�
American Journal of
Economic and Management Business
p-ISSN: XXXX-XXXX
�e-ISSN: 2835-5199
Vol. 3 No. 11 November 2024
The
Influence of Leadership Style and Work Discipline on Employee Performance
Through Work Motivation as a Mediating Variable at PT. Urban Beauty Indonesia
I
Wayan Agus Wirnawan1*, R. Tri Priyono Budi Santoso2,
Yeyen Komalasari3, Gilbert Nainggolan4
1,2,3,4Universitas Dhyana Pura, Badung, Bali, Indonesia
Email: [email protected]*,
[email protected], [email protected],
[email protected]
Abstract
With work motivation
acting as a mediating variable, this study examines the influence of leadership
style and work discipline on employee performance at PT. Urban Beauty
Indonesia. The research follows a quantitative descriptive approach. The study
population consists of all 118 permanent employees at PT. Urban Beauty
Indonesia, using a saturated sample technique. Data analysis was conducted
using Partial Least Square (PLS) and Structural Equation Modeling (SEM) with
the support of SmartPLS software. The results indicate that work motivation
positively and significantly affects leadership style, while work discipline
positively and significantly influences work motivation. Leadership style and
work motivation both have a positive and significant impact on employee
performance. Furthermore, work motivation mediates the positive and significant
effects of leadership style and work discipline on employee performance at PT.
Urban Beauty Indonesia. To enhance employee productivity, PT. Urban Beauty
Indonesia could offer time and resource management training, helping employees
prioritize tasks and maximize available resources. Additionally, implementing a
structured professional development program could assist employees in
identifying career advancement opportunities within the organization.
Keywords: Employee
Performance, Leadership Style, Work Discipline, Work Motivation.
This article is
licensed under a Creative Commons Attribution-ShareAlike 4.0
International
INTRODUCTION
Human resources play a crucial role as the
backbone of institutions and companies
Employee performance plays a crucial role
in achieving company success, where companies must strive to improve employee
performance to realize organizational goals
PT. Urban Beauty Indonesia operates in the
wholesale trading sector of cosmetics and skincare, with strategic locations in
Denpasar and South Jakarta. To evaluate employee performance, the company sets
Key Performance Indicator (KPI) targets for each department and individual.
Performance evaluations are conducted biannually to ensure alignment with
company goals. Recognizing that well-performing human resources are essential
for achieving desired targets, PT. Urban Beauty Indonesia continuously monitors
its workforce. Interviews with the Human Resources Manager revealed that
declining employee performance stems from several factors, including reduced
work motivation, leadership style in managing teams, and decreased employee
discipline. Addressing these aspects�enhancing motivation, fostering effective
leadership, and reinforcing workplace discipline�is critical to optimizing
productivity within the organization
Motivation plays a role as a mediating
variable and influences employee performance
Leadership style is a key factor in a
company's success
Work discipline significantly affects
employee performance in achieving company targets. Employees with good work
discipline tend to be more responsible for their tasks
At PT Urban Beauty Indonesia, assessing
employee discipline plays a crucial role in evaluating performance. Interviews
with the company�s Human Resources Manager revealed several factors
contributing to declining employee discipline. These include frequent
tardiness, unreported absences, misuse of work hours for personal activities,
leaving work before the scheduled time, and poor time management. Additionally,
a lack of awareness regarding the importance of adhering to company policies
and procedures exacerbates the issue. Inaccurate work scheduling and
insufficient commitment to work responsibilities further reduce employee
discipline. Moreover, inconsistent enforcement of rules and the lack of
appropriate sanctions from management worsen the situation.
This can negatively impact the work
carried out by employees if strict sanctions are not imposed. This needs to be
done by superiors to ensure discipline among their subordinates
RESEARCH METHODS
This study employed a
quantitative research method conducted at PT. Urban Beauty in Indonesia. The
primary objective was to test predetermined hypotheses using statistical data
analysis. The research utilized a causality approach, examining work motivation
as the mediating variable, employee performance as the dependent variable, and
leadership style and work discipline as independent variables.
The sample was selected
using saturation sampling, involving 118 respondents who were regular employees
of PT. Urban Beauty Indonesia. One of the key sample selection criteria was
that respondents had to be active employees of the company. Data collection was
conducted using questionnaires based on a Likert scale ranging from 1 to 5.
The research methodology
included tests for data validity and reliability, measurement model testing
(convergent validity, discriminant validity, and composite reliability), and
structural model testing (R-squared, Q-squared, and path coefficient
estimation). Hypothesis testing was conducted using SmartPLS software, ensuring
a comprehensive quantitative analysis process.
RESULT AND DISCUSSION
Respondent
Characteristics Results
The study's respondents were characterized
by age, gender, and length of employment. Age distribution revealed that 67
respondents (56.8%) were aged 20�29, 35 respondents (29.7%) were aged 30�39, 10
respondents (8.5%) were aged 40�49, and 6 respondents (5%) were aged 50 and
above. Regarding gender, 81 respondents (68.6%) were male, while 37 respondents
(31.4%) were female. In terms of work tenure, the majority of respondents (103
individuals or 87.3%) had been employed for 1�5 years, while 15 respondents (12.7%)
had worked for 6�10 years. A total of 118 respondents participated in this
study.
Validity
Test Results
Correlating items in a variable with their
overall scores is done using the validity test. If an instrument's correlation
coefficient, or Pearson Correlation value, between items and the instrument's
overall score is higher than 0.30 at a significance level of 5% or 0.05, it is
deemed legitimate. According to the results of the validity test, 20 statement
items from the leadership style, work discipline, work motivation, and employee
performance variables have been deemed valid because their Pearson correlation
values are greater than 0.30, their total scores of all indicators are greater
than 0.30, and their significance is less than 0.05. This can demonstrate that
every question item satisfies data validity requirements.
Reliability
Test Results
To ascertain whether or not the instrument
being used is dependable, reliability testing is carried out. The Alpha
Cronbach approach is used to test for reliability. If a construct or variable
has an Alpha Cronbach value greater than 0.60, it is considered dependable. The
findings of the reliability test indicate that the work motivation variable is
0.906 greater than 0.60, the leadership style variable is 0.916 greater than
0.60, the work discipline variable is 0.886 greater than 0.60, and the employee
performance variable has a value of 0.936 above 0.60. If a variable's
Cronbach's Alpha value is more than 0.60, it is considered dependable
Measurement
Model or Outer Model Results
Outer
model evaluation in SEM-PLS analysis is a measurement evaluation conducted to
test instruments that assess model validity and reliability. The outer model is
the specification of relationships between latent variables and their
indicators called the outer relation or measurement model, which is done to
define construct characteristics with their manifest variables. Indicator
validity criteria are measured with Convergent Validity, while reliability is
measured with composite reliability and Average Variance Extracted (AVE). The
outer model evaluation model is visualized in Figure 2.
Figure 1. Path Diagram of The Measurement Model
Source: SmartPLS Output
Convergent
Validity Test Results
Convergent validity with reflection
indicators can be seen from the correlation between indicator scores and the scores
of each variable
Discriminant
Validity Test
Discriminant validity aims to assess
whether a construct has sufficient discrimination by comparing cross-loading
values on the intended construct, which must be higher than the cross-loading
values of other variables
Average
Variance Extracted (AVE) Test
The
Average Variance Extracted (AVE) test for each construct value is set to be
greater than 0.50
Table 1. Results of Average Variance
Extracted (AVE) Test
No |
Variable |
Average Variance Extracted (AVE) |
1 |
Employee Performance (Y2) |
0,796 |
2 |
Work Motivation (Y1) |
0,727 |
3 |
Leadership Style (X1) |
0,748 |
4 |
Work Discipline (X2) |
0,688 |
Source: SmartPLS Output (2024)
The results of the Average Variance
Extracted (AVE) test in Table 1 show that the employee performance variable
(Y2), work motivation (Y1), leadership style (X1), and work discipline (X2)
have AVE values greater than 0.50. Therefore, this result can be interpreted as
the Average Variance Extracted (AVE) has been validated.
Composite
Reliability Test
Composite
reliability refers to the part used to test the reliability values of the
indicators of a variable
Table 2. Results of Composite Reliability
Test
No |
Variable |
Composite
Reliability |
Cronbach's Alpha |
1 |
Employee Performance (Y2) |
0,951 |
0,936 |
2 |
Work Motivation (Y1) |
0,930 |
0,906 |
3 |
Leadership Style (X1) |
0,937 |
0,916 |
4 |
Work Discipline (X2) |
0,917 |
0,886 |
Source: SmartPLS Output (2024)
The results of the composite reliability
test in Table 2 show that the employee performance variable (Y2), work
motivation (Y1), leadership style (X1), and work discipline (X2) have composite
reliability and Cronbach�s alpha values greater than 0.70. A construct is
considered reliable if both Cronbach�s alpha and composite reliability values
are greater than 0.70
Structural
Model or Inner Model Results
The
inner model or structural model illustrates the relationship or estimation
strength between constructs or latent variables derived from theoretical
substance. The structural model or inner model test is conducted by examining
the R-square value. The R-square of a PLS model can be evaluated by looking at
the R-square value for the model variables. The structural model is assessed
with PLS structural analysis, which can be measured using the Q-square value
for each endogenous latent variable as a predictive strength of the structural
model. If the calculation results show a Q-square value greater than zero, the
model is considered valid and has relevant predictive value. The Q-square
calculation is performed using the blindfolding procedure by observing the
Q-square value. The path diagram of the structural model is visualized in
Figure 3.
Figure 2. Structural
Path Diagram (Inner Model)
Source: SmartPLS Output (2024)
R-Square
Test
The
R-square value is used to determine the percentage of influence of exogenous
variables on endogenous variables
Table 3. Results of
R-Square Test
No |
Construct |
R-Square |
1 |
Employee Performance (Y2) |
0,876 |
2 |
Work Motivation (Y1) |
0,847 |
Source: SmartPLS Output (2024)
The R-square value test in Table 3 shows
that the construct of employee performance (Y2) has a value of 0.876, which can
be interpreted as 87.6%, categorized as a strong model. This means that the
employee performance variable is influenced by leadership style, work
discipline, and work motivation, while other variables outside the model
influence the remaining 12.4%. The R-square value for the work motivation
construct (Y1) is 0.847, which can be interpreted as 84.7%, categorized as a
strong model. This means that the work motivation variable is influenced by
leadership style and work discipline, while the remaining 15.3% is influenced
by variables outside the model.
Q-Square
Test
Q-square
is used to measure how well the observed values are obtained from the parameter
estimates and the model. Predictive relevance is the test conducted to show how
well the observed values are predicted using the blindfolding procedure by
examining the Q-square value. A Q-square value greater than 0 (zero) indicates
that the model has predictive relevance, while a Q-square value less than 0
(zero) indicates that the model has low predictive relevance. If the Q-square
value is 0.02, the predictive relevance is considered small/weak. If the
Q-square value is 0.15, the predictive relevance is considered moderate/medium.
If the Q-square value is 0.35, the predictive relevance is considered
large/strong. The results of the Q-square test can be presented in Table 4.
Table 4. Results of
Q-Square Test
No |
Construct |
Q-Square |
1 |
Employee Performance (Y2) |
0,687 |
2 |
Work Motivation (Y1) |
0,599 |
Source: SmartPLS Output (2024)
The Q-square value test in Table 4 shows
that the Q-square value for the employee performance model is 0.687, which is
greater than 0. This indicates that leadership style, work discipline, and work
motivation have predictive relevance for the employee performance variable.
With a Q-square value of 0.687, which is greater than 0.35, it can be concluded
that the predictive relevance is considered large/strong. Meanwhile, the
Q-square value for the work motivation model is 0.599, which is greater than 0.
This indicates that leadership style and work discipline have predictive
relevance for the work motivation variable. With a Q-square value of 0.599,
which is greater than 0.35, it can be concluded that the predictive relevance
is considered large/strong.
Hypothesis
Test of Direct Effects (Path Coefficients)
Hypothesis
testing is performed by examining the probability value and t-statistics
Table
5. Results of Direct Effect Test (Path Coefficients)
Model
Construct |
Original Sample (O) |
Sample Mean (M) |
Standard
Deviation (STDEV) |
T-Statistics
(|O/STDEV|) |
P-Values |
�(X1) → (Y1) |
0,343 |
0,341 |
0,068 |
5,016 |
0,000 |
�(X2) → (Y1) |
0,606 |
0,606 |
0,066 |
9,136 |
0,000 |
�(X1) → (Y2) |
0,277 |
0,279 |
0,072 |
3,867 |
0,000 |
�(X2) → (Y2) |
0,231 |
0,232 |
0,091 |
2,550 |
0,011 |
�(Y1) → (Y2) |
0,465 |
0,461 |
0,084 |
5,503 |
0,000 |
Source: SmartPLS Output (2024)
Hypothesis testing using the Partial Least
Square (PLS) method was conducted through simulations for each hypothesized
relationship using the bootstrap method. The bootstrap method aims to assess
the significance value between variables. A hypothesis can be accepted if the
bootstrap test value exceeds 1.96. If the t-statistic value is greater than
1.96 and the p-value is lower than 0.05, the hypothesis will be accepted. Based
on the path coefficient test in Table 5, the results show that the t-statistic
value is above 1.96, and the p-value is below 0.05. This indicates that all
direct influence models have a positive and significant effect.
The
Influence of Leadership Style on Work Motivation
The hypothesis test results in Table 5
show that the influence of leadership style (X1) on work motivation (Y1)
obtained a t-statistic value of 5.016, which is greater than 1.96 (5.016 >
1.96), with a p-value of 0.000, which is lower than 0.05. Since the t-statistic
is greater than 1.96 and the p-value is smaller than 0.05, H0 is rejected, and
Ha is accepted. This means that Hypothesis 1 in this study, which states that
the leadership style variable positively and significantly affects employees�
work motivation at PT Urban Beauty Indonesia, is accepted. This indicates that
the better the leadership style implemented by a leader, the more motivated
employees or individuals will be to work at PT Urban Beauty Indonesia.
Conversely, the worse the leadership style applied by a leader, the less
motivated employees or individuals will be to work at PT Urban Beauty
Indonesia. In motivating employees, a leader�s role is crucial as leadership is
a process of using positive influence on others to exert greater effort in
various tasks or change their behaviour
The findings in this study align with the
expectancy theory proposed, which explains values (a leader can guide
subordinates with values such as integrity, fairness, and honesty that are
reflected in the leadership style). An effective leadership style, which
includes providing clear direction, constructive feedback, and consistent
support, can enhance employees� confidence that their efforts will achieve the
desired goals. Leadership style is a key factor in a company�s success
The
Influence of Work Discipline on Work Motivation
The hypothesis test results in Table 5
show that the influence of work discipline (X2) on work motivation (Y1)
obtained a t-statistic value of 9.136, which is greater than 1.96 (9.136 >
1.96), with a p-value of 0.000, which is lower than 0.05. Since the t-statistic
is greater than 1.96 and the p-value is smaller than 0.05, H0 is rejected, and
Ha is accepted. This means that Hypothesis 2 in this study, which states that
the work discipline variable positively and significantly affects employees�
work motivation at PT Urban Beauty Indonesia, is accepted. This indicates that
the better the work discipline applied by employees, the more motivated
employees or individuals will be to work at PT Urban Beauty Indonesia.
Conversely, the worse the work discipline applied by employees, the less
motivated employees or individuals will be to work at PT Urban Beauty
Indonesia.
The findings in this study align with the
expectancy theory proposed, which explains instrumentality (the organization or
team can influence the level of work discipline. If all team members are
clearly connected in their goals and tasks, this can enhance overall work
discipline). Work discipline includes various aspects such as punctuality,
adherence to rules, and the quality and quantity of work. If employees lack
good work discipline, it becomes challenging for the company to achieve optimal
results
The
Influence of Leadership Style on Employee Performance
The hypothesis testing results in Table 5
regarding the influence of leadership style (X1) on employee performance (Y2)
show a t-statistic value of 3.867, which is greater than 1.96 (3.867 >
1.96), and a p-value of 0.000, which is lower than 0.05. Since the t-statistic
is greater than 1.96 and the p-value is smaller than 0.05, H0 is rejected and
Ha is accepted. This indicates that hypothesis 3 in this study is accepted,
meaning the leadership style variable positively and significantly affects
employee performance at PT Urban Beauty Indonesia. This finding suggests that
the better the leadership style implemented by a leader, the better the
performance of employees or individuals (Gunawan et al., 2022). However, if the
leadership style does not align with the characteristics of the employees or
the tasks being performed, it may lead to reduced motivation, lack of
enthusiasm for work, or even loss of work spirit. This condition can result in
employees losing focus and becoming less centred in their work (Rosalina &
Wati, 2020).
The results of this study align with the
expectancy theory proposed, which explains that the values (valence) possessed
by a leader can significantly influence employee performance. When a leader
demonstrates integrity in every decision and action, employees are more likely
to trust and perform well. Leadership style affects employee productivity and
overall company performance
The
Influence of Work Discipline on Employee Performance
The hypothesis testing results in Table
5.16 regarding the influence of work discipline (X2) on employee performance
(Y2) show a t-statistic value of 2.550, which is greater than 1.96 (2.550 >
1.96), and a p-value of 0.011, which is lower than 0.05. Since the t-statistic
is greater than 1.96 and the p-value is smaller than 0.05, H0 is rejected and
Ha is accepted. This indicates that hypothesis 4 in this study is accepted,
meaning the work discipline variable positively and significantly affects employee
performance at PT Urban Beauty Indonesia. This finding suggests that the better
the work discipline applied by employees, the better their performance at PT
Urban Beauty Indonesia. Conversely, the poorer the work discipline, the more
the performance of employees or individuals diminishes in their work at PT
Urban Beauty Indonesia.
The results of this study align with the
expectancy theory proposed, which discusses instrumentality (organizational or
team influence can affect the level of work discipline). Work discipline is
crucial in creating a productive and efficient work environment. It encompasses
various aspects, such as adherence to company rules, punctuality, and
consistency in task execution. When employees demonstrate high discipline, they
tend to be more organized and focused on their tasks. The higher the level of
adherence to rules at work, the greater the achievement of work results, making
it difficult to achieve organizational success without discipline at work
The
Effect of Work Motivation on Employee Performance
The hypothesis test results in Table 5
show that the effect of work motivation (Y1) on employee performance (Y2)
obtained a t-statistic value of 5.503, which is greater than 1.96 (5.503 >
1.96), with a p-value of 0.000, which is lower than 0.05. Since the t-statistic
is greater than 1.96 and the p-value is smaller than 0.05, H0 is rejected, and
Ha is accepted. This indicates that hypothesis 5 in this study is accepted,
meaning the work motivation variable has a positive and significant effect on
employee performance at PT Urban Beauty Indonesia. This suggests that the
higher the employees' motivation to work, the higher their performance in the
workplace
The results of this study align with the
expectancy theory proposed, which explains that expectations (can drive
employees' work motivation as high expectations for achieving or receiving
certain rewards for their work results). These expectations serve as a primary
driver for employees to enhance their work motivation. Work motivation
influences performance because it is an intrinsic drive to work
Hypothesis
Testing Results of Indirect Effects and Total Effects
The
test of indirect effects and total effects aims to determine the strength of
influence between constructs indirectly and the total effect. The output
results for the indirect effect test between constructs are presented in Table
6.
Table 6. Results of
Indirect Effect Test and Total Effect
Type
of Effects |
Model
Construct |
Original
Sample
(O) |
Sample
Mean �(M) |
Standard
Deviation
(STDEV) |
T-Statistics
(|O/STDEV|) |
P-Values |
Indirect Effect |
�(X1)→(Y1)→(Y2) |
0,160 |
0,156 |
0,041 |
3,907 |
0,000 |
�(X2)→(Y1)→(Y2) |
0,282 |
0,280 |
0,062 |
4,563 |
0,000 |
|
Total Effect |
(X1) → (Y1) |
0,343 |
0,341 |
0,068 |
5,016 |
0,000 |
(X2) → (Y1) |
0,606 |
0,606 |
0,066 |
9,136 |
0,000 |
|
(X1) → (Y2) |
0,437 |
0,435 |
0,074 |
5,893 |
0,000 |
|
(X2) → (Y2) |
0,513 |
0,512 |
0,074 |
6,894 |
0,000 |
|
(Y1) → (Y2) |
0,465 |
0,461 |
0,084 |
5,503 |
0,000 |
Source: SmartPLS Output (2024)
The hypothesis of indirect influence
through mediation variables can be accepted if the bootstrapping test value is
above 1.96 the t-statistic value is equal to 1.96, and the p-value is less than
0.05. Conversely, if the t-statistic value is below 1.96 and the p-value is
less than 0.05, the hypothesis is rejected. Based on the specific indirect
effects and total effects testing results in Table 6, it is shown that the
t-statistic value is above 1.96, and the p-value is below 0.05. Therefore,
these results indicate that all direct influence construct models have a
positive and significant effect.
The
Role of Work Motivation in Mediating Leadership Style on Employee Performance
The results of the indirect influence in
Table 6 for the effect of leadership style (X1) on employee performance (Y2)
through work motivation (Y1) obtained a t-statistic value of 3.907, which is
greater than 1.96 (3.907 > 1.96), with a p-value of 0.000, which is lower
than 0.05. It can be concluded that H0 is rejected and Ha is accepted, meaning
that the work motivation variable can significantly mediate the leadership
style variable's influence on the employee performance variable at PT Urban
Beauty Indonesia. Thus, it can be interpreted that hypothesis 6 (H6) in this
study is accepted. This indication suggests that the more appropriate the
leadership style applied in the workplace, the higher the work motivation of
employees, which eventually improves employee performance at PT Urban Beauty
Indonesia.
The results of this study align with the
expectancy theory proposed, which discusses values (a leader can guide
subordinates with values such as integrity, fairness, and honesty, reflected in
their leadership style) and expectations (work motivation can lead to high
expectations for certain achievements or rewards based on work results). An
effective leadership style based on values such as integrity, fairness, and
honesty can enhance employees' expectations through rewards and recognition,
thereby increasing their work motivation. Motivation explains how to direct
employees' energy and potential to collaborate productively and achieve the
company's predetermined goals
The
Role of Work Motivation in Mediating Work Discipline on Employee Performance
The results of the indirect influence in
Table 6 for the effect of work discipline (X2) on employee performance (Y2)
through work motivation (Y1) obtained a t-statistic value of 4.563, which is
greater than 1.96 (4.563 > 1.96), with a p-value of 0.000, which is lower
than 0.05. It can be concluded that H0 is rejected and Ha is accepted, meaning
that the work motivation variable can significantly mediate the work discipline
variable's influence on the employee performance variable at PT Urban Beauty Indonesia.
Thus, it can be interpreted that hypothesis 7 (H7) in this study is accepted.
This indication suggests that the higher the work discipline of employees, the
higher their work motivation, which eventually improves their performance at PT
Urban Beauty Indonesia.
The results of this study align with the
expectancy theory proposed, which discusses instrumentality (organizations or
teams can influence the level of work discipline. If all team members are
clearly connected to the team's goals and tasks, this can enhance overall work
discipline) and expectations (work motivation can lead to high expectations for
certain achievements or rewards based on work results). When employees are
disciplined in their work, they will deliver good performance, which will lead
to desired rewards. Employee work motivation can be increased by providing high
expectations for achievements or rewards based on their work results. Work
discipline and work motivation instilled by the company in its employees
greatly influence their commitment to work
CONCLUSION
Based on the analysis and discussion, leadership style has
a positive and significant influence on employee work motivation. Similarly,
work discipline positively and significantly affects employee work motivation.
Moreover, leadership style positively and significantly impacts employee
performance, both directly and indirectly through work motivation as a
mediating variable. Likewise, work discipline exerts a positive and significant
influence on employee performance, directly and indirectly, with work
motivation serving as a mediating variable. These findings underscore the critical
role of leadership style, work discipline, and work motivation in enhancing
employee performance, offering valuable insights for organizational
development.
The limitation of this study lies in the sample size,
which could be improved in future research by using a larger sample. Future
studies are expected to include other variables that also contribute to
employee performance at PT Urban Beauty Indonesia, such as work environment,
organizational culture, and employee competence. Recommendations for the
company include enhancing employee performance by providing training focused on
effective time and resource management so that employees become more skilled in
prioritizing tasks, minimizing wasted time, and maximizing available resources.
The company could also implement a clear and structured career development
program that allows employees to see their career paths. Furthermore, the
company could adopt a more inclusive policy, giving every employee equal
opportunities to contribute to strategic decisions relevant to their work,
making employees feel more valued and motivated to participate actively.
Additionally, the company could implement a reward and punishment system, where
employees who consistently adhere to workplace rules are rewarded, and strict
sanctions are imposed on those who violate them, to foster better work
discipline at PT Urban Beauty Indonesia.
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Copyright holders:
I Wayan Agus Wirnawan, R.
Tri Priyono Budi Santoso, Yeyen Komalasari, Gilbert Nainggolan (2024)
First publication
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