Research Articles
Vol. 13 No. sp7 (2026): International Conference on Agricultural Sustainability
Implementation of an agribusiness system to support rice farming performance in Grobogan, Indonesia
Department of Agriculture, Faculty of Animal and Agricultural Sciences Universitas Diponegoro, Semarang 50275, Central Java, Indonesia
Department of Agriculture, Faculty of Animal and Agricultural Sciences Universitas Diponegoro, Semarang 50275, Central Java, Indonesia
Department of Agriculture, Faculty of Animal and Agricultural Sciences Universitas Diponegoro, Semarang 50275, Central Java, Indonesia
Abstract
Examining the implementation of an agribusiness system and its effect on rice farming performance in Grobogan is crucial for identifying challenges and opportunities to improve farmers’ productivity, efficiency and profitability. The findings of this analysis can serve as a foundation for developing suitable policies and programmes to support advancement of rice-farming in Grobogan. This study analysed agribusiness implementation, production, efficiency, profitability of rice farming. The research employs a survey method, selecting two districts, Wirosari and Godong and two villages from each district. Farmer samples were obtained through simple random sampling, with 20 samples from each village, resulting in a total of 80 samples. Data were analysed using agribusiness approach, multiple linear regression and the economic efficiency. The results indicated that agribusiness system had been implemented effectively with rice productivity reaching 75 quintals/ha, with an average land area of 0.77 ha. All the independent variables, land, seeds, urea fertiliser, triple superphosphate (TSP) fertiliser, pesticide, labour and agribusiness implementation significantly affected rice production. With an adjusted value of 0.968, the use of input factors was not yet efficient. The average income of rice farmers was Indonesian rupiah (IDR) 15172142/planting season with a profitability of 67.97 %, demonstrating that rice farming in Grobogan is continuing.
References
- 1. Ekowati T, Darwanto DH, Nurtini S, Suryantini A. The analysis of beef cattle subsystem agribusiness implementation in Central Java Province, Indonesia. J Indones Trop Anim Agric. 2011;36(4):281-9. https://doi.org/10.14710/jitaa.36.4.281-289
- 2. Yusli Y, Fauziyah E. Variabel penentu dan efisiensi teknis produksi jagung lokal di Madura. Agriscience. 2020;1(1):61–73. https://doi.org/10.21107/agriscience.v1i1.7591
- 3. Adhiana A. Analisis efisiensi ekonomi usahatani: pendekatan stochastic production frontier. 2018. https://api.semanticscholar.org/CorpusID:230408575
- 4. Aziza DN, Prasetyo E, Setiadi A. Analisis efisiensi ekonomis penggunaan input produksi pada usahatani bawang merah di Kecamatan Selo Kabupaten Boyolali. Jurnal Litbang Media Inf Penelit Pengemb IPTEK. 2022;18(2):91–106. https://doi.org/10.33658/jl.v18i2.311
- 5. Mubyarto. Pengantar Ekonomi Pertanian. Jakarta: LP3ES; 1995.
- 6. Febriyanto AT, Pujiati A. Analisis efisiensi teknis usahatani bawang merah. Efficient Indones J Dev Econ. 2021;4(1):1021–32. https://doi.org/10.15294/efficient.v4i1.41228
- 7. Soekartawi. Teori Ekonomi Produksi Dengan Pokok Bahasan Analisis Fungsi Cobb Douglas.PT. Raja Grafindo Persada. Jakarta. p250. 2003.
- 8. Singarimbun M, Effendi S. Metode Penelitian Survei. Jakarta: LP3ES; 1991.
- 9. Heir JF, Anderson RE, Babin BJ, Black WC. Multivariate Data Analysis: A Global Perspective. 9th ed. Pearson; 2021.
- 10. Sugiyono. Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta; 2022.
- 11. Duan SX, Wibowo S, Chong J. A multicriteria analysis approach for evaluating the performance of agriculture decision support systems for sustainable agribusiness. Mathematics. 2021;9(8):884. https://doi.org/10.3390/math9080884
- 12. Raji E, Ijomah T, Eyieyien O. Improving agricultural practices and productivity through extension services and innovative training programmes. Int J Appl Res Soc Sci. 2024;6(7):1297–309. https://doi.org/10.51594/ijarss.v6i7.1267
- 13. Neves MF, Teixeira GDO, Toledo PJF, Cambaúva V, Casagrande BP. Agriculture 6.0: a new proposal for the future of agribusiness. Rev Gest Soc Ambient. 2023;17(9):e04004. https://doi.org/10.24857/rgsa.v17n9-021
- 14. Schmidt P, Lovell CAK. Estimating technical and allocative inefficiency relative to stochastic production and cost frontier. J Econom. 1979;9(3):343–66. https://doi.org/10.1016/0304-4076(79)90078-2
- 15. Innazent A, Jacob D, Bindhu JS, Joseph B, Anith KN, Ravisankar N. Farm typology of smallholders integrated farming systems in Southern Coastal Plains of Kerala, India. Sci Rep. 2022;12(1):333. https://doi.org/10.1038/s41598-021-04148-0
- 16. Erythrina E, Rauf AW, Bora CY, Darwis V, Suriadi A, Syahbuddin H. Assessing opportunities to increase yield and profit in rainfed lowland rice systems in Indonesia. Agronomy. 2021;11(4):777. https://doi.org/10.3390/agronomy11040777
- 17. Kusuma AP, Setiyawan H, Ekowati T. Analisis komparasi pendapatan usaha dan profitabilitas ayam broiler pola kemitraan pada berbagai perusahaan inti di Kecamatan Gunungpati Kota Semarang. Anim Agric J. 2014;3(1):24–33.
- 18. Hörner D, Wollni M, Frölich M, Bouguen A. Knowledge and adoption of complex agricultural technologies: evidence from an extension experiment. World Bank Econ Rev. 2021;36(1):68–90. https://doi.org/10.1093/wber/lhab025
- 19. Suharyanto S. Efisiensi ekonomi relatif usahatani padi sawah dengan pendekatan fungsi keuntungan pada Programme Sekolah Lapang-Pengelolaan Tanaman Terpadu (SL-PTT) di Provinsi Bali. Inform Pertanian. 2015;24(1):59. https://doi.org/10.21082/ip.v24n1.2015.p59-66
- 20. Mdoda L, Tamako N, Gidi LS, Naidoo D. Evaluating the impact of improved maize varieties on agricultural productivity and technical efficiency among smallholder farmers in the Eastern Cape, South Africa: an empirical analysis. GM Crops Food. 2025;16(1):272–304. https://doi.org/10.1080/21645698.2025.2476667
- 21. Petros C, Sileshi M, Feyissa S, Shepande C. Factors influencing climate-smart agriculture practices adoption and crop productivity among smallholder farmers in Nyimba District, Zambia. F1000Res. 2025;13:815. https://doi.org/10.12688/f1000research.144332.2
- 22. Yusdja, Winarso YB. Social economic development policy toward the expected animal husbandry. Anal Kebij Pertan. 2009;7(3):269–87.
- 23. Siyanbola KF, Furr CLL, Oladipo EK, Carvalho P, Onyeaka H, Hodges FE. Bacteriophages: sustainable and effective solution for climate-resilient agriculture. Sustain Microbiol. 2024;1(1):025. https://doi.org/10.1093/sumbio/qvae025
- 24. Abdallah AH, Abdul-Rahaman A, Issahaku G. Sustainable agricultural practices, farm income and food security among rural households in Africa. Environ Dev Sustain. 2021;23(12):17668–701. https://doi.org/10.1007/s10668-021-01407-y
- 25. Osumba JJL, Oroma GW, Recha JW. Transforming agricultural extension service delivery through innovative bottom–up climate-resilient agribusiness farmer field schools. Sustainability. 2021;13(7):3938. https://doi.org/10.3390/su13073938
- 26. Zelisko N, Markovych N, Matskiv H, Raiter N, Vasylyna O. Improving business processes in the agricultural sector considering economic security, digitalization, risks and artificial intelligence. Ekonomika APK. 2024;31(3):10–21. https://doi.org/10.32317/2221-1055.2024030.10
- 27. Kansiime MK, Kessy RF, Williams F, Marandu D, Njau SS, Nicodemus J. Assessing sustainability factors of farmer seed production: a case of the Good Seed Initiative project in Tanzania. Agric Food Secur. 2021;10(1). https://doi.org/10.1186/s40066-021-00289-7
- 28. Njonjo MW, Muthomi JW, Mwang’Ombe AW. Production practices, postharvest handling and quality of cowpea seed used by farmers in Makueni and Taita Taveta Counties in Kenya. Int J Agron. 2019;2019:1–12:1607535. https://doi.org/10.1155/2019/1607535
- 29. Brookes G, Barfoot P. GM crop technology use 1996–2018: farm income and production impacts. GM Crops Food. 2020;11(4):242–61. https://doi.org/10.1080/21645698.2020.1779574
- 30. De Pinto A, Cenacchi N, Kwon HY, Koo J, Dunston S. Climate smart agriculture and global food-crop production. PLoS One. 2020;15(4):e0231764. https://doi.org/10.1371/journal.pone.0231764
- 31. Geda MB, Haji J, Jemal K, Zeleke F. Determinants of adoption of climate smart agricultural technologies in wheat production in Arsi Zone, Oromia Region of Ethiopia. Discov Food. 2024;4(1):8. https://doi.org/10.1007/s44187-024-00077-9
- 32. Sharma P, Dadheech P, Senthil Kumar Senthil AV. AI-enabled crop recommendation system based on soil and weather patterns. 2023. p. 184–99. https://doi.org/10.4018/978-1-6684-8516-3.ch010
- 33. Thabane VN, Agholor IA, Sithole MZ, Morepje MT, Msweli NS, Mgwenya LI. Socio-demographic determinants of climate-smart agriculture adoption among smallholder crop producers in Bushbuckridge, Mpumalanga Province of South Africa. Climate. 2024;12(12):202. https://doi.org/10.3390/cli12120202
- 34. Vijayakumar S, Nithya N, Mariadoss A, Subramanian E, Saravanane P. Revolutionizing rice farming: maximizing yield with minimal water to sustain the hungry planet. IntechOpen; 2024. https://doi.org/10.5772/intechopen.112167
- 35. Chidiebere-Mark N, Ohajianya D, Onyeagocha S, Obasi P. Profitability of rice production in different production systems in Ebonyi State, Nigeria. Open Agric. 2019;4(1):237–46. https://doi.org/10.1515/opag-2019-0022
- 36. Choudhary D, Erenstein O, Banskota K, Mcdonald AJ, Khanal NP, Krupnik TJ. Rice subsector development and farmer efficiency in Nepal: implications for further transformation and food security. Front Sustain Food Syst. 2022;5. https://doi.org/10.3389/fsufs.2021.740546
- 37. Masuda K. Energy efficiency of intensive rice production in Japan: an application of data envelopment analysis. Sustainability. 2018;10(1):120. https://doi.org/10.3390/su10010120
- 38. Connor M, Kobarsih M, Sudarmaji S, Pustika AB, Hellin J, De Guia AH. Rice farming in Central Java, Indonesia-adoption of sustainable farming practices, impacts and implications. Agronomy. 2021;11(5):881. https://doi.org/10.3390/agronomy11050881
- 39. Mainuddin M, Alam MM, Maniruzzaman M, Kabir MJ, Mojid MA, Hasan MM. Yield, profitability and prospects of irrigated Boro rice cultivation in the North-West region of Bangladesh. PLoS One. 2021;16(4):e0250897. https://doi.org/10.1371/journal.pone.0250897
- 40. De Lima CZ, Hertel TW, Baldos ULC, Buzan JR, Moore FC, Huber M. Heat stress on agricultural workers exacerbates crop impacts of climate change. Environ Res Lett. 2021;16(4):044020. https://doi.org/10.1088/1748-9326/abeb9f
- 41. Hamilton SF, Shafran AP, Vasilaky KN, Richards TJ. Farm labour productivity and the impact of mechanization. Am J Agric Econ. 2021;104(4):1435–59. https://doi.org/10.1111/ajae.12273
- 42. Midya A, Gaikwad DJ, Hossain A, Alsanie WF, Maitra S, Praharaj S. Crop establishment methods and integrated nutrient management improve: Part I. crop performance, water productivity and profitability of rice (Oryza sativa L.) in the Lower Indo-Gangetic Plain, India. Agronomy. 2021;11(9):1860. https://doi.org/10.3390/agronomy11091860
- 43. Tran DD, Park E, Thu Van C, Nguyen TD, Nguyen AH, Linh TC. Advancing sustainable rice production in the Vietnamese Mekong Delta: insights from ecological farming systems in An Giang Province. Heliyon. 2024;10(17):e37142. https://doi.org/10.1016/j.heliyon.2024.e37142
- 44. Kamaruddin SW, Zulkifli Z, Akbar A. Strengthening farmer institutions in rice farming: an interpretive structural modeling approach. J Ilmu Pertan Indones. 2025;30(4):703–11. https://doi.org/10.18343/jipi.30.4.703
- 45. Bijarniya D, Jat RK, Kalvania K, Parihar CM, Kakraliya SK, Jat ML. Portfolios of climate smart agriculture practices in smallholder rice-wheat system of Eastern Indo-Gangetic Plains-crop productivity, resource use efficiency and environmental foot prints. Agronomy.2020;10(10):1561.https://doi.org/10.3390/agronomy10101561
Downloads
Download data is not yet available.