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Abstract

The purposes of this study were to develop a template to reduce errors and time needed to classify plantations in Indonesia; and to analyze the correlation between the profit of the firm and plantation performance level. This study uses dBase IV to develop the descriptive classification template and quantitative statistics (Discriminant Analysis) to evaluate the relationship between a firm's/classification and profits. Data used were obtained from the Directorate General of Estate Crops, ~Indonesian Ministry of Agriculture in 1992. The study found that processing the plantation classification data using the template increases data processing accuracy and is about 9 time faster than when classification is done manually. The study also found that several factors influence the profitability of the firm. The variable, knowledge of the leader, makes the highest share contribution to a firm's profit. Finally, this study recommends that the Directorate General of Estate Crops should review the weights currently assigned to variable in determining the plantation performance and use the template for processing the classification data in order to reduce data processing bias and the time required to classify plantations.

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