JTUS, Vol. 02, No. 2 February 2024 84
JTUS, Vol. 02, No. 2 February 2024
E-ISSN: 2984-7435, P-ISSN: 2984-7427
THE INFLUENCE OF PAYMENT GATEWAYS AND EASE OF SHOPPING ON
CUSTOMER SATISFACTION AT THE UP2BEAT MARKETPLACE
Halek Mu’min, Diah Dharmayanti, Farid Al Rizky
Universitas Siber Asia, Indonesia
Email: halekmumin@gmail.com
Abstract
Up2beat is an online fashion center that provides high-quality clothing according to the latest
trends, with a variety of styles for all walks of life and collections of men's, women's and
children's clothing. In addition, they offer fashion accessories to complete the look, while
prioritizing environmentally friendly practices and good work ethics standards. This study tests
and proves whether payment gateways and ease of shopping influence customer satisfaction
in the Up2beat marketplace. The method used in the research is quantitative with an
explanatory research approach. The data collection techniques used are questionnaires and
documentation. The data analysis technique uses multiple regression with the help of SPSS
software. The results showed that the payment gateway factor and ease of shopping explained
94% of customer satisfaction. While the t test simultaneously shows partially and simultaneously
that payment gateways and ease of shopping affect consumer satisfaction. Even though there
is a significant influence between all these variables, of course, it is also necessary to look for
other factors outside of payment gateways, ease of shopping and customer satisfaction.
keywords: Payment Gateway, Customer satisfaction, Ease Shopping
INTRODUCTION
With the rapid growth of the e-commerce industry, competition between various online
shopping platforms is increasing. The existence of the internet is one of the technological
advances that we really enjoy (Satrio, 2021). The internet, which started in Indonesia in 1994 and
continues to this day, can reduce consumer search costs and can provide more information in the
end because it can be accessed anytime and anywhere, because of the various benefits offered
by e-commerce, e-commerce websites have become a necessity for companies that have
developed to continue to grow (Edison & Kurnianingsih, 2021). Many companies use digital
marketing as the main strategy to introduce their goods and services to potential customers.
Digital marketing uses the internet to disseminate information about goods or services in an
interesting and relevant way through various online platforms such as e-commerce (Fadhli &
Pratiwi, 2021). E-commerce can be used as a web to conduct business transactions (Rabbani,
2023). Technological advances and changes in people's lifestyles affect the development of
electronic payment systems, also known as cashless payment systems (Anjani, 2023). This forces
The Effect of Consumer Satisfaction on Payment Gateways and Ease of Shopping on
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JTUS, Vol. 02, No. 2 February 2024 85
consumers to better understand the components that influence customer behavior and
preferences in using payment tools (Toruan, 2022).
Up2beat is one such online shopping platform. However, to continue increasing its market
share, Up2beat must better understand the factors that influence payment gateway usage.
Payment gateways are an important part of the online transaction process, and if they function
properly, they can increase customer convenience and trust when shopping online (Lestari et al.,
2020). This very rapid technological advancement makes transactions easier, especially retail
payment systems due to the emergence of payment gateways called electronic money (Mulyadi,
2023). On the other hand, the payment gateway can also be said to be a digital payment, where
digital payments change the way people transact with non-cash payments, which are much safer
and more useful (Kurniawan et al., 2023). Payments made using electronic payment instruments
by utilizing digital data, there are several dimensions of digital payment, namely efficiency, service
quality, ease of payment, transaction speed, enjoyment and transaction security (Rahma et al.,
2021). To increase customer satisfaction and ease of shopping, Up2beat implements a digital
payment system, which allows customers to use Mastercard, Visa, Paypal, and e-wallets, and other
types.
Perceived ease of use is "Perceived effortlessness refers to an individual's level of belief in
the absence of exertion when utilizing a specific system", Davis (Deborah, 2019). It can be
interpreted that the level at which a person believes that using technology will make them not
have to do much. Ease can also be said to be a level at which a person considers that the
application of technology will be free from effort, Hartono (Furi et al., 2020). The convenience
factor also affects customer satisfaction (Bondan Santosa, 2021). According to Adryanto Furi et al.,
(2020) several elements of convenience, namely 1) The system can be used according to consumer
wishes easily. 2) Interactions between people and the system are clear and easy to understand, 3)
It doesn't require a lot of effort to interact with the system. Ease of use has an impact on customer
satisfaction, namely the easier it is to shop, the higher the customer satisfaction in shopping
(Perdana, 2019). According to Basalamah et al., (2022) Indicators that show how easy it is to use
information technology are as follows: 1) Information technology is easy to learn and use. 2)
Information technology can do what users want. 3) Information technology can improve user
skills. 4) Information technology is very easy to use.
One measure of business success is consumer satisfaction, which impacts the number of
sales. When consumers are satisfied, they are more likely to retain the marketed product, satisfied
consumers tend to buy the same product again (Bali, 2022). Marketing relies heavily on marketing
management activities and knowing how consumer satisfaction, which is always changing and
dynamic (Setiawan et al., 2019). Consumer satisfaction is a person's feeling of happiness or
disappointment that stems from the consideration between his impression of the ability or result
of a product and the expectations he has about it (Cesariana et al., 2022).
Kotler and Armstrong Sumartini & Tias, (2019) say that:
Halek Mu’min
86 JTUS, Vol. 02, No. 2 February 2024
"Customer satisfaction is the extent to which a product's perceived performance matches
a buyer's expectations. If the product's performance falls short of expectations the customer is
dissatisfied. If performance matches expectations, the customer is satisfied. If performance
exceeds expectations, the customer ih highly satisfied or delighted ".
According to some of the definitions above, consumer satisfaction can explain that the level
of a person's feelings when they get the product or service offered and compare the performance
of the product or service with consumer expectations. According to Tjiptono and Chandra
Sumartini & Tias, (2019) customer satisfaction must consider four main factors when evaluating
customer satisfaction, namely: a. product quality, b. service quality, c. emotional, d. price, and e.
cost. Meanwhile, the indicators of customer satisfaction itself are reliability, responsiveness,
confidence, empathy, and tangibility.
Based on the description above, the focus of the research is customer satisfaction and ease
of shopping at the Aqubelaja marketplace. The level of customer satisfaction and the positive
experience they have when using Aqubelaja services is indicated by customer satisfaction.
Meanwhile, ease of shopping includes features such as ease of navigation on the website,
payment process, and transaction security. Translated with www.DeepL.com/Translator (free
version)
Figure 1. The effect of consumer satisfaction on payment gateways and ease of shopping
The concept above shows that the influence of consumer satisfaction on payment gateways
and ease of shopping is very significant. One of the ways used by UP2BEAT to increase customer
satisfaction is to use a payment gateway where there are elements of transaction speed,
transaction success rate, security level, ease of use, reliability. While the ease of shopping can be
seen from accessibility indicators, complete product information, smooth payment experience,
and responsive customer service that causes a very influential effect on consumer satisfaction
when viewed from the quality of products or services, good customer service, innovation, and
good user experience.
The Effect of Consumer Satisfaction on Payment Gateways and Ease of Shopping on
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JTUS, Vol. 02, No. 2 February 2024 87
METHODS
The method to be used in this research is quantitative with the approach of survey and
explanatory research methods. Survey and explanatory research are research methods that involve
pre-planned questions to collect data from respondents. The purpose of this method is to collect
quantitative data about attitudes, opinions, behaviors, or other characteristics of the target
population. Survey methods can be conducted in various ways, such as observation,
questionnaires, or interviews. The research population is UP2BEAT consumers totaling 250
customers. Data were taken using the questionnaire method, then analyzed using multiple linear
regression and assisted by SPSS (Hadi Ismanto & Pebruary, 2021).
RESULTS AND DISCUSSION
Up2beat is an online fashion center committed to providing high-quality clothing that is in
line with the latest fashion trends. Up2beat meets the fashion needs of all people. A variety of
men's, women's and children's clothing is in the Up2beat collection. Up2beat has a variety of styles
to suit your preferences, from everyday wear to special outfits for special occasions. In addition,
you can find fashion accessories from Up2beat to complete your look. Up2beat has expressed its
commitment to support sustainability. As a result, most of Up2beat's products are made with eco-
friendly practices and good work ethic standards in mind.
Analysis of respondent decryption in this study consists of gender demographics, age
demographics, education demographics and occupational demographics, the analysis is as
follows:
Table 1 Gender Demographics
Gender
Frequency
Percent
Valid
Percent
Cumulative
Percent
Valid
Man
97
63,8
63,8
63,8
Girl
55
36,2
36,2
100,0
Total
152
100,0
100,0
Based on table 1 above, we can see that Up2beat respondents are dominated by male
gender as much as 63.8%, while 36.2% are female.
Table 2 Age demographics
Frequency
Percent
Valid
Percent
Cumulative
Percent
20 - ≤ 25 Years
25
16,4
16,4
16,4
25 - ≤ 30 Years
42
27,6
27,6
44,1
30 - ≤ 35 Years
46
30,3
30,3
74,3
> 35 Years
39
25,7
25,7
100,0
Total
152
100,0
100,0
Based on the age demographics table, we can know that the age demographics are 18.2%
in the age range 20 - 25, 29.1% are 25 - 30 years, 25.5% are 30 - 35 years, and 27.3% are >
35 years, meaning that the majority of Up2beat consumers are > 35 years old.
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88 JTUS, Vol. 02, No. 2 February 2024
Table 3 Education Demographics
Education
Frequency
Percent
Valid
Percent
Cumulative
Percent
Valid
Senior junior
School
19
12,5
12,5
12,5
Senior Higt
School
47
30,9
30,9
43,4
Diploma
70
46,1
46,1
89,5
PascaSarjana
16
10,5
10,5
100,0
Total
152
100,0
100,0
Judging from table 3, the demographics of education are 13.6% junior high school,
32.7% are high school education, 29.1% are diploma / bachelor's education, and 14.5%
are postgraduate, meaning that the highest level of education of Up2beat consumers is
high school.
Table 4 Occupation
Jobs
Frequency
Percent
Valid
Percent
Cumulative
Percent
Valid
Civil State Officer
55
36,2
36,2
36,2
Private Officers
5
3,3
3,3
39,5
Entrepreneur
58
38,2
38,2
77,6
Army
7
4,6
4,6
82,2
Other
27
17,8
17,8
100,0
Total
152
100,0
100,0
Table 4 above shows that when looking at the demographics of employment, 30%
are civil servants, 3.6% are private employees, 39.1% are entrepreneurs, Army 6.4%, and
others 20.9%, meaning that from these demographics, the majority of Up2beat consumers
are entrepreneurs. The function of the validity test is to ensure that the instruments used
in research have sufficient accuracy and reliability for their intended measurement
purposes. By ensuring the validity of the instrument, researchers can be more confident
that the data collected will provide reliable and reliable results for further analysis. If the
significance value (sig.sig.) is less than 0.05 or the rr-count value is greater than rr-table
at the 5% significance level, then the statement items on the questionnaire are considered
valid. Conversely, if the significance value (sig.sig.) is greater than 0.05 or the r-count is
smaller than the rr-table at the 5% significance level, then the statement items on the
questionnaire are considered invalid. The test results carried out using SPSS are as follows:
The Effect of Consumer Satisfaction on Payment Gateways and Ease of Shopping on
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JTUS, Vol. 02, No. 2 February 2024 89
Table 5 Output test of validity coreelation pearson
Variable
Item
Pearson
correlation
Sig
(standart)
Information
Payment
gateway (X1)












0.644
0.628
0.616
0.576
0.562
0.662
0.517
0.590
0.592
0.576
0.571
0.686
0.000< 0.05
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Ease of
shopping (X2)












0.496
0.658
0.578
0.573
0.509
0.539
0.636
0.514
0.746
0.600
0.617
0.692
0.000< 0.05
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Consumer
satisfaction (Y)


















0.682
0.692
0.499
0.546
0.730
0.627
0.649
0.580
0.552
0.593
0.493
0.661
0.606
0.657
0.539
0.416
0.000< 0.05
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
Valid
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90 JTUS, Vol. 02, No. 2 February 2024
Variable
Item
Pearson
correlation
Sig
(standart)
Information
0.614
0.675
Valid
Valid
From table 2 above, we can see that the r_count value in the correlation coefficient column
for each question has an r_count value greater than the r_table, which is 0.1593 with a sample size
of 152 respondents (n = 152) and alpha 0.05. So it can be concluded that the variable X
1
(payment
gateway), variable X
2
(ease of shopping) and variable Y (customer satisfaction) indicators are valid
and can be used for the next stage.
The reliability test determines how consistent and reliable the tool is for measuring the same
construct or variable at different times or under different conditions. Cronbach's alpha coefficient
is a commonly used tool to assess the reliability of a measurement tool. The results of the reliability
test carried out are as follows:
Table 6 Output test of reliability
Constructs
Reliability Statistics
Cronbach's Alpha
Evolution model
Payment Gateway (X
1
)
0,902
Reliable
Ease of shopping (X
2
)
0.862
Reliable
Consumer satisfaction (Y)
0.910
Reliable
Based on SPSS calculations, it is known that the value of each variable has a Cronbach
alpha value of more than 0.06 (α> 0.06), so it can be concluded that variable X1 (payment
gateway), variable X2 (ease of shopping) and variable Y (consumer satisfaction) are reliable.
The classical assumption test is a test carried out before carrying out certain statistical
analyzes to ensure that the data meets the requirements of the analysis. The basis for testing
classical assumptions is if the sig value> 0.05, it is said that the data is normally distributed, and if
sig <0.05, it is said that the data is not normally distributed. The test results are as follows:
Table 7 Multicollinearity test
One-Sample Kolmogorov-Smirnov Test
Unstandardized
N
152
Normal
Parameters
a,b
Mean
-43,6710526
Std. Deviation
18,97086215
Asymp. Sig. (2-tailed)
c
.200
d
Monte Carlo
Sig. (2-
tailed)
e
Sig.
0,252
Lower
Bound
0,241
The Effect of Consumer Satisfaction on Payment Gateways and Ease of Shopping on
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JTUS, Vol. 02, No. 2 February 2024 91
99%
Confidence
Interval
Upper
Bound
0,263
a. Test distribution is Normal.
b. Calculated from data.
c. Lilliefors Significance Correction.
d. This is a lower bound of the true significance.
e. Lilliefors' method based on 10000 Monte Carlo
samples with starting seed 743671174.
Based on the test table conducted with the SPSS normality test using Kolmogrov Smirnov,
it is known that the significant asymp value of the variable is 0. 200 the significant number is
greater than 0.05, it can be concluded that the data is normally distributed and fulfills multiple
linear regression analysis.
Multicollinearity is one of the classic assumption tests in regression analysis. It occurs when
two or more independent variables in a regression model are significantly correlated. This can
cause problems in understanding the regression coefficients and cause parameter estimates to
be unstable. The Variation Inflation Factor (VIF), also known as the tolerance test, is a frequently
used method to test for multicollinearity. A VIF value greater than 10 or a tolerance less than 0.1
usually indicates the presence of significant multicollinearity.
Table 8 Multicollinearity
Coefficients
a
Model
Collinearity Statistics
Tolerance
VIF
1
(Constant)
Kemudahan Berbelanja
0,356
2,811
Payment Gateway
0,356
2,811
a. Dependent Variable: Kepuasan Konsumen
It is known from the SPSS test results, as for the basis for taking the multicollinearity test is
if the tolerance value> 0.10 then there is no multicollinearity, and if the tolerance value < 10.00
then there is multicollinearity, based on the results of the SPSS output test carried out, the
tolerance value of the payment gateway is 0.356 and the ease of shopping is 0.356, which indicates
that the tolerance value is> 0.10 and < 10.00, meaning that there is no multicollinearity.
One of the classic assumptions in regression analysis is heteroscedasticity, which means that
there is an imbalance in the variance of the dependent variable across the values of the
independent variables. If this occurs, the variance of the dependent variable may change
systematically according to changes in the values of the independent variables.
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92 JTUS, Vol. 02, No. 2 February 2024
Figure 1 Normal P-Plot
The results of heteroscedasticity obtained from the p-plot graph show that the points on
the graph spread randomly and are well distributed, above or below the y-axis number 0, it is
concluded that there is no heteroscedasticity in the regression model, and can predict payment
gateways and ease of shopping based on consumer satisfaction variables.
The criteria for testing the linearity test based on deviation from linearity generally refers to
the significance value (sig.sig.) of the statistical test used to test whether the relationship between
the independent and dependent variables is linear or not.
If the significance value (sig.sig.) of the linearity test is less than the set threshold (usually
0.05), then we do not have enough evidence to reject the assumption that the relationship
between the independent and dependent variables is linear. In this context, we assume that the
relationship meets the assumption of linearity.
Table 9 Multiple Regression Analysis Result
Coefficients
a
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
3,513
1,198
2,932
0,004
Ease shopping
0,277
0,038
0,330
7,203
0,000
Payment Gateway
0,438
0,030
0,658
14,374
0,000
a. Dependent Variable: Customer Satisfaction
From the table of multiple regression analysis results, it can be explained that:
 

The regression equation above can be explained as follows:
a = 3.513: is a constant value, where influenced by variable X
1
(payment gateway), variable X
2
(ease of shopping), customer satisfaction is 3.495.
a. b
1
= 0.277: is the regression coefficient value of the payment gateway variable X
1
gives a value
of 0.276 (positive sign) which means that if the payment gateway increases by 1 unit, the
customer satisfaction variable will increase by 0.276, and it is concluded that if the payment
gateway is getting better, the payment gateway will get better simultaneously.
b. b
2
= 0.438 is the regression coefficient value of the ease of shopping variable X
2
provides a value
of 0.489 (positive sign) which means that if the ease of shopping increases by 1 unit, the
The Effect of Consumer Satisfaction on Payment Gateways and Ease of Shopping on
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JTUS, Vol. 02, No. 2 February 2024 93
customer satisfaction variable will increase by 0.489, and it is concluded that if the ease of
shopping is getting better, customer satisfaction will get better simultaneously.
The standard error of 1.194 means that all variables calculated using the SPSS test have an
error rate or error of 1.194. The lower the standard error value, the better the regression model in
explaining variations in the data.
Based on the tests and analysis carried out, the regression obtained shows that, the variable
payment gateway factor X
1
(b
1
= 0.277) is the biggest factor affecting payment gateways, while
the ease of shopping factor X
2
(b
2
= 0.438) is the lowest factor affecting customer satisfaction.
Partial tests, also called partial hypothesis tests, are statistical techniques used to assess how each
independent variable affects the dependent variable in a multiple regression model. The results
of the SPSS tests conducted are as follows:
Table 10 Uji partial
Coefficients
a
Model
t
Sig.
1
(Constant)
2,932
0,004
Ease shopping
7,203
0,000
Payment Gateway
14,374
0,000
a. Dependent Variable: Customer Satisfaction
Based on the results of the SPSS output linearity test, we can know that the t test (partial)
hypothesis criteria on the consumer satisfaction variable carried out are
rejected if sign> 0.05


and
accepted if sign> 0.05


the SPSS test results show that
t_hitung14.374 and t_table1.65529 there is a linear relationship between payment gateway and
consumer satisfaction with a significant linearity of 0.000 <0.05. So it can be concluded that the
payment gateway affects customer satisfaction at Up2beat.
Based on the results of the SPSS output linearity test, we can know that the t test hypothesis
criteria (partial) on the convenience variable, namely
is rejected if sign> 0.05


and
is accepted if sign> 0.05


, the SPSS test results show that t_hitung 7.183
and t_tabel1.65501 there is a linear relationship between ease of shopping and customer
satisfaction with significant linearity of 0.000 <0.05. so it can be concluded that ease of shopping
affects customer satisfaction at Up2beat.
The F test is a statistical test used to assess the total significance of multiple regression
models. According to the F test decision-making basis, if the significant value (sign.) is less than
0.05, then the independent variables (X
1
and X
2
) affect the dependent variable (Y) simultaneously.
If the significant value (sign.) is more than 0.05, then the independent variables (X
1
and X
2
) do not
affect the dependent variable (Y) simultaneously.
Halek Mu’min
94 JTUS, Vol. 02, No. 2 February 2024
Tabel 11 Uji Anova
ANOVA
a
Model
Sum of
Squares
df
Mean
Square
F
Sig.
1
Regression
6046,912
2
3023,456
596,966
.000
b
Residual
754,641
149
5,065
Total
6801,553
151
a. Dependent Variable: Customer Satisfaction
b. Predictors: (Constant), Payment Gateway, Shopping
Facilities
Source: Data output spss, 2024
Based on the results of the SPSS output ANOVA test, we can know that the f test hypothesis
criteria are as follows:
= Simultaneously, customer satisfaction does not have a significant influence on payment
gateways and ease of shopping.
= Customer satisfaction simultaneously has a significant influence on paymen gateway and
ease of shopping.
Based on the test hypothesis
rejected if sign> 0.05 and



admitted if
sign> 0.05


. The test results were carried out using the SPSS F method, where the
significant level obtained was smaller, namely 0.000 from the standard, namely 5% or 0.05 and
the comparison results between


. 596.966 3.06, it can be concluded that
is
accepted and
rejected or customer satisfaction has a significant influence on payment
gateways and ease of shopping.
The coefficient of determination, usually described as R
2
, is a statistical measure that
quantifies how well the regression model fits the observed data. It describes the proportion of
variability of the dependent variable that the independent variables in the regression model can
explain.
Table 10 Coefficient of determination
Model Summary
Model
R
R
Square
Adjusted
R Square
Std. Error
of the
Estimate
Durbin-
Watson
1
.943
a
0,889
0,888
2,25049
1,694
a. Predictors: (Constant), Payment Gateway, Shopping
Facilities
b. Dependent Variable: Customer Satisfaction
Testing with SPSS obtained an R
2
value of 943. this shows that 94% of customer satisfaction
is explained by the payment gateway factor and ease of shopping while the remaining 6% is
explained by other variables.
Based on the results of the SPSS output linearity test, we can know that the t-test (partial)
hypothesis criteria on the consumer satisfaction variable carried out are H_o1 rejected if sign>
0.05 t_hitung≤t_tabel and H_a1 accepted if sign> 0.05 t_hitung≥t_tabel, the SPSS test results show
The Effect of Consumer Satisfaction on Payment Gateways and Ease of Shopping on
Up2beat Marketplace
JTUS, Vol. 02, No. 2 February 2024 95
that t_hitung14.374 and t_table1.65529 there is a linear relationship between payment gateway
and consumer satisfaction with a significant linearity of 0.000 <0.05. So it can be concluded that
the payment gateway affects customer satisfaction at Up2beat.
From the results of this study in accordance with research conducted by Bondan Santosa,
(2021) Convenience factors also influence online purchasing decisions. Online business activities
are basically the same as conventional shopping (in the real world), namely looking for the desired
item, interacting with the seller, and bargaining until reaching an agreement on the desired item.
Thus, the internet can create a cheaper, more effective and efficient real market that benefits both
sellers and buyers. The results of research conducted by Anjani, (2023) also say that with the
payent gateway it will make it easier for consumers to shop online.
Based on the results of the SPSS output linearity test, we can know that the t test hypothesis
criteria (partial) on the convenience variable, namely H_o1 is rejected if sign> 0.05
t_hitung≤t_tabel and H_a1 is accepted if sign> 0.05 t_hitung≥t_tabel, the SPSS test results show
that t_hitung 7.183 and t_table 1.65501 there is a linear relationship between ease of shopping
and customer satisfaction with a significant linearity of 0.000 <0.05. so it can be concluded that
ease of shopping affects customer satisfaction at Up2beat.
So based on the description and review of previous research, we can conclude that the
payment gateway has a role and function in the ease of shopping at Up2beat. One of the daily
activities that can change is the ease of shopping using digital payments or often referred to as
payment gateways, and the development of the internet today is not just information but can also
provide easy access to shopping (Mustaqor & Winanto, 2022).
Based on the testing hypothesis H_od rejected if sign> 0.05 and F_hitung≤F_tabel
H_admitted if sign> 0.05 F_hitung≥F_tabel. The test results were carried out using the SPSS F
method, where the significant level obtained was smaller, namely 0.000 from the standard, namely
5% or 0.05 and the comparison results between F_hitung≥F_tabel 596.966 3.06, it can be
concluded that H_a is accepted and H_oditolak or customer satisfaction has a significant influence
on payment gateways and ease of shopping.
CONCLUSION
Based on the results of the research conducted, it can be concluded that 1) Customer
satisfaction affects the payment gateway in shopping at Up2beat, it is proven that t_hitung14.374
and t_tabel1.65529 there is a linear relationship between customer satisfaction and payment
gateway with a significant linearity of 0.000 <0.05, 2) Ease of shopping has an influence on
customer satisfaction, it is proven that t_hitung 7.183 and t_tabel1.65501 there is a linear
relationship between ease of shopping and customer satisfaction with a significant linearity of
0.000 <0.05, and 3) The results of multiple regression tests show that the consumer satisfaction
variable b_1 = 0.277 and b_2 = 0.439 concluded that if the ease of shopping is getting better then
X1 (Payment Gateway) and X2 (Ease of shopping) have an effect on Y (Consumer Satisfaction)
simultaneously.
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Copyright holder:
Halek Mu’min (2023)
First publication right:
Journal Transnational Universal Studies (JTUS)
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