APPLICATION OF TWO GROUPS ANALYSIS AND CLUSTER ANALYSIS ON COMPARISON OF CHARACTERISTICS OF PAGARALAM COFFEE FARMERS CATEGORIES

  • Irmeilyana Irmeilyana Department of Mathematics, Faculty of Mathematics and Natural Science, University of Sriwijaya, Indonesia https://orcid.org/0000-0002-2970-3338
  • Ngudiantoro Ngudiantoro Department of Mathematics, Faculty of Mathematics and Natural Science, University of Sriwijaya, Indonesia
  • Sri Indra Maiyanti Department of Mathematics, Faculty of Mathematics and Natural Science, University of Sriwijaya, Indonesia
DOI: https://doi.org/10.30598/barekengvol17iss1pp0101-0112
Keywords: land productivity, Pagaralam coffee, cluster analysis, groups analysis, reductant herbicide

Abstract

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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Published
2023-04-15
How to Cite
[1]
I. Irmeilyana, N. Ngudiantoro, and S. Maiyanti, “APPLICATION OF TWO GROUPS ANALYSIS AND CLUSTER ANALYSIS ON COMPARISON OF CHARACTERISTICS OF PAGARALAM COFFEE FARMERS CATEGORIES”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0101-0112, Apr. 2023.
Issue
Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Section
Articles

Copyright (c) 2023 Irmeilyana Irmeilyana, Ngudiantoro Ngudiantoro, Sri Indra Maiyanti

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