Pengaruh Literasi Keuangan dan Tingkat Pendidikan Terhadap Penggunaan Pinjaman Online Dengan Risiko Kredit Sebagai Variabel Moderasi

Authors

  • Ida Bagus Ade Putra Mulyawan Universitas Triatma Mulya
  • Gde Herry Sugiarto Asana Universitas Triatma Mulya
  • Laras Oktaviani Universitas Triatma Mulya

DOI:

https://doi.org/10.59086/jam.v4i1.739

Keywords:

financial literacy, education level, online loan, credit risk, MSMEs

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh literasi keuangan dan tingkat pendidikan terhadap penggunaan pinjaman online, dengan risiko kredit sebagai variabel moderasi. Kebaruan penelitian ini terletak pada integrasi variabel risiko kredit dalam memoderasi hubungan antara literasi keuangan dan tingkat pendidikan terhadap keputusan penggunaan pinjaman online pada pelaku Usaha Mikro, Kecil, dan Menengah (UMKM). Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Data dikumpulkan melalui kuesioner terhadap 99 pelaku UMKM di Kecamatan Denpasar Barat yang dipilih menggunakan teknik accidental sampling. Teknik analisis data yang digunakan adalah Moderated Regression Analysis (MRA) dengan bantuan perangkat lunak SPSS. Hasil penelitian menunjukkan bahwa literasi keuangan dan tingkat pendidikan berpengaruh positif terhadap penggunaan pinjaman online. Selain itu, risiko kredit terbukti mampu memoderasi pengaruh literasi keuangan dan tingkat pendidikan terhadap penggunaan pinjaman online. Kesimpulan dari penelitian ini menegaskan pentingnya peningkatan literasi keuangan dan pendidikan formal dalam pengambilan keputusan finansial digital. Implikasi teoritis dari penelitian ini memperluas pemahaman tentang peran faktor internal UMKM terhadap pembiayaan digital, sementara implikasi praktisnya memberikan acuan bagi pembuat kebijakan dan lembaga keuangan dalam merancang program edukasi dan pembiayaan yang lebih inklusif.This study aims to analyze the effect of financial literacy and education level on the use of online loans, with credit risk as a moderating variable. The novelty of this research lies in incorporating credit risk as a moderating factor in the relationship between financial literacy, education level, and the decision to use online loans among Micro, Small, and Medium Enterprises (MSMEs). A quantitative approach with a survey method was employed. Data were collected through questionnaires distributed to 99 MSME actors in West Denpasar District, selected using accidental sampling. The data were analyzed using Moderated Regression Analysis (MRA) with SPSS software. The results indicate that both financial literacy and education level positively influence online loan usage. Furthermore, credit risk significantly moderates the influence of financial literacy and education level on the use of online loans. The study concludes that enhancing financial literacy and formal education is crucial in digital financial decision-making. Theoretically, this study contributes to the understanding of internal MSME factors in digital financing behavior, while practically, it provides insights for policymakers and financial institutions in developing more inclusive financial literacy and credit risk management programs.

Downloads

Download data is not yet available.

References

Altman, E. I., & Saunders, A. (2019). Credit risk measurement: Developments over the last 20 years. Journal of Banking & Finance, 21(11–12), 1721–1742. https://doi.org/10.1016/S0378-4266(97)00036-8

Atkinson, A., & Messy, F. A. (2020). Promoting financial inclusion through financial education: OECD/INFE evidence, policies and practice (OECD Working Papers on Finance, Insurance and Private Pensions No. 34). OECD Publishing. https://doi.org/10.1787/5k3xz6m88smp-en

Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173

Chen, H., & Han, X. (2020). The growth of online lending in China: A modern financial miracle or a bubble? Finance Research Letters, 32, 101074. https://doi.org/10.1016/j.frl.2019.101074

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

Dempsey, J. R., & Dulitz, R. D. (2019). The fintech revolution: Impact on financial services. Journal of Digital Banking, 3(3), 251–266.

Duffie, D., & Singleton, K. J. (2012). Credit risk: Pricing, measurement, and management. Princeton University Press.

Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25. Badan Penerbit Universitas Diponegoro.

Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114–135. https://doi.org/10.2307/41166664

Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114–135. https://doi.org/10.2307/41166664

Hanushek, E. A., & Woessmann, L. (2020). The economic benefits of improving educational outcomes. OECD Education Working Papers, No. 189. https://doi.org/10.1787/5928b1e5-en

Huston, S. J. (2010). Measuring financial literacy. Journal of Consumer Affairs, 44(2), 296–316. https://doi.org/10.1111/j.1745-6606.2010.01170.x

Jagtiani, J., & Lemieux, C. (2018). The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform (Federal Reserve Bank of Philadelphia Working Paper Series No. 18–15). https://doi.org/10.21799/frbp.wp.2018.15

Lusardi, A., & Mitchell, O. S. (2017). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5

Lusardi, A., & Tufano, P. (2020). Debt literacy, financial experiences, and overindebtedness. Journal of Pension Economics and Finance, 19(1), 1–20. https://doi.org/10.1017/S1474747218000221

Otoritas Jasa Keuangan. (2023). Laporan perkembangan fintech lending 2023. OJK. https://www.ojk.go.id

Psacharopoulos, G., & Patrinos, H. A. (2018). Returns to investment in education: A decennial review of the global literature. Education Economics, 26(5), 445–458. https://doi.org/10.1080/09645292.2018.1484426

Remund, D. L. (2010). Financial literacy explicated: The case for a clearer definition in an increasingly complex economy. Journal of Consumer Affairs, 44(2), 276–295. https://doi.org/10.1111/j.1745-6606.2010.01169.x

Sugiyono. (2018). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.

Tambunan, T. T. H. (2019). UMKM di Indonesia: Masalah dan kebijakan. Jurnal Ekonomi dan Studi Pembangunan, 20(1), 1–15.

Van Rooij, M., Lusardi, A., & Alessie, R. (2018). Financial literacy and stock market participation. Journal of Financial Economics, 101(2), 449–472. https://doi.org/10.1016/j.jfineco.2011.03.006

World Bank. (2020). Indonesia economic prospects: The long road to recovery. World Bank Group. https://www.worldbank.org/en/country/indonesia/publication/indonesia-economic-prospects

Zhang, J., Liu, P., & Li, X. (2022). The role of credit risk in digital lending: Evidence from China. Journal of Financial Stability, 59, 100935. https://doi.org/10.1016/j.jfs.2022.100935

Downloads

Published

2025-04-30

How to Cite

Mulyawan, I. B. A. P., Gde Herry Sugiarto Asana, & Laras Oktaviani. (2025). Pengaruh Literasi Keuangan dan Tingkat Pendidikan Terhadap Penggunaan Pinjaman Online Dengan Risiko Kredit Sebagai Variabel Moderasi. Balance : Jurnal Akuntansi Dan Manajemen, 4(1), 236–245. https://doi.org/10.59086/jam.v4i1.739

Issue

Section

Articles