JTUS, Vol. 02, No. 7 July 2024
E-ISSN:
2984-7435, P-ISSN: 2984-7427
DOI: https://doi.org/10.58631/jtus.v2i7.111 |
The Effect of
Understanding Taxation, Tax Sanctions, Taxpayer Awareness, and Quality of
Fiscal Services on Taxpayer Compliance Individual Taxpayers in KPP Pratama
Cirebon Satu
Ratna
Jilang1, Rima Nurhalimah2, Bintang Fajar Safei3, Acep Komara4*,
Firman Hidayat5
1,2,3,4,5Universitas Swadaya Gunung Jati,
Cirebon, West Java, Indonesia
Email: [email protected]1, [email protected]2, [email protected]3, [email protected]4*, [email protected]5
Abstract This study aims to examine the factors influencing taxpayer compliance
among individual taxpayers enrolled at KPP Pratama Cirebon Satu, focusing on
tax knowledge, tax penalties, taxpayer awareness, and the quality of fiscal
services. A random sample was drawn from the population, and data were
analyzed using Structural Equation Modeling Partial Least Squares (SEM PLS)
combined with multiple linear regression analysis. The findings indicate that
taxpayer awareness and the quality of fiscal services positively and
significantly impact individual taxpayer compliance at KPP Pratama Cirebon
Satu. However, understanding of taxation and penalties does not significantly
affect compliance. These findings suggest implications for tax policies and
practices, emphasizing the importance of enhancing taxpayer awareness and
improving fiscal service quality to foster compliance. Keywords: Tax Sanctions, Taxpayer
Awareness, Quality of Fiscal Services. |
INTRODUCTION
National development is continuous
and sustainable development that improves
people's welfare
The self-assessment method used by
Indonesia's tax system, which provides taxpayers complete confidence to
compute, pay, and report their responsibilities, is regarded as a crucial
component of tax payer compliance. Thus, taxpayer
compliance determines whether tax payments are accurate. Thus, one of the most
crucial challenges in Indonesia is tax compliance. Taxpayers may feel compelled
to evade and ignore their commitments if they are abandoned. Apollo and
Triandani
Tax regulations are influenced by
the deterrent effect of tax sanctions. Taxpayers may be affected by their
understanding of tax laws and regulations
In 2018, there were 90,293
registered individual taxpayers, 24,101 registered individual taxpayers for
mandatory tax returns, 30,008 annual tax returns submitted, and 110% compliance
with tax return reporting, according to a previous report on taxpayer compliance
data. adherence to reporting requirements for tax returns. In contrast, 26,646
individual taxpayers, 97,054 registered individual taxpayers, 28,356 filed
yearly tax returns, and 94% of tax return reporting compliance were recorded in
2019. Observance. In 2020, however, there were 31,265 yearly tax returns,
27,908 individual taxpayers enrolled for required tax returns, 116,292
registered taxpayers, and a 99% tax return reporting compliance rate. In 2021,
there were 121,938 registered individual taxpayers, 29,697 individual taxpayers
registered for mandatory tax returns, 31,204 submitted annual tax returns, and
tax return reporting compliance was 106%. For 2022, there are 127,584
registered individual taxpayers, 30,765 registered individual taxpayers for tax
returns, 25,536 annual tax returns, and 101% tax return compliance.
Numerous research has been carried
out on the impact of taxpayer awareness, tax penalties, tax comprehension, and
the caliber of fiscal services on taxpayer compliance with regard to individual
taxpayers in the Cirebon region. According to Triandani and Apollo
According to Ida and Jenni's
The research
aims to analyze factors influencing compliance among individual taxpayers in
Cirebon, Indonesia, focusing on taxpayer awareness, tax penalties, fiscal
service quality, and the impact of regulatory changes like the shift to a
self-assessment system. It seeks to provide insights into improving compliance
through enhanced education, penalty effectiveness, and better service delivery
by tax authorities.
RESEARCH METHODS
This kind of study employs a theory
development research methodology, which avoids putting implementation as its
primary focus
Multiple linear regression
statistical analysis using SEM PLS software is the data analysis method
employed. Three steps were used in this study: first, the validity and
reliability of the model were evaluated using the Outer Model Analysis. The
convergent and discriminant validity of the latent construct-forming
indicators, composite reliability, and Cronbach alpha for the indicator blocks
are used to assess the outer model with reflexive indicators
RESULTS AND DISCUSSION
Characteristics
of Respondents
Table
1. Characteristics of Respondents
No. |
Gender |
Sum |
Percentage (%) |
1. |
Man |
48 |
48% |
2. |
Woman |
52 |
52% |
Total |
100 |
100% |
|
No. |
Age Group |
Sum |
Percentage (%) |
1. |
< 20 Years |
12 |
12% |
2. |
21 - 30 Years |
70 |
70% |
3. |
31 - 40 Years |
8 |
8% |
4. |
> 40 Years |
10 |
10% |
Total |
100 |
100% |
|
It |
Last Education |
Sum |
Percentage (%) |
1. |
JUNIOR |
3 |
3% |
2. |
SMA |
47 |
47% |
3. |
DIPLOMA |
10 |
10% |
4. |
S1 |
36 |
36% |
5. |
S2 |
3 |
3% |
6. |
S3 |
1 |
1% |
Total |
100 |
100% |
Based
on the data in the table of this study, 52 people or 52% are female, 70 people
or 70% are in the age range of 21-30 years, and 47 people or 47% are in this
study.
SEM-PLS Analysis, Outer Model Test
Three
criteria are used in SEM analysis with PLS application to evaluate the outer
model: composite reliability, discriminant validity, and convergent validity
Figure
1.
Convergent
Validity
Table 2. Convergent Validity
|
Outer
Loading |
Information |
KPF.1 |
0.889 |
Valid |
KPF.2 |
0.919 |
Valid |
KPF.3 |
0.910 |
Valid |
KPF.4 |
0.945 |
Valid |
KPF.5 |
0.891 |
Valid |
KWP.1 |
0.883 |
Valid |
KWP.2 |
0.831 |
Valid |
KWP.3 |
0.914 |
Valid |
KWP.4 |
0.765 |
Valid |
KWP.5 |
0.808 |
Valid |
KWPOP.1 |
0.762 |
Valid |
KWPOP.2 |
0.837 |
Valid |
KWPOP.3 |
0.821 |
Valid |
KWPOP.4 |
0.734 |
Valid |
KWPOP.5 |
0.741 |
Valid |
PP.1 |
0.737 |
Valid |
PP.2 |
0.791 |
Valid |
PP.3 |
0.768 |
Valid |
PP.4 |
0.705 |
Valid |
PP.5 |
0.772 |
Valid |
SP.1 |
0.781 |
Valid |
SP.2 |
0.766 |
Valid |
SP.3 |
0.768 |
Valid |
SP.4 |
0.780 |
Valid |
SP.5 |
0.718 |
Valid |
Each study variable has an outside loading that is more than 0.5,
as the table above demonstrates. This demonstrates the validity and
qualification of each indicator in the research with regard to the convergent
validity assumption. Therefore, using it to assess study variables is viable.
Discriminant
Validity
Table 3. Discriminant Validity
|
Average Variance Extracted (AVE) |
AVE Rating |
Information |
WPOP
Compliance |
0.608 |
0.5 |
Valid |
Taxpayer
Awareness |
0.709 |
0.5 |
Valid |
Fiscal
Service Quality |
0.830 |
0.5 |
Valid |
Understanding
Taxation |
0.570 |
0.5 |
Valid |
Tax
Sanctions |
0.582 |
0.5 |
Valid |
The AVE value for each research variable is more than 0.5, as can
be seen in the above table. This demonstrates that the study variable satisfies
the growth rule from AVE > 0.5. Thus, the research variable might be
considered a useful research concept.
Composite
Reliability
The alpha value or composite reliability of a rule-of-thumb
construct is measured in terms of its real value of dependability; a value of
0.6 is acceptable, but a value of higher than 0.7 is required. The composite
reliability values for each research variable are shown in the
table below.
Table 4. Composite Reliability
|
Composite
Reliability |
C levelof
omposit reliability |
Information |
WPOP Compliance |
0.886 |
0.7 |
Reliable |
Taxpayer
Awareness |
0.924 |
0.7 |
Reliable |
Fiscal
Service Quality |
0.961 |
0.7 |
Reliable |
Understanding
Taxation |
0.869 |
0.7 |
Reliable |
Tax
Sanctions |
0.874 |
0.7 |
Reliable |
The composite dependability value is more than 0.7, as the table
above demonstrates. This indicates that all variables are deserving of being
employed as study variables as they are all consistent and dependent
constructs.
SEM-PLS Analysis, Inner Model Test
The
effect of the construct is ascertained by means of the inner model or
structural model test. R square is the test that uses the inner model, and the
significance value is to be determined by the hypothesis test.
Figure
2.
R
Square
Each dependent latent variable's R square shows the PLS model used
to evaluate the model. The impact of certain independent latent factors on
dependent latent variables and whether they have a significant influence may be
evaluated by changes in the R square value. If the R2 value falls between 0.33
and > 0.67, it is considered moderate and useful for evaluating endogenous
variables in the structural model. In contrast, a score of 0.19 for R2
indicates that it is weak. The R2 test findings for the research variables are
shown in the table below in the following manner:
Table 5. R square test
|
R Square |
R Square Adjusted |
Individual Taxpayer Compliance |
0.483 |
0.461 |
The Individual Taxpayer Compliance variable's R2 construct
magnitude is 0.461, as can be seen in the above table. This is the proportion
of Individual Taxpayer Compliance that is explained by factors other than the
study model, or 0.539. With a value between 0.33 and 0.67, the R2 value is
considered to be in the excellent range.
Hypothesis
Test
When evaluating hypotheses in a study, the value of the inner
model is demonstrated to a substantial degree. For hypothesis testing at 5%
alpha and 80% power, the inner model indicated by the T-statistic should be
> 1.96 for the two-tail hypothesis and > 1.64 for the one-tail hypothesis
(Abdillah, W., & Hartono, J, 2015). If the t statistic or p-value is
greater than the table's t, the structure's impact on the variables is
considered significant.
Table 6. Hypothesis Test
|
Original
Sample (O) |
Sample Mean
(M) |
Standard
Deviation (STDEV) |
T Statistics
(|O/STDEV|) |
P Values |
Understanding
Taxation -> Compliance of Individual Taxpayers |
0.148 |
0.154 |
0.098 |
1.505 |
0.133 |
Tax
Sanctions - > Compliance of Individual Taxpayers |
-0.024 |
-0.003 |
0.147 |
0.163 |
0.871 |
Taxpayer
Awareness - > Compliance of Individual Taxpayers |
0.333 |
0.336 |
0.138 |
2.424 |
0.016 |
Fiscal
Service Quality - > Compliance of Individual Taxpayers |
0.412 |
0.386 |
0.139 |
2.955 |
0.003 |
It is evident from the table above that this study looks at the
direct impact of independent factors as bound variables on investor decisions.
The interpretation of the preceding table yields the following result:
1.
Hypothesis 1: Understanding taxation has a positive and
significant effect on taxpayer compliance
With a coefficient of
0.148 and a t-statistic value of 1.505, taxpayer compliance was positively but
not significantly impacted by understanding taxes. With a significance
threshold of 5%, the table above demonstrates that a p-value of 0.133 > 0.05
was achieved. According to the initial sample value (estimate), which is 0.148,
taxpayer compliance is positively impacted by tax understanding by 14.8%. As a
result, hypothesis 1 (H1) is disproved.
2.
Hypothesis 2: Tax sanctions have a positive and significant effect
on taxpayer compliance
Tax sanctions, with a
coefficient of -0.024 and a t-statistic value of 0.163, have a negative but
negligible impact on taxpayer compliance. With a significance threshold of 5%,
the table above demonstrates that a p-value of 0.871 > 0.05 was obtained.
According to the initial sample value (estimate), which is -0.024, tax
penalties have a positive impact of 0% on taxpayer compliance. Thus, hypothesis
2 (H2) is not accepted.
3.
Hypothesis 3: Taxpayer awareness has a positive and significant
effect on taxpayer compliance
With a coefficient of
0.333 and a t-statistic value of 2.424, taxpayer awareness had a positive and
substantial impact on taxpayer compliance. With a significance threshold of 5%,
the table above demonstrates that a p-value of 0.016 < 0.05 was obtained.
According to the initial sample value (estimate), which is 0.333, there is a
33.3% positive correlation between taxpayer compliance and taxpayer awareness.
This indicates that the third hypothesis (H3) is true.
4.
Hypothesis 4: The quality of fiscal services has a positive and
significant effect on taxpayer compliance
The t-statistic value of
2.955 and the coefficient of 0.412 indicate a positive and significant
relationship between taxpayer compliance and the quality of fiscal services.
With a significance threshold of 5%, the table above demonstrates that a
p-value of 0.003 < 0.05 was obtained. The initial sample value (estimate),
which is 0.412, indicates that 41.2% of taxpayer compliance is positively
impacted by the quality of fiscal services. As a result, hypothesis 4 (H4) is
agreed upon.
Discussion
The
biggest sample, including 52 individuals or 52% female, 70 individuals or 70%
aged between 21 and 30 years, and 47 individuals or 47% having completed their
last high school education, was determined by the analysis of the data.
With
a coefficient of 0.148 and a t-statistic value of 1.505, the hypothesis test
analysis results indicate that taxpayer compliance is positively, but not
significantly, impacted by comprehension of taxes. With a significance
threshold of 5%, the table above demonstrates that a p-value of 0.133 > 0.05
was achieved. Tax knowledge has a 14.8% impact on taxpayer compliance. This is
consistent with studies
With
a coefficient of -0.024 and a t-statistic value of 0.163, the hypothesis test
analysis's findings indicated that tax penalties had a negative but negligible
impact on taxpayer compliance. With a significance threshold of 5%, the table
above demonstrates that a p-value of 0.871 > 0.05 was obtained. According to
the initial sample value (estimate), which is -0.024, tax penalties have a
positive impact of 0% on taxpayer compliance. This is consistent with studies
With
a coefficient of 0.333 and a t-statistic value of 2.424, the hypothesis test
analysis findings demonstrated that taxpayer knowledge had a positive and significant
influence on taxpayer compliance. With a significance threshold of 5%, the
table above demonstrates that a p-value of 0.016 < 0.05 was obtained.
According to the initial sample value (estimate), which is 0.333, there is a
33.3% positive correlation between taxpayer compliance and taxpayer awareness.
This is consistent with research showing that taxpayer knowledge has a major
impact on taxpayer compliance
With
a coefficient of 0.412 and a t-statistic value of 2.955, the hypothesis test
analysis's findings demonstrate that the caliber of fiscal services had a
favorable and substantial impact on taxpayer compliance. With a significance
threshold of 5%, the table above demonstrates that a p-value of 0.003 < 0.05
was obtained. The initial sample value (estimate), which is 0.412, indicates
that 41.2% of taxpayer compliance is positively impacted by the quality of
fiscal services. This is consistent with studies
The
aforementioned table indicates that the individual taxpayer compliance variable
component's magnitude of R2 is 0.461, or 46%. This is the proportion of Individual
Taxpayer Compliance that is explained by factors other than the research model,
which is 0.539 or 54%. With a value between 0.33 and 0.67, the R2 value is
considered to be in the excellent range.
CONCLUSION
This study investigates how tax understanding, tax
sanctions, taxpayer awareness, and fiscal service quality influence individual
taxpayer compliance. The analysis reveals that while understanding taxation and
awareness of tax sanctions do not significantly impact compliance, heightened
taxpayer awareness and improved fiscal service quality notably increase
compliance levels. This implies that mere knowledge of tax laws and penalties
alone does not guarantee compliant behavior among taxpayers. Instead, fostering
awareness of tax responsibilities and providing high-quality fiscal services
emerge as effective strategies to enhance compliance.
To enhance individual taxpayer compliance, several
recommendations arise from these findings. First, there should be intensified
efforts to educate the public about taxation to increase awareness of taxpayer
rights and obligations. Second, improving the accessibility, efficiency, and
informativeness of fiscal services can facilitate easier compliance.
Additionally, consistent and fair enforcement of tax laws should deter
non-compliance effectively. However, the study's limitations, such as a limited
sample size and data from a single region, restrict the generalizability of
these conclusions. Thus, future research should expand with larger, more
diverse samples to validate and extend these findings across different contexts
and populations.
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Copyright
holder: Ratna Jilang, Rima
Nurhalimah, Bintang Fajar Safei, Acep Komara, Firman Hidayat (2024) |
First
publication right: Journal Transnational Universal Studies
(JTUS) |
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