Utilizing AI In Indonesia's Financial Sector: Strategies For Inclusive Economic Development

The paper explores the revolutionary potential of Artificial Intelligence (AI) in Indonesia's financial ecosystem, highlighting its capacity to improve operational efficiency, foster financial inclusion, and tackle specific socio-economic concerns. This study emphasizes Indonesia's varied demographic and digital environment, illustrating how AI-driven innovations like decentralized finance (DeFi), predictive analytics, and blockchain integration transform financial products to cater to disadvantaged people. This study utilizes over 20 scholarly publications and international case studies to highlight the strategic significance of promoting ethical AI practices, mitigating algorithmic bias, and closing infrastructural and talent disparities to achieve sustainable and inclusive economic growth. The results support implementable methods, such as public-private collaborations, strong regulatory structures, and AI-driven individualized financial solutions, to optimize the advantages of digital transformation in Indonesia's financial industry. Future research must emphasize empirical investigations into AI's capacity to mitigate financial inequalities and stimulate regional innovation, thereby establishing Indonesia as a frontrunner in AI-facilitated economic transformation.

Authors

Institutions

Publication Details

Journal
Journal Integration of Social Studies and Business Development
Published
2025-03-07
DOI
https://doi.org/10.58229/jissbd.v3i1.286
Citations
1
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
2.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing AI In Indonesia's Financial Sector: Strategies For Inclusive Economic Development

Alfred Boediman, Raden Aswin Rahadi, Dzikri Firmansyah Hakam, Eko Susanto et al.
1 citations
Journal Integration of Social Studies and Business Development
FinTech, Crowdfunding, Digital Finance
2.28
article

Utilizing AI In Indonesia's Financial Sector: Strategies For Inclusive Economic Development

Alfred Boediman, Raden Aswin Rahadi, Dzikri Firmansyah Hakam, Eko Susanto, Yudo Anggoro, Kurnia Fajar Afgani, Gun Gun Indrayana
article en
1 citations

Abstract

The paper explores the revolutionary potential of Artificial Intelligence (AI) in Indonesia's financial ecosystem, highlighting its capacity to improve operational efficiency, foster financial inclusion, and tackle specific socio-economic concerns. This study emphasizes Indonesia's varied demographic and digital environment, illustrating how AI-driven innovations like decentralized finance (DeFi), predictive analytics, and blockchain integration transform financial products to cater to disadvantaged people. This study utilizes over 20 scholarly publications and international case studies to highlight the strategic significance of promoting ethical AI practices, mitigating algorithmic bias, and closing infrastructural and talent disparities to achieve sustainable and inclusive economic growth. The results support implementable methods, such as public-private collaborations, strong regulatory structures, and AI-driven individualized financial solutions, to optimize the advantages of digital transformation in Indonesia's financial industry. Future research must emphasize empirical investigations into AI's capacity to mitigate financial inequalities and stimulate regional innovation, thereby establishing Indonesia as a frontrunner in AI-facilitated economic transformation.

Journal Integration of Social Studies and Business DevelopmentVol. 3(1)
Bandung Institute of Technology (ID), Booth University College (CA), Partners In Care (US), Politeknik Negeri Bandung
Openalex Percentile: Top 13%
FinTech, Crowdfunding, Digital Finance
2.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utilizing AI In Indonesia's Financial Sector: Strategies For Inclusive Economic Development — Alfred Boediman, Raden Aswin Rahadi, et al. · Journal Integration of Social Studies and Business Development (2025) | TGRS Research Map | TGRS