Income Perception, Interest Rate Perception, and Digital Microfinance Adoption: Micro-Enterprise Credit Decision-Making in Indonesia's KUR Program

Akbar Lufi Zulfikar, Antonius Felix, Selly Swandari, Imelda Veronica Gea

Abstract


Purpose. This study examines the influence of income perception and interest rate perception on Kredit Usaha Rakyat (KUR) uptake decisions among micro-entrepreneurs in Kecamatan Palaran, Samarinda, East Kalimantan, Indonesia, within the broader context of the ongoing digitalization of government-subsidized microfinance services.

Design/Methodology/Approach. A quantitative cross-sectional survey was conducted with 50 micro-enterprise owners selected through purposive sampling. Data were collected using a structured questionnaire comprising 12 Likert-scale items measuring income perception, interest rate perception, and KUR uptake decisions. A dual analytical approach was employed: SmartPLS 3.0 for measurement model validation (convergent validity and reliability) and SPSS 25.0 for hypothesis testing via multiple linear regression analysis, including F-tests, t-tests, and coefficient of determination (R²).

Findings. Income perception does not exert a statistically significant partial effect on KUR uptake decisions (B = 0.214, p = 0.072), while interest rate perception has a significant positive effect (B = 0.201, p = 0.046). Jointly, both variables significantly predict KUR uptake decisions (F = 22.621, p = 0.000), explaining 49.9% of the variance. The remaining 50.1% suggests the presence of additional determinants, potentially including digital financial literacy, platform usability, and digital trust.

Research Implications. The findings challenge the assumption that income perception is a universal predictor of microcredit behavior and suggest that digital financial platforms may diminish the salience of income-based credit barriers while amplifying the role of interest rate transparency through digital information mechanisms.

Practical Implications. Banks and fintech companies distributing KUR should prioritize transparent interest rate display, interactive loan simulators, and AI-powered chatbot advisory services on digital platforms. Policymakers should integrate digital financial literacy into national inclusion strategies.

Originality/Value. This study bridges classical microfinance theory with the emerging discourse on digital financial inclusion and AI-driven credit assessment, offering empirical evidence from an underrepresented Indonesian geographic context and proposing an AI-Enhanced KUR Distribution Framework for future policy design.

 

 


Keywords


Decision-Making; Interest Rate Perception; Digital Financial Inclusion; Enterprise; KUR Indonesia; Emerging Economy Microcredit Income Perception; Micro- Entrepreneurs

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DOI: https://doi.org/10.17509/ijdb.v5i4.97221

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