Almana : Jurnal Manajemen dan Bisnis Volume 8.
No.
2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
Factors Affecting the Financial Performance of MSMES: Financial Literacy.
Financial Inclusion.
Financial Self-Efficacy.
Financial Technology.
Credit Granting, and Intellectual Capital Christine1*.
Nizwan Zukhri2.
Darman Saputra3 University Bangka Belitung.
Indonesia*123 christine01012002@gmail.
com*1.
Anizwan_ubb@yahoo.
saputradarman1988@gmail.
Abstract: MSMEs are one of the economic icons that have the biggest impact on Indonesia's economic growth, especially when a crisis occurs.
MSMEs are able to get through monetary crises such as in 1998 and during the Covid-19 pandemic.
MSMEs are independent and have great potential to improve community welfare.
This research aims to examine the influence of the variableAos financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital on the financial performance of MSMEs in the Bangka Belitung Islands Province.
This research is quantitative research with an associative method using a quantitative approach from primary data through distributing questionnaires.
The sampling method was nonprobability sampling with a purposive sampling technique so that 102 MSME actors were obtained.
The data analysis technique uses SPSS version 26 software.
The research results prove that partial financial inclusion (X.
, financial technology (X.
, credit granting (X.
, and intellectual capital (X.
have a positive and significant effect on the financial performance of MSMEs, while financial literacy (X.
and financial selfefficacy (X.
do not have a positive and significant effect on the financial performance of MSMEs.
Simultaneously, the variables financial literacy, financial inclusion, financial selfefficacy, financial technology, credit granting, and intellectual capital have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands.
The R Square value in this research is 0.
885, so it is concluded that 88.
5% of the variation in the dependent variable can be explained by the independent variable and the remaining 11.
5% is influenced by other variables not examined in this research.
It is hoped that the research results can become reference material and motivation for MSMEs in improving the financial performance of their businesses.
Keywords:
Credit Granting.
Financial Inclusion.
Financial Literacy.
Financial Performance.
Financial Self-Efficacy.
Financial Technology.
Intellectual Capital.
MSMEs
INTRODUCTION
Micro.
Small, and Medium Enterprises (MSME.
are one of the icon economies that have the greatest impact on Indonesia's economic growth .
SMEs in Indonesia also have an important role in the economy, especially when a crisis occurs.
MSMEs are able to get through the monetary crisis like in 1998 and during the pandemic.
MSMEs are part of Indonesia's independent economy and have great potential to improve community welfare (Arifin et al.
, 2021.
Gumelar et , 2023.
Sari & Kusumawati, 2.
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
No.
2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
Figure 1.
Contribution of MSMEs to GDP .
Source: (KEMENKOPUKM, 2.
MSMEs are able to consistently contribute to the national Gross Domestic Product (GDP) in Indonesia (KEMENKOPUKM, 2.
According to (Hartanto & Pramuka, 2.
MSMEs made the highest contribution to investment, namely 60.
04 percent of total MSMEs contribute fully to the digital economy which is developing rapidly throughout the world by becoming local economic drivers that encourage economic growth (KEMENKOPUKM, 2.
Every region in Indonesia is experiencing the development and growth of MSMEs, including the Bangka Belitung Islands Province.
Figure 2.
Number of MSMEs in the Bangka Belitung Islands Province Source: Bangka Belitung Cooperatives and UMKM Service .
Based on Figure 2, it can be seen that from 2019 to 2023 the number of MSMEs in Bangka Belitung experienced fluctuations and significant growth in MSMEs in Bangka Belitung occurred in 2022, reaching 189,513 units.
The existence of MSMEs is a crucial tool because it has a big impact on economic growth and job creation and reduces poverty levels (BPS Babel, 2.
MSMEs as a vital tool for the national economy have a big role in economic growth in Bangka Belitung.
Bangka Belitung's economy in 2021 in the third quarter experienced growth of 6.
11 percent year on year, making Bangka Belitung the highest economic growth region in Sumatra (Babelprov.
id, 2.
Overall, the Bangka Belitung economy in 2021 grew by 5.
05 percent the previous year and in the 4th quarter of 2022, it also experienced growth of 4.
44 percent.
year on year (BPS Babel, 2.
The growth and development experienced by MSMEs is the result of the persistence of MSME players to survive and compete in various economic phenomena that occur.
The Bangka Belitung Integrated Business Service Center (PLUT) groups several MSMEs in Bangka Belitung into a list of potential MSMEs in Bangka Belitung so that assistance, empowerment, and budgeting are easier and more focused on MSMEs that are considered to have the ability or competitiveness to be empowered so that they can develop and progress further according to the characteristics of each business (Babelprov.
id, 2.
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
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2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
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Table 1.
List of Potential MSMEs in Bangka Belitung in 2022 Region Number of unit.
Pangkal Pinang City Bangka Regency West Bangka Regency Central Bangka Regency South Bangka Regency Belitung Regency East Belitung Regency Source: PLUT Babel .
Table 1 shows that in 2022 there will only be 0.
04 percent of MSMEs included in the list of potential MSMEs in Bangka Belitung out of 189,513 MSME units in the same Even though MSMEs are developing rapidly, not all MSMEs have potential because not all of them have the ability and competitiveness to be empowered, especially in the current era of digitalization, there are still many MSME actors who are technologically illiterate, making it difficult to develop and have effective management in production and finance (Babelprov.
id, 2.
Managing MSMEs requires reliable human resources and is supported by qualified financial aspects so that it will produce good and maximum financial performance (Nopiyani & Indiani, 2.
Finances that are managed well will produce maximum financial performance so that the business can continue to progress and develop.
order to increase the growth of MSMEs, every MSME actor needs to have knowledge capital, especially in financial aspects to produce maximum financial management so that the business can develop well (Idawati & Pratama, 2020.
Tanan & Dhamayanti.
Each MSME has its own problems and resilience.
Finance is one aspect of MSMEs that is very vulnerable to errors in its management.
In the process of surviving and developing.
MSMEs are often blocked by significant financial challenges, making finance the main obstacle faced by MSMEs (Anggraeni, 2.
(Ayustia et al.
, 2023.
Fauzan.
Mayasari, 2.
Financial performance or financial performance plays an important role in the development and progress of an MSME through improving financial management today.
Managing finances and improving the financial performance of a business cannot just be done without knowing what aspects or indicators are needed and have been proven to have an effect on improving a business's financial performance.
Based on existing literature, there are several other indicators that influence the financial performance of an MSME, namely financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital.
According to (Fadilah et al.
, 2.
(Rizkynanda et al.
, 2.
, variable financial literacy and financial technology regularly positively and significantly affect the financial performance of MSMEs.
Besides that, financial inclusion encourages MSME performance positively and significantly (Oke et al.
, 2.
Financial self-efficacy is well positive and significantly influences the financial performance of MSMEs (Asmin et al.
Temporary (Octaviani & Putri, 2.
, capital and credit granting affecting the financial performance of MSMEs.
Other research explains that managing intellectual capital will improve financial performance (Hasmirati & Akuba, 2.
There are many indicators that influence the financial performance of MSMEs.
From the results of several previous studies that have been carried out, it is concluded that there is no consistency in the results of the indicators or variables that have been Previous research only used a few indicators and there has been no research Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
No.
2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
related to all indicators that have been tested and proven to have an influence on the financial performance of MSMEs in a region.
Therefore, researchers need to conduct further research to test the effect of financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital on the financial performance of MSMEs in Bangka Belitung in order to produce consistent findings and provide a more definite understanding of these indicators in influence MSME financial performance.
This research aims to gain a deeper understanding of financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital on the financial performance of MSMEs, especially MSMEs in Bangka Belitung.
It is hoped that the results obtained can be an encouragement to MSMEs and others in Bangka Belitung to have views regarding the improvements or improvements in financial performance that they need so that they are able to obtain good financial performance in order to continue to exist and even be able to immediately join in Potential MSMEs in Bangka Belitung.
This research was carried out to contribute to the development of knowledge in the field of MSME financial performance and provide a clearer understanding of the influence of financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital on the financial performance of MSMEs in the Bangka Belitung Islands Province.
METHODS
This research method is an associative method with a quantitative approach because it aims to determine the influence or relationship between two or more variables with data in the form of numbers which are then analyzed using statistical methods on the variables used in this research, namely independent variables (Financial Literacy (X.
Financial Inclusion (X.
Financial Self-Efficacy (X.
Financial Technology (X.
Credit Granting (X.
, and Intellectual Capital (X.
to the dependent variable .
inancial performance (Y)) in MSMEs in the Bangka Belitung Islands Province.
Researchers conducted research on MSMEs in the Bangka Belitung Islands Province, where the sample data was first collected through the Bangka Belitung Islands Province Micro.
Small and Medium Enterprises Cooperative Service, which was continued to the Integrated Business Service Center (PLUT) of the Bangka Belitung Islands Province.
This research activity started from the time the research proposal was ratified, namely from March to May 2024.
The research object in this research is MSMEs in the Bangka Belitung Islands Province.
The subjects in this research are MSME actors in the Bangka Belitung Islands Province, complemented by officials at the Micro.
Small, and Medium Enterprises Cooperative Service and PLUT of the Bangka Belitung Islands Province.
The population used in this research is all Micro.
Small, and Medium Enterprises in the Bangka Belitung Islands Province.
From a population of 199,974 MSME units in Bangka Belitung, there are 102 MSME units that have met the criteria for a representative sample and are the sample for this research.
The sampling technique in this research uses the method of Nonprobability Sampling with the technique of purposive sampling which is a method determining respondents to be used as respondents with certain predetermined criteria (Sugiyono.
The criteria in this research are .
MSMEs that are domiciled in the Bangka Belitung Islands Province.
MSMEs that are under the guidance of the Bangka Belitung Integrated Business Services Center (PLUT).
MSMEs that have business .
MSMEs that have business financial bookkeeping at least 2 .
MSMEs that have been running for at least 2 .
years, and .
MSMEs that apply technology in running their business.
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
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2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
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This research uses primary data.
Data collection methods were carried out by distributing questionnaires, interviews, and observations.
Data collection was carried out in three stages, namely: .
Distributing questionnaires to MSME players offline .
isiting MSMEs directl.
and online .
sing help Google for.
Conducting interviews to add .
Conducting direct observations of interview and questionnaire data as well as data at the Micro.
Small and Medium Enterprises Cooperatives Service, which was continued at PLUT Bangka Belitung Islands Province.
Figure 3.
Research Framework Source: Dewi.
L & Setiyono.
, 2022 and modified by researcher .
By looking at the theoretical framework processed by the researcher, the data analysis technique used in this research is quantitative analysis using assistance software SPSS 26 by carrying out: .
Descriptive Statistical Analysis.
Validity test.
Reliability test.
Normality test.
Multicollinearity test.
Heteroscedasticity test.
Test multiple linear regression analysis.
Partial test .
Simultaneous test .
Test coefficient determination (R.
RESULTS AND DISCUSSION
Results of Descriptive Statistical Analysis Table 2.
Results of Descriptive Statistical Analysis Descriptive Statistics of Research Variables Min Max Sum Mean Financial Literacy Financial Inclusion Financial Self-Efficacy Financial Technology Credit Granting Intellectual Capital Financial Performance Valid N .
Source: Research Results.
Processed Data .
Standard Deviation Table 2 shows that the amount of data or N used in this research is 102 which shows a description of each variable in the research it can be seen that the value mean is greater than the standard deviation value, so it can be concluded that the data Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
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ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
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deviation that occurs is low and the deviation value is flat for the variable financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, intellectual capital, and financial performance.
Validity and Reliability Test Results Table 3.
Validity and Reliability Test Results Variable Financial Literacy Financial Inclusion Financial SelfEfficacy Financial Technology Credit Granting Intellectual Capital Financial Performance Statement R Count R Table Status Cronbach Alpha X1.
0,812
0,164
Valid X1.
0,823
0,164
Valid X1.
0,815
0,164
Valid
0,974
X1.
0,768
0,164
Valid X1.
0,801
0,164
Valid X1.
0,808
0,164
Valid X2.
0,802
0,164
Valid X2.
0,792
0,164
Valid X2.
0,818
0,164
Valid
0,976
X2.
0,849
0,164
Valid X2.
0,858
0,164
Valid X2.
0,765
0,164
Valid X3.
0,808
0,164
Valid X3.
0,822
0,164
Valid X3.
0,821
0,164
Valid
0,973
X3.
0,809
0,164
Valid X3.
0,808
0,164
Valid X3.
0,820
0,164
Valid X4.
0,798
0,164
Valid X4.
0,840
0,164
Valid X4.
0,814
0,164
Valid
0,975
X4.
0,814
0,164
Valid X4.
0,824
0,164
Valid X4.
0,812
0,164
Valid X5.
0,820
0,164
Valid X5.
0,858
0,164
Valid X5.
0,812
0,164
Valid
0,974
X5.
0,837
0,164
Valid X5.
0,777
0,164
Valid X5.
0,817
0,164
Valid X6.
0,825
0,164
Valid X6.
0,859
0,164
Valid X6.
0,822
0,164
Valid
0,973
X6.
0,788
0,164
Valid X6.
0,835
0,164
Valid X6.
0,828
0,164
Valid
0,820
0,164
Valid
0,832
0,164
Valid
0,819
0,164
Valid
0,972
0,819
0,164
Valid
0,818
0,164
Valid
0,806
0,164
Valid Source: Research Results.
Processed Data .
Status Reliable Reliable Reliable Reliable Reliable Reliable Reliable Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
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ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
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The validity test is said to have passed if the calculated r-value> r table.
R table is obtained by the formula df = N-2.
Df is the amount respondent, then df = 102 - 2 or df = Then, the r table is obtained at a significance of 0.
05 or 5% with a one-sided test and the r table is obtained at 0.
Based on the test results in Table 3, it shows that all statements from variables X1.
X2.
X3.
X4.
X5.
The reliability test is declared accepted or passed if the value CronbachAos Alpha > 6 (Sugiyono, 2.
According to (Ekinci et al.
, 2.
CronbachAos Alpha value > 0.
is categorized as perfect reliability.
Based on Table 3, it can be seen that all variables were declared to have passed the reliability test and were declared reliable or trustworthy because of their value CronbachAos Alpha on each variable > 0.
6 so reliability is accepted with the category for all variables having perfect reliability.
Normality Test Results In this study, researchers used the normality test method Normal Probability Plot, and methods Kolmogorov-Smirnov.
Decision-making on the test Normal Probability Plot is carried out based on the criteria that if the data spreads around the diagonal line and follows the direction of the diagonal line or histogram graph, showing a normal distribution pattern, then the regression model meets the assumption of normality.
Figure 4.
Normality Test Histogram Graph Source: Research Results.
Processed Data .
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
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ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
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Figure 5.
Normality Test Results Normal Probability Plot Source: Research Results.
Processed Data .
Based on Figure 4 which shows the histogram graph, it can be seen that the histogram does not deviate to the right and left, the histogram graph curve follows a normal distribution graph pattern.
So, it can be concluded that the data tested is normally Based on Figure 5, it can also be seen that the points are spread out and follow the direction of the diagonal line, so it can be stated that the regression model used in this research meets the normality assumption.
Apart from using graphic analysis, the results of the normality test in this study were also strengthened using the Kolmogorov-Smirnov method.
This is due to the method normal probability plot tends to contain relative interpretations.
Therefore, in this study, the researchers also tested the normality of the data using the Kolmogorov-Smirnov statistical method so that interpretations related to the research results were further strengthened.
Table 4.
Normality Test Results of the Kolmogorov-Smirnov Method One-Sample Kolmogorov-Smirnov Test Normal Parameters a,b Most Extreme Differences Mean Std.
Deviation Absolute Positive Negative Test Statistic Asymp.
Sig.
-taile.
Test distribution is Normal.
Calculated from data.
Lilliefors Significance Correction.
Source: Research Results.
Processed Data .
Unstandardized Residual In the normality test, if significance is > 0.
05 then the data is normally distributed.
Based on Table 4, it can be seen that the significance value of the Kolmogorov-Smirnov test is 0.
108, which means that the variable financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital to financial Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
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ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
performance has data that is normally distributed because the significance value of 0.
is greater than 0.
So, it can be concluded that the residuals of the regression model in this study are normally distributed so that the assumption of residual normality has been fulfilled.
Multicollinearity Test Results Table 5.
Multicollinearity Test Results Variable Tolerance VIF
Conclusion Financial Literacy 0,140 7,165 Non-multicollinearity Financial Inclusion
0,201
4,974
Non-multicollinearity Financial Self-Efficacy 0,130 7,719 Non-multicollinearity Financial technology 0,157 6,380 Non-multicollinearity Credit Granting 0,159 6,290 Non-multicollinearity Intellectual Capital 0,136 7,326 Non-multicollinearity Source: Research Results.
Processed Data .
The multicollinearity test is declared passed if the value tolerance > 0.
1 and the VIF value < 10, which means that there is no multicollinearity or the regression model in this study is free from multicollinearity.
Based on Table 5 it can be seen that the value tolerance of each independent variable is greater than 0.
10 and the VIF value of each variable is smaller than 10.
So, it can be concluded that all independent variables in this study do not occur in multicollinearity between independent variables because all independent variables in this study have values tolerance > 0.
1 and VIF < 10.
Researchers conclude that the non-multicollinearity assumption for the regression model has been met.
Heteroscedasticity Test Results This research analyzes the heteroscedasticity test using a graph scatter plot by looking at the pattern on the graph.
If there is no particular pattern and it does not spread above or below zero on the y-axis, then there is no heteroscedasticity in the research.
Figure 6.
Heteroscedasticity Test Results (Graph Scatterplo.
Source: Research Results.
Processed Data, 2024 Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
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Figure 6 shows that on the graph scatter plot, the points do not overlap and spread randomly or irregularly above or below the number 0 on the Y axis.
So, it can be concluded that there is no heteroscedasticity problem in the regression model so the regression model is suitable for use.
Multiple Linear Regression Analysis Test Results Table 6.
Multiple Linear Regression Analysis Test Results Variable Unstandardized Coefficients (B) Significance (Constan.
Financial Literacy Financial Inclusion Financial Self-Efficacy Financial Technology Credit Granting Intellectual Capital Source: Research Results.
Processed Data .
Based on the test results listed in Table 6, it can be concluded that the multiple linear regression equation is as follows:
Y = -0,415 - 0,053X1 0,298X2 0,078X3 0,213X4 0,230X5 0,254X6
The results of the multiple linear regression equation provide the understanding The constant of -0.
415 explains that if financial literacy (X.
, financial inclusion (X.
, financial self-efficacy (X.
, financial technology (X.
, credit granting (X.
, and intellectual capital (X.
value is equal to 0 .
, then the financial performance (Y) has Variable regression coefficient financial literacy (X .
of - 0.
053 explains that if the variable financial literacy (X.
increases by 1%, then the value financial performance (Y) will decrease or decrease by 0.
053 assuming the other independent variables remain Variable regression coefficient financial inclusion (X .
298 explains that if the variable financial inclusion (X.
increases by 1%, then the value financial performance (Y) will increase or experience an increase of 0.
298 assuming the other independent variables remain constant.
Variable regression coefficient financial self-efficacy (X.
078 explains that if the variable financial self-efficacy (X.
increases by 1%, then the value of profit growth (Y) will increase or experience an increase of 0.
078 assuming the other independent variables remain constant.
Variable regression coefficient financial technology (X .
213 explains that if the variable financial technology (X.
increases by 1%, then the value financial performance (Y) will increase or experience an increase of 0.
213 assuming the other independent variables remain constant.
Variable regression coefficient credit granting (X .
230 explains that if the variable credit granting (X.
increases by 1%, then the value financial performance (Y) will increase or experience an increase of 0.
230 assuming the other independent variables remain constant.
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
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Variable regression coefficient intellectual capital (X.
254 explains that if the variable intellectual capital (X.
increases by 1%, then the value financial performance (Y) will increase or experience an increase of 0.
254 assuming the other independent variables remain constant.
Partial Test Results .
Table 7.
Partial Test Results .
Variable Mark T Count Significance Value Financial Literacy Financial Inclusion Financial Self-Efficacy Financial Technology Credit Granting Intellectual Capital Source: Research Results.
Processed Data .
Based on Table 7, it can be concluded that the results of the t-statistical test on the hypotheses in this research are as follows:
Variable Financial Literacy H01 = If tcount < ttable and level significance > 0,05 for financial literacy does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Ha1 = If tcount > ttable and level significance < 0,05 for financial literacy positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Based on the results of the t-test calculations in Table 7, the obtained tcount for variables financial literacy (X.
571 smaller than ttable 1.
661 and with a significance value of 0.
569 which is greater than 0.
Shows that H 01 accepted and Ha1 rejected, so it is proven that the variable financial literacy does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Variable Financial Inclusion H02 = If tcount < ttable and level significance > 0,05 for financial inclusion does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Ha2= If tcount > ttable and level significance < 0,05 for financial inclusion positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Based on the results of the t-test calculations in Table 7, it is obtained t count for variables financial inclusion (X.
019 is greater than ttable 1.
661 and with a significance value of 0.
000 which is smaller than 0.
Shows that H02 is rejected and Ha2 is accepted, so it is proven that the variable financial inclusion has a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Variable Financial Self-Efficacy H03 = If tcount < ttable and level significance > 0,05 for financial self-efficacy does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
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Ha3= If tcount > ttable and level significance < 0,05 for financial self-efficacy positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Based on the results of the t-test calculations in Table 7, obtained tcount for variables financial self-efficacy (X.
809 smaller than ttable 1.
661 and with a significance value 420, greater than 0.
Shows that H03 accepted and Ha 3 rejected, so it is proven that the variable financial self-efficacy does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Variable Financial Technology H04 = If tcount < ttable and level significance > 0,05 for financial technology does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Ha4 = If tcount > ttable and level significance < 0,05 for financial technology positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Based on the results of the t-test calculations in Table 7, the obtained tcount for variables financial technology (X.
372 is greater than ttable 1.
661 and with a significance value of 0.
020 which is smaller than 0.
Shows that H 04 was rejected and Ha4 accepted, so it is proven that the variable financial technology has a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Variable Credit Granting H05 = If tcount < ttable and level significance > 0,05 for credit granting does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Ha5= If tcount > ttable and level significance < 0,05 for credit granting positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Based on the results of the t-test calculations in Table 7, the obtained tcount for variables credit granting (X.
728 is greater than Table 1.
661 and with a significance value of 0.
008 which is smaller than 0.
Shows that H05 was rejected and Ha5 accepted, so it is proven that the variable credit grants a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Variable Intellectual Capital H06 = If tcount < ttable and level significance > 0,05 for intellectual capital does not have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Ha6 = If tcount > ttable and level significance < 0,05 for an intellectual capital positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Based on the results of the t-test calculations in Table 7, the obtained tcount for variables intellectual capital (X.
687 is greater than Table 1.
661 and with a significance value of 0.
009 which is smaller than 0.
Shows that H 06 was rejected and Ha6 accepted, so it is proven that the variable intellectual capital has a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
No.
2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
Simultaneous Test Results .
Table 8.
Simultaneous Test Results .
Uji F Model 1 Regressi Residual Total Sum of Squares Mean Square Say.
Source: Research Results.
Processed Data .
The simultaneous test is carried out by comparing the F value and Ftable with a significance level of 5%.
If profitability <0.
05 then the independent variable partially has a significant effect on the dependent variable.
To find F table namely df1 = k Ae 1 = 7 Ae 1 = 6 and df2 = n Ae k = 102 Ae 7 = 95 with a significance level of 0.
So, the rate Ftable is 2,196.
If Fcount > Ftable then it can be said that the hypothesis is accepted and if the significance level is <0.
05 then it can be said that the independent variable has an effect on the dependent variable.
The F test is carried out to test the hypothesis:
H07 = If Fcount < Ftable and level significance > 0.
05 then simultaneously financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital do not have a positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Ha7= If tcount > ttable and level significance < 0.
05 then simultaneously financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital have positive and significant effects on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Based on Table 8 it can be seen that the value F count is equal to 130.
080 greater than Ftable with a value of 2.
196 and a significance value of 0.
000 which is smaller than the significance level of 0.
Shows that H 07 rejected and Ha7 accepted, so it can be concluded that financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital together .
have a positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province.
Test results Coefficient Determination (R.
Table 9.
Test Results Coefficient Determination (R.
Coefficient Determination Model R Square Adjusted R Square Std.
Error of the Estimate Source: Research Results.
Processed Data .
Table 10.
Y Standard Deviation Y Standard Deviation Financial Performance Valid Missing Std.
Deviation Source: Research Results.
Processed Data .
Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
No.
2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
In test coefficient determination, if the R2 value is closer to 1, the influence of the independent variable on the dependent variable will be stronger.
Based on Table 9, it can be seen that the R-value square amounts to 0.
891 so it can be concluded that 89.
of the variation in the dependent variable can be explained by the independent variable.
While value Adjusted R Square (Adjusted R.
885 or 88.
So, it can be concluded that simultaneously financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital can affect financial performance amounting to 88.
5% while the remaining 11.
5% were influenced by other variables not examined in this research.
Furthermore, it is also a visible Standard Error of the Estimate (SEE) of 1.
The smaller the SEE value, the more accurate the modal regression will be in predicting the dependent variable or can be interpreted as the value Standard Error of the Estimate the smaller the standard deviation of the independent variable, the better the regression model is at predicting the value of the independent variable.
In Table 10 it can be seen that the standard deviation of the independent variable, namely Y, is 3.
which is greater than the Standard Error of the Estimate .
845 > 1.
which means that the modal regression is increasingly precise in predicting variables' financial The research results show that simultaneously the variables financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital have a positive and significant effect on the financial performance of MSMEs in Bangka Belitung.
That is, if financial literacy, financial inclusion, financial selfefficacy, financial technology, credit granting, and intellectual capital together experience an increase, then the financial performance of MSMEs also increases.
The results of this research are supported by (Marini et al.
, 2.
(Hutauruk et al.
, 2024.
Monica & Ruzikna, 2024.
and Novitasari & Piliyanti, 2.
, which proves that there is an influence simultaneously financial literacy, financial inclusion, and financial technology on financial performance and is strengthened by research (Asmin et al.
, 2.
(Ayem & Wahidah, 2.
which proves that partially and simultaneously variables financial self-efficacy has a positive and significant effect on SME performance.
In addition, research by (Hasmirati & Akuba, 2022.
Kaka et al.
, 2.
(Artati, 2017.
Solechan, 2017.
Sudibya, 2.
also proves that credit granting and intellectual capital have a positive and significant effect on the financial performance of MSMEs.
Partially variable financial inclusion, financial technology, credit granting, and intellectual capital which are owned and applied by MSME players in managing their business finances proven to have an influence on financial performance in MSMEs in the Bangka Belitung Islands Province, meaning that MSMEs in the Bangka Belitung Islands Province own and utilize financial inclusion, financial technology, credit granting and intellectual capital, then it will produce financial performance good and maximum.
Meanwhile, variables financial literacy and financial self-efficacy partially have no positive and significant effect on the financial performance of MSMEs in the Bangka Belitung Islands Province, this is due to the low-level financial literacy and financial selfefficacy owned by MSME players in Bangka Belitung which makes them unable to manage their finances well due to a lack of understanding of financial management and a lack of confidence and self-confidence in their abilities in making financial-related Submitted: June 25, 2024.
Revised: -.
Accepted: August 01, 2024.
Published: August 20, 2024.
Website: http://journalfeb.
id/index.
php/almana/article/view/2602 Almana : Jurnal Manajemen dan Bisnis Volume 8.
No.
2/ August 2024, p.
ISSN 2579-4892 print/ ISSN 2655-8327 online DOI: 10.
36555/almana.
CONCLUSION
Based on the research results and discussion in this research, it can be concluded that partially the research results show that financial inclusion, financial technology, credit granting, and intellectual capital have positive and significant effects on the financial performance of MSMEs in the Bangka Belitung Islands Province, meanwhile financial literacy and financial self-efficacy does not have a positive and significant effect on financial performance MSMEs in the Bangka Belitung Islands Province.
Simultaneously financial literacy, financial inclusion, financial self-efficacy, financial technology, credit granting, and intellectual capital have positive and significant effects on the financial performance of MSMEs in the Bangka Belitung Islands Province.
REFERENCES