The Effect of Selection and Training on Employee Performance of Ptpn Iii Giting Nest Gardens

ABSTRACT


INTRODUCTION
Every organization, both business oriented and socially oriented, is required to provide high employee performance for the development of the organization or company.To obtain high employee performance, the company must have quality Human Resources (HR), with the aim of being able to compete and be able to sustain the company through existing changes.One of the strategies that can be used by companies to face this challenge requires employees who have the ability or expertise and experience in their field of work.
Selection is basically aimed at getting workers who meet the requirements and have qualifications in accordance with the existing job descriptions.In addition, employee performance needs to be considered because an increase in employee performance will bring progress for the company to survive in an unstable business environment competition.Employee performance must The validity test aims to determine the accuracy of the questionnaire which means that the questionnaire is able to measure what is actually being measured.This is done by looking for the correlation of each statement item with the total score of the statement for the respondent's answer.To determine the validity of each statement item in the research instrument, it can be seen through the calculated r column and r table.If the calculated r value is greater than r table then the statement is declared valid.The value of r table at α = 0.05 with degrees of freedom df = n-2 = 54 in the two-way test is 0.2632.Based on the table 1 above, it can be seen that the test of the selection variable has a value greater than r table.If the calculated r value is greater than r table then the statement is declared valid.The value of r table at α 0.05 with degrees of freedom df = n -2 = 54 in the two-way test is 0.2632.Thus it can be concluded that all statements from the selection used are valid and can be used in research.Based on the table 4.40 above, it is found that the test of the performance variable has a value greater than the r table.If the calculated r value is greater than r table then the statement is declared valid.The value of r table at α 0.05 with degrees of freedom df = n -2 = 54 in the two-way test is 0.2632.Thus it can be concluded that all statements of performance used are valid and can be used in research.

Reliability Test
A questionnaire is said to be reliable or reliable if a person's answer to a question or statement is consistent or stable over time.Questionnaire items are said to be feasible if Cronbach alpha > 0.60 and it is said to be inadequate if Cronbach alpha <0.60.

a. Training Reliability (X2)
Based on the table above, it is found that the results of the calculation of the reliability test show that cronbach's alpha in the training variable is 0.722 greater than 0.60 so that it can be concluded that the training variable research instrument can be declared reliable and feasible to be used as a variable in the measurement of this study because the reliable coefficient is greater than 0.60.

b. Performance Reliability Test(Y)
Based on the table 4.43 above, it is found that the results of the calculation of the reliability test show that Cronbach's alpha in the performance variable is 0.798 greater than 0.60 so that it can be concluded that the performance variable research instrument can be declared reliable and feasible to be used as a variable in the measurement of this study because the reliable coefficient is greater than 0.60.

c. Normality Test
The normality test is carried out to find out whether a data can be said to be normally distributed or not.If the points or data are near or follow the diagonal line, it can be said that the residual value is normal.Meanwhile, if the points move away or scatter and do not follow the diagonal line, this indicates that the residual value is not normally distributed.Based on Figure 1 above, it can be seen that the plot points in the image always follow and approach the diagonal line.So it can be concluded that the normality assumption for the residual value in the simple linear regression analysis in this study can be fulfilled.

Pembahasan 1. Multiple Simple Linear Regression Analysis
This test aims to test the influence of the independent variables on the dependent variable.The simple linear regression equation used is as follows: Y = a + bX

CONCLUSION
Based on the results of research that has been conducted to determine how the effect of selection and training on employee performance, it can be concluded: The t value obtained by the selection variable is 2.580 and the training is 2.025 greater than the t table value, namely 2.004 with a significance of 0.000 <0.05.Making selection and training have a positive and significant effect on the performance of employees of PTPN III Kebun Sarang Giting.The calculated F value is 5.176 with a sig level of 0.000, therefore the sig value is 0.000> 0.05 and the calculated F value> F table is 5.176> 4.020, this shows that the independent variables X1 and X2 simultaneously have a positive and significant effect on the dependent variable Y The R value of 0.775 means that the relationship between selection (X1) and training (X2) on performance (Y) is 77.5%, meaning that there is a high relationship between variables.The value of R Square is 0.676, this means that 67.6% of employee performance (Y) can be influenced by the selection (X1) and training (X2) variables.While the remaining 32.4% is influenced by other variables not included in this study.

Table 2 .
Tabulation of Training Variable Data (X2) 1 + bX 2 + e 2. Multiple Linear Regression Analysis of Selection (X1 ) and Training (X2 ) on Performance (Y) This test aims to test how much influence the independent variable, namely selection (X 1 ) and training (X2 ), on the dependent variable, namely attendance (Y1 ).The results of the simple linear regression analysis in this study can be seen in table as follows: Based on the regression output, the multiple linear regression analysis model used in this study can be formulated as follows: Y = 11,270 + 0.121X1 + 0.386 X2 + e From the regression equation it can be concluded: a.The value of the constant (a) is 11,270 .This means that if the Variable Value of Selection (X1 ), and Training (X2 ), the value is 0, then the value of performance is 11,270.b.The regression coefficient value of Selection (X1 ) is positive and the training coefficient value (X2 ) is 0 , 121 and 0.386 .This means that if there is an increase in Selection (X1 ) and Training (X2 ) by 1%, then Selection and Training will increase by 0,121 and 0.386 assuming other variables are constant.Thus it can be said that the selection (X1 ) and training (X2 ) have a positive effect on the performance (Y) of employees of PTPN III Kebun Sarang Giting.Based on the results of data processing above the t value obtained by the selection variable (X1 ) is 2.580 and training (X2 ) is 2.025 where the t value is greater than the t table value, which is 2.004.The table above also shows a sig value of 0.00 where the significance value is smaller than 0.05.So it can be concluded that selection (X1 ) and training (X2 ) have a significant effect on performance (Y).