ISLAMIC PHILANTHROPY 5.0: HARNESSING BIG DATA AND AI FOR ZAKAT, WAQF, AND INFAQ OPTIMIZATION

Fattah Setiawan Santoso (1), Haruto Takahashi (2), Maria Clara Reyes (3)
(1) Universitas Cokroaminoto Yogyakarta, Indonesia,
(2) University of Tokyo, Japan,
(3) Ateneo de Manila University, Philippines

Abstract

Islamic Philanthropy 5.0 represents a transformative phase in the evolution of Islamic social finance, merging traditional faith-based giving mechanisms zakat, waqf, and infaq with advanced technologies such as Big Data analytics and Artificial Intelligence (AI). This study explores how data-driven systems can optimize resource mobilization, distribution efficiency, and accountability within the ecosystem of Islamic philanthropy. Using a qualitative-descriptive approach combined with case analysis from digital zakat and waqf platforms, the research highlights the potential of predictive analytics for identifying beneficiary needs, AI-based transparency frameworks for trust enhancement, and algorithmic models for equitable fund allocation aligned with maq??id al-shar?‘ah. The findings reveal that integrating AI and Big Data not only modernizes operational mechanisms but also redefines ethical governance through real-time decision support, impact measurement, and donor engagement. However, challenges remain regarding data privacy, digital ethics, and the theological boundaries of automation in religious financial practices. This paper concludes that Islamic Philanthropy 5.0 offers a paradigm shift toward evidence-based compassion—linking spiritual intent with technological precision—to build an inclusive, transparent, and sustainable model of socio-economic empowerment.

Full text article

Generated from XML file

References

Alhitmi, H. K. (2024). Data security and privacy concerns of AI-driven marketing in the context of economics and business field: An exploration into possible solutions. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2393743

Geerling, W. (2023). ChatGPT has Aced the Test of Understanding in College Economics: Now What? American Economist, 68(2), 233–245. https://doi.org/10.1177/05694345231169654

Grim, R. G. (2022). Electrifying the production of sustainable aviation fuel: The risks, economics, and environmental benefits of emerging pathways including CO2. Energy and Environmental Science, 15(11), 4798–4812. https://doi.org/10.1039/d2ee02439j

Hametner, M. (2022). Economics without ecology: How the SDGs fail to align socioeconomic development with environmental sustainability. Ecological Economics, 199(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.ecolecon.2022.107490

Hasni, R. (2023). Do financial development, financial stability and renewable energy disturb carbon emissions? Evidence from asia–pacific economic cooperation economics. Environmental Science and Pollution Research, Query date: 2025-11-03 02:30:16. https://doi.org/10.1007/s11356-023-28418-8

Iqbal, R. (2024). Comparative study based on techno-economics analysis of different shipboard microgrid systems comprising PV/wind/fuel cell/battery/diesel generator with two battery technologies: A step toward green maritime transportation. Renewable Energy, 221(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.renene.2023.119670

Iyengar, G. (2023). Economics of Permissioned Blockchain Adoption. Management Science, 69(6), 3415–3436. https://doi.org/10.1287/mnsc.2022.4532

Klein, B. C. (2023). Economics and global warming potential of a commercial-scale delignifying biorefinery based on co-solvent enhanced lignocellulosic fractionation to produce alcohols, sustainable aviation fuels, and co-products from biomass. Energy and Environmental Science, 17(3), 1202–1215. https://doi.org/10.1039/d3ee02532b

Krishna, V. V. (2023). Economics of Crop Residue Management. Annual Review of Resource Economics, 15(Query date: 2025-11-03 02:30:16), 19–39. https://doi.org/10.1146/annurev-resource-101422-090019

Kumar, R. (2022). Coupling Effects of Nitrogen and Irrigation Levels on Growth Attributes, Nitrogen Use Efficiency, and Economics of Cotton. Frontiers in Plant Science, 13(Query date: 2025-11-03 02:30:16). https://doi.org/10.3389/fpls.2022.890181

Mayyas, A. (2022). Economics of the Li-ion batteries and reversible fuel cells as energy storage systems when coupled with dynamic electricity pricing schemes. Energy, 239(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.energy.2021.121941

Mousa, G. A. (2022). Dietary Supplementation with a Combination of Fibrolytic Enzymes and Probiotics Improves Digestibility, Growth Performance, Blood Metabolites, and Economics of Fattening Lambs. Animals, 12(4). https://doi.org/10.3390/ani12040476

Poddar, R. (2022). Effect of irrigation regime and varietal selection on the yield, water productivity, energy indices and economics of rice production in the lower Gangetic Plains of Eastern India. Agricultural Water Management, 262(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.agwat.2021.107327

Raja, N. B. (2022). Colonial history and global economics distort our understanding of deep-time biodiversity. Nature Ecology and Evolution, 6(2), 145–154. https://doi.org/10.1038/s41559-021-01608-8

Rezaei, M. (2022). Economics of solar-based hydrogen production: Sensitivity to financial and technical factors. International Journal of Hydrogen Energy, 47(65), 27930–27943. https://doi.org/10.1016/j.ijhydene.2022.06.116

Rezaei, M. (2024). Economics of renewable hydrogen production using wind and solar energy: A case study for Queensland, Australia. Journal of Cleaner Production, 435(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.jclepro.2023.140476

Roy, J. J. (2024). Direct recycling of Li-ion batteries from cell to pack level: Challenges and prospects on technology, scalability, sustainability, and economics. Carbon Energy, 6(6). https://doi.org/10.1002/cey2.492

Ruiz-Hernando, M. (2022). Effect of ultrasonication on waste activated sludge rheological properties and process economics. Water Research, 208(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.watres.2021.117855

Salifu, I. (2024). Economics students’ behavioural intention and usage of ChatGPT in higher education: A hybrid structural equation modelling-artificial neural network approach. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2023.2300177

Topalovi?, Z. (2022). Economics of electric energy storage. The case of Western Balkans. Energy, 238(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.energy.2021.121669

Turner, R. A. (2022). Downscaling doughnut economics for sustainability governance. Current Opinion in Environmental Sustainability, 56(Query date: 2025-11-03 02:30:16). https://doi.org/10.1016/j.cosust.2022.101180

Yifu, L. J. (2022). Dual Circulation: A New Structural Economics view of development. Journal of Chinese Economic and Business Studies, 20(4), 303–322. https://doi.org/10.1080/14765284.2021.1929793

Zheng, Y. (2023). Deep learning in economics: A systematic and critical review. Artificial Intelligence Review, 56(9), 9497–9539. https://doi.org/10.1007/s10462-022-10272-8

Zhiznin, S. Z. (2023). Economics of hydrogen energy of green transition in the world and Russia.Part I. International Journal of Hydrogen Energy, 48(57), 21544–21567. https://doi.org/10.1016/j.ijhydene.2023.03.069

Authors

Fattah Setiawan Santoso
fattahs@ucy.ac.id (Primary Contact)
Haruto Takahashi
Maria Clara Reyes
Setiawan Santoso, F., Takahashi, H., & Reyes, M. C. (2025). ISLAMIC PHILANTHROPY 5.0: HARNESSING BIG DATA AND AI FOR ZAKAT, WAQF, AND INFAQ OPTIMIZATION. Journal Islamic Economic Minangkabau, 3(4), 205–214. https://doi.org/10.70177/jiem.v3i4.2623

Article Details