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Abstract
This study explores the personality types of sheep farmers in Banjarnegara Regency and the influencing factors to their personality. Utilizing a quantitative approach with survey design, we collected data from 100 sheep farmers across various agroecological zones in the regency. The analysis revealed that the majority of sheep farmers were middle-aged (48.7 years on average) and extroverted (59%). Extroverted farmers tend to be younger, more open to innovation, and having higher education levels than their introverted counterparts. Logistic regression analysis identified age and education as significant factors influencing personality types (p<0.05), with older farmers were more likely introverted while extroverted farmers were associated with higher education levels. The findings suggest that personality traits drive sheep farmers in their farming practices, decision-making, and adaptability to change. This study has underscored the importance of tailored training programs and educational opportunities to enhance the productivity and welfare of sheep farmers in Banjarnegara. Future research should delve deeper into the interplay between personality types and other socio-economic factors to develop more effective empowerment strategies for livestock farmers.
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References
- Akhavan, P., Dehghani, M., Rajabpour, A., & Pezeshkan, A. (2016). An investigation of the effect of extroverted and introverted personalities on knowledge acquisition techniques. Journal of Information and Knowledge Management Systems, 46(2), 194–206. https://doi.org/10.1108/VJIKMS-06-2014-0043
- Brown, P., Daigneault, A., & Dawson, J. (2019a). Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture. Journal of Environmental Management, 231(July 2018), 110–120. https://doi.org/10.1016/j.jenvman.2018.10.018
- Brown, P., Daigneault, A., & Dawson, J. (2019b). Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture. Journal of Environmental Management, 231(February 2018), 110–120. https://doi.org/10.1016/j.jenvman.2018.10.018
- Coleman, G. J., & Hemsworth, P. H. (2014). Training to improve stockperson beliefs and behaviour towards livestock enhances welfare and productivity. OIE Revue Scientifique et Technique, 33(1), 131–137. https://doi.org/10.20506/rst.33.1.2257
- Corner-Thomas, R. A., Kenyon, P. R., Morris, S. T., Ridler, A. L., Hickson, R. E., Greer, A. W., Logan, C. M., & Blair, H. T. (2017). Farmer perceptions of the relative usefulness of information providers and technology transfer methods. New Zealand Journal of Agricultural Research, 60(3), 245–262. https://doi.org/10.1080/00288233.2017.1310114
- Crase, L., & Maybery, D. (2004). Personality and landholders’ management of remnant bush and revegetation in the murray catchment. Australasian Journal of Environmental Management, 11(1), 21–33. https://doi.org/10.1080/14486563.2004.10648595
- Crellin, C. (2014). Jung’s Theory of Personality: A modern reappraisal. Routledge , New York, USA.
- Farris, J., Maredia, M. K., Mason, N. M., & Ortega, D. L. (2024). Farmer personality and community-based extension effectiveness in Tanzania. World Development, 173, 106424. https://doi.org/10.1016/j.worlddev.2023.106424
- Hamilton, W., Bosworth, G., & Ruto, E. (2015). Entrepreneurial Younger Farmers and the Young Farmer Problem in England. The Journal “Agriculture and Forestry,” 61(4). https://doi.org/10.17707/agricultforest.61.4.05
- Iliyasu, R., & Etikan, I. (2021). Comparison of quota sampling and stratified random sampling. Biometrics & Biostatistics International Journal, 10(1), 24–27. https://doi.org/10.15406/bbij.2021.10.00326
- Iqra, A., Rozeyta, O., & Siti Aisyha, P. (2016). A Literature Review on Personality, Creativity and Innovative Behavior. International Review of Management and Marketing, 6(1), 177–182.
- Kassenboehmer, S. C., Leung, F., & Schurer, S. (2018). University education and non-cognitive skill development. Oxford Economic Papers, 70(2), 538–562. https://doi.org/10.1093/oep/gpy002
- Khalil, R. (2016). Influence of extroversion and introversion on decision making ability. International Journal of Research in Medical Sciences, 4(5), 1534–1538. https://doi.org/10.18203/2320-6012.ijrms20161224
- Lalljee, S. V., Soundararajan, C., Singh, Y. D., & Sargison, N. D. (2019). The potential of small ruminant farming as a means of poverty alleviation in rural southern India. Tropical Animal Health and Production, 51(2), 303–311. https://doi.org/10.1007/s11250-018-1686-4
- Lianou, D. T., & Fthenakis, G. C. (2021). Dairy sheep and goat farmers: Socio-demographic characteristics and their associations with health management and performance on farms. Land, 10(12), 1–19. https://doi.org/10.3390/land10121358
- Martin-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). https://doi.org/10.1016/j.animal.2020.1,00062
- Melville, J. L., Kuznesof, S., & Franks, J. R. (2023). From hinterland to heartland: Knowledge and market insecurity are barriers to crop farmers using sustainable soil management in Guyana. Frontiers in Sustainable Food Systems, 7. https://doi.org/10.3389/fsufs.2023.1037368
- Munoz, C. A., Coleman, G. J., Hemsworth, P. H., Campbell, A. J. D., & Doyle, R. E. (2019). Positive attitudes, positive outcomes: The relationship between farmer attitudes, management behaviour and sheep welfare. PLoS ONE, 14(7), 1–18. https://doi.org/10.1371/journal.pone.0220455
- O’Kane, H., Ferguson, E., Kaler, J., & Green, L. (2017). Associations between sheep farmer attitudes, beliefs, emotions and personality, and their barriers to uptake of best practice: The example of footrot. Preventive Veterinary Medicine, 139, 123–133. https://doi.org/10.1016/j.prevetmed.2016.05.009
- O’Leary, N., Tranter, R., & Bennett, R. (2018). Are farmer personality traits associated with farm profitability? Results from a survey of dairy farmers in England and Wales. International Journal of Agricultural Management, 7(2), 17–25. https://doi.org/10.5836/ijam/2018-07-17
- Ochoa, C., & Porcar, J. M. (2018). Modeling the effect of quota sampling on online fieldwork efficiency: An analysis of the connection between uncertainty and sample usage. International Journal of Market Research, 60(5), 484–501. https://doi.org/10.1177/1470785318779545
- Odintsov Vaintrub, M., Levit, H., Chincarini, M., Fusaro, I., Giammarco, M., & Vignola, G. (2021). Review: Precision livestock farming, automats and new technologies: possible applications in extensive dairy sheep farming. Animal, 15(3), 100143. https://doi.org/10.1016/j.animal.2020.100143
- Ponto, J. (2015). Understanding and Evaluating Survey Research. Journal of the Advanced Practitioner in Oncology, 6(2), 168–171. https://doi.org/10.6004/jadpro.2015.6.2.9
- Roberts, T. (2012). Understanding survey research:Applications and Processes. British Journal of Midwifery, 20(2), 114–119.
- Salonen, M., Mikkola, S., Niskanen, J. E., Hakanen, E., Sulkama, S., Puurunen, J., & Lohi, H. (2023). Breed, age, and social environment are associated with personality traits in dogs. IScience, 26(5), 106691. https://doi.org/10.1016/j.isci.2023.106691
- Schröter, I., & Mergenthaler, M. (2021). Applying the HEXACO Model of Personality to German Livestock Farmers: Item Scale Validation, Personality Structure and Influence on Participation in Livestock Certification Schemes. International Journal on Food System Dynamics, 12(3), 224–245. https://doi.org/10.18461/ijfsd.v12i2.87
- Smith, T. J., & Mckenna, C. M. (2013). A comparison of logistic regression pseudo R2 indices. Multiple Linear Regression Viewpoints, 39(2), 17–26.
- Stoltzfus, J. C. (2011). Logistic regression: A brief primer. Academic Emergency Medicine, 18(10), 1099–1104. https://doi.org/10.1111/j.1553-2712.2011.01185.x
- Tian, Y., Fan, Y., & He, G. (2022). Farmers’ personality traits and credit exclusion: Evidence from rural China. Frontiers in Psychology, 13(August), 1–15. https://doi.org/10.3389/fpsyg.2022.979588
- Villano, R. A., Koomson, I., Nengovhela, N. B., Mudau, L., Burrow, H. M., & Bhullar, N. (2023). Relationships between Farmer Psychological Profiles and Farm Business Performance amongst Smallholder Beef and Poultry Farmers in South Africa. Agriculture (Switzerland), 13(3), 1–22. https://doi.org/10.3390/agriculture13030548
- Voaklander, D. C., Dosman, J. A., Hagel, L. M., Warsh, J., & Pickett, W. (2010). Farm work exposure of older male farmers in Saskatchewan. American Journal of Industrial Medicine, 53(7), 706–715. https://doi.org/10.1002/ajim.20811
- Wilkinson, R. L. (2009). Population dynamics and succession strategies of rural industry producers by. In Main. Victoria University.
- Wulansari, A., Kumaidi, K., & Hadi, S. (2021). Identification of High School Student’s Career Preference with the Logistics Model. 2nd International Conference of Science and Technology for the Internet of Things, ICSTI, 1–14. https://doi.org/10.4108/eai.20-9-2019.2290948
- Zafar, S., & Meenakshi, K. (2012). A study on the relationship between extroversion-introversion and risk-taking in the context of second language acquisition. International Journal of Research Studies in Language Learning, 1(1), 33–40. https://doi.org/10.5861/ijrsll.2012.v1i1.42