Zakat Transformation in the Era of Society 5.0: Technology Optimization for Sustainable Social Welfare

The Society 5.0 era marks a paradigm shift in the use of technology to address social challenges sustainably. In this context, zakat as an Islamic social financial instrument has undergone a significant transformation. This study aims to analyze the role of technology in optimizing zakat management to improve the social welfare of the community. The research method used is a qualitative study with a descriptive-analytical approach through literature studies and secondary data. The results of the study indicate that digitalization of zakat through online platforms, integrated information systems, and the use of big data and artificial intelligence can improve distribution efficiency, transparency, and accountability. Technology also allows for the personalization of mustahik empowerment programs, so that social interventions can be more targeted. However, this transformation faces various challenges, including community digital literacy, infrastructure limitations, and data security issues. Therefore, collaboration between the government, zakat institutions, and the technology sector is essential to create an inclusive and sustainable digital zakat ecosystem. This study recommends an integrative strategy that combines technological approaches, policies, and sharia values ​​in zakat management to achieve holistic and equitable social development goals in the Society 5.0 era.

Authors

Institutions

Publication Details

Journal
West Science Islamic Studies
Published
2025-04-30
DOI
https://doi.org/10.58812/wsiss.v3i02.1849
Primary Topic
Islamic Finance and Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zakat Transformation in the Era of Society 5.0: Technology Optimization for Sustainable Social Welfare

Riza Umami
West Science Islamic Studies
Islamic Finance and Communication
article

Zakat Transformation in the Era of Society 5.0: Technology Optimization for Sustainable Social Welfare

Riza Umami
article en

Abstract

The Society 5.0 era marks a paradigm shift in the use of technology to address social challenges sustainably. In this context, zakat as an Islamic social financial instrument has undergone a significant transformation. This study aims to analyze the role of technology in optimizing zakat management to improve the social welfare of the community. The research method used is a qualitative study with a descriptive-analytical approach through literature studies and secondary data. The results of the study indicate that digitalization of zakat through online platforms, integrated information systems, and the use of big data and artificial intelligence can improve distribution efficiency, transparency, and accountability. Technology also allows for the personalization of mustahik empowerment programs, so that social interventions can be more targeted. However, this transformation faces various challenges, including community digital literacy, infrastructure limitations, and data security issues. Therefore, collaboration between the government, zakat institutions, and the technology sector is essential to create an inclusive and sustainable digital zakat ecosystem. This study recommends an integrative strategy that combines technological approaches, policies, and sharia values ​​in zakat management to achieve holistic and equitable social development goals in the Society 5.0 era.

West Science Islamic StudiesVol. 3(02)
Alfaisal University (SA)
Openalex Percentile: Top 88%
Islamic Finance and Communication
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.