Research Article
Comparison of Graphical Representation of Simple and Multiple Correspondence Analysis Results on the Category of Factors Related to Farmers Status in Using Reductant Herbicide
@INPROCEEDINGS{10.4108/eai.3-11-2023.2347775, author={Irmeilyana Irmeilyana and Bambang Suprihatin and Anita Desiani and Oki Dwipurwani and Nisa Nur Aisyah}, title={Comparison of Graphical Representation of Simple and Multiple Correspondence Analysis Results on the Category of Factors Related to Farmers Status in Using Reductant Herbicide}, proceedings={Proceedings of the 3rd Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2023, November 3, 2023, Palembang, Indonesia}, publisher={EAI}, proceedings_a={SICBAS}, year={2024}, month={8}, keywords={coffee production graphical representation multiple correspondence analysis reductant herbicide coffee farmers}, doi={10.4108/eai.3-11-2023.2347775} }- Irmeilyana Irmeilyana
Bambang Suprihatin
Anita Desiani
Oki Dwipurwani
Nisa Nur Aisyah
Year: 2024
Comparison of Graphical Representation of Simple and Multiple Correspondence Analysis Results on the Category of Factors Related to Farmers Status in Using Reductant Herbicide
SICBAS
EAI
DOI: 10.4108/eai.3-11-2023.2347775
Abstract
Reductants are used to reduce herbicide use on weed control. Based on the results of Simple Correspondence Analysis (SCA) in previous studies, factors that significantly influence the use of reductants include farmer education, tree age, number of workers outside the family, length of harvest, frequency of herbicide use, frequency of the use of chemical fertilizer and organic fertilizer. Multiple correspondence analysis (MCA) can map both variables and individuals in complex visual map constructions, so that they can interpret the structures in data and patterns of relationship distinctively between variables. This study aims to graphically represent the factors associated with the status of farmers as users or non-users of reductant herbicides using multiple correspondence analysis (MCA). The similarity of SCA and MCA results lies in coordinate points position for the user and the new user to all education categories points, and also to points of all tree age categories except for Age 1. Meanwhile, on the coordinate points position of frequency of use of chemical fertilizers and organic fertilizers categories, there is no similarity in the results of the graphs of the two analyzes.