Diffusion and implementation of innovation in Binuang agricultural training farmer groups

Marhaeni Fajar Kurniawati Kurniawati, Agus Sumantri, Rustono Farady Marta, Engliana Engliana, Helmi Azahari
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Abstract

To understand the Diffusion of Innovation and its impact on achieving organisational goals, this research investigates the utilisation of the D-Corp Division Model Based on Corporation, an innovative approach implemented within farmer groups and associations to establish the Division of Agricultural Training in Binuang. Employing a quantitative survey method, the study conducts regression analysis to ascertain the significance of relationships between variables. The findings reveal that the Diffusion of innovation variable demonstrates a significant effect on other variables, as evidenced by the tcount value (1.660) exceeding the critical ttable value (3.197) at a level of significance below the table score (0.002 < 0.05). Consequently, the initial hypothesis (a) is accepted, implying that the Diffusion of Innovation does not significantly influence the application of Innovation. On the other hand, the Innovation Variable exhibits a tcount value (5.003) more significant than the critical ttable value (1.660) with an influence score below the table score (0.000 < 0.05). Thus, the second hypothesis is accepted, indicating a substantial partial influence of Innovation on the application of Innovation in this study. Moreover, the Diffusion of Innovation and work innovation have a combined impact on the research data (0.000 < 0.05, Fcount = 34.663 > Ftable = 3.07). Consequently, Ha3 is accepted, signifying a simultaneous correlation between two independent variables: the innovation diffusion variable (X1) and work innovation variable (X2) concerning the application of innovation (Y) variable.
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推广和实施创新的碧光农业培训农民群体
为了了解创新的扩散及其对实现组织目标的影响,本研究调查了基于公司的D-Corp部门模型的使用情况,这是一种在农民团体和协会中实施的创新方法,以建立binang农业培训部门。本研究采用定量调查的方法,进行回归分析,确定变量之间关系的显著性。研究发现,创新扩散变量对其他变量的影响显著,tcount值(1.660)在低于表得分(0.002 <)的显著水平上超过了表值(3.197);0.05)。因此,最初的假设(a)被接受,这意味着创新的扩散并不显著影响创新的应用。另一方面,创新变量的tcount值(5.003)比关键表值(1.660)更显著,影响得分低于表得分(0.000 <0.05)。因此,第二个假设被接受,这表明创新对本研究中创新的应用存在实质性的部分影响。此外,创新扩散和工作创新对研究数据有联合影响(0.000 <0.05, Fcount = 34.663 >Ftable = 3.07)。因此,Ha3被接受,表明创新扩散变量(X1)和工作创新变量(X2)两个自变量与创新应用(Y)变量同时存在相关性。
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