Strategic Planning for Generative AI Utilization to Design Financing Management for Islamic Education Foundations in Indonesia


Authors : Mulyono, Mulyono

Volume/Issue : Volume 10 - 2025, Issue 12 - December


Google Scholar : https://tinyurl.com/4amrmwkk

Scribd : https://tinyurl.com/558xmm4u

DOI : https://doi.org/10.38124/ijisrt/25dec1131

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This study aims to formulate a strategic plan for financing management for the Islamic Education Foundation (YPI) through the utilization of Generative AI for the 2025-2035 period. Using a mixed methods approach, this study integrates a Systematic Literature Review (SLR) to build a conceptual model of AI's role with a qualitative case study of the Ulul Albab Social Education and Da'wah Foundation in Malang City, East Java, Indonesia. The SLR findings identify the crucial role of Generative AI in donation prediction, accountability automation, and strategic scenario design. Meanwhile, analysis of the Ulul Albab Foundation reveals a reliance on traditional funding and limited long-term projections. Through prompt engineering, Generative AI successfully designed an "Adaptive Balance Scenario" as the most feasible roadmap, combining philanthropic automation with diversification of independent business units. This study concludes that Generative AI functions as a strategic designer, transforming financial management from a reactive to a proactive and data-centric approach. Its gradual implementation over a decade is key to achieving sustainable and resilient financial independence for foundations.

Keywords : Generative AI, Financial Management, Islamic Education Foundation, Strategic Planning, Islamic Philanthropy.

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This study aims to formulate a strategic plan for financing management for the Islamic Education Foundation (YPI) through the utilization of Generative AI for the 2025-2035 period. Using a mixed methods approach, this study integrates a Systematic Literature Review (SLR) to build a conceptual model of AI's role with a qualitative case study of the Ulul Albab Social Education and Da'wah Foundation in Malang City, East Java, Indonesia. The SLR findings identify the crucial role of Generative AI in donation prediction, accountability automation, and strategic scenario design. Meanwhile, analysis of the Ulul Albab Foundation reveals a reliance on traditional funding and limited long-term projections. Through prompt engineering, Generative AI successfully designed an "Adaptive Balance Scenario" as the most feasible roadmap, combining philanthropic automation with diversification of independent business units. This study concludes that Generative AI functions as a strategic designer, transforming financial management from a reactive to a proactive and data-centric approach. Its gradual implementation over a decade is key to achieving sustainable and resilient financial independence for foundations.

Keywords : Generative AI, Financial Management, Islamic Education Foundation, Strategic Planning, Islamic Philanthropy.

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Paper Submission Last Date
31 - January - 2026

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