Digitalisasi QRIS, BI-Fast, dan APBN dalam Mendukung Kebijakan Moneter dan Fiskal Indonesia

This research focuses on the implementation of the QRIS payment system, BI-Fast services, and the digitalization of the management of the State Budget (APBN) through SPAN, as well as how digitalization aids the success of monetary and fiscal policies in Indonesia. The lives of the Indonesian people are now significantly influenced by digital transformation in recent years, which has helped to increase household consumption and the economic resilience of the country. This study employs descriptive qualitative research aimed at analyzing the impact of digitalization on the effectiveness of macroeconomic policies, both monetary and fiscal. Descriptive research was chosen because this study focuses on explaining phenomena rather than seeking associations between variables. The results indicate that the implementation of digital payment systems has improved financial inclusion, transaction efficiency, and transparency in the management of the state budget. Despite challenges in implementation, such as lengthy bureaucracy and the potential for budget misuse, digitalization through SPAN is expected to accelerate the payment and disbursement processes. Future research will focus on exploring social impacts, investigating effective collaborations, and creating a digital ecosystem.

Authors

Institutions

Publication Details

Journal
Jurnal Ekonomi Manajemen dan Bisnis (JEMB)
Published
2025-06-20
DOI
https://doi.org/10.47233/jemb.v4i1.2937
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalisasi QRIS, BI-Fast, dan APBN dalam Mendukung Kebijakan Moneter dan Fiskal Indonesia

Azmal Hali, Halimahtus Sadiah, Zahra Devina Dewi, Muhammad Zhafran Syahputra et al.
Jurnal Ekonomi Manajemen dan Bisnis (JEMB)
Economic Growth and Fiscal Policies
article

Digitalisasi QRIS, BI-Fast, dan APBN dalam Mendukung Kebijakan Moneter dan Fiskal Indonesia

Azmal Hali, Halimahtus Sadiah, Zahra Devina Dewi, Muhammad Zhafran Syahputra, Valendra Desilva, Ahmad Setiawan Nuraya
article en

Abstract

This research focuses on the implementation of the QRIS payment system, BI-Fast services, and the digitalization of the management of the State Budget (APBN) through SPAN, as well as how digitalization aids the success of monetary and fiscal policies in Indonesia. The lives of the Indonesian people are now significantly influenced by digital transformation in recent years, which has helped to increase household consumption and the economic resilience of the country. This study employs descriptive qualitative research aimed at analyzing the impact of digitalization on the effectiveness of macroeconomic policies, both monetary and fiscal. Descriptive research was chosen because this study focuses on explaining phenomena rather than seeking associations between variables. The results indicate that the implementation of digital payment systems has improved financial inclusion, transaction efficiency, and transparency in the management of the state budget. Despite challenges in implementation, such as lengthy bureaucracy and the potential for budget misuse, digitalization through SPAN is expected to accelerate the payment and disbursement processes. Future research will focus on exploring social impacts, investigating effective collaborations, and creating a digital ecosystem.

Jurnal Ekonomi Manajemen dan Bisnis (JEMB)Vol. 4(1)
Bank Indonesia (ID)
Openalex Percentile: Top 76%
Economic Growth and Fiscal Policies
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.