ANALYSIS OF BIG DATA-BASED FINANCIAL TECHNOLOGY AND AI ON FINANCIAL INCLUSION IN INDONESIA

Sari Asrini (Universitas Pembangunan Panca Budi)
Dwita Sakuntala (Universitas Pembangunan Panca)
Lia Nazliana Nasution (Universitas Pembangunan Panca Budi)

Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue

the effect of implementing Big Data and Artificial Intelligence (AI)-based financial technology on increasing financial inclusion in Indonesia during the period 2019–2024. The background of this study is based on the rapid increase in digital transformation in the financial sector triggered by the adoption of fintech, but there is still a gap in financial access, especially among low-income groups and disadvantaged regions. This study uses a quantitative approach with a panel data model, involving independent variables of Gross Regional Domestic Product (GRDP), education level, average internet access, fintech loan recipient entities, and the number of mobile banking users on the dependent variable of the Financial Inclusion Index. The data was obtained from official publications of the Financial Services Authority (OJK), Bank Indonesia (BI), and the Central Statistics Agency (BPS). The results of the analysis show that Big Data and AI have a positive and significant contribution to expanding financial inclusion through increased credit distribution efficiency, expanded access to digital services, and personalized financial products. However, their influence is still limited by gaps in digital literacy, infrastructure, and trust in data security. The findings of this study are expected to provide strategic input for regulators, fintech industry players, and academics in formulating technology-based inclusive policies to achieve sustainable national financial inclusion targets.