PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD

Productivity measurement in a company is very important. The measurement can be used to analyze the contribution level of company's production factors in order to generate the company's added value. By using the data from productivity measurement, the company can formulate a series of prop...

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Main Author: PANDU SASMITA (NIM : 29108029); Pembimbing: Dr. Ir. Mursyid Hasan Basri, SISWOYO
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/17246
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Institution: Institut Teknologi Bandung
Language: Indonesia
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spelling id-itb.:172462017-09-27T15:30:54ZPRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD PANDU SASMITA (NIM : 29108029); Pembimbing: Dr. Ir. Mursyid Hasan Basri, SISWOYO Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/17246 Productivity measurement in a company is very important. The measurement can be used to analyze the contribution level of company's production factors in order to generate the company's added value. By using the data from productivity measurement, the company can formulate a series of proper policies to reach optimal growth by maximizing the company's production factors. <br /> <br /> <br /> In this final project research, productivity growth in UD.Bimara, which is a waste recycle company, is measured. The productivity growth in UD.Bimara measured by total factor productivity (TFP) method. <br /> <br /> <br /> This method measured the productivity growth by using labor and capital factor as inputs and added value as output. Income statement and labor database in 2002-2009 periods are used for this research. Based on the analysis, the calculated data of TFP result that the improvement of labor number can't be maximized to improve company productivity growth. Next step is using the data of TFP result to make a linier regression equation model. In this process, special factor that influence productivity growth of company is decided. The series of statistic test is used to verify the feasibility of these factors to become variables of linier regression equation. From the series of statistic tests, it can be decided that special factor that can be used for linier regression variables are unskilled workers, skilled workers, and account receivables for suppliers. The data of linier regression equation can be used to analyze the contribution of these special factors in company productivity growth. <br /> <br /> <br /> The analysis of linier regression equation showed that the growth of unskilled workers and account receivables for suppliers can’t be maximized to improve company productivity growth. The proposed solution for this problem is to increase the number of human resource officer to be placed in every factory and make an account receivable department in the company. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Productivity measurement in a company is very important. The measurement can be used to analyze the contribution level of company's production factors in order to generate the company's added value. By using the data from productivity measurement, the company can formulate a series of proper policies to reach optimal growth by maximizing the company's production factors. <br /> <br /> <br /> In this final project research, productivity growth in UD.Bimara, which is a waste recycle company, is measured. The productivity growth in UD.Bimara measured by total factor productivity (TFP) method. <br /> <br /> <br /> This method measured the productivity growth by using labor and capital factor as inputs and added value as output. Income statement and labor database in 2002-2009 periods are used for this research. Based on the analysis, the calculated data of TFP result that the improvement of labor number can't be maximized to improve company productivity growth. Next step is using the data of TFP result to make a linier regression equation model. In this process, special factor that influence productivity growth of company is decided. The series of statistic test is used to verify the feasibility of these factors to become variables of linier regression equation. From the series of statistic tests, it can be decided that special factor that can be used for linier regression variables are unskilled workers, skilled workers, and account receivables for suppliers. The data of linier regression equation can be used to analyze the contribution of these special factors in company productivity growth. <br /> <br /> <br /> The analysis of linier regression equation showed that the growth of unskilled workers and account receivables for suppliers can’t be maximized to improve company productivity growth. The proposed solution for this problem is to increase the number of human resource officer to be placed in every factory and make an account receivable department in the company.
format Theses
author PANDU SASMITA (NIM : 29108029); Pembimbing: Dr. Ir. Mursyid Hasan Basri, SISWOYO
spellingShingle PANDU SASMITA (NIM : 29108029); Pembimbing: Dr. Ir. Mursyid Hasan Basri, SISWOYO
PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD
author_facet PANDU SASMITA (NIM : 29108029); Pembimbing: Dr. Ir. Mursyid Hasan Basri, SISWOYO
author_sort PANDU SASMITA (NIM : 29108029); Pembimbing: Dr. Ir. Mursyid Hasan Basri, SISWOYO
title PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD
title_short PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD
title_full PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD
title_fullStr PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD
title_full_unstemmed PRODUCTIVITY MEASUREMENT IN UD. BIMARA USING TOTAL FACTOR PRODUCTIVITY METHOD
title_sort productivity measurement in ud. bimara using total factor productivity method
url https://digilib.itb.ac.id/gdl/view/17246
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