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All Journal Sinov : Media Informasi Penelitian Kabupaten Semarang
Vica Ardani
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Daya Dukung dan Rantai Pasok Pakan Berserat pada Musim Kemarau di Pasar Hewan Ambarawa Kabupaten Semarang Vica Ardani; Aditia Dwi Mulyono; Nur Heni; Yuni Nurtyas
Media Informasi Penelitian Kabupaten Semarang Vol. 7 No. 2 (2025): Desember: Media Informasi Penelitian Kabupaten Semarang
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/sinov.v7i1.866

Abstract

The growing demand for animal-based products, especially ruminant meat, requires efficient feed management and a sustainable supply of feed resources in terms of quality, quantity, and continuity to meet meat production needs. This study aimed to determine the moisture and dry matter contents of fibrous feed materials, estimate the carrying capacity of available fiber feed resources, and evaluate the profitability of fiber feed marketing at the Ambarawa Livestock Market. A case study approach was used in this research. The study location was selected purposively, and respondents were determined using a census method, involving 12 feed traders. Data were collected through field observations, structured interviews, and laboratory analyses of feed samples. The results showed that the average dry matter (DM) and moisture content (MC) of grasses sold in the market were 50.30% and 49.70%, respectively. The total feed carrying capacity was 841 animal units (AU), equivalent to 1.43% of the total cattle population in Semarang Regency. The revenue-to-cost (R/C) ratio of 4.56 indicated that the fiber feed marketing activity at the Ambarawa Livestock Market was profitable and economically feasible.
Model Kemitraan Gaduhan Usaha Sapi Potong Rakyat dan Dampaknya terhadap Pendapatan Peternak di Kabupaten Semarang Tedy Agus Permana; Aditia Dwi Mulyono; Vica Ardani; Yulita Rahmawati
Media Informasi Penelitian Kabupaten Semarang Vol. 8 No. 1 (2026): Juli: Sinov: Media Informasi Penelitian Kabupaten Semarang
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/sinov.v8i1.900

Abstract

Semarang Regency, one of the regions in Central Java, Indonesia, possesses considerable potential for the development of smallholder beef cattle farming. One strategy to support the growth of this sector is through partnership arrangements, particularly the gaduhan (cattle-sharing) system, which is widely practiced among smallholder farmers. This study aimed to analyze the gaduhan partnership model in smallholder beef cattle farming and its impact on farmers’ income in Semarang Regency. The research was conducted in August 2025 in Banyubiru and Pabelan Districts using a purposive sampling method involving 30 beef cattle farmers. Data were analyzed using multiple linear regression, with farm scale, farming experience, gaduhan partnership system, production costs, and livestock productivity as independent variables, and farmers’ income as the dependent variable. The results revealed that all independent variables jointly had a significant effect on farmers’ income, as indicated by an F-value of 132.412 and a significance level of 0.000. Partially, farm scale, the gaduhan partnership system, production costs, and livestock productivity significantly affected farmers’ income, whereas farming experience had no significant effect. The coefficient of determination (R²) was 0.883, indicating that 88.3% of the variation in farmers’ income could be explained by the model. The gaduhan partnership model in smallholder beef cattle farming in Semarang Regency is characterized by the influence of farm scale, farming experience, partnership arrangements, production costs, and livestock productivity on farmers’ income. The average income generated under the gaduhan partnership system was IDR 11,400,000, with a profit-sharing ratio of 60:40 between the livestock owner and the farmer.
Co-Authors Aditia Dwi Mulyono Nur Heni Tedy Agus Permana Yulita Rahmawati Yuni Nurtyas