PERAN PENYULUH PERTANIAN DALAM MENINGKATKAN PRODUKSI KOPI DI DESA WEJANG MAWE KECAMATAN LAMBA LEDA TIMUR (The Role Of Agricultural Extension Workers In Increasing Coffee Production In Wejang Mawe Village, East Lamba Leda District)

Abstract

The purpose of this study was to find out how agricultural instructors contribute to the growth of coffee production in Wejang Mawe Village, East Lamba Leda District, East Manggarai Regency. In this study, a quantitative approach to descriptive research was employed as the research methodology. Multiple linear regression was employed in the data analysis for this study, while questionnaires and documentation were distributed as data collectio n technique.The resut of this study showed that the average impact of agricultural instructors' participation was 88.97%, based on descriptive statistical statistics, suggesting that their role is crucial in raising coffee output. indicating a normally distributed relationship between the function of agricultural instructors and coffee production, based on  the data normalcy test. The linearity test indicates that there is a linear relationship between variables (X) and (Y). According to the independent variables' multicollinearity test, the tolerance is less than 0.10 and the VIF score is greater than 10.00. The data on the contribution of agricultural instructors to the increase in coffee production demonstrated heteroscedasticity, as indicated by the partial heteroscedasticity of the variables (Xâ‚). The findings of the t test for the Facilitator variable indicated that there was no significant impact of t_count and t_table, with 1.098 < 2.023 sig 0.298, on raising coffee production. There is no correlation between the innovator variable's t_count and t_table values (1.649 < 2.023 sig 0.108) and increased coffee production. Coffee production can be increased by the motivator variables that showed t_count and t_table values of 20.562 > 2.023 sig 0.000. Based on the F test's findings, there was no correlation between the Communicator variable's t_count and t_table values (-0.415 < 2.023 sig 0.681) and increased coffee production. While F_table 0.05, F_count = 469.275 > F_table 4.113 sig 0.000. Since the error rate α=5% is significantly impacted by the independent variable. It followed that the variables Xâ‚, Xâ‚‚, X₃, and Xâ‚„ all simultaneously affect variable Y since H0 is rejected and Ha is approved.

Keywords: Coffee, Role of Agricultural Instructor, Increasing, Production.