skip to main content

THE INFLUENCE OF AGRIBUSINESS SUBSYSTEM ON BEEF CATTLE FATTENING FARM’S PROFIT IN CENTRAL JAVA

*E. Prasetyo  -  Faculty of Animal Agriculture, Diponegoro University,, Indonesia
S. Sunarso  -  Faculty of Animal Agriculture, Diponegoro University,, Indonesia
P.B. Santosa  -  Faculty of Economics and Business, Diponegoro University,, Indonesia
E. Rianto  -  Faculty of Animal Agriculture, Diponegoro University,, Indonesia

Citation Format:
Abstract
This study was aimed : (i) to know the subsystem implementation and agribusiness planning inbeef cattle fattening; (ii) to count the profit of beef cattle farming; (iii) to analyze the effect ofagribusiness subsystem implementation and agribusiness planning to beef cattle fattening profit. Thisstudy was carried out using survey method and the elementary units were feedlot farmers. The samplewas determined by Purposive Quota Sampling Method on 112 respondents spread across five regencies,namely Blora, Rembang, Grobogan, Wonogiri, and Boyolali. Data were collected from primary andsecondary sources. The data analysis used quantitative descriptive and inferential statistics method,which include scoring, financial, and multiple linear regression analysis. The results showed that : (i) theimplementation of agribusiness subsystem (including preproduction subsystem, marketing, andagribusiness support services) and agribusiness planning were not so good category, while the cattlefarming subsystem was moderate category; (ii) the average of farming scale in each feedlot farmer was2.95 head of cattle with the profit rate was IDR 1,044,719 per fattening period during 6.68 months(equivalent to IDR 156,395 per month); (iii) agribusiness subsystem and agribusiness planning hadsignificant impact on feedlot farmer profit simultaneously, but preproduction subsystem and theagribusiness support services subsystem partially had a significant impact on feedlot farmer profit.
Fulltext View|Download
Keywords: agribusiness subsystems. beef cattle. fattening. profit

Article Metrics:

Last update:

  1. Beef value chain analysis and climate change adaptation and investment options in the semi-arid lands of northern Kenya

    S. Wagura Ndiritu. Journal of Arid Environments, 181 , 2020. doi: 10.1016/j.jaridenv.2020.104216
  2. The Function of Credit Scheme to Improve Family Income among Beef Cattle Farmers in Central Java Province

    E. Prasetyo, T. Ekowati, W. Roessali, S. Gayatri. IOP Conference Series: Earth and Environmental Science, 119 , 2018. doi: 10.1088/1755-1315/119/1/012059

Last update: 2024-12-05 07:24:37

  1. Contribution to income of traditional beef cattle farmer households in Tanah Laut Regency, South Kalimantan, Indonesia

    Hartono B.. Livestock Research for Rural Development, 26 (8), 2014.
  2. Broiler livestock business based on partnership cooperation in indonesia: The assessment of opportunities and business developments

    Amam . International Journal of Entrepreneurship, 23 (1), 2019.
  3. Competitiveness of Indonesian beef trading in Asean

    Sutawi S.. Journal of the Indonesian Tropical Animal Agriculture, 44 (2), 2019. doi: 10.14710/jitaa.44.2.213-219
  4. Factors affecting profit analysis of beef cattle farming in East Java, Indonesia

    Kalangia L.. Livestock Research for Rural Development, 28 (12), 2016.
  5. Profit analysis of pig farming in rural comunities in Minahasa Regency of North Sulawesi

    Santa N.M.. Journal of the Indonesian Tropical Animal Agriculture, 43 (3), 2018. doi: 10.14710/jitaa.43.3.289-295
  6. The profitability analysis of dairy cattle business on the group of dairy farmers in West Ungaran District Semarang Regency

    Dolewikou R.L.. Journal of the Indonesian Tropical Animal Agriculture, 41 (4), 2016. doi: 10.14710/jitaa.41.4.216-223
  7. The influence of 5-C factors on rate of credit return in beef cattle farming in Central Java

    Prasetyo E.. Journal of the Indonesian Tropical Animal Agriculture, 37 (3), 2012. doi: 10.14710/jitaa.37.3.213-219
  8. An income analysis of beef cattle fattening system and its contribution to the total household income in Central Java Province

    Prasetyo E.. Journal of the Indonesian Tropical Animal Agriculture, 45 (4), 2020. doi: 10.14710/jitaa.45.4.365-372
  9. Beef value chain analysis and climate change adaptation and investment options in the semi-arid lands of northern Kenya

    S. Wagura Ndiritu. Journal of Arid Environments, 181 , 2020. doi: 10.1016/j.jaridenv.2020.104216
  10. The Function of Credit Scheme to Improve Family Income among Beef Cattle Farmers in Central Java Province

    E. Prasetyo, T. Ekowati, W. Roessali, S. Gayatri. IOP Conference Series: Earth and Environmental Science, 119 , 2018. doi: 10.1088/1755-1315/119/1/012059
  11. Contribution of local beef cattle production on farmer's income in the dryland farming of Kupang Regency, Indonesia

    Kapa M.. IOP Conference Series: Earth and Environmental Science, 122 (1), 2018. doi: 10.1088/1755-1315/122/1/012118
  12. The Power of Resources in Independent Livestock Farming Business in Malang District, Indonesia

    Amam A.. IOP Conference Series: Earth and Environmental Science, 127 (1), 2019. doi: 10.1088/1755-1315/372/1/012055