ANALISIS ILUSI NUMERASI TERHADAP AKUMULASI UTANG MAJEMUK AKIBAT PERSEPSI RENDAH PADA BUNGA PINJAMAN ONLINE

Authors

  • Inaya Akbar Universitas Negeri Jakarta Author
  • Reny Ramadhani Universitas Negeri Jakarta Author
  • Selena Nuria Aline Universitas Negeri Jakarta Author
  • Tiara Husnul Khotimah Universitas Negeri Jakarta Author
  • Pinta Deniyanti Sampoerno Universitas Negeri Jakarta Author
  • Debby Agustine Universitas Negeri Jakarta Author

DOI:

https://doi.org/10.69714/yvdqba47

Keywords:

numeracy illusion, online loans, compound interest, mathematical literacy, exponential bias

Abstract

The rapid growth of online lending platforms in Indonesia has created new challenges in the form of systemic debt trap risks due to low financial literacy and cognitive biases. This study aims to analyze the influence of the illusion of numeracy on perceptions of online loan interest rates and its impact on the accumulation of compound debt. Using a qualitative method with a descriptive-analytical approach, data were collected through in-depth interviews with three categories of informants: mathematics students, non-mathematics students, and the general public. The findings reveal a strong phenomenon of the numeracy illusion, where informants tend to get trapped by the framing of small nominal numbers (daily interest) without converting time units or understanding the exponential nature of compound interest. Most informants use a linear thinking approach in estimating interest burdens, causing them to underestimate total financial obligations. This study concludes that critical mathematical literacy is not merely the ability to perform calculations, but rather the foundation of rationality in decision-making within the digital ecosystem. These results recommend the need for a mathematics education model that is more relevant to the contemporary financial context, as well as more transparent consumer protection policies. 

References

[1] Otoritas Jasa Keuangan. (2021). Strategi Nasional Literasi Keuangan Indonesia (SNLKI) 2021-2025, [Online]. Available: Strategi Nasional Literasi Keuangan Indonesia 2021-2025.pdf [Mei 27, 2026]

[2] R. H. Thaler and C. R. Sunstein, Nudge: The Final Edition. New York, NY, USA: Penguin Books, 2021, pp. 45-67.

[3] V. Stango and J. Zinman, “Exponential growth bias and household finance,” The Journal of Finance, vol. 64, no. 6, pp. 2807–2849, Dec. 2009, https://doi.org/10.1111/j.1540-6261.2009.01518.x.

[4] T. Kaiser and A. Lusardi, “Financial literacy and financial education: An overview,” Journal of Financial Literacy, vol. 12, no. 1, pp. 15–38, Mar. 2024, https://doi.org/10.2139/ssrn.4803857.

[5] H. Chen and R. P. Volpe, “An analysis of personal financial literacy among college students,” Financial Services Review, vol. 7, no. 2, pp. 107–128, Jun. 1998, https://doi.org/10.1016/S1057-0810(99)80006-7.

[6] D. Fernandes, J. G. Lynch Jr., and R. G. Netemeyer, “Financial literacy, financial education, and downstream financial behaviors,” Management Science, vol. 60, no. 8, pp. 1861–1883, Aug. 2014, https://doi.org/10.1287/mnsc.2013.1849.

[7] M. M. Seldal and E. K. Nyhus, “Financial vulnerability and the use of digital payment methods,” International Journal of Bank Marketing, vol. 40, no. 3, pp. 450–468, May 2022, https://doi.org/10.1007/s10603-022-09512-9

[8] G. Gigerenzer, Calculated Risks: How to Know When Numbers Deceive You. New York, NY, USA: Simon & Schuster, 2002, pp. 12-35.

[9] S. Handayani, R. Kusuma, and F. Zahra, “Ilusi Nominal Kecil: Studi Eksperimental Persepsi Angka Desimal pada Iklan Keuangan Digital,” Jurnal Psikologi Kognitif dan Literasi Numerasi, vol. 9, no. 3, pp. 210–225, Sep. 2024, https://doi.org/10.22146/jpkln.2024.9302.

[10] R. H. Thaler, Misbehaving: The Making of Behavioral Economics. New York, NY, USA: W. W. Norton & Company, 2015, pp. 88-102.

[11] N. P. Sari and A. Rahmadani, “Analisis Dampak Bunga Majemuk dan Literasi Numerasi terhadap Perilaku Konsumsi Mahasiswa,” Jurnal Pendidikan Matematika, vol. 8, no. 2, pp. 112–125, Jul. 2024, https://doi.org/10.31004/jpm.v8i2.6543.

[12] L. A. Palinkas et al., “Purposeful sampling for qualitative data collection and analysis in mixed method implementation research,” Administration and Policy in Mental Health, vol. 42, no. 5, pp. 533–544, Sep. 2015, https://doi.org/10.1007/s10488-013-0528-y.

[13] Ruslin, S. Mashuri, M. S. A. Rasak, F. Alhabsyi, and H. Syam, “Semi-structured Interview: A Methodological Reflection on the Development of a Qualitative Research Instrument in Educational Studies,” IOSR Journal of Research & Method in Education (IOSR-JRME), vol. 12, no. 1, pp. 22–29, Jan.–Feb. 2022, http://repository.uindatokarama.ac.id/id/eprint/1247/.

[14] S. Mullainathan and E. Shafir, Scarcity: Why Having Too Little Means So Much. New York, NY, USA: Times Books, 2013,pp. 110-125, https://doi.org/10.1080/10911359.

Downloads

Published

2026-07-13

How to Cite

ANALISIS ILUSI NUMERASI TERHADAP AKUMULASI UTANG MAJEMUK AKIBAT PERSEPSI RENDAH PADA BUNGA PINJAMAN ONLINE (Inaya Akbar, Reny Ramadhani, Selena Nuria Aline, Tiara Husnul Khotimah, Pinta Deniyanti Sampoerno, & Debby Agustine, Trans.). (2026). Jurnal Ilmiah Multidisiplin Ilmu, 3(3), 309-315. https://doi.org/10.69714/yvdqba47