The Influence of Innovation Characteristics to Farmers’ Decision in Accepting Integrated Crop-Livestock Technology in Karanganyar Region, Central Java

Sutrisno Hadi Purnomo; Eka Handayanta; Aqni Hanifa; Agung Wibowo; Mela Purnaningrum

doi:10.21059/buletinpeternak.v43i4.40765

The Influence of Innovation Characteristics to Farmers’ Decision in Accepting Integrated Crop-Livestock Technology in Karanganyar Region, Central Java

https://doi.org/10.21059/buletinpeternak.v43i4.40765

Sutrisno Hadi Purnomo^(1*), Eka Handayanta⁽²⁾, Aqni Hanifa⁽³⁾, Agung Wibowo⁽⁴⁾, Mela Purnaningrum⁽⁵⁾

(1) Faculty of Agriculture, Universitas Sebelas Maret, Surakarta, Indonesia
(2) Faculty of Agriculture, Universitas Sebelas Maret, Surakarta, Indonesia
(3) Faculty of Agriculture, Universitas Sebelas Maret, Surakarta, Indonesia
(4) Faculty of Agriculture, Universitas Sebelas Maret, Surakarta, Indonesia
(5) Faculty of Agriculture, Universitas Sebelas Maret, Surakarta, Indonesia
(*) Corresponding Author

Abstract

Farmer’s decision in accepting integrated crop-livestock farming technology was affected by a some factors, including innovation characteristic. This research aimed to figure out the influence of innovation characteristic (relative advantage, compatibility, complexity, triability and observability) to farmer’s decision in adopting the innovation. The research was held in Ngargoyoso Subdistrict, Karanganyar Region, Central Java Province. Basic method used in this research was descriptive quantitative using purposive sampling technique to determine research location. Samples were determined using purposive sampling method with total number was 52 respondents. Data were analyzed using several analysis : data normality, validity, reliability, Oneway ANOVA, multiple linear regression and classic assumption. Oneway ANOVA test showed that farmers with different farming experience had different response in deciding to adopt the technology. Multiple linear regression test gave an equation Y = 2.379 + 0.369X₁+ 0.213X₂ + 0.080X₃ + 0.777X₄+ (-0.320X₅) + e. The determination coefficient value (R²) is 0.647. The conclusion of this research was characteristic of innovation significantly influenced the farmers’ decision in accepting the integrated crop-livestock technology simultaneously, but partially only variable relative advantage and triability which significantly influenced to farmers’ decision in accepting the integrated crop-livestock technology innovation.

Keywords

Farmers’ decision; Innovation characteristic; Integrated crop-livestock

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References

Abdurahman, M., Muhidin, and Somantri. 2011. Dasar-Dasar Metode Statistika untuk Penelitian. Pustaka Setia, Bandung.

Akudugu, M. A., E. Guo, S. K. Dadzie. 2012. Adoption of modern agricultural production technologies by farm households in Ghana: What Factors Influence their Decisions? Journal of Biology, Agriculture and Healthcare 2: 1-13.

Algifari. 2003. Statistika Induktif untuk Ekonomi dan Bisnis. AM YKPN, Yogyakarta.

Badan Pusat Statistik (BPS). 2016. Kecamatan Ngargoyoso Dalam Angka 2016. BPS, Karanganyar.

Bakhshinejad, M. 2015. Economic analysis of small-scale cow fattening In Iran. Research J. Fish. Hydrobiol. 10: 394-399.

Basuni, R., Muladno, K. Cecep and Suryahadi 2010. Sistem integrasi padi-sapi potong di lahan sawah. Jurnal Iptek Tanaman Pangan 5: 31-48.

Biniaz, A., B. Hassanpour and E. Asadi 2014. Labor productivity and factors affecting its demand in paddy farms in KB Province Iran. J. Agric. Sci. Dev. 3: 251-255.

Boonyanuwat, K. and M. Wongsri. 2016. Integrating Thai native cattle into organic paddy rice farming system in Bokcharearn Community, Ubonratchathani Province. Rajabhat Agric. 15: 22-26.

Chambers, R. 1997. Whose reality counts? Putting the first last. Intermediate Technology Publications, London.

Darmawan, D. 2013. Metode Penelitian Kuantitatif. PT. Remaja Rosdakarya, Bandung.

Ekowati, T., E. Prasetyo and M. Handayani 2018. The factors influencing production and economic efficiency of beef cattle farm in Grobogan Region, Central Java. Journal of the Indonesian Tropical Animal Agriculture 43: 76-84.

Ghozali, I. 2009. Aplikasi Analisis Multivariate dengan SPSS. Edisi Keempat. Universitas Diponegoro Press, Semarang.

Gupta, V., P. K. Rai and K. S. Risam. 2012. Integrated Crop-Livestock Farming Systems: A Strategy for Resource Conservation and Environmental Sustainability. Indian Research Journal of Extension Education 2: 49-54.

Hilimire, K. 2011. Integrated Crop-Livestock Agriculture in the United States: A Review'. Journal of Sustainable Agriculture 35: 376-393.

Kaufmann, P., R. Zemeckis, V. Skulskis, E. Kairyte and S. Stagl. 2011. The diffusion of organic farming in Lithuania. Journal of Sustainable Agriculture 35: 522-549.

Kurnia, S. and R. B. Johnston. 2000. The need for a processual view of inter-organizational system adoption. Journal of Strategic Information Systems 9: 295-319.

Mapila, M. A. T. J. 2011. Rural livelihoods and agricultural policy changes in Malawi. Agricultural Innovations for Sustainable Development. In: Accra-Ghana, CTA and FARA. Manners, G. and Sweetmore, A. (ed.). Pp.3: 190-195.

Munandar, F. Gustiar, Yakup, R. Hayati, and A. I. Munawar. 2015. Crop-Cattle Integrated Farming System: An Alternative of Climatic Change Mitigation. J. Anim. Sci. Technol. 38: 95-103.

Muhidin, S. A. and M. Abdurahman. 2007. Analisis Korelasi, Regresi, dan Jalur dalam Penelitian. CV. Pustaka Setia, Bandung.

Musyafak, A. and T. M. Ibrahim. 2005. Strategi Percepatan Adopsi dan Difusi Inovasi Pertanian Mendukung Prima Tani. Analisis Kebijakan Pertanian 3: 20-37.

Purnomo, S. H., S. Emawati, A. I. Sari, E. T. Rahayu, E. Handayanta, and A. Hanifa 2019. Investigation of Barriers to Integrated Paddy and Beef Cattle Farming In Organic Agricultural System. Russian Journal of Agricultural and Socio Economics Sciences 1: 507-512.

Rousan, L. M. 2007. Factors Influencing Adoption of Improved Farm Practices among Women Farmers in Northern Jordan. American-Eurasian J. Agri. Env. Sci. 2: 220-226.

Syamsu, J. A., H. M. Ali, M. Ridwan, and M. A. Asja. 2013. Analysis of Sustainability Status of Integration of Beef Cattle and Paddy with Technology Innovation of Rice Straw as Feed and Beef Cattle Manure as Fertilizer and Biogas. Environment and Natural Resources Journal 11: 1-16.

Rundengan, M. L., Z. Fanani, I. Subagiyo, and F. H. Elly. 2013. Integrated Farming System Model in South Minahasa Regency – North Sulawesi. IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS). 5: 01-07.

Rahab. 2009. Hubungan antara karakteristik teknologi dengan kemungkinan usaha kecil untuk mengadopsi TI. Jurnal Bisnis dan Ekonomi (JBE) 16: 111-125.

Randall, G. W. 2003. Present-day agriculture in southern Minnesota— is it sustainable? http://sroc.coafes.umn.edu/Soils/Recent%20Publications%20and%20Abstracts/Present-Day%20Agriculture.pdf. Accessed: 21 Nov. 2006. Univ. of Minnesota, Southern Res. and Outreach Center, Waseca.

Robinson, L. 2009. A summary of Diffusion of Innovations. Enabling change. Free Press, New York. Retrieve as https://twut.nd.edu/PDF/Summary_Diffusion_Theory.pdf

Rogers, E. M. 1995. Diffusion of Innovations. Fifth edn 2003. Free Press, New York.

Santoso. 2016. Menggunakan SPSS untuk Statistik Non Parametrik. Elex Media Komputindo, Jakarta.

Van den Ban, A. W. and H. S. Hawkins. 1996. Agricultural Extension. Second edn. Blackwell Science, Oswey Mead, Oxford OX2 OEL. Kanisius, Yogyakarta.

Youngberg, G. and R. Harwood. 1989. Sustainable Farming System: Needs and Opportunities. American Journal of Alternative Agriculture 4: 100-108.

Yulmar, J., N. Hosen, N. Hasan, and K. Rudy. 2011. Penerapan Teknologi Pertanian Terpadu Berkonsep Biocyclo Farming dalam Rangka Mendukung Swasembada Pangan dan Peningkatan Pendapatan Petani. Bidang Litbang-Badan Perencanaan Pembangunan Daerah, Provinsi Sumatera Barat.

DOI: https://doi.org/10.21059/buletinpeternak.v43i4.40765