The Influence Analysis of Work Stress, Work Environmental and
Motivation on Employee Performance Through Job Satisfaction as an
Intervening Using Variable SEM (Structural Equation Modelling)
Method
Moch. Kalam Mollah
1
and Misbahul Munir
2
1
Civil Engineering Department, Institut Teknologi Adhi Tama Surabaya, Surabaya, 60117, Indonesia
2
Electrical Engineering Department, Institut Teknologi Adhi Tama Surabaya, Surabaya, 60117, Indonesia
Keywords: Stress, Job, Performance, Satisfaction.
Abstract: PT. Pentana Service is a company engaged in construction specifically steel fabrication. The problem
encountered by company was frequent overtimes with low remuneration but cannot meet production target.
The objective of study was to know the influence of motivation, environment, stress on employee performance
through job satisfaction as intervening variable. The method used was path analysis with Structural Equation
Modeling. The results of study indicated that motivation had positive influence of 0.229, environment had
positive influence of 2.746, and stress had significant influence of 0.139 on job satisfaction. Motivation had
positive influence of 0.910, environment had positive influence of 2.526, and stress had negative influence of
-0.221 on employee performance. Motivation had positive influence of 0.093, environment had positive
influence of 1.120, and stress had positive and significant influence of 0.056 on employee performance
through job satisfaction as intervening variable. Job satisfaction had positive influence of 0.408 on employee
performance.
1 INTRODUCTION
Construction companies have become an important
pillar that has a useful role improve national
development. This is the impact of increased public
awareness general to development. One way to be
able to answer the needs of society, a construction
company requires an increase in expert human
resources (HR) in the field of development as well as
improving the quality of materials to be used (LePine
et al., 2016).
PT XYZ is a company engaged in the field of
developers and civil contractors aims to support
government programs in national development. To
guard reputation and being able to compete with PT
XYZ's competitors requires high performance
employees optimally in order to produce output of
goods whose quality is guaranteed.
Based on the background explanation above, it is
necessary to improve employee performance carried
out research Analysis of Work Motivation, Work
Environment, Work Stress on Performance
Employees using Job Satisfaction as An Intervening
Variable With using the Structural Equation
Modelling (SEM) Method. To measure how big the
significance of these variables that can be used to
provide recommendations for improvement improve
employee performance.
2 LITERATURE REVIEW
2.1 Definition of Performance,
Motivation, Work Environment
and Stress
Performance is a result that has been achieved by
employees in carry out the duties and responsibilities
that have been assigned to him and in carrying out
their work cannot be separated from the terms and
conditions set by the company (Shatté et al., 2017)
(Khamisa et al., 2015). Motivation is a desire that has
an impact on someone to take action. The importance
of employee motivation is related to reactions against
42
Mollah, M. and Munir, M.
The Influence Analysis of Work Stress, Work Environmental and Motivation on Employee Performance Through Job Satisfaction as an Intervening Using Variable SEM (Structural Equation
Modelling) Method.
DOI: 10.5220/0012105000003680
In Proceedings of the 4th International Conference on Advanced Engineering and Technology (ICATECH 2023), pages 42-46
ISBN: 978-989-758-663-7; ISSN: 2975-948X
Copyright
c
2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
compensation from other workers related to that
motivation (Davidescu et al., 2020).
The work environment is part of the job design
that can increase effectiveness and productivity of an
organization, and productivity and ensure the
organization to be a good place to work and
conducive to work (Siengthai & Pila-Ngarm, 2016)
(Paais & Pattiruhu, 2020). Stress is where a person's
psychological condition is under pressure to reach for
an opportunity, where the main source of stress is loss
opportunities caused by limitations or barriers. stress
is the most frequent reason for job dissatisfaction, but
it does exist (Atmojo, 2015) (Pawirosumarto et al.,
2017). Other reasons for job stress include anger,
frustration and disagreements (Babalola, 2016).
2.2 SEM (Structural Equation
Modeling) Method
General and has the benefits of special versions in a
number of methods other analyzes as special cases.
Another definition describes that structural Equation
modeling is a statistical technique that is utilized to
build and test statistical models that are often used in
causal models (Taheri et al., 2020). In this study, the
researcher cited several journals used as sources
reference in progress. the first is the Analysis of the
Effect of Work Motivation, Work Environment and
Work Stress on Employee Performance reviewed by
Sandhi in 2013 found that motivation and work stress
had a significant impact on worker performance, but
the work environment has less significant impact on
employee performance. Next research conducted by
primandaru et al with the title Effect of Work
Motivation and Work Environment on Job
Satisfaction, Work Discipline and Employee
Performance at PT. Kereta Api Indonesia (Persero)
Daop IX Jember in this study found that the results
motivation, and work environment have a positive
and significant effect on performance PT employees
Kereta Api Indonesia (Persero) Daop IX Jember.
Third Effect of Satisfaction Work on Employee
Performance of PT Dapensi Dwikarya Bandung
which was researched by Wardhana in 2018 the
conclusion obtained is job satisfaction significant
impact on the performance of employees of PT
Dapensi Dwikarya Bandung.
2.3 Model Fitment Test (Goodness of
Fit Test)
The goodness of fit test (GOFI) is a measure that can
be used to see suitability model. Based on the
goodness of fit test it can be interpreted how good the
model has been made theoretically can reflect the
existing reality (Jung & Yoon, 2015) (Bataineh,
2019). Each suitability tool the model has a
recommended value limit. However, these numbers
are not numbers of dead (Hanaysha & Tahir, 2016).
The cut off value which is the limit of each test tool
above is listed in the Table 1.
Table 1: Model Goodness of Fit Test.
Goodness of Fit Index Cut Off Value
Chi-Square Expected
small value
Probabilit
y
≥ 0,05
RMSEA ≥ 0,08
GFI ≥ 0,90
AGFI ≥ 0,90
CMIN/DF ≥ 2,00
TLI ≥ 0,95
CFI ≥ 0,95
3 RESEARCH METHODS
The research method is useful for helping researchers
to understand the flow that should be done so that and
carry out research effectively and efficiently, and also
can overcome the various limitations that exist in
writing a report that will discussed in research. The
following are the stages in the research method will
be done.
The flowchart of research is an essential tool that
provides a visual representation of the entire research
process, from the initial idea to the final results. It
outlines the steps that a researcher will take to achieve
their research objectives, and it helps to ensure that
the research is conducted in a systematic and efficient
manner. The flowchart of research helps to ensure
that the research process is well-organized and that all
steps are followed in a logical and coherent sequence.
It is important to note that the flowchart of research
may differ based on the nature and scope of the
research, but it generally includes the key steps such
as defining the research question, conducting a
literature review, selecting the research design,
collecting and analyzing data, and presenting the
findings.
The Influence Analysis of Work Stress, Work Environmental and Motivation on Employee Performance Through Job Satisfaction as an
Intervening Using Variable SEM (Structural Equation Modelling) Method
43
Figure 1: Flowchart.
4 RESULT AND DISCUSSION
4.1 SEM (Structural Equation
Modelling) Method
After conducting analysis and establishing a
measurement model with using the CFA method, then
the structural model analysis uses the method
Structural Equation Modeling (SEM) on the entire
model with software tools Amos (Jayaweera, 2015)
(Al-Omari & Okasheh, 2017).
Figure 2: Overall Running of SEM Model.
4.2 Overall Model Goodness of Fit
(GOFI) Evaluation
After that, an evaluation step is carried out to get the
appropriate model. Model it is said to be good if the
value of the suitability of the model (Goodness of Fit)
is in accordance with the criteria (Prabowo et al.,
2020). The goodness of fit value for the overall model
can be seen in Table 2:
Table 2: The Goodness of Fit Criteria.
Goodnes of
Fit Index
Cut Off
Value
Model
Results
Description
Chi-Square
Expected
small
value
402,821 Not good
Probabilit
y
≥ 0,05 0,000
N
ot
g
oo
d
RMSEA ≥ 0,08 0,101
N
ot goo
d
GFI ≥ 0,90 0,737
N
ot
g
oo
d
AGFI ≥ 0,90 0,666
N
ot
g
oo
d
CMIN/DF ≥ 2,00 2,034
N
ot goo
d
TLI ≥ 0,95 0,528
N
ot
g
oo
d
CFI 0,95 0,593
N
ot
g
oo
d
Based on Table 2, the Goodness of Fit index is
generated by the structural model not suitable, so
modifications are needed. Model modifications are
selected with correlating between residual indicators
based on output modification indices (M.I) Amos
software Figure 3.
Figure 3: SEM Model Result.
Next, the Goodness of Fit evaluation stage was
carried out again as a whole model in Table 3
following:
ICATECH 2023 - International Conference on Advanced Engineering and Technology
44
Table 3: The Goodness of Fit Result.
Goodness
of Fit Index
Cut Off
Value
Model
Results
Description
Chi-Square
Expected
small
value
192,975 Fit models
Probability ≥ 0,05 0,194 Fit models
RMSEA ≥ 0,08 0,030 Fit models
GFI ≥ 0,90 0,870 Prett
y
g
oo
d
AGFI ≥ 0,90 0,815 Pretty goo
d
CMIN/DF ≥ 2,00 1,090 Fit models
TLI ≥ 0,95 0,958 Fit models
CFI ≥ 0,95 0,968 Fit models
Based on the above, the overall SEM model meets
the criteria of Goodness of Fit. Matter this shows that
the indicators used in measuring each latent variable
are appropriate (Li et al., 2018). So, then the results
of the estimated value are tested again for find out
how much influence the indicators have on latent
constructs. said to have the significant effect of the
probability value obtained is less than α = 0.05 (5%).
Then the data processing stages that have been carried
out in the previous chapter show the relationship
between latent variables that have been significant
with a 5% level of confidence. That matter indicated
by a p-value > 0.05 and the calculation of the
influence of the construct variable is good directly
(directly) or indirectly (indirectly) the results are in
Table 4.
Table 4: Effect of Exogenous Variables on Endogen.
Effect Relational Loading
Factor
Description
Direct
Z X
1
Z X
2
Z X
3
Y Z
Y X
1
Y X
2
Y X
3
0.229
2.746
0.139
0.408
0.910
2.526
-0.221
Influential
Influential
Influential
Influential
Influential
Influential
Negative
Influential
Indirect
X
1
Z
Y
X
2
Z
Y
X
3
Z
Y
0.093
1.120
0.056
Influential
Influential
Influential
In this study, the variables of motivation and work
environment were influential positive so that the
company only needs to do a little improvement such
as adding lighting so that the workplace is brighter so
that it can increase the accuracy of workers and also
provide rewards for what has been achieved by
employees because in general workers motivation
will burn if you receive commensurate remuneration,
but at work stress has a negative effect so it is
necessary to make more complex improvements,
namely to add Familiarity between workers needs to
be held at least every FGD (Focus Group Discussion).
month or hold a vacation once a year to refresh and
strengthen relationships companies with workers'
families, then provide a transparent performance
appraisal system so that there is no jealousy between
one worker and another.
5 CONCLUSIONS
In this study it was found that work motivation has a
positive effect on job satisfaction of PT Pentana
Service division employees of 0.229, influential work
environment positive effect on job satisfaction of
employees of PT Pentana Service of 2.746, work
stress has a positive effect on job satisfaction of PT
Pentana Service employees by 0.139. Work
motivation has a positive effect on the performance
of PT Pentana Service employees of 0.910, the work
environment has a positive effect on the performance
of Pentana Service employees is 2.526, work stress
has a negative effect on employee performance
employees of PT Pentana Service of -0.221.
Work motivation has a positive effect on the
performance of PT Pentana Service employees
through job satisfaction of 0.093, the work
environment has a positive effect on performance
employees of PT Pentana Service through job
satisfaction of 1.120, work stress has an effect
positive effect on the performance of employees of
PT Pentana Service through job satisfaction of 0.056.
Job satisfaction has a direct positive influence on
employee performance at PT Pentana Service of
0.408.
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