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All Journal Jurnal Aplikasi Teknologi Pangan ANGON: Journal of Animal Science and Technology

Hermawan Setyo Widodo

Fakultas Peternakan, Universitas Jenderal Soedirman, Purwokerto

Author-ID : 3637246

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Environmental Science Immunology & microbiology

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KORELASI ANTARA BOBOT BADAN DENGAN LINGKAR DADA KAMBING KEJOBONG DI KTT NGUDI DADI PURBALINGGA Dewi Puspita Candrasari; Agus Susanto; Setya Agus Santosa; Dattadewi Purwantini; Hermawan Setyo Widodo; Chomsiatun Nurul Hidayah
ANGON: Journal of Animal Science and Technology Vol 4 No 3 (2022): JURNAL ANGON
Publisher : Fakultas Peternakan Universitas Jenderal Soedirman

Background. Local goats are widely cultivated in Indonesia, especially in Kejobong, Purbalingga. Local farmers usually determine the price of livestock from body weight. To make it easier, it can be done by measuring the chest circumference, which is quite accurate compared to the results of the scales. The purpose of the study was to estimate the body weight (BW) of Kejobong goats using chest circumference (LD) measurements. The purpose of this study was to estimate the body weight (BB) of Kejobong goats using chest circumference (LD). The materials used were 38 female Kejobong goats aged 3-12 months and 51 heads >12-30 months. Samples were taken using purposive random sampling. The variables observed were the BB and LD of female Kejobong goats. The calculation results show a correlation (r) in the age group 3-12 months of 0.984, in the age group >12-30 months the correlation is 0.691 and in all age groups of 0.942. The results of the correlation between LD and BB obtained a linear regression equation for female Kejobong goats aged 3-12 months Y= -21.433+0.6552x, in the age group >12-48 months Y= -21.916+0.735x and in all age groups Y= -28.802+0.812x. The linear regression equation can be used to estimate the body weight of female Kejobong goats at all ages.

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

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

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 Afduha Nurus Syamsi Agus Susanto Ali Agus Chomsiatun Nurul Hidayah Danang Nur Cahyo Dattadewi Purwantini Dewi Puspita Candrasari Jodi Susanto Krismiwati Muatip Merryafinola Ifani Setya Agus Santosa Tridjoko Wisnu Murti Widodo Widodo Yusuf Subagyo

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