Development of an Artificial Intelligence-Integrated School Financial Management Application
Keywords:
Artificial Intelligence, Financial Management, Natural Language, School Finance, VB.NETAbstract
Purpose: This study aims to address persistent inefficiencies in school financial management, particularly in recording accounts payable and receivable, by developing an integrated desktop-based financial management application that supports accuracy, efficiency, and transparency.
Subjects and Methods: The study focuses on school financial administration processes, with school treasurers as the primary users of the system. A desktop-based application was developed using Visual Basic .NET with SQLite as the database, following the Waterfall development model. To enhance usability, the system integrates an Artificial Intelligence (AI) Support feature based on Natural Language Processing (NLP). This feature allows users to input multiple financial transactions simultaneously using natural language commands, which are processed through a Rule-Based algorithm combined with Regular Expressions. System testing was conducted to evaluate functionality, efficiency, security, and output accuracy.
Results: The testing results show that the application significantly accelerates transaction recording, reduces human errors in data entry, and improves data security through encryption mechanisms. The AI-assisted input feature enables more flexible and intuitive interaction, while automated financial report generation ensures consistency and accuracy. These findings demonstrate that integrating AI into school financial systems can effectively streamline administrative workflows.
Conclusions: The study concludes that the proposed system provides a practical and scalable solution for improving school financial management. AI-assisted transaction input reduces workload and operational delays, while the structured database enhances traceability and long-term financial record management.
References
Amelia, I., Azzahra, Y. N., Abda, A., & Azmi, Z. (2024). Pemanfaatan Artificial Intelligence Dalam Akuntansi: Kajian Literatur Review. Akuntansi, 3(1), 129-140.
https://doi.org/10.55606/akuntansi.v3i1.1472
Appel, A. P., Malfatti, G. L., Cunha, R. L. D. F., Lima, B., & de Paula, R. (2020). Predicting account receivables with machine learning. arXiv preprint arXiv:2008.07363. https://doi.org/10.48550/arXiv.2008.07363
Azman, N. S., Abu Hassim, A., & Shamsudin, M. F. (2025). Financial Management Strategies and Challenges in Malaysian Educational Institutions: A Systematic Review of Educational Technology Integration. Journal Of Research, Policy & Practice of Teachers & Teacher Education (JRPPTTE), 15(1). https://doi.org/10.37134/jrpptte.vol15.1.6.2025
Bhawna, & Gupta, P. (2025). Empowering Financial Efficiency in India: Harnessing Artificial Intelligence (AI) for Streamlining Accounting and Finance. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes, 407-428. https://doi.org/10.1002/9781394271078.ch20
Bodily, R., & Verbert, K. (2017). Review of research on student-facing learning analytics dashboards and educational recommender systems. IEEE Transactions on Learning Technologies, 10(4), 405-418. https://doi.org/10.1109/TLT.2017.2740172
Bon, S. F., & Arthana, I. K. (2025). Transformasi Profesi Akuntan di Era Artificial Intelligence (AI): Systematic Literature Review. Juara: Jurnal Riset Akuntansi, 15(1), 21-32. https://doi.org/10.36733/juara.v15i1.11030
Breiter, A., & Light, D. (2006). Data for school improvement: Factors for designing effective information systems to support decision-making in schools. Journal of Educational Technology & Society, 9(3), 206-217.
Dawson, S., Heathcote, L., & Poole, G. (2010). Harnessing ICT potential: The adoption and analysis of ICT systems for enhancing the student learning experience. International Journal of Educational Management, 24(2), 116-128. https://doi.org/10.1108/09513541011020936
George, A. S., George, A. H., Baskar, T., & Sujatha, V. (2023). The rise of hyperautomation: a new frontier for business process automation. Partners Universal International Research Journal, 2(4), 13-35. https://doi.org/10.5281/zenodo.10403036
Ivana, I., & Soeherman, B. (2024). Ancaman Darurat Text Generative Artificial Intelligence pada Pendidikan Akuntansi. Jurnal Riset Akuntansi dan Keuangan, 12(1), 667-682.
Judijanto, L., Al-Amin, A. A., & Nurhakim, L. (2024). Implementasi Teknologi Artificial Intelligence dan Machine Learning dalam Praktik Akuntansi dan Audit: Sebuah Revolusi atau Evolusi. COSMOS: Jurnal Ilmu Pendidikan, Ekonomi dan Teknologi, 1(6), 470-483.
Khairunisa, T., & Suyatmini, S. (2024). Implementation of AI Chatbot as an Interactive Learning Medium on Accounting Lessons in SMK. Ideguru: Jurnal Karya Ilmiah Guru, 9(3), 1414-1420. https://doi.org/10.51169/ideguru.v9i3.1059
Kinasih, S. A., Sahputra, R., & Anwar, C. (2025). Functional Suitability Testing of Web-Based Warehouse Inventory Application Using Black Box Testing. Ambidextrous Journal of Innovation Efficiency and Technology in Organization, 3(02), 138-154. https://doi.org/10.61536/ambidextrous.v3i02.391
Kurniawan, A. (2025). Saat Artificial Intelligence (AI) Bertemu Akuntansi Syariah: Inovasi Cerdas atau Dilema Etis?. Balance: Jurnal Akuntansi dan Bisnis, 10(2), 267-290. https://doi.org/10.32502/balance.v10i2.1208
Mais, R. G., Wulaningsih, R. W., Oktasari, E., Setiawan, D. A., & Wulandari, W. (2025). Artificial Intelligence (AI) dalam Akuntansi: Peluang dan Tantangan untuk Profesi Akuntan. Jesya (Jurnal Ekonomi dan Ekonomi Syariah), 8(1), 751-765.
https://doi.org/10.36778/jesya.v8i1.1976
Masliah, N. E., Zahrani, R. V., Wahyuningtyas, K. D., Dianata, T. P. L., Suhendar, M. A., Arrafi, M. N., & Atmaja, S. A. (2025). Functional Testing of The Dana E-Wallet Transaction Features Using Black Box Testing. Jurnal Info Sains: Informatika dan Sains, 15(01), 109-116.
Mishra, K., Pagare, H., & Sharma, K. (2025). A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents. Scientific Reports, 15(1), 22729.
Mulawarman, W. G., & Haryaka, U. (2025). Smart Budgeting for Future-Ready Schools: Strategies for Efficiency and Financial Accountability in Education Funding. Journal of Pedagogy and Education Science, 4(02), 259-273. https://doi.org/10.56741/IISTR.jpes.00964
Najem, R., Bahnasse, A., Fakhouri Amr, M., & Talea, M. (2025). Advanced AI and big data techniques in E-finance: a comprehensive survey. Discover Artificial Intelligence, 5(1), 102. https://doi.org/10.1007/s44163-025-00365-y
Noor, F., & Firdausi, I. (2024). Strategic Financial Planning for Long-Term Sustainability in Madrasah Aliyah. Nazhruna: Jurnal Pendidikan Islam, 7(3), 493-511. https://doi.org/10.31538/nzh.v7i3.1
Permatasari, C. L., Luhsasi, D. I., & Salsabila, S. (2024). Development of Education Accounting Information System. Jati: Jurnal Akuntansi Terapan Indonesia Учредители: Universitas Muhammadiyah Yogyakarta, 7(2), 113-132. https://doi.org/10.18196/jati.v7i2.22047
Safitri, D., Sania, R. R., & Wahyudi, M. (2024). Implementasi akuntansi manajemen berbasis Artificial Intelligence dalam pengendalian biaya. Jurnal Manajemen dan Penelitian Akuntansi (JUMPA), 16(2), 182-187. https://doi.org/10.58431/jumpa.v16i2.268
Sezer, O. B., Gudelek, M. U., & Ozbayoglu, A. M. (2020). Financial time series forecasting with deep learning: A systematic literature review: 2005–2019. Applied soft computing, 90, 106181. https://doi.org/10.1016/j.asoc.2020.106181
Sofianti, S. P. D. (2025). AI Integration in Accounting: Operational Efficiency Implications and Ethical Challenges for Professional Accountants. Oikonomia: Journal of Management Economics and Accounting, 2(3), 73-88. https://doi.org/10.61942/oikonomia.v2i3.357
Weinberg, A. I., & Faccia, A. (2024). Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics. arXiv preprint arXiv:2411.15190. https://doi.org/10.48550/arXiv.2411.15190
Yusuf, M. F. M., Garusu, I. A., & Rauf, D. M. (2024). Sistem Penerapan Artificial Intelligence Dalam Akuntansi: Indonesia. Jurnal Ilmu Sosial Dan Pendidikan, 2(2), 01-07.
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