Smart Zakat System Based on Big Data and Artificial Intelligence for Optimizing the Distribution of ZIS Funds (Zakat, Infaq, and Sadaqah) in Indonesia
DOI:
https://doi.org/10.21154/joipad.v6i1.13969Abstract
Introduction: The effectiveness of zakat distribution is still a major challenge in Islamic Social Finance (ISF), especially in ensuring the accuracy of mustahik targets and the fairness of fund allocation. Although digital transformation has increased the efficiency of collection and transparency of zakat management, its use in the distribution system is still limited and has not been optimally integrated. This research aims to develop a Smart Zakat System based on Big Data and Artificial Intelligence to optimize the distribution of ZIS (Zakat, Infaq, and Sadaqah) funds in Indonesia. Research Methods: This study uses a qualitative approach through Systematic Literature Review (SLR) to synthesize previous studies and identify the main components in the data-based zakat distribution system. Results: The results of the study show that a data-based zakat distribution system requires three main components, namely digital data infrastructure, an analytical system, and an intelligent distribution mechanism. Based on these findings, this study proposes a conceptual model consisting of three layers, namely the Data Input Layer, the Analytics Engine Layer, and the Smart Distribution Layer, which is equipped with a feedback loop mechanism to support an adaptive and sustainable system.
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