Regression Model on Pagaralam Coffee Farmers’ Income With the Influence of the Use of Herbicide Reductant Variable

Abstract

The existence of weeds in coffee fields will become competitors for coffee plants, so that they can be economically and ecologically detrimental. Inappropriate use of chemical herbicides can have a negative impact. Herbicide reductants made from organic are used in weed control. This study aims to analyze the variables that affect the net income of Pagaralam coffee farmers using multiple linear regression analysis. One of these variables is a qualitative variable in the form of categories of respondents based on the use of herbicide reductants. The data used was obtained from the results of questionnaires on 56 respondents who are users and 80 respondents who are not users of herbicide reductants. The results of the hypothesis test of mean difference found that the net income of the two respondent categories is not different. The regression analysis also resulted that there was no significant difference in net income between the two respondent categories. Variables that had a significant effect on net income included gross income, farming maintenance costs, estimated yields, and tree age. Several models also contain variables of land area, length of time in coffee farming, number of trees, and frequency of organic fertilizers used. Old coffee trees should be treated better with the use of organic fertilizers and also wise weed control techniques.

Correspondence Analysis to Know Factors Related to the Use of Reducant Herbicide on Pagaralam Coffee Farmers

“…There was a relationship between the respondent's category and every category variable, including education, land conditions, frequency of herbicide use, number of workers, and length of harvest period. However, by using a multiple regression model, it was found that the factor of the use of reductant herbicide had no significant effect on the net income of coffee farmers [27].…”

Logistic Regression Modeling of Reductant Herbicide in Pagaralam Coffee Farming

“…The enter method is carried out by entering all the independent variables, then evaluating which independent variables have a significant effect on the dependent variable. Meanwhile, the stepwise method is carried out by selecting automatically only the independent variables that affect the dependent variable [23]. The stepwise method is a method in regression analysis that helps the analysis process to get the best model [44].…”

“…They realized the importance of using reductants to minimize the negative effects of using herbicides. The age of the trees and the average planting area per 1 tree were 2 of the 4 factors that distinguish the character of the 2 categories of respondents as users and not users of reductant herbicides [23]. Using the multiple regression model, the qualitative variable in the form of herbicide use did not have a significant effect on the net income of respondents [24].…”

“…The age of the trees and the average planting area per 1 tree were 2 of the 4 factors that distinguish the character of the 2 categories of respondents as users and not users of reductant herbicides [23]. Using the multiple regression model, the qualitative variable in the form of herbicide use did not have a significant effect on the net income of respondents [24]. Education, age of tree, and length of harvest period were some factors that dominantly characterize the dissimilarity in comparison between the categories of non-users and users [25].…”

Application of Two Groups Analysis and Cluster Analysis on Comparison of Characteristics of Pagaralam Coffee Farmers Categories

“…This study used data from 136 respondents of Pagaralam coffee farmers with 21 variables, including production and income variables. Variables that have a significant effect on net income are gross income, land maintenance costs, estimated yields, and tree age [25]. Furthermore, multivariate analysis is needed to determine the interdependence among the variables studied, including using cluster analysis and also two groups analysis.…”