Smart Zakat Model: An Adaptive and Data-Driven Management System for Sustainable Economic Impact

Abstract

The growing needs of society and the complexity of economic dynamics demand a more modern, responsive, and evidence-based zakat management system. This research embodies an innovation through the development of the Smart Zakat Model, a zakat management model that combines the principle of adaptability with the use of multidimensional data as a basis for decision-making. This model is designed to address a number of weaknesses inherent in the current implementation of zakat management, such as the mismatch between allocations and the level of regional economic vulnerability, limited impact monitoring, and minimal use of technology to accurately map the needs of those entitled to receive zakat.

This model produces a more contextual and long-term development-oriented zakat allocation recommendation system using data on poverty, MSME characteristics, economic vulnerability indicators, and inter-regional zakat distribution patterns. The study used a computational approach to analyze data patterns and a qualitative approach to evaluate the institutional readiness of Amil institutions to adopt a data-driven system. The results indicate that the implementation of this model can improve response speed and distribution efficiency and expand economic impact by strengthening productive Zakat programs and digital-based empowerment.

Overall, this research confirms that transforming zakat into an adaptive, data-driven system is a crucial prerequisite for generating a more sustainable, inclusive, and measurable economic impact. The Smart Zakat Model not only offers a technical approach but also establishes a new framework for modern zakat governance that meets the needs of the contemporary economy.