : Fakultas Peternakan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.28 KB) | DOI: 10.20884/1.angon.2022.4.3.p303-309

Abstract

Background. This research was conducted to determine the feasibility of the formol titration method in measuring protein content in fresh milk. Material and method. The material used in this study was a sample of fresh cow's milk. Standard milk was prepared by adding hydrolyzed casein to obtain protein content of 10%, 8%, 6%, 4% and 2%. Each standard was triplicate tested to obtain LOD, LOQ, accuracy and precision calculations. The data obtained is then presented descriptively. Results. The results obtained show that the formol titration method achieves an LOD value of 2.12%, LOQ of 6.41%, an accuracy rate of 145.56% and a precision of 2;4;6;8;10% are 3.58;4.40;3.12;3.58;2.58%. The resulting linear curve has a regression equation Y=2.0228X – 2.785 with an R2 value of 0.957. Conclusion. It can be concluded that the measurement of milk protein using the formol titration method is quite good, but less accurate because it tends to be overquantify.
ANALISIS PERAMALAN PRODUKSI SUSU BERBAGAI TERNAK PERAH DI INDONESIA MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Danang Nur Cahyo; Krismiwati Muatip; Afduha Nurus Syamsi; Hermawan Setyo Widodo; Merryafinola Ifani
ANGON: Journal of Animal Science and Technology Vol 4 No 3 (2022): JURNAL ANGON
Publisher : Fakultas Peternakan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.709 KB) | DOI: 10.20884/1.angon.2022.4.3.p310-321

Abstract

metabolized by the human body. There are various dairy livestock spread around Indonesia specifically dairy cattle, dairy goats, buffalo, and sheep. This research aimed to forecast the milk production of various dairy livestock in Indonesia until 2028. The research method of this study was the secondary data method utilizing secondary data from the Food and Agriculture Organization (FAO) of the United Nation. Data used in this study was milk production of Indonesia from various dairy livestock in tonnes from 2012-2021. The Autoregressive integrated moving average (ARIMA) method was used to forecast milk production in Indonesia. The (p,d,q) value for the milk production forecast of dairy cattle, dairy goat, buffalo, and sheep were (1,1,1), (2,1,1), (0,0,1), and (1,1,1) respectively. Milk production for cows, goats and sheep is predicted to continue to increase until 2028, while buffalo milk production is predicted to decrease. Milk production from various dairy livestock besides dairy cattle has great potential to develop so as to create diversity in fulfilling the needs of dairy products in Indonesia.
Co-Authors Danang Nur Cahyo Ifani, Merryafinola Jodi Susanto Krismiwati Muatip Widodo, Hermawan Setyo Yusuf Subagyo