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

Mulyono, Mulyono ORCID: https://orcid.org/0000-0002-4509-7390 (2025) Strategic Planning for Generative AI Utilization to Design Financing Management for Islamic Education Foundations in Indonesia. International Journal of Innovative Science and Research Technology, 10 (12). pp. 1559-1567. ISSN -2456-2165

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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.

Item Type:	Journal Article
Keywords:	Generative AI, Financial Management, Islamic Education Foundation, Strategic Planning, Islamic Philanthropy.
Subjects:	13 EDUCATION > 1301 Education Systems > 130101 Continuing and Community Education
Divisions:	Faculty of Tarbiyah and Teaching Training > Department of Islamic Education Management
Depositing User:	Dr. H. Mulyono, MA.
Date Deposited:	09 Feb 2026 14:00

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