Authors :
Mulyono, Mulyono
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/y2daat9f
Scribd :
https://tinyurl.com/y42syer2
DOI :
https://doi.org/10.38124/ijisrt/25dec1272
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 investigates the utilization of Large Language Models (LLMs) in designing financial management
systems for rural private madrasah in Indonesia. Rural private madrasah faces unique financial challenges, including
limited government funding, dependence on community contributions, and lack of professional financial management
expertise. This research employs a mixed-method approach combining Systematic Literature Review (SLR) and a single
qualitative case study for preparation of simulation at Madrasah Ibtidaiyah Ulul Albab, Prayungan Village, Sawoo District,
Ponorogo Regency, East Java. The SLR analyzed 45 relevant articles from 2020-2024 databases including Scopus, Web of
Science, and Google Scholar. The case study involved in-depth interviews with 8 key informants, document analysis, and
participatory observation over six months. Findings reveal that LLMs can significantly contribute to financial management
design through budget planning optimization, financial report generation, cash flow analysis, and strategic fundraising
recommendations. The integration of LLMs increased financial planning efficiency by approximately 60% and reduced
administrative workload by 45%. However, challenges persist regarding digital literacy, infrastructure limitations, and
contextual understanding of local socio-economic conditions. This study proposes a conceptual framework for LLM-assisted
financial management specifically tailored for rural private madrasah, emphasizing the synergy between artificial
intelligence capabilities and human contextual judgment.
Keywords :
Large Language Models, Financial Management, Rural Madrasah, Mixed-Method, Islamic Education.
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This study investigates the utilization of Large Language Models (LLMs) in designing financial management
systems for rural private madrasah in Indonesia. Rural private madrasah faces unique financial challenges, including
limited government funding, dependence on community contributions, and lack of professional financial management
expertise. This research employs a mixed-method approach combining Systematic Literature Review (SLR) and a single
qualitative case study for preparation of simulation at Madrasah Ibtidaiyah Ulul Albab, Prayungan Village, Sawoo District,
Ponorogo Regency, East Java. The SLR analyzed 45 relevant articles from 2020-2024 databases including Scopus, Web of
Science, and Google Scholar. The case study involved in-depth interviews with 8 key informants, document analysis, and
participatory observation over six months. Findings reveal that LLMs can significantly contribute to financial management
design through budget planning optimization, financial report generation, cash flow analysis, and strategic fundraising
recommendations. The integration of LLMs increased financial planning efficiency by approximately 60% and reduced
administrative workload by 45%. However, challenges persist regarding digital literacy, infrastructure limitations, and
contextual understanding of local socio-economic conditions. This study proposes a conceptual framework for LLM-assisted
financial management specifically tailored for rural private madrasah, emphasizing the synergy between artificial
intelligence capabilities and human contextual judgment.
Keywords :
Large Language Models, Financial Management, Rural Madrasah, Mixed-Method, Islamic Education.