Farmer’s perceptions of coffee by-products as Bali cattle feed in Catur Village-Bali
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Abstract
The limitations of conventional feed sources can be overcome using feed ingredients based on plantation waste. The perception of most farmers (88.76%) on the use of coffee by-products as feed for Bali cattle is good. The youngest respondent was 26 years old, and the oldest was 68 years old. Most of respondents had elementary school education (57.14%), 40.48% of respondents had land to be used for coffee cultivation in the range of 0 – 0.5 Ha, raising Bali cattle in the range of 0-3 heads (78.57%), with 40 years of experience raising Bali cattle. Furthermore, age, formal education, the area of coffee area, the number of cattle, and experience in raising cattle have been shown to have a positive and significant effect (P<0.05) simultaneously and partially on farmers' perceptions of the utilization of coffee by-products as Bali cattle feeds with an R Square (R2) of 0.891. Age is the primary indicator that has the most significant influence on the coffee farmers' perception of using coffee by-products as Bali cattle feed. The coefficient of determination showed that the effect of the independent variable on the dependent variable simultaneously is 89.1%. While the remaining 10.9% is explained by other variables which are not included in the model. In conclusion, counseling on coffee by-products processing as Bali cattle feed has succeeded in changing perceptions, which will continue at each farmer's innovation adoption stage. The influence of individual characteristics cannot be ruled out in measuring coffee farmers' perceptions.
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References
Archer D.W., Franco, J. G., Halvorson, J. J. and Pokharel, K. P. (2018). Integrated Farming Systems. Encyclopedia of Ecology (Second Edition), 4:508-514.
Baba, S., Dagong, M. I. A., Sohrahc, S. and Utamy, R. F. (2019). Factors Affecting the Adoption of Agricultural By-Products as Feed by Beef Cattle Farmers in Maros Regency of South Sulawesi, Indonesia. Tropical Animal Science Journal, 42:76-80.
Daxini, A., O'Donoghue, C., Ryan, M., Buckley, C., Barnes, A. P. and Dalye, K. (2018).Which factors influence farmers' intentions to adopt nutrient management planning?. Journal of Environmental Management, 224:350-360.
Fyka, S.A., Limi, A., Zani, M. and Mokodompit, H. E. A. J. (2019). Analysis of Potential and Feasibility of Farming System for Cattle Rice Integration (Case Study in Silea Jaya Village, Buke District, South Konawe Regency). Journal of Tropical Animal Husbandry Science and Technology, 6:375-381.
Gumbira, S. and Harizt, I. A. (2001). Agribusiness Management. PT. Ghalia Indonesia, Jakarta.
Indraningsih, K. C. (2011). The Effect of Counseling on Farmers' Decisions in Adopting Integrated Farming Technology Innovations. Gro Economics Journal, 29:1-24.
Kathleen, H. (2011). Integrated Crop/Livestock Agriculture In The United States: A Review. Journal Sustainable agricultural, 35:376-393.
Kretschmer, S., Langfeldt, B., Herzig, C. and Krikser, T. (2021). The Organic Mindset: Insights from a mixed methods grounded theory (mm-gt) study into organic food systems. Sustainability (Switzerland), 13:4724.
Kurnia, E., Riyanto, B. and Kristanti, N. D. (2019). The Effect of Age, Education, Livestock Ownership and Length of Farming on Making Fill In Rumen Of Cattle Of Mol Behavior In KUT. Lembu Sura. Journal of Extension Development, 1(2).
Kusumatuti, T. A and Sembiring, S. (2016). Integrated Agricultural Systems: Measurement of Resource and Economic Potential in Small Ruminants. Gadjah Mada University Press. Yogyakarta.
Kusumo, D., Priyanti, A. and Saptati, R. A. (2017). Livestock Business Development Prospects of Integrated Patterns. Animal Science, 5:26.
Liu, L. and Qingxiong, M. (2006). Perceived System Performance: A Test of an Extended Technology Acceptance Model. Database for Advances in Information Systems, 37:51-59.
Makatita, J. (2014). Effectiveness Level of Using Extension Methods Development of Beef Cattle in Buru District, Maluku Province. Agromedia, 32(2).
Manatar, M. P., Laoh, E. H. and Mandei J. R. (2017). The Effect of Land Tenure Status on the Income of Rice Farmers in Tumani Village, Maesaan District, South Minahasa Regency. Journal of Agri-Socio Economics, Unsrat, 3:55-64.
Manyamsari, I and Mujiburrahmad. (2014). Characteristics of Farmers and Their Relationship with Farmers' Behavior in Narrow Land. Agrisep, 15(2).
Maryam, M. B., Paly. and Astati. (2016). Analysis of Factors Affecting Determinants of Beef Cattle Farming Business Income (Case Study of Otting Village, Bone Regency). Journal of Animal Science and Industry, 3(1).
Maswadi, M., Oktoriana, S. and Suharyani, A. (2018). The Effect Of Farmer Characteristics On Perceptions Of The Fermented Cocoa Beans Technology In Bengkayang Regency, West Kalimantan. Agritropica, 1:85-92.
National Statistical Bureau of Bali Province (2021). Arabica Coffee Production by Regency/City in Bali Province (Ton), 2018-2020. Retrieved from https://bali.bps.go.id/indicator/54/349/1/produksi-kopi-arabika-menurut-kabupaten-kota-di-provinsi-bali.html
Rukmana, H. R. (2014). Exorbitant Profits from Coffee Agribusiness. Yogyakarta: Lily Publisher.
Rusdiana (2014). Educational Innovation Concept. CV. Pustaka Setia. Bandung.
Salamanca, A. N., Dwisasanti, J. R. and Turner-Walker, S. (2013). Assessment of adaptation needs, policies and priorities: cases from Indonesian islands. Adaptation Knowledge Platform, Partner Report Series No.11. Bangkok (TH): Stockholm Environment Institute. Retrieved from: www.asiapacificadapt.netor.weADAPT.org.
Saptana (2012). The Concept of Food Farming Efficiency and Its Implications for Increasing Productivity. Journal of Agro-Economic Forum/FAE, 30:109-128.
Siswati, L. and Nizar, R. (2012). Integrated Farming Model for Horticultural Crops and Cattle to Increase Farmers' Income. Indonesian Journal of Animal Science, 14:379.
Soekartawi. (2005). Basic Principles of Agricultural Communication. UI Press Publisher. Jakarta.
Sudjana (2016). Statistical Method. Bandung: Taristo
Sugiyono (2018). Mixed Methods Research. Bandung: CV Alfabeta.
Sumanto (2014). Common Psychology. PT. Buku Seru. Yogyakarta.
Syatra, U., Kasim, S. N. and Asnawi, A. (2016). Effect of knowledge, motivation, and cost of artificial insemination on the adoption of AI technology for beef cattle breeders in Waji Village, Tellu Siattinge District, Bone Regency. Journal JIIP, 3:71-76.