PENGARUH UPAH DAN MOTIVASI KERJA TERHADAP PRODUKTIVITAS KERJA DI PT KUSUMATEX

This research aimed to find out: 1) Whether or not there is an effect of wage on work productivity in the workers of PT. Kusumatex, 2) Whether or not there is an effect of work motivation on work productivity in the workers of PT. Kusumatex, and 3) Whether or not there is an effect of wage and work motivation on work productivity in the workers of PT. Kusumatex. This study was a quantitative research with a multiple linear regression model use to test the hypothesis proposed. The population of research was the workers in production division of PT. Kusumatex with 125 respondents being the sample. The sampling technique used was random sampling. Considering the result of research, it could be found the coefficient regression Ῠ = 48.627 + 0.355X1 + 0.207X2. From the result of hypothesis testing, it could be found rstatistic > rtable (0.657 > 0.176) so that the first hypothesis stating that “There is a positive relationship between wage and work productivity in PT. Kusumatex” was supported. From the result of hypothesis testing, it could also be found rstatistic > rtable (0.477 > 0.176), so that the second hypothesis stating that “There is a positive relationship between work motivation and work productivity in PT. Kusumatex” was supported. From the result of F test, it could be seen Wage and Work Motivation variables simultaneously affected the Work Productivity in PT. Kusumatex with Fstatistic value = 63.054 and a= 0.000. Keywords: Wage, Work Motivation, Intrinsic, Work Productivit

Steady states of the denitrification network under different environmental conditions.

<p>The first condition (low <i>O</i>₂, low <i>PO</i>₄ and high <i>NO</i>₃) corresponds to the perfect condition for denitrification and the second condition (low <i>O</i>₂, high <i>PO</i>₄ and high <i>NO</i>₃) corresponds to the denitrification condition disrupted by <i>PO</i>₄ availability. The remaining conditions can be labeled as aerobic conditions.</p

Denitrification regulatory network of <i>P. aeruginosa</i>.

<p>Green solid arrows indicate upregulation and red dashed arrows indicate downregulation. Model components are PhoPQ, PmrA, Anr, NarXL, Dnr, NirQ, <i>nar</i>, <i>nir</i>, <i>nor</i>, <i>nos</i>, <i>NO</i>₂, <i>NO</i>, <i>N</i>₂<i>O</i>, and <i>N</i>₂. Our interest lies in perturbation of the external parameters (<i>O</i>₂, <i>PO</i>₄, <i>NO</i>₃) and their effect on the long-term behavior of the network.</p

Biological interpretation of the steady states of the system under different environmental conditions.

<p>Biological interpretation of the steady states of the system under different environmental conditions.</p

Nitrous oxide concentration in <i>P. aeruginosa</i> cultures grown in glucose minimal medium at varying phosphate concentrations, normalized to 10⁸ cells.

<p>Nitrous oxide concentration in <i>P. aeruginosa</i> cultures grown in glucose minimal medium at varying phosphate concentrations, normalized to 10⁸ cells.</p

Summary of the model variables, their discretization, update rules and supportive argument.

<p>The update rules with an asterix (*) means this update rule is very close to the biological correspondence but not quite. The transition tables of the variables having update rules with an asterix (*) can be found in the Supplementary material.</p

Additional file 1 of Identification of control targets in Boolean molecular network models via computational algebra

Supporting material for: Identification of control targets in Boolean molecular network models via computational algebra. (PDF 214 KB

Summary of gene expression changes.

<p>Number of genes that have changed expression level compared with the control at <i>t</i> = 0 in control (squares) and CHP-treated cultures (triangles). Note that after <i>t</i> = 20 min the controls indicate that something drastic is happening in the cultures. Only data from samples to the left of the vertical line (<i>t</i> ≤ 20 min) were used in subsequent analysis.</p

Dynamics of expression of the genes encoding proteins from the yeast YAP family in response to cumene hydroperoxide.

<p>The members of the YAP family are bZIP proteins [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0074939#B11" target="_blank">11</a>] with transcription factor activity. The ordinate is in a scale of unit standard deviation. <i>YAP3</i>, <i>YAP5</i>, and <i>YAP7</i> are for the first time observed here to be induced by oxidative stress.</p

Dynamics of the transcriptional response of genes involved in the glutathione and thioredoxin systems.

<p>Columns A, B, C and D show groups of genes with different kinetics. The abscissa is in a scale of min, the ordinate in a scale of absolute value of gene expression (i.e. result of the RMA analysis transformed back to linear scale). Values plotted are medians of three biological replicates; error bars represent the standard deviations.</p