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Pattern Recognition of Zakat Optimization Potential Through Harmonization

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  • Bin Ramli, Muhammad Sukri

Abstract

The administration of Zakat in Malaysia operates as a highly sophisticated, multi-state macroeconomic engine serving a vital role in community empowerment and socioeconomic harmonization. However, its true systemic penetration and purchasing power are frequently obscured by fragmented state-level policies, varying regional thresholds, and data incompleteness. Despite nominal collections reaching record highs, the real socio-economic utility of these funds risks erosion due to underlying compliance and extraction models that are misaligned with inflation and national GDP. This paper bridges Islamic socio-finance with advanced data science to transition the ecosystem from traditional static accounting to algorithmic optimization, charting high-yield productivity vectors across demographic, asset, and corporate domains.

Suggested Citation

  • Bin Ramli, Muhammad Sukri, 2026. "Pattern Recognition of Zakat Optimization Potential Through Harmonization," SocArXiv e4xkn_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:e4xkn_v1
    DOI: 10.31219/osf.io/e4xkn_v1
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