The Effect of
Physical Work Environment, Work Discipline, and Financial Compensation on the
Performance of Employees of the National Archives of the Republic of Indonesia
Rayhan Fernanda1, Ahmad Cik2,
Kumba Digdowiseiso3*
1,2,3* Faculty of Economics and
Business, National University of Jakarta, Indonesia
Email:
1[email protected], 2[email protected], 3*[email protected]
This
research is used to determine the presence or absence of a physical work
environment, work discipline and financial compensation for the performance of
employees of the National Archives of the Republic of Indonesia. By taking into
account the level of control of human resources (HR), an agency is expected and
makes a major contribution in improving employee performance. This view also
uses primary data. The data collection technique used was to use questionnaires
received by distributing questionnaires through google form to 104 employees of
the National Archives. The information analysis approach used in this review is
multiple linear regression evaluation, which is operated through the SPSS 23 application. Based on the results of this
study shows that the variables of physical work environment, work discipline
and financial compensation have a significant effect on employee�s performance. That's it partially physical work environment variables have a significant effect on employee performance. That the
variable of work discipline has a dominant effect on employee performance. And
the variable of financial compensation has a significant positive effect on the
performance of employees of the National Archives of the Republic of Indonesia.
Keywords: Physical Work Environment, Work discipline, and Financial
Compensation, Employee Performance.
Human resources are a combination of mental
and physical strengths that people have. The most important factor in the
development of an agency to achieve its vision and mission requires human
resources who have high quality performance so that they have a positive impact
on the survival of the agency. This is supported by the view (Samsuni, 2017)
that human resources are productive people who function as organizational
engines, both in institutions and businesses because they function as assets
and their skills must be developed. According to (Awaloedin et al., 2020) the
most important step in achieving a goal is to start with what most facilitates
achieving that goal, namely human resources.
Role important source Power man very decisive an agency to lead to
success. The success or failure of an agency in carrying out various activities activity
for reach objective agency supported with performance good employee. In order for
organizational goals to be achieved as expected, agencies must utilize human
resources effectively and efficiently. Increasing employee performance is a
demand if the organization wants to progress further. Research (Rastana et al.,
2021) states that Performance is the amount and quality of
individual or group contributions to the main tasks and functions of an
organization as determined by standards, SOPs, criteria and metrics that have
been established or are applicable within the organization.
Consistency
of employee performance is something that has a big influence on success a agency. Results
performance employee which have skill high
levels of work and loyalty in carrying out their duties will have an influence
in achieving the agency's goals. The results of this employee's performance can
be seen from aspects quality, quantity,
time Work, and Work the same
for reach objective which are already set by agency. By Because That agency can increase employee performance through implementing
a comfortable physical work environment, managing time for work discipline and
providing fair financial compensation according to (Rizqy & Ngatno, 2016).
In
research (Silaen et al., 2020) the most popular way to assess and reward
performance is performance appraisal. Performance reviews are conducted to help
coworkers and managers better understand each other and to inform staff about
what is expected of them. Apart from that, several studies discuss factors that
influence employee performance, such as research conducted by (Rahayu &
Rushadiyati, 2021)
According
to (Awaloedin et al., 2020) the physical work environment is the environment
where employees carry out their daily work. A conducive work environment
provides a sense of security and allows employees to work optimally. Emphasizing the physical work environment
is something that includes light, air color and sound. According to (Rastana et
al., 2021) human life cannot be separated from various conditions in the
surrounding environment, there is a very close relationship between humans and
the environment. Meanwhile (Rahayu & Rushadiyati, 2021) define environment Work is all something that concerns facet physique and facet psychic
which in a way direct
nor No will directly affect employees.
An
encouraging physical work environment is one that can motivate employees to
give their best. The term "physical work environment" refers
on environment social
and psychological aspect from arrangement work that is influenced by a number
variable, like quality
physique place Work,
organizational structure, policies, and employee behavior. This is in
accordance with the statement made by (Tanjung, Nurcahyani, Hasibuan, et al.,
2021) namely that the environment physical
work Which Good one of them is improving production and employee performance which will ultimately increase
organizational effectiveness and can reduce cost Which issued by agency. With thus, the environment Work physique Which
Good will increase
performance employee, in accordance with research conducted by (Tanjung, Nurcahyani, Hasibuan, et
al., 2021) stating that the physical work environment has a positive influence
on employee performance.
The
second factor that can influence employee performance is work discipline.
According to (Rizqy & Ngatno, 2016), this shows that discipline is a
person's awareness and willingness to obey all agency regulations and
applicable social norms. According to (Nurjaya, 2021), discipline is a
management activity to implement organizational standards. (Awaloedin et al.,
2020) stated that work discipline is a form of respect, respect, compliance and
obedience to the regulations that apply in the organization, both written and
unwritten and being able to carry out and not avoid sanctions if employees
commit violations. . Good discipline reflects a person's sense of
responsibility to tasks which given to
her, Also give positive and
significant influence on performance as stated (Rastana et al., 2021)
Apart
from the work environment and work discipline, there is a final factor that can
influence performance employee
that is compensation. Compensation according to (Tanjung,
Nurcahyani, Hasibuan, et al., 2021) are awards or rewards directly or indirectly, financial or non-financial which given
in a way fair and worthy to employee, as reply or contribution/services towards
achieving agency goals. Compensation must be evaluated appropriately by each
organization, and the compensation paid must be in accordance with the
contribution the employee makes to the agency. Giving compensation Which No worth
it with business which imposed on employees will result in a
lazy attitude towards work, resulting in unsatisfactory work results and a
feeling of discomfort in the workplace. On the other hand, if compensation is proportional
to the workload, it will increase work awareness, loyalty, and produce a sense
of satisfaction at work. This is reinforced by research conducted by
(Dharmayasa & Adnyani,
2020) which state that variable
Partial financial compensation has a
significant effect on employee performance. This shows that enhancement performance employee compare straight
with the amount of financial
compensation they receive from their employer.
The
National Archives of the Republic of Indonesia (ANRI) is a government
institution non ministry
Which formed based on
Constitution No.7/1971
concerning the basic provisions of archives which was later amended into Law
No.43/2009 concerning archives in order to carry out government duties in the
field of archives in accordance with the provisions of the applicable laws and
regulations. The National Archives of the Republic of Indonesia has a very
important task in administering government today because the archives
themselves have function which
very vital as memory collective nation, besides That ANRI
also plays a role as the supervisor of national archives in accordance with
Article 8 Paragraph 1 of Law No. 43 of 2009. Through archives, the history of
the nation can be depicted from time to time. This collective memory is also
the identity and dignity of a nation. Academic awareness based on a moral
burden for save files as proof responsibility answer national at the same time as the nation's cultural
heritage, it can avoid the loss of historical information about a nation's
journey and its dignity as a cultured nation.
The
assessment regarding employee performance since 2020 and 2022 has experienced
increases and decreases, where this decrease is caused by aspects of the
performance of employees at the National Archives of the Republic of Indonesia
not being optimal, if left unchecked it will have a direct impact on the
agency. As in 2020 the average value only reached 83.75%. So realized
year 2021 mark average evaluation performance employees
reached 86.5% and in 2022 the average value will decrease, reaching 85%. Above
indicates that employee performance is still not optimal, because it has not
reached 100%.
This research aims to
analyze the influence of the Physical Work Environment, Work Discipline and
Financial Compensation on the performance of ANRI employees. It is hoped that
the results will contribute to the agency in improving these aspects to support
increased employee performance. In addition, this research can be a source of
scientific insight for the author, fulfill academic requirements, and provide
valuable information to readers regarding the influence of these factors on
ANRI employee performance.
RESULTS STUDY AND DISCUSSION
Analysis descriptive
ie For
know mark average total mean and grand total
mean For every variable. Variable
independent that is Physical Work Environment (X 1), Work Discipline (X 2), and Financial
Compensation (X 3), as well as the dependent variable, namely Employee Performance
(Y), each variable consisting of several statement items.
The
Validity Test is used to test the questionnaire items submitted for the
research instrument whether they are suitable for use or vice versa. The calculation is by
comparing the calculated r with r table . If the calculated
r has a greater
value than the table r where the correlation coefficient is more than
0.1927 then the overall The statement
is declared valid so it can be used in study This, the more
tall validity something
measurement tool will be show results
Which relevance. Based on the overall output results of the proposed
validity test using the SPSS 23 program as a calculation tool for the independent variable
Financial Compensation (X 3), it is declared valid, so all over statement from variable can used For
The next step .
b. Performance Employee (Y) is obtained as following
:
|
Variable |
R count |
R
table |
Information |
|
X1.1 |
0.525 |
0.1927 |
Valid |
|
X1.2 |
0.460 |
0.1927 |
Valid |
|
X1.3 |
0.513 |
0.1927 |
Valid |
|
X1.4 |
0.326 |
0.1927 |
Valid |
|
X1.5 |
0.269 |
0.1927 |
Valid |
|
X1.6 |
0.368 |
0.1927 |
Valid |
|
X1.7 |
0.479 |
0.1927 |
Valid |
|
X1.8 |
0.382 |
0.1927 |
Valid |
Source: Data Primary SPSS, processed
in 2023
Based
on the results of Table 1, it can be seen that all the questionnaires submitted
have a Corrected Item Total Correlation value that is greater than
the r table value in the sample. N 104th
that is as big as 0.1927
which means that overall
rcount greater than r table. From the output of
the validity test, the largest coefficient value for the Employee
Performance variable (Y) is obtained, there is the largest value in the third
statement, namely 0.485, while the value smallest there is
on statement to eight with mark of 0.263.
Based
on the overall output results of the proposed validity test using the SPSS 23 program
as a calculation tool for the independent variables Performance EmployeeS (Y), stated valid,
so that all statements of
variables can be used for the next stage.
Test reliability is test which used for determine further use or vice versa. An
instrument is said to be reliable if the reliability coefficient or Cronbach
Alpha coefficient exceeds the predetermined limit, namely 0.6. Reliability test results
are shown in table 2 as
follows:
|
No |
Variable |
Reliability |
Alpha |
Information |
|
1 |
Environment
Work Physique (X 1) |
0.716 |
0.6 |
Reliable |
|
2 |
Discipline Work (X 2) |
0.756 |
0.6 |
Reliable |
|
3 |
Compensation Financial (X 3) |
0.726 |
0.6 |
Reliable |
|
4 |
Performance
Employee (Y) |
0.669 |
0.6 |
Reliable |
Source: Data primary
SPSS 23, processed 2023
Through results
processing data Which done with program SPSS 23
as a calculation tool, in Table 2 above it can be seen that the total of item questionnaire from every variables Physical
Work Environment (X
1), Discipline Work (X 2), Compensation Financial (X 3), And performance Employee
(Y) on study This show results
reliable Which can seen on Cronbach's
value Alpha whole
variable own mark Which Good that
is above 0.6. So it can be interpreted that
the entire value of This research
variable is said to be good and acceptable.
The
classical assumption test is used based on four tests, namely, normality test,
multicollinearity test, heteroscedasticity test, and autocorrelation test with
a sample size of 104 respondents.
The
data normality test in this study used the Kolmogorov-Smirnov one sample test.
The normality test aims to test whether the regression model has a normal
distribution or vice versa, both dependent and independent variables. Data that
is good and suitable for use in research is data which has a normal distribution if levels its
significance > a = 0.05 And If on
the contrary < a = 0.05 then said No normal.
Following under This served table 3 which is
results test normalityin study this is as following:
|
One-Sample
Kolmogorov-Smirnov Test |
||
|
|
Unstandardized Residuals |
|
|
N |
|
104 |
|
Normal
Parameters a, b |
Mean |
.0000000 |
|
|
Std. Deviation |
1.93184201 |
|
Most Extreme Differences |
Absolute |
,061 |
|
|
Positive |
,038 |
|
|
Negative |
-
.061 |
|
Test Statistics |
|
,061 |
|
Asymp. Sig. (2- tailed) |
|
,200 c,d |
|
a. Test distribution is Normal. |
|
|
|
b.
Calculated from data. |
|
|
|
c. Lilliefors Significance Correction. |
||
|
d. This
is a lower bound
of the true
significance. |
||
Source: Output results SPSS 23, processed in 2023
The
results from Table 3 above show that the Asymp Sig. (2- tailed) is 0.200.
Which It means model
regression in study
This, Both the dependent and
independent variables have a normal sample distribution based on the
significance value > a = 0.05. So
it can be said that the distribution of Employee Performance results
originating from the Physical Work Environment, Work Discipline and Financial
Compensation is normally distributed at a significant level of a = 0.05.
Multicollinearity
test is used to check deviations from existing multicollinearity assumptions,
that is, if the value tolerance >
0.1 or VIF & It, so there is
connection linear or mark variance
factors (VIF) < 10, then accepting it is said that there is no
multicollinearity in the model which researched. For know is happen multicollinearity
of the results can be seen on table 4 as following:
|
Model |
Unstandardized
Coefficients |
Standardized Coefficients |
t |
Sig. |
Collinearity
Statistics |
|||
|
B |
Std. Error |
Beta |
Tolerance |
VIF |
||||
|
1 |
(Constant) |
6,821 |
2,589 |
|
2,634 |
,010 |
|
|
|
|
Total_X1 |
.122 |
,060 |
.135 |
2,041 |
,044 |
,921 |
1,086 |
|
|
Total_X2 |
,466 |
,070 |
,547 |
6,639 |
,000 |
,595 |
1,680 |
|
|
Total_X3 |
,209 |
,067 |
,264 |
3,105 |
,002 |
,559 |
1,787 |
a. Dependent
Variables: Total_Y
Source: SPSS
output 23, processed 2023
Based
on Table 4 on (Coefficients) can seen that Variance Inflation Factor (VIF) each variable independent own values as
follows:
a. Mark VIF for variable Environment Work Physique (X1) as
big as 1,086 < 10 and mark tolerance as big as 0.921 > 0.10.
b. The VIF value for the Work Discipline variable (X2) is 1.680 < 10 and the tolerance
value is 0.595 > 0.10.
c. The VIF value for the Financial Compensation variable (X3) is 1.787 < 10 and the tolerance
value is 0.559 > 0.10.
Therefore,
it can be concluded that multicollinearity does not occur in the regression
equation model and can be used in this research.
The
heteroscedasticity test aims to test whether a regression model appears when
the residual variance of one observation is not the same for other
observations. This is called homodispersity, or also called heteroscedasticity.
Good regression models are with and without heteroscedasticity. In this
research the author used the Glejser test. Results testing heteroscedasticity can is
known on table 5 as follows:
|
|
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
|
|
B |
Std. Error |
Beta |
|||
|
1nt) |
2,805 |
1,532 |
|
1,831 |
,070 |
|
1 |
- .007 |
,035 |
- .020 |
- .192 |
,848 |
|
2 |
.017 |
.041 |
,052 |
,405 |
,686 |
|
3 |
- .049 |
,040 |
- .162 |
- 1,221 |
,225 |
a.Dependent Variable: ABS_RES
Source: spss output 23, processed 23
Table
6 explains the results of each independent variable that
is Environment Work Physique (X1), Discipline Work (X2), and Financial Compensation (X3), using the
ScatterPlot graph
above it can be concluded that there are points that are regular and
close together. Based on this pattern, heteroscedasticity can occur.
Test autocorrelation is something condition where there is correlation which between one observation
and another arranged in a time series. The autocorrelation test aims to check
whether the regression model is linear there
is a correlation between confounding
error on current period with confounding error in the previous period.
A
good regression equation is one that does not have autocorrelation. If happen autocorrelation, equality the No suitable for production. One way to check for
autocorrelation problems is to use test Durbin Watson (DW). Results
test autocorrelation can be
seen in table 7 as follows:
Model
Summary b
|
Model |
R |
R Square |
Adjusted
R Square |
Std.
Error of the Estimate |
Durbin-Watson |
|
1 |
,772 a |
,596 |
,584 |
1,961 |
2,089 |
b. Predictors: (Constant), Total_X3, Total_X1, Total_X2
c. Dependent Variables: Total_Y
Source: Output results SPSS
23, processed 2023
Based
on Table 7 can is known
that mark Durbin-Watson is 2,089. Where the K
value or number of independent variables is 3 and the N value or number of
respondent data = 104. So we get the value Dl = 1.6217 and the value Du = 1.7402 Then mark 4-dU 22598. If entered into the
criteria so that the results
obtained are Du < DW < 4 � Du (1.7402 < 2.089 < 2.2598), which
means that the regression model obtained does not have autocorrelation.
Multiple
linear regression analysis is a form of analysis that discusses the extent of the impact of independent variables on
variables bound. The independent
variables in this research are Physical Work Environment (X1), Work Discipline (X2), and Financial
Compensation (X3), while the dependent variable is employee performance (Y). In calculating
the regression coefficient on study this use program
SPSS 23. Below are the results output which is presented in table 8 as follows:
Coefficients a
|
Model |
Unstandardized Coefficients |
Standardized
Coefficients |
t |
Sig. |
Collinearity Statistics |
|||
|
B |
Std. Error |
Beta |
Tolerance |
VIF |
||||
|
1 |
(Constant) |
6,821 |
2,589 |
|
2,634 |
,010 |
|
|
|
|
Total_X1 |
.122 |
,060 |
.135 |
2,041 |
,044 |
,921 |
1,086 |
|
|
Total_X2 |
,466 |
,070 |
,547 |
6,639 |
,000 |
,595 |
1,680 |
|
|
Total_X3 |
,209 |
,067 |
,264 |
3,105 |
,002 |
,559 |
1,787 |
a. Dependent
Variables: Total_Y
Source: output results SPSS 23, processed 2023
Based
on Table 8, it can be seen that the multiple linear regression equation known
in the Standardized Coefficient column is
as follows:
Information:
![]()
Y = Employee
Performance (KP) B1,2,3 = Regression Coefficients
X1 = Environment Work Physique (LKF) X2 = Work Discipline (DK)
X3 = Compensation Financial
(KF)
So that the equation will become like following:
![]()
As for interpretation from results equality
is as following:
1. The Physical Work Environment regression coefficient (X 1) has a contribution of 0.135 to the
Employee Performance variable. If the Physical Work Environment variable
increases, the Employee Performance variable will increase by 0.135.
2. The Work Discipline regression coefficient (X 2) has a contribution of 0.547 to the
Employee Performance variable. If the Work Discipline variable experience increase so Performance variables Employees will increased by 0.547.
3. The Financial Compensation regression coefficient (X 3) has a contribution of 0.264 to the
Employee Performance variable. If the Financial Compensation variable
increases, the Employee Performance variable will increase by 0.264.
In
this research it can be seen that the
Standardized Coefficient Beta has the largest value found in the Work
Discipline variable (X 2) which means that the Work Discipline indicators
need to be maintained and if necessary improved so that they can improve
employee performance, while the Physical Work Environment variable (X 1) has the lowest
Standardized Coefficient Beta value so it is
very need noticed And improved
so that can increase
Employee Performance.
The
F test is used to test the significance of the independent variables, namely Physical
Work Environment, Work Discipline, and Financial Compensation with the
dependent variable, namely, the impact on employee performance. Test result with use level significance
0.05. Results testF can be seen in
table 9 as follows:
ANOVA a
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
566,487 |
3 |
188,829 |
49.123 |
,000 b |
|
|
Residual |
384,397 |
100 |
3,844 |
||
|
|
Total |
950,885 |
103 |
|
||
a.
Dependent Variables: Total_Y
b.
Predictors:
(Constant), Total_X3, Total_X1, Total_X2
Source: output results SPSS 23, processed in 2023
Like Which shown on output data table ANOVA on Table
9 above
can be explained that the calculated F value is 49.123 with a sig value of
0.000. Based on the results of calculations assisted by the SPSS 23 program,
then obtained mark sig = (0.000) which
more small from alpha or level the error limit obtained is 5% (a = 0.05). The model is said to be
significant because it is below the specified alpha value limit of 0.000 <
0.05. It can be concluded that in this study the model is interpreted as
significant and worthy used in study
this based on mark sig which
got, that all variable
free can explain
every change on the
value of the dependent variable because it has a significant influence.
b. Coefficient Determination (R 2)
Analysis
of the coefficient of determination (R2) is used to determine how
much the independent variable developed in this research is able to explain the
dependent variable. In table 10 the results of the coefficient of determination
in this study are as follows:
Model
Summary b
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error
of the Estimate |
Durbin- Watson |
|
1 |
,772 a |
,596 |
,584 |
1,961 |
2,089 |
a.
Predictors: (Constant), Total_X3, Total_X1, Total_X2
b.
Dependent Variables: Total_Y
Source: output results SPSS 23, processed 2023
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The
coefficient of determination measures the extent to which the model can explain
variability variable dependent. When coefficient determination R 2 is 0%, the independent variable cannot
explain the dependent variable at all, and when the coefficient of
determination R 2 approaches 100%, the independent variable can explain variable
dependent. Based on Table
4.20 show that performance Employee
R Square as big as 59.6%. This is
influenced by the Physical Work Environment, Work Discipline and Financial
Compensation. The remaining decision factor value is 40.4% influenced by other
independent factors or variables which are not the focus of this research.
Test t used for know significance influence variable independent of the dependent variable,
either partially or individually. The effect can be estimated at significant
values and determined arithmetically. The independent variables in this
research are
Physical Work Environment (X 1), Work Discipline (X 2), and Financial
Compensation (X 3) to see their effect on the dependent variable, namely Employee
performance (Y) as shown in Table 11 below:
Coefficients a
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
|
B |
Std. Error |
Beta |
||||
|
1 |
(Constant) |
6,821 |
2,589 |
|
2,634 |
,010 |
|
|
Total_X1 |
.122 |
,060 |
.135 |
2,041 |
,044 |
|
|
Total_X2 |
,466 |
,070 |
,547 |
6,639 |
,000 |
|
|
Total_X3 |
,209 |
,067 |
,264 |
3,105 |
,002 |
a. Dependent
Variables: Total_Y
Source: Outputs results
SPSS 23, processed 2023
Based
on Table 11, you can see the explanation of the hypothesis in the research these are as follows:
d. The
Influence of the Physical Work Environment on Employee Performance
Based
on Table 11, it can be explained that the influence of the Physical Work
Environment variable on employee performance is seen from the value t count as
big as 2,041 And significant 0.044 (0.000 < a = 0.05) then
H 0 is
rejected and H 1 is accepted, so that the conclusion is that Environment Work Physique influential positive And significant on Employee Performance.
e. The
Influence of Work Discipline on Employee Performance
Based
on Table 11, it can be explained that The
influence of the Work Discipline variable on employee performance is seen from the calculated t value�as big as 6,639
And significant 0,000 _ (0.000 < a = 0.05)
so H 0 rejected and H 1 accepted, so that it can be concluded that
Work Discipline has a positive and significant effect on Employee Performance.
f. The
Effect of Financial Compensation on Employee Performance
Based
on Table 11, it can be explained that the influence of the Financial
Compensation variable to Performance Employee Which seen of
value t count as big as 3,105and significant 0.002 (0.000 < a = 0.05)
so H 0 is rejected And H
1 accepted, so
that obtained conclusion that Financial
Compensation has a positive and significant effect on Employee Performance.
Through
the results of the research, explanations and conclusions of the research that
has been explained previously, the author tries to share suggestions with
employees at the National Archives of the Republic of Indonesia as material for
consideration for maintain as well as increase Performance Employee
and also suggestions for further research, namely:
A. According to the results
contained in the research, the Work Environment variable Physique Which done on files Republican
National In Indonesia, it is hoped
that institutions will be able to improve the physical work environment so that
employees can feel comfortable at work and can complete their work well,
especially It is time for
institutions to pay attention to their employees.
B. According to the results
contained in the research, the Work Discipline variable carried out at the
National Archives of the Republic of Indonesia is an indicator of the goal of
improving work discipline, one of which will bring change is carrying out
active collaborative activities between superiors and subordinates, so that there
is harmony in realizing good cooperation good.
C. According to results
Which there is on study, variable
Compensation The finances of
the National Archives of the Republic of Indonesia in the allowance indicator
are expected to increase financial
compensation, one of which will brings
enthusiasm Work employee that is employee feel safe with exists insurance
provided by the Agency.
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