分析产品质量控制和生产过程对产品生产力提高的影响

I. Putra
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引用次数: 0

摘要

本研究的目的是分析产品质量控制和生产过程控制对东爪哇泗水一家制药公司提高产品生产率的影响。本研究的研究设计采用定量关联法,即研究的目的是确定自变量对因变量的影响或关系。本研究的数据收集技术是通过对生产过程的观察,研究中使用的人群是公司拥有的生产机器,而本研究中使用的样本是30个生产批次,这些生产批次已经控制了产品质量和生产过程的控制。本研究的数据分析使用SPSS软件进行假设检验,包括决定系数检验(r方)和偏t检验。根据在第一个假设(H1)中进行的数据分析结果,即产品质量控制对提高产品生产率具有积极而显著的影响,t-count值大于t-table值,t-count值为1701,从而检验了第二个假设(H2),即生产过程控制对提高产品生产率具有积极而显著的影响。t-count值为13640大于t-table值1701,说明产品质量控制和生产过程控制对提高产品生产率有正向显著的作用,而得到的r平方值为0.818,说明变量产品质量控制和生产过程控制对提高产品生产率的作用为81.80%,其余18.20%受其他变量的影响。
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Analisis Pengaruh Pengendalian Kualitas Produk dan Pengendalian Proses Produksi Terhadap Peningkatan Produktivitas Produk
The purpose of this study was to analyze the influence of product quality control and production process control on increasing product productivity at a pharmaceutical company in Surabaya, East Java. The research design used in this study uses the quantitative associative method, namely the research conducted aims to determine the effect or relationship between the independent variables on the dependent variable. The data collection technique carried out in this study was through observation of the production process carried out with the population used in the study, namely production machines owned by the company while the sample used in this study was 30 production batches that had been controlled for product quality and control of the production process. Data analysis in this study used SPSS software by conducting hypothesis testing which consisted of a coefficient of determination test (R-square) and a partial t test. Based on the results of the data analysis that has been carried out in the first hypothesis (H1), which states that product quality control has a positive and significant effect on increasing product productivity, the t-count value is 14,685 greater than the t-table value, which is 1,701, testing the second hypothesis (H2) which states that control of the production process has a positive and significant effect on increasing product productivity, the t-count value of 13,640 is greater than the t-table value of 1,701, which means that product quality control and production process control have a positive and significant effect on increasing product productivity, while the value The R-square obtained was 0.818 which stated that the variable product quality control and production process control had an effect on increasing product productivity by 81.80% and the remaining 18.20% was influenced by other variables.
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