The Effect of Financial and Financial Technology Literation on
Financial Inclusion
Meiryani, Jessica Elizabeth, Andreas Chang and Yen Sun
Bina Nusantara University, Jakarta, Indonesia
Keywords: Financial Literacy, Financial Inclusion, Financial Technology, SME.
Abstract: The purpose of this study was to determine the effect of financial literacy and financial technology on financial
inclusion. This research method is carried out by distributing questionnaires to SME (Small Medium
Enterprises) respondents in West Jakarta area. The sample in this research used 130 respondents and statistical
testing was carried out using SPSS 25. The results showed that only financial literacy had a positive effect on
financial inclusion, while other independent variables had no effect on financial inclusion. It can be concluded
that financial literacy has an influence on financial inclusion because when someone has a high literacy level,
their ability to apply financial products and services is also wiser.
1 INTRODUCTION
The economic development of a country cannot be
separated from the financial sector and the role of the
government. In developing the financial sector, a
country is expected to increase access to financial
services. The mindset of the people in some areas of
the capital city of Jakarta is still modest in responding
to financial problems and the lack of socialization of
the importance of financial institutions and the
awareness of the people of Jakarta cannot be said to
have developed. So there is a need for changes that
bring people more inclusively in utilizing existing
financial access. Under these circumstances, people
need strong financial literacy to improve their welfare
and prevent being exposed to fraud in the financial
sector. Financial literacy is important because with
financial literacy, financial inclusion can be formed.
Thus, financial literacy is intended for anyone,
especially for middle and lower class people who
really need clearer knowledge of financial
instruments. MSMEs are micro, small and medium
enterprises. In growing the economic growth of the
UMKM community, it has a big contribution.
According to the Ministry of Education and Culture
(Culture, 2016), literacy is the ability to access,
understand, and use something intelligently through
various activities, including reading, viewing,
listening, writing and speaking.
According to the World Bank, financial inclusion
is a major supporting factor in reducing poverty and
increasing welfare. Financial inclusion itself is
defined as access to financial products and services
that are useful and affordable in meeting the needs of
the community and their businesses in terms of
transactions, payments, savings, credit and insurance
that are used responsibly and sustainably. The
elements that play a role in financial inclusion are
access, availability of financial products and services,
use and quality which are expected to reduce the
number of people who do not have bank accounts
because they do not have access to banking services.
There are many benefits that can be obtained when
financial inclusion has been achieved, such as
increasing economic efficiency and supporting
financial system stability. Before achieving financial
inclusion, several factors are needed to improve it, so
the public must understand financial inclusion. Along
with the development of information technology and
supported by a fast internet penetration rate, several
digital financial services have emerged that make it
easier for people to make transactions and to obtain
financing. The digital service in question is Financial
Technology, abbreviated as fintech. Based on
Pribadino (2016), Financial Technology (fintech) is a
combination of technology and financial features or it
can also be interpreted as innovation in the financial
sector with a touch of modern technology. Based on
the descriptions that have been previously described
74
Meiryani, ., Elizabeth, J., Chang, A. and Sun, Y.
The Effect of Financial and Financial Technology Literation on Financial Inclusion.
DOI: 10.5220/0011243200003376
In Proceedings of the 2nd International Conference on Recent Innovations (ICRI 2021), pages 74-79
ISBN: 978-989-758-602-6
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
in the above problem, the research problem can be
formulated as follows:
Does financial literacy affect the financial
inclusion of the MSME community in West
Jakarta?
Does financial technology affect the financial
inclusion of the MSME community in West
Jakarta? Based on the formulation of the
problem, the objectives of this study are to:
To find out whether financial literacy affects
the financial inclusion of the people of West
Jakarta.
To find out whether the effect of financial
technology on financial inclusion in West
Jakarta society.
2 THEORETICAL FRAMEWORK
2.1 The Effect of Financial Literacy on
Financial Inclusion
There are several supporting components to get the
welfare of the people in Indonesia. The components
in question are in the form of economic growth,
poverty reduction, income distribution and financial
system stability. By using instruments for policy in
the form of financial literacy and financial inclusion
seen from various aspects such as economic
conditions, demographic conditions, and
geographical conditions and cultural conditions in
Indonesia (Sari and Dwilita, 2018). The decision of
business actors to access capital from financial
institutions and manage their finances with various
related parties certainly illustrates how the level of
financial inclusion is defined as a situation in which
all adults of working age have effective access to
credit, savings, payments, and insurance from formal
service providers. Financial inclusion data in
Indonesia shows the level of financial inclusion at
67.8% in 2016, which increased by 8.1% from the last
survey in 2013, which was 59.7%. This means that
the Indonesian people have access to formal financial
service institutions. To achieve a good level of
financial inclusion, an individual or a business actor
must go through a decision-making process to use the
resources they have. With the era of globalization, the
influence of modernization has brought socio-cultural
changes in Indonesian society from a traditionalist to
a more modern one and is reflected through
increasingly advanced public financial management
patterns and utilizing financial products and services
from formal financial institutions (Sari and Dwilita,
2018). However, not all Indonesian people have
accepted this modernization.
Some regions in Indonesia still use traditional
(non-formal) institutions to facilitate the financial
needs of these communities because they are based
on the principles of trust and respect for customs
which are quite strong and make Indonesians more
comfortable to carry out financial activities through
traditional institutions compared to formal financial
institutions (Sari and Dwilita, 2018). One of the target
groups of SNLKI (National Strategy for Indonesian
Financial Literacy) in 2017 is MSMEs (Micro, Small
and Medium Enterprises). MSMEs have an important
and strategic role in denominational development in
Indonesia and play a role in absorbing workers in
Indonesia and distributing development products. In
the process of developing MSMEs can be facilitated
by the financial market, and can lead to substantial
poverty reduction which will affect national
economic growth (Fauzan and Ahmad, 2019).
Sanistasya et al. (2019), suggested that financial
institutions be more active in providing education for
the products and services offered and adjusting the
needs of MSMEs from time to time so as to encourage
them to develop more. So, the writer formulates the
fifth hypothesis which is in the form:
H5: Financial literacy has an influence on the
financial inclusion of the MSME community in the
West Jakarta area.
2.2 The Influence of Financial
Technology on Financial Inclusion
In the current era of globalization, technological
progress is a new driver of economic growth.
Especially when it is related to the financial sector,
fintech has been able to become a new instrument
with the hope of increasing financial growth and
financial inclusion. fintech itself has become popular
in recent years. In essence, fintech is a financial
service based on innovative technology that is
integrated online to facilitate various transactions
such as installment payments, insurance premiums,
household bills, money transfers, balance checks,
funding, investments and others (Alimirruchi, 2017).
The basic forms of Fintech include payments (Digital
Wallets, P2P Payments), investment (Equity
Crowdfunding, Peer to Peer Lending), financing
(Crowdfunding, Microloans, Credit Facilities),
insurance (Risk Management) and crossprocess (Big
Data Analysis, Predictive Modeling) ), as well as the
security infrastructure of Fauzan Ahmad (Fauzan and
Ahmad, 2019).
The Effect of Financial and Financial Technology Literation on Financial Inclusion
75
From the diversity of forms of fintech, it has
become the main support in facilitating various
community activities in Indonesia. The recent strong
role of fintech in achieving public access to easy
access to finance is likely to have an impact that will
be able to increase financial inclusion in Indonesia.
Previous research stated that fintech was able to
increase financial inclusion and financial literacy
quite well, (Sari and Kautsar, 2020). In addition,
increasing financial inclusion through digitalization
of banks that are integrated with fintech has a positive
effect in increasing financial inclusion (Yoshino and
Morgan, 2017). Research by Annisa et al (2019). with
the title ”DETERMINING FACTORS OF
FINANCIAL INCLUSION IN INDONESIA” said
that financial technology has a significant
contribution in increasing financial inclusion. With
the existence of financial technology, people who
previously did not have formal banking accounts now
have accounts in various technologybased financial
services. Thus, the authors formulate the sixth
hypothesis, namely in the form of :
H6: Financial Technology has an influence on the
financial inclusion of the MSME community in the
West Jakarta area.
3 RESEARCH METHODOLOGY
This research uses quantitative methods. The
variables in this study use a Likert scale, where the
distribution of questionnaires focuses on people who
have their own businesses or MSMEs (Micro, Small
and Medium Enterprises). The determination of the
number of samples in this study used the Hair
formula, so that there were 130 respondents who had
to fill out a questionnaire. The test which is done is
validity and reliability test. This research was
conducted from September 2020 to February 2021.
The method of presenting data used in this study is a
method of documentation, the data obtained is
documented in tabular form, after which it is
processed using predetermined methods. Researchers
use multiple linear regression as a data processing
tool to determine the effect of independent variables
on the dependent variable.
Researchers used SPSS 25 as a tool or application
in this study. The determination of the number of
samples used in this study is based on the Hair
formula. According to Hair et al. (2019), determining
the number of representative samples depends on the
number of indicators used multiplied by five to ten
observations. According to Hair et al. (2019), the
sample size should be 100 or larger. As a general rule,
the minimum sample size is at least five times as
many as the number of question items to be analyzed,
and the sample size. Therefore, in this study, the
number of samples used is multiplied by 5, so that the
minimum sample used is 130 MSMEs. Hair formula
is as follows:
Number of Samples = Total Indicators × 5 =
26 × 5 = 130 Thus, the number of samples to
be used in this study is 130 samples.
Sampling Unit While the sample is part of the
number and characteristics of the population
(Sugiyono, 2010) Therefore, the samples of
this study are: MSMEs domiciled in West
Jakarta.
Method of collecting data In this study,
researchers obtained data using primary data
collection methods, namely by using a
questionnaire or questionnaire. The
questionnaire is a data collection technique
that is carried out by giving a set of questions
or written statements to the respondent to
answer (Sugiyono, 2010). The questionnaire is
an efficient data collection technique if the
researcher knows exactly what variables to
measure and what can be expected from the
respondent. In addition, a questionnaire is also
suitable if the number of respondents is large
enough and spread over a large area.
Questionnaires can be in the form of closed or
open questions / statements, can be given to
respondents in person or sent by post, or the
internet.
4 RESULT AND DISCUSSION
This study uses primary data obtained from
distributing questionnaires using google form.
Respondents in this study focused only on people
who have businesses or UMKM (Micro, Small and
Medium Enterprises). Researchers used the Hair
formula with a sample of 130 SMEs and the number
of questionnaires distributed was 171 pieces. The
number of respondents obtained was 130 respondents
who filled in the data completely without a single
unanswered question.
4.1 Description of Research Objects
The object of research in this study is financial
literacy and financial technology on financial
inclusion. The statements in the questionnaire are
ICRI 2021 - International Conference on Recent Innovations
76
answered using a Likert scale with the following
ratings.
4.2 Descriptive Statistical Analysis
Results
Descriptive statistics serve to describe or provide an
overview of the object under study through sample or
population data (Sugiyono, 2010). Data presentation
in the form of tables, graphs, diagrams, and quantities
such as minimum, maximum, sum, mean, and
standard deviation.
4.3 Validity Test Results
It can be seen that the validity measurement for
financial literacy variables using Pearson Correlation
shows that the R value obtained from the results of
running SPSS 25 is greater than the R-Table (R-Table
= 0.1723). It can be concluded that all questions made
by researchers based on reference journals can be
declared valid, so that 10 questions representing
financial literacy variables can be used for the
questionnaire. Then the measurement of the validity
for the financial technology variables which consists
of 6 questions describes each valid question to
represent the financial technology variables. The R
value from running SPSS 25 using Pearson
Correlation has a value above the R-Table (R-Table
= 0.1723) so it can be said that all of them are valid
and can be used for distributing questionnaires. The
last 10 questions that represent financial inclusion
variables can be declared valid because the R value
from running SPSS 25 is above the R-Table value (R-
Table = 0.1723) so that these questions can be used in
distributing questionnaires.
4.4 T-test Results
Table 1: T Test Results.
Independent
Variable
Beta Sig. Conclusion
Financial
Literac
y
0,585 0,000 Has influence
Financial
Technolo
gy
0,027 0,763 Has no influence
T test was conducted to determine the effect of
each independent variable partially on the dependent
variable. If the significance value is below 0.05, it can
be said that the independent variable has an influence
on the dependent variable. Meanwhile, if the
significance value is above 0.05, it can be said that the
independent variable has no influence on the
dependent variable. There is 1 independent variable
that has an influence on financial inclusion. The
independent variable that affects the dependent
variable is financial literacy. Meanwhile, the financial
technology variable has no influence on financial
inclusion because it has a significance value above
0.05. Financial literacy variables have an influence on
financial inclusion.
4.5 T Test Results
The F test is carried out to see whether the
independent variables together have an influence on
the dependent variable. If the significance value is
below 0.05, it can be said that the independent
variables jointly have an influence on the dependent
variable. Meanwhile, if the significance value is
above 0.05, it means that the independent variable has
no effect on the dependent variable. It can be
concluded that the significance value of the F test is
0.000, so it can be said that the variables of financial
literacy and financial technology together have an
influence on the financial inclusion variable
4.6 R-Square Test Results
The R-Square test is used to predict and see how
much influence the variable x contributes to the
variable y together. The R-Square value obtained
from SPSS 25 processing is 0.362, which means that
the independent variable describes 36.2% of having
contributed to the financial inclusion variable.
Meanwhile, 43.9% is described by other variables
which are not used in this study.
5 CONCLUSION AND
SUGGESTION
5.1 Conclusion
After the researcher processes and tests the data,
conclusions can be drawn from the results of the
hypothesis as follows:
Testing the first hypothesis in the form of the
effect of financial literacy on financial
inclusion. Based on the results of the research
that has been done, it can be seen that the
significance value of the financial literacy
variable <0.05 is 0.000. According to Chen
The Effect of Financial and Financial Technology Literation on Financial Inclusion
77
and Volpe (1998), someone who has high
financial literacy will have higher success.
The second hypothesis testing is the effect of
financial technology on financial inclusion.
Based on the results of the research that has been
done, it can be seen that the significance value of the
variable financial technology
> 0.05 is 0.303.
According to Aribawa (2016), it is stated that
financial technology is used by companies and banks
to enter into new market sectors, so it can be said that
financial technology is not a major factor because its
main purpose is to penetrate new markets.
5.2 Suggestion
Based on the research that has been done, there are
several suggestions that can be used as material for
consideration for further researchers, the government
and the banking sector.
The next researcher, Further researchers are
expected to conduct research in more detail
and be able to describe what factors most
influence financial inclusion, so as to assist the
government in evaluating programs related to
financial inclusion. In further research, it is
hoped that researchers can reveal financial
technology products in more detail, so that the
research is more specific.
Government, This research is expected to
serve as an illustration for the government to
evaluate activities related to financial
inclusion, whether they are effective or require
improvement. So that the even distribution of
financial inclusion can be evenly distributed
from Sabang to Merauke.
Banking, This research is expected to assist
banks in formulating programs that will
support government financial inclusion
programs so that assistance from banks can
make it easier for the government to
implement activities that support equitable
distribution of financial services.
REFERENCES
Ali, N., Fatim, K., & Ahmed, J. (2019). Impact Of Financial
Inclusion On Economic Growth In Pakistan. Pakistan:
Pakistan Economic and Social Review.
Alimirruchi, W. (2017). Analyzing Operational and
Financial Performance on the Financial Technology
(Fintech) Firm. Semarang: Diponegoro University
Amaliyah, R., & Wistiatuti, R. S. (2015). Analysis Of
Factors Affecting The Level Of Financial Literation In
Tegal City MSMEs. Semarang: Department of
Management, Faculty of Economics, Semarang State
University, Indonesia.
Annisa, Y. N., Setyadi, S., & Arifin, S. (2019). Determining
Factors Of Financial Inclusion In Indonesia. Indonesia:
Sultan Ageng Tirtayasa University.
Aribawa, D. (2016). The Effect Of Financial Literation On
The Performance And Sustainability Of MSMEs In
Central Java. Yogyakarta: Atma Jaya Yogyakarta
University.
Atkinson, A., & Messy, F.-A. (2015). Measuring Financial
Literacy: Results of the OECD / International Network
on Financial Education (INFE) Pilot Study. OECD
Publishing.
Bank Indonesia. (2014, January 27). Inclusive Finance
Booklet. Retrieved from www.bi.go.id: www.bi.go.id
Chen, H., & Volpe, R. P. (1998). An analysis of personal
financial literacy among college students. Financial
Services Review, 7 (1), 107–128.
Demirguc-Kunt, A., Beck, T., & Honohan, P. (2015).
Finance for All Policies and Pitfalls in Expanding
Access. Washington: World Bank.
Dorftleitner, Hornuf, Schmitt, & Weber. (2017, Sunday
March). Coursehero.com. Retrieved from Coursehero:
http://www.coursehero.com
Evans, O., & Adeoye, B. (2016). Determinants of Financial
Inclusion in Africa: A Dynamic Panel Data Approach.
Africa: University of Mauritius Research Journal.
Fanta, A. B., & Mutsonziwa, K. (2016). Gender and
Financial Inclusion: Analysis of financial inclusion of
women in the SADC region. SADC: FinMark Trust.
Fauzan, & Ahmad. (2019). The Role of Financial
Technology in Improving Inclusive Finance in
MSMEs. . BJB University Journal, 5 (5), 1–14.
Hair, J., Black, W., Babin, B., & Anderson, R. (2019).
Multivariate Data Analysis: A Global Perspective.
Louisiana: Pearson.
Hsueh. (2017, March 10). Coursehero.com. Retrieved from
course hero: http://www.coursehero.com.
Culture, K. P. (2016). School Literacy Movement Pocket
Book. Jakarta: Ministry of Education and Culture.
Mwathi, A. W., Kubasu, A., & Akuno, N. R. (2019). Effects
of Financial Literacy on Personal Financial Decisions
among Egerton University Employees, Nakuru County,
Kenya. Kenya: International Journal of Economics,
Finance and Management Sciences.
Financial Services Authority. (2015, February 2018). OJK
creates financial habitats for students to become
financially literate. Retrieved from Consumer
Education: http://sikapiuangmu.ojk.go.id/
Financial Services Authority. (2016). Presidential
Regulation of the Republic of Indonesia Number 82 of
2016 concerning the National Strategy for Financial
Inclusion (SNKI). Jakarta: Financial Services
Authority.
Financial Services Authority. (2016). National Survey of
Financial Literacy and Inclusion. Jakarta: Financial
Services Authority.
ICRI 2021 - International Conference on Recent Innovations
78
Pribadino, Law, One, & the West. (2016, Sunday March).
Coursehero.com. Retrieved from Coursehero:
http://www.coursehero.com
Richard M, K., Stephen I, N., Josphat K, K., & David N, K.
(2016). The Influence of Demographic Characteristics
on Investment on Financially Included Youth in Nyeri
and Kirinyaga Counties. International Journal of
Academic Research in Accounting, Finance and
Management Sciences ,, Human Resource Management
Academic Research Society, International Journal of
Academic Research in Accounting, Finance and
Management Sciences, vol. 6 (4), pages 196-204.
Sanistasya, P. A., Raharjo, K., & Iqbal, M. (2019). The
Effect of Financial Literacy and Financial Inclusion on
Small Enterprises Performance in East Kalimantan.
Indonesia: Faculty of Administrative Sciences,
Brawijaya University.
Sari, A. N., & Kautsar, A. (2020). Analysis of the Influence
of Financial Literacy, Financial Technology, and
Demography on Financial Inclusion in Communities in
the City of Surabaya. Surabaya: State University of
Surabaya.
Sari, P. B., & Dwilita, H. (2018). Financial Technology
(Fintech) Prospects In North Sumatera Viewing From
The Side Of Financial Literation, Financial Inclusion
And Poverty. Medan: Accounting, Faculty of
Economics & Business, Pancabudi Development
University.
Spielhofer, T., Benton, T., Evans, K., Featherstone, G.,
Golden, S., Nelson, J., & Smith, P. (2009). Increasing
Participation: Understanding Young People who do not
Participate in Education or Training at 16 and 17.
United State of America: National Foundation for
Educational Research.
Steelyana, E. (2013). Women and Banking: An overview of
the Role of Financial Inclusion in Women MSME
entrepreneurs in Indonesia. Journal of The Winners
Vol. 14 No.2., 95-103.
Sugiyono. (2010). Research and Development Methods.
Research and Development. Bandung: Alfabeta
Publisher.
Yoshino, N., & Morgan, P. (2017). Financial Inclusion,
Regulation, and Education. China: Asian Development
Bank Institute.
Zia, I. Z., & Prasetyo, P. (2018). Analysis of Financial
Inclusion Toward Poverty and Income Inequality.
Semarang: Development Economics Department,
Faculty of Economics, Semarang State University.
The Effect of Financial and Financial Technology Literation on Financial Inclusion
79