Socialization of sustainable Pagar Alam Coffee Farming using herbicide reductors

Irmeilyana, Irmeilyana; Ngudiantoro, Ngudiantoro; Maiyanti, Sri Indra

doi:10.26905/abdimas.v7i2.6372

Cited by 3 publications

(3 citation statements)

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“…Weed control must be adapted to land conditions and weed types [19]. In [20], through education from several parties, coffee farmers in Rimba Candi Village feel the impact of the importance of using reductants in coffee fields.…”

Section: Introductionmentioning

confidence: 99%

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

Irmeilyana

Ngudiantoro

Maiyanti

2023

BAREKENG: J. Math. & App.

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Land care is one of the factors that must be considered in the sustainability of coffee production. A small number of Pagaralam coffee farmers know and apply reductant herbicide in weed control. This study aims to compare the characteristics of Pagaralam coffee farmers based on the use of reductant herbicide by using two groups analysis and cluster analysis. The characteristics of the farmers studied included 17 variables on 165 respondents who were selected by purposive sampling. The variables studied include land productivity and farmers' income. Respondents were divided into 2 categories, namely users and non-users of reductant herbicide. The initial stages of data processing in the form of descriptive statistics, hypothesis testing by mean difference test, correlation between variables, Principal Component Analysis, and biplot analysis. According to the results of the two groups analysis and cluster analysis, the variables dominantly tend to characterize the similarity in comparison between the categories of non-users and users are the variables that join into one cluster, namely land area, number of trees, coffee bean production, estimated yield, total harvest, Gross income, and Net income. While the variables that dominantly characterize the dissimilarity between the two categories are the variables that form 5 separate clusters, namely the clusters of plantation productivity, respondent identity, education, tree age, and length of harvest period.

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Section: Introductionmentioning

confidence: 99%

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

Irmeilyana

Ngudiantoro

Maiyanti

2023

BAREKENG: J. Math. & App.

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“…According to [22], education for farmers in Rimba Candi Village, Pagaralam Municipality, could influence the mindset of farmers in caring for coffee plants, including weed control. They realized the importance of using reductants to minimize the negative effects of using herbicides.…”

Section: Introductionmentioning

confidence: 99%

Logistic Regression Modeling of Reductant Herbicide in Pagaralam Coffee Farming

Irmeilyana,

Ngudiantoro,

Maiyanti

et al. 2023

BAREKENG: J. Math. & App.

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The presence of weeds can affect the productivity of coffee plants. The use of herbicides that are not wise in controlling weeds can have a negative impact on the quality of coffee production and land. This study aims to obtain a binary logistic regression model of the use of reductant herbicides by coffee farmers in Pagaralam South Sumatera. This research involved 165 coffee farmers, consisting of 81 farmers who used reductants and 85 farmers who did not use reductants. In the results of bivariate analysis, variables that have a significant effect on the status of using reductant herbicides, do not necessarily have a significant effect on the logistic regression model. Overall prediction accuracy of the model results of the enter method and backward method are respectively 78.2% and 76.4%. The two best models obtained show that farmer age, number of trees, number of family workers, and land productivity can reduce the probability value of farmers using reductant herbicide. On the other hand, variables that can increase the opportunity value of using reductants, starting with the greatest effect, are net income, length of harvest, frequency of herbicide use, frequency of use of organic fertilizers, and age of trees. Based on the factors that affect the use of reductants, coffee farmers should set aside costs for land maintenance, including costs for environmentally friendly weed control, so that they can support the coffee plants to continue producing optimally.

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“…Of course, this requires intensive care in the form of appropriate fertilization, rejuvenation, pruning of twigs, and weed control. Education on land care issues is very important, as in [10] - [14]. Farmers must also pay attention to the importance of shade trees with optimal numbers and according to their needs.…”

Section: Introductionmentioning

confidence: 99%

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

Irmeilyana

Ngudiantoro

Maiyanti

et al. 2022

Pattimura Int. J. Math.

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Weed control is an attempt to care for agricultural land that can affect coffee production. This study aims to analyze the factors that have a relationship with the use of reductant herbicide in Pagaralam coffee farmers by using simple correspondence analysis. The research data included 19 variables and 3 categories of respondents based on the use of reductant herbicide, namely non-users, new users, and users. At the initial stage, each variable was carried out a mean difference test between 2 categories of respondents. Furthermore, each variable is divided into several categories. Then, by using the independence test, the categories of each variable are associated with the category of reductant use. There are 7 factors that have a relationship with the use of reductants, namely education of respondents, age of trees, length of harvest, frequency of herbicide use, frequency of chemical fertilizers used, frequency of organic fertilizers used, and number of labour outside the family (TL). The results of the correspondence analysis plot can show differences in the characteristics of the respondent's categories according to the use of reductant herbicide. The user category is dominantly characterized by having junior high school education, tree age more than 25 years, tend not to use organic fertilizer, and the harvest period can reach 3 months.

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Socialization of sustainable Pagar Alam Coffee Farming using herbicide reductors

Cited by 3 publications

References 0 publications

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

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

Logistic Regression Modeling of Reductant Herbicide in Pagaralam Coffee Farming

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

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