JEFMS Journal

Google Scholar

Article Pdf

---

ABSTRACT:

Individual characteristics are personal factors related to all aspects of life that are influenced by behavior, environment, and individual interaction. Socioeconomic characteristics indicate the resources owned by agricultural extension workers to carry out extension services in accordance with their abilities that can affect the main tasks of agricultural extension workers. The purpose of this study is to analyze the correlation between the socioeconomic characteristics of extension workers and the implementation of the main tasks of agricultural extension workers. The research method used is the survey method. Sampling using saturated sample method or census with 48 respondents. The data collection method uses a questionnaire with reference to the Likert scale. The research data were analyzed using Partial Least Square (PLS). The results showed that the socioeconomic characteristics of agricultural extension workers have diversity including; productive age, education, work experience, income, and expenses. The implementation of the main duties of agricultural extension workers in carrying out their duties is quite visible from the average result of the Work Performance Value of 68.70. There is a positive correlation between the social characteristics of agricultural extension workers, age background, and length of time as extension workers with the implementation of the main duties of agricultural extension workers.

KEYWORDS:

Agricultural extension workers, characteristics, main tasks, socio-economic

REFERENCES:

1) Afef, S., Mohamed, B.D., & Rami, A. (2023). A hierarchical component model for sustainable performance measurement of maintenance practices: A fourth-order PLS-SEM approach. Journal Computers & Industrial Engineering. 285 (11). 109 - 124. https://doi.org/10.1016/j.cie.2023.109699.

2) Alexandra, Z.W., Shalom, H.S., Julia, R., & Christian, K. (2021). Basic value orientations and moral foundations: Convergent or discriminant constructs?. Journal of Research in Personality. 92 (6). 409 - 425. https://doi.org/10.1016/j.jrp.2021.104099.

3) Ayotunde, O.O., & Oyedeji, T.Y. (2022). Utilisation of information and communication technologies for agricultural extension service delivery in public and non-public organisations in southwestern Nigeria. Journal Heliyon. 8 (9). 106 - 121. https://doi.org/10.1016/j.heliyon.2022.e10676.

4) Erick, N.O., Monicah, M.M., & Benson, K.M. (2024). Socioeconomic factors influencing the uptake of tissue culture banana technology in Kisii County, Kenya. Journal Environmental Challenges. 14 (1). 100 - 112. https://doi.org/10.1016/j.envc.2023.100812.

5) Hashita, J., Kannan, G., & Robin, N. (2024). Development of a novel psychological model to predict the eco-block building adoption in Mauritius. Journal Cleaner and Responsible Consumption. 12 (3). 10 - 22. https://doi.org/10.1016/j.clrc.2024.100172.

6) Jan, M.B., Kristina, K., & Martin, W. (2012). Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models. Journal Long Range Planning. 45 (10/12). 359-394. https://doi.org/10.1016/j.lrp.2012.10.001.

7) Joel, S.W., Dawn, P.F., Christopher, R.N., & Joseph, R.E. (2024). The effect of measurement error on the positive predictive value of PSW methods for SLD identification: How buffer zones dispel the illusion of inaccuracy. Journal of School Psychology. 103 (4). 12 - 27. https://doi.org/10.1016/j.jsp.2023.101280.

8) Jose, P., & Alejandra, V. (2024). Misallocation of the immigrant workforce: Aggregate productivity effects for the host country. Journal Economic Modelling. 130 (1). 64 - 76. https://doi.org/10.1016/j.econmod.2023.106475.

9) Julia, B., Annemie, M., Wezi, M., & Hope, M. (2023). Paying for agricultural information in Malawi: The role of soil heterogeneity. Journal of Development Economics. 165 (10). 314 - 326. https://doi.org/10.1016/j.jdeveco.2023.103144.

10) Junyao, Y., & Chengpu, Y. (2024). Sparse plus low-rank identification for dynamical latent-variable graphical AR models. Journal Automatica. 159 (1). 11 - 22. https://doi.org/10.1016/j.automatica.2023.111405.

11) Karen, G.E., Jawwad, Z.R., & Isabelle, F.N. (2023). Decoding technological frames: An exploratory study of access to and meaningful engagement with digital technologies in agriculture. Journal Technological Forecasting and Social Change. 190 (5). 122 - 134. https://doi.org/10.1016/j.techfore.2023.122405.

12) Kindineh, S. (2023). Impacts of multiple livelihood diversification strategies on diet quality and welfare of smallholder farmers: Insight from Kaffa zone of Ethiopia. Journal Cleaner and Responsible Consumption. 12 (3). 161 - 184. https://doi.org/10.1016/j.clrc.2023.100161.

13) Lamin, I.K., Baqir, L., & Peter, D. (2023). Towards agricultural innovation systems: Actors, roles, linkages and constraints in the system of rice intensification (SRI) in Sierra Leone. Journal Scientific African. 19 (3). 157 - 179. https://doi.org/10.1016/j.sciaf.2023.e01576.

14) Michael, E.O., Chijioke, C.I., & Michael, C.E. (2022). Effect of pressed palm oil fruit fibre on mechanical properties of sandcrete masonry blocks using Taguchi-grey relational analysis optimization technique. Journal Cleaner Materials. 5 (9). 124 - 136. https://doi.org/10.1016/j.clema.2022.100124.

15) Mukhayyo, D., Ihtiyor, B., Lena, K., & Thomas, G. (2023). The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan. Journal Economic Analysis and Policy. 77 (3). 203-221. https://doi.org/10.1016/j.eap.2022.11.008.

16) Olivia, D., Natascha, K., Carol, F., & Celia, M. (2023). Climate change adaptation in agriculture: Learning from an international labour mobility programme in Australia and the Pacific Islands region. Journal Environmental Science & Policy. 139 (1). 250-273. https://doi.org/10.1016/j.envsci.2022.10.017.

17) Philip, A.A., & Lindsay, C.S. (2021). Improving the effectiveness of agricultural extension services in supporting farmers to adapt to climate change: Insights from northeastern Ghana. Journal Climate Risk Management. 32 (3). 100 - 112. https://doi.org/10.1016/j.crm.2021.100304.

18) Roger, V., Johannes, T., Anthony, D., Darla, E.K., Patricia, S., & Tatiana, C.K. (2023). Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research. Journal Addiction Neuroscience. 7 (9). 1009 - 1020. https://doi.org/10.1016/j.addicn.2023.100090.

19) Saeedeh, N.N., Hossein, A., Luuk, F., Kristina, J., Petr, S., & Frank, W. (2022). Social, economic and environmental vulnerability: The case of wheat farmers in Northeast Iran. Journal Science of The Total Environment. 816 (4). 151 - 166. https://doi.org/10.1016/j.scitotenv.2021.151519.

20) Susanne, E., & Luca, F. (2021). Extending the concept of social farming: Rural development and the fight against organized crime in disadvantaged areas of southern Italy. Journal of Rural Studies. 84 (5). 100 - 107. https://doi.org/10.1016/j.jrurstud.2021.03.009.

21) Yang, H., Hongfei, L., & Dongmei, Q. (2023). Integrated effects of meteorological factors, edaphic moisture, evapotranspiration, and leaf area index on the net primary productivity of Winter wheat − Summer maize rotation system. Journal Field Crops Research. 302 (10). 109 - 127. https://doi.org/10.1016/j.fcr.2023.109080.