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THE ECONOMY EFFICIENCY IN WOOD FURNITURE INDUSTRY AT GAMEL VILLAGE, IN PLERED SUB DISTRICT, IN CIREBON REGENCY
Abstrak (Bhs. Indonesia)
This study entitled "The Economic Efficiency of Wood Furniture Industry at Gamel Village,in Plered Sub District, in Cirebon Regency". This research was conducted with the primary data analysis method. Data were obtained from interviews and distributing questionnaires. The calculation used TR = (Pi x Qi), Profit = TR-TC. To determine the influence variables were using Multiple Linear Regression, Test Assumptions Classical (Normality Test, Multicolinearity Test, Heteroscedasticity Test, and Autocorrelation Test), coefficient of determination R2 test, F test and t-test. While to determine the economic efficiency analysis was using R/C. The result indicates that the benefits of the business at the time of production last June 2012 which received wood furniture craftsman was Rp. 11,689,392.47. Based on multiple regression analysis results can be known variable of capital, raw materials, and labor were simultaneously influencing the business Profit of wood furniture industry, while the variables that significantly influence the business Profit partially were raw material and labor, while capital did not significantly influence on the business Profit. Based on the results of multiple regression analysis can be known that raw material was the most influential variable. The average efficiency for wooden furniture craftsman was 2.11, which means that the wood furniture industry in Gamel Village > 1. It shows that businesses are efficient and profitable.
Abtrak (Bhs. Inggris)
This study entitled "The Economic Efficiency of Wood Furniture Industry at Gamel Village,in Plered Sub District, in Cirebon Regency". This research was conducted with the primary data analysis method. Data were obtained from interviews and distributing questionnaires. The calculation used TR = (Pi x Qi), Profit = TR-TC. To determine the influence variables were using Multiple Linear Regression, Test Assumptions Classical (Normality Test, Multicolinearity Test, Heteroscedasticity Test, and Autocorrelation Test), coefficient of determination R2 test, F test and t-test. While to determine the economic efficiency analysis was using R/C. The result indicates that the benefits of the business at the time of production last June 2012 which received wood furniture craftsman was Rp. 11,689,392.47. Based on multiple regression analysis results can be known variable of capital, raw materials, and labor were simultaneously influencing the business Profit of wood furniture industry, while the variables that significantly influence the business Profit partially were raw material and labor, while capital did not significantly influence on the business Profit. Based on the results of multiple regression analysis can be known that raw material was the most influential variable. The average efficiency for wooden furniture craftsman was 2.11, which means that the wood furniture industry in Gamel Village > 1. It shows that businesses are efficient and profitable.
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