Digital Integration of Zakat Management Systems in Islamic Fiscal Policy: An Evidence-Based Conceptual Framework

Zakat can complement public expenditure in addressing socioeconomic vulnerability, yet the records needed to examine their regional relationship remain dispersed across institutions. This study develops an evidence-based conceptual framework for integrating zakat management information, realized regional government expenditure (APBD), and socioeconomic indicators in Indonesia. Drawing on Design Science Research and qualitative document analysis, the study derives five functional and three non-functional requirements and translates them into a four-layer architecture comprising institutional data sources, integration and standardization, analytical information services, and fiscal monitoring outputs. The architecture proposes authorized data exchange, schema mapping, fund classification, geographic and temporal alignment, and cross-cutting governance controls. Three desk-based scenarios examine regional comparisons, the separation of zakat and APBD accounts, and the handling of inconsistent or restricted records. All eight requirements are mapped to architectural components, with four assessed as supported and four as partially supported at the design level. The framework offers a basis for coordinated fiscal analysis without transferring institutional financial authority, although operational feasibility and policy effects remain unverified.

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Publication Details

Journal
Electronic Integrated Computer Algorithm Journal
Published
2026-10-31
DOI
https://doi.org/10.62123/enigma.v4i1.245
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Integration of Zakat Management Systems in Islamic Fiscal Policy: An Evidence-Based Conceptual Framework

Yadi Janwari, Brial Asif Hayi Paka, Egi Al Fansyah, Muharman Lubis et al.
1 links
Electronic Integrated Computer Algorithm Journal
E-Government and Public Services
article

Digital Integration of Zakat Management Systems in Islamic Fiscal Policy: An Evidence-Based Conceptual Framework

Yadi Janwari, Brial Asif Hayi Paka, Egi Al Fansyah, Muharman Lubis, Sofian Al Hakim
article en

Abstract

Zakat can complement public expenditure in addressing socioeconomic vulnerability, yet the records needed to examine their regional relationship remain dispersed across institutions. This study develops an evidence-based conceptual framework for integrating zakat management information, realized regional government expenditure (APBD), and socioeconomic indicators in Indonesia. Drawing on Design Science Research and qualitative document analysis, the study derives five functional and three non-functional requirements and translates them into a four-layer architecture comprising institutional data sources, integration and standardization, analytical information services, and fiscal monitoring outputs. The architecture proposes authorized data exchange, schema mapping, fund classification, geographic and temporal alignment, and cross-cutting governance controls. Three desk-based scenarios examine regional comparisons, the separation of zakat and APBD accounts, and the handling of inconsistent or restricted records. All eight requirements are mapped to architectural components, with four assessed as supported and four as partially supported at the design level. The framework offers a basis for coordinated fiscal analysis without transferring institutional financial authority, although operational feasibility and policy effects remain unverified.

Electronic Integrated Computer Algorithm JournalVol. 4(1)
Sunan Gunung Djati State Islamic University Bandung (ID), Telkom University (ID), Erciyes University (TR)
Peace, justice, and strong institutions
Openalex Percentile: Top 4%
E-Government and Public Services
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Digital Integration of Zakat Management Systems in Islamic Fiscal Policy: An Evidence-Based Conceptual Framework — Yadi Janwari, Brial Asif Hayi Paka, et al. · Electronic Integrated Computer Algorithm Journal (2026) | TGRS Research Map | TGRS