Determinants of Profitability in Smallholder Beef Cattle Farming: Evidence from Langkat Regency, Indonesia

Ruth Dameria Haloho; Suci Andanawari; Kiagus Muhammad Zain; Fauzul Azhimah; Widya Satya Nugraha; Tulus Fernando; Suriansyah -

doi:10.14710/agrisocionomics.v10i2.30316

DOI: https://doi.org/10.14710/agrisocionomics.v10i2.30316

Determinants of Profitability in Smallholder Beef Cattle Farming: Evidence from Langkat Regency, Indonesia

*Ruth Dameria Haloho

- Universitas Sulawesi Barat, Indonesia

Suci Andanawari - Politeknik Pembangunan Pertanian Yogyakarta, Indonesia

Kiagus Muhammad Zain - Universitas Samudra, Indonesia

Fauzul Azhimah - Universitas Quality Berastagi, Indonesia

Widya Satya Nugraha - Universitas Gadja Mada, Indonesia

Tulus Fernando - BRIN, Indonesia

Suriansyah - - Universitas Sulawesi Barat, Indonesia

under http://creativecommons.org/licenses/by-sa/4.0.

BibTex Citation Data :

@article{Agrisocionomics30316,
    author = {Ruth Haloho and Suci Andanawari and Kiagus Zain and Fauzul Azhimah and Widya Nugraha and Tulus Fernando and Suriansyah -},
    title = {Determinants of Profitability in Smallholder Beef Cattle Farming: Evidence from Langkat Regency, Indonesia},
    journal = {Agrisocionomics: Jurnal Sosial Ekonomi Pertanian},
  volume = {10},
    number = {2},
    year = {2026},
    keywords = {Production factors, profitability, economic growth, beef cattle farming.},
    abstract = { Beef cattle farming is one of the livestock sectors that plays an important role in food security and economic growth. This study aims to identify the production factors that affect the profitability of beef cattle farmers in Langkat Regency. The research method used was a survey, with multistage random sampling as the sampling technique. The respondents were 80 beef cattle farmers. Data collection methods included observation and direct interviews with the farmers. The statistical test used was multiple linear regression using SPSS. The results demonstrate that feed cost, artificial insemination (AI) cost, labour cost, and farmer age have a significant impact on farm profit. The results demonstrate that feed cost, artificial insemination (AI) cost, labour cost, and farmer age have a significant impact on farm profit. In part, feed cost, AI cost, labor cost, and farmer age all significantly affect profitability. Feed costs account for 54.46% of total production costs, followed by labor (41.11%) and AI (4.43%). The results indicate that the key cost items are determinants for beef cattle profitability. Furthermore, to the extent that older farmers tend to be less profitable, farmers’ age has a negative and significant effect on profitability. This association could be explained by higher resilience to change, lesser management adaptability, and limited digital proficiency, which themselves impair access to information and business opportunities through digital means. },
   issn = {2621-9778},   pages = {672--682}  doi = {10.14710/agrisocionomics.v10i2.30316},
    url = {https://ejournal2.undip.ac.id/index.php/agrisocionomics/article/view/30316}
}

Citation Format:

Abstract

Beef cattle farming is one of the livestock sectors that plays an important role in food security and economic growth. This study aims to identify the production factors that affect the profitability of beef cattle farmers in Langkat Regency. The research method used was a survey, with multistage random sampling as the sampling technique. The respondents were 80 beef cattle farmers. Data collection methods included observation and direct interviews with the farmers. The statistical test used was multiple linear regression using SPSS. The results demonstrate that feed cost, artificial insemination (AI) cost, labour cost, and farmer age have a significant impact on farm profit. The results demonstrate that feed cost, artificial insemination (AI) cost, labour cost, and farmer age have a significant impact on farm profit. In part, feed cost, AI cost, labor cost, and farmer age all significantly affect profitability. Feed costs account for 54.46% of total production costs, followed by labor (41.11%) and AI (4.43%). The results indicate that the key cost items are determinants for beef cattle profitability. Furthermore, to the extent that older farmers tend to be less profitable, farmers’ age has a negative and significant effect on profitability. This association could be explained by higher resilience to change, lesser management adaptability, and limited digital proficiency, which themselves impair access to information and business opportunities through digital means.

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Keywords: Production factors, profitability, economic growth, beef cattle farming.

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In Vol 10, No 2 (2026): June 2026

Apipoonyanon, C., Szabo, S., Tsusaka, T. W., Leeson, K., Gunawan, E., & Kuwornu, J. K. (2021). Socio-economic and environmental barriers to increased agricultural production: New evidence from central Thailand. Outlook on Agriculture, 50(2), 178-187
Achmad, F., Mulyo, J. H., Masyhuri, & Subejo. (2019). Factors Affecting Profit Analysis of Small-Scale Beef Cattle Farmers in the Special Region of Yogyakarta, Indonesia. American-Eurasian Journal of Sustainable Agriculture, 13(June), 1–12. https://doi.org/10.22587/aejsa.2019.13.2.1
Central Statistics Agency of Langkat Regency, Langkat Regency. https://langkatkab.bps.go.id/id/statistics-table/2/OTgjMg==/jumlah-ternak-besar.html
Chicco, D., Warrens, M. J., & Jurman, G. (2021). The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE, and RMSE in regression analysis evaluation. PeerJ Computer Science, 7: 1–24. https://doi.org/10.7717/PEERJ-CS.623
Haloho, R.D., Palayukan, J., Setiadi, A., Riyanto, E. Lutfi, N. (2024). The feasibility of business used in the Traditional Funeral. Advances in Animal and Veterinary Sciences.;12(3):523-531. https://dx.doi.org/10.17582/journal.aavs/2024/12.3.523.531
Ekowati, T., Prasetyo, E., & Handayani, M. (2018). The factors influencing production and economic efficiency of beef cattle farms in the Grobogan Region, Central Java. Journal of the Indonesian Tropical Animal Agriculture. https://doi.org/10.14710/jitaa.43.1.76-84
Ervina, D., Setiadi, A., & Ekowati, T. (2019). Analysis of Factors Affecting the Income of Dairy Cattle Farming Groups in the Rejeki Lumintu Farmers’ Group in Sumurrejo Village, Gunungpati District, Semarang. SOCA: Journal of Agricultural Social Economics, 13(2), 187. https://doi.org/10.24843/soca.2019.v13.i02.p04
FAO. (2020). The State of Food and Agriculture 2020: Overcoming Water Challenges in Agriculture. https://openknowledge.fao.org/server/api/core/bitstreams/6e2d2772-5976-4671-9e2a-0b2ad87cb646/content
Haloho, R. D. and C. L. Saragih. (2021). Feasibility Analysis of Smallholder Beef Cattle Farming in Langkat District. Agrimor 6 (1): 9-14. https://doi.org/10.32938/ag.v6i1.1189
Gunawan, E., Kuwornu, J. K. M., Datta, A., & Nguyen, L. T. (2019). Farmers’ perceptions of the warehouse receipt system in Indonesia. Sustainability (Switzerland), 11(6). https://doi.org/10.3390/su11061690
Jobirov, F., Yuejie, Z., & Kibona, C. A. (2022). Evaluating profitability of beef cattle farming and its determinants among smallholder beef cattle farmers in the Baljovan District of Khatlon region, Tajikistan. PLoS ONE, 17(September 9), 1–16. https://doi.org/10.1371/journal.pone.0274391
Kalangia, L. S., Syaukat, Y., Kuntjoro, S. U., and Priyanti, A. (2016). Factors affecting profit analysis of beef cattle farming in East Java, Indonesia. Livestock Research for Rural Development, 28(12)
Koknaroglu, H., Loy, D. D., Wilson, D. E., Hoffman, M. P., and Lawrence, J. D. (2005). Factors Affecting Beef Cattle Performance and Profitability. The Professional Animal Scientist, 21(4), 286–296. https://doi.org/https://doi.org/10.15232/S1080-7446(15)31220-1
Martín-Collado, D., Díaz, C., Benito-Ruiz, G., Ondé, D., Rubio, A., & Byrne, T. J. (2021). Measuring farmers’ attitude towards breeding tools: the Livestock Breeding Attitude Scale. animal, 15(2), 100062. https://doi.org/10.1016/j.animal.2020.100062
Mayulu, H., N. Maulida, R. Yusuf, S. N. 2018. Rahmatullah. The Effect of Production Costs on the Income of Swamp Buffalo (Bubalus Bubalis Linn) Farming in Hulu Sungai Utara Regency, South Kalimantan Province. Journal of Agricultural Technology, Mulawarman University 13(2): 58-64
Mohammed, S., Mohammed, I., and Adamu, I. (2013). Socioeconomic Factors Influencing Profitability of Cattle Marketing in Gombe Metropolis, Nigeria. International Journal of Scientific & Technology Research, 2(12)
Moss, J., Morley, P., Baker, D., Al., Moadhen, H., and Downie, R. 2016. Improving methods for estimating livestock production and productivity. New England. University of New England. Retrieved from https://openknowledge.fao.org/server/api/core/bitstreams/304640a7-f5e4-42ad-b53a-889c311cc14f/content
Rodgers, J. C., Bird, S. L., Larson, J. E., Dilorenzo, N., Dahlen, C. R., DiCostanzo, A., and Lamb, G. C. (2012). An economic evaluation of estrous synchronization and timed artificial insemination in suckled beef cows1. Journal of Animal Science, 90(11), 4055–4062. https://doi.org/10.2527/jas.2011-4836
Roessali, W., Masyhuri, Nurtini, S., and Darwanto, D. H. (2011). Factors Influencing Farmers’ Decision to Increase Beef Cattle. J Indon Tropi Anim Agric, 36(1), 27–35. https://doi.org/10.14710/jitaa.36.1.27-35
Sari, E, M., Mohd, A, N., and Sulaimen. 2015. Study of technical aspects of local buffalo husbandry in Gayo Lues Regency. Agripet Journal. 15(1):57- 60. 10.17969/agripet.v15i1.2302
Setiadi A, Santoso SI, Nuswantara LK, Sunarso (2012). Some factors influencing the income of kaligesing goat farmers in Borobudur subdistrict, magelang regency, Central Java, Indonesia. J. Indonesian Trop. Anim. Agric., 37(4): 308-312. https://doi.org/10.14710/jitaa.37.4.308-313
Sholihah, S. M., Aditiya, N. Y., Evani, E. S., and Maghfiroh, S. (2023). The Concept of Classical Assumption Testing in Multiple Linear Regression. Soedirman Accounting Research Journal, 2(2), 102–110. https://doi.org/10.32424/1.jras.2023.2.2.10792
Sirajuddin, S. N., Sudirman, I., Bahar, L. D., and Al-Tawaha, A. R. (2018). Social economic factors that affect cattle farmer’s willingness to pay for artificial insemination programs. Bulgarian Journal of Agricultural Science, 24(4), 574–580
Sugiarto, M., Wakhidati, Y. N., Einstein, A., and Saleh, D. M. (2019). The influence of Artificial Insemination (AI) cost to profitability of beef cattle farming in Banjarnegara District, Central Java Province, Indonesia. IOP Conference Series: Earth and Environmental Science, 247(1), 8–14. https://doi.org/10.1088/1755-1315/247/1/012046
Tauer, L. (2019). Farmer productivity by age in the United States. International Journal of Agricultural Management, 8(2), 74–80. https://doi.org/10.5836/ijam/2019-08-74
Tey, Y.S., and Brindal, M. (2015). Factors Influencing Farm Profitability. In: Lichtfouse, E. (eds) Sustainable Agriculture Reviews. Sustainable Agriculture Reviews 15. https://doi.org/10.1007/978-3-319-09132-7_5

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