R. Wati
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Faktor – Faktor yang Mempengaruhi Pendapatan Peternak Ayam Ras Petelur Di Kecamatan Lareh Sago Halaban Kabupaten Lima 50 Kota

Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 13, No 3 (2011): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

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Abstract

The research was conducted in the District 50 Kota because this District is one of the central City broiler production in the province of West Sumatra. The objective of this research was to determine factors - factors that influence income layer poultry farmer in sub District lareh Sago Halaban and contribution of layer poultry farms to household incomes laying chicken farmers. The method used in this study was a survey method. The population were laying chicken farmers in the sub District lareh Sago Halaban. Sampling was done by census method and respondents number was 56 people. To see the effect of economic and non-economic factors on household income laying chicken farmers in sub District lareh Sago Halaban used regression equations and the contribution of laying chicken farms to income quantitatively analyzed. The results showed that the average revenue per production period was Rp. 674.672,235,01. The results of the model prediction variables that significantly affect the revenue is the economic variable is the cost of seedlings, drug costs and the cost of transportation, while the non-economic variables are not affected significantly in laying chicken farm business in the sub District lareh Sago Halaban this. Laying chicken farm business in the District lareh Sago Halaban contributed 94,02% to the income of farming households and the remaining 5,98% from other revenue sources.

Analisis Potensi Sumber Daya Manusia Untuk Pengembangan Usaha Peternakan Sapi Potong Di Kabupaten Pesisir Selatan

Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 15, No 1 (2013): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

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Abstract

This study aims to: (1). determined the potential of human resources (Breeders) for the development of beef cattle; (2). calculating employment opportunities based on the elasticity of employment. This research was conducted in Pesisir Selatan Regency, West Sumatra Province. The data was collected using a survey method. The population of this study were 99 RTP. The sampling method used simple random sampling technique. Analysis of the data used  the qualitative and quantitative analysis deskriptif. The results showed that farmers in particular human resources in this area was not sufficient to develop their business in a better direction, it was seen from education and working hours for the beef cattle business in which 62.9% of farmers did not finish his formal education as well as technical knowledge still low despite having an average breeding experience of over 10 years. Time that the need to maintain a single head of cattle per day was 0.75 hours / cow / day or equal to 0.0938 HOK. Employment elasticity of 0.24. That was, if the Pesisir Selatan Regency GDP increased by one percent, there will be job creation livestock sector by 0.24 percent.

Analisis Faktor-faktor Produksi pada Peternakan Sapi Perah Ompie Farm di Kabupaten Tanah Datar

Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 13, No 1 (2011): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

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Abstract

The research purpose was analyzed the utilization of production factors in dairy cow farming in economies of scale at Ompie dairy cow farming in Tanjung Bonai village, North of Lintau Buo subdistrict, Tanah Datar regency. The samples were 18 lactating dairy cows. Data obtained through case study by observing and calculated the consumption of grass and concentrate as well as the lactating month and the cow’s weight directly, and interviewed Farm’s caretaker. Production factors estimated by using ordinary least square by using SPSS 17. Result shown, production function Y= 0,0012 H1,671K0,405M-0,187W0,119 was obtained. R Square test determination, coefficient (R2) was 0.721, which was means 71,2% of production variation can be explained through green food variable, concentrate, month of lactation, and different cows’ weight. The F test showed that overall, independent variables has significant impact on milk production (P<0,01). The t test result showed that green foods variable and month of lactation has real impacts on level of trust 99% while concentrate and cow’s weight did not have significant impact. This farm is experiencing increasing return to scale which means increasing the amount of input will generate additional output with bigger proportion. We can observe this on Σbi value of 2,076.