Authors : Chukwueke, Chika M. O.; Dr. Chukwuemeka Etus; Dr. Nnanna N. Ekedebe

Volume/Issue : Volume 11 - 2026, Issue 7 - July

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Google Scholar : https://tinyurl.com/2phpd4tr

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DOI : https://doi.org/10.38124/ijisrt/26jul435

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Abstract : This study presents the development of an intelligent clergy management and matching platform designed to optimize church–priest deployment and improve administrative decision-making. The system leverages machine learning algorithms, specifically Decision Tree and Random Forest, to automate ministerial recommendation and workers’ disposition based on data-driven insights. The model is trained using integrated datasets, including church profiles, financial records, workers’ disposition history, and ministerial profiles within the Anglican communion. By aligning the strengths and experience of clergy with the needs of individual church stations, the system enhances the accuracy and efficiency of deployment decisions.

Keywords : Clergy Management, Church–Priest Matching, Machine Learning, Decision Tree, Random Forest, Church Administration.

References :

1. Archbishops’ Council Lay Leadership Task Group (2016) “Setting God’s people free”. Church House publishing
2. E. Akugizibwe, N.F. Aligawesa, and B. Bamwite. (2016). “Church management mobile Application”. Case study: Ndejje Christian Union
3. Capstone (2020). Church Management System.
4. S.B. Carlitos, C.D.B. Miguel, and M.B.C Marcus (2024). “E-Church: A Web and Mobile-based Church Management System for Holy Rosary Parish Church”. Proceedings of the International Conference on Industrial Engineering and Operations Management. 5: 12-21
5. E. Emma-Jimo, and D.A. Odeleye (2025). “Spiritual Impact of AI-Powered Analytics on Evangelism in Nigeria”. The Pastoral Counsellors: Journal of Nigerian Association of Pastoral Counsellors (ISSN: Print 2971-5199; Online 2971-5202) Volume 4, 1-7
6. D. Odeleye, and S. Obaloluwa (2025). “Harnessing artificial intelligence (AI) resources for evangelism towards church growth in Nigeria”. Pastoral Counselors: Journal of Nigerian Association of Pastoral Counselors, 4,81-89
7. C.N.P. Olipas, R.C.M. Sawit and R.M. Esperon (2021). “The Design and Assessment of a Church Records and Information Management System”.
8. B.S. Pawar, (2020). “Theory of building for hypothesis specification in organizational studies”.
9. P.F. Tshering (2022). “Church management system for the Evangelical Presbyterian Church of Sikkim”.
10. D.M. Tsuma, E. Siringi, and L. Wambua, (2019). “The intervening effect of leadership style in the relationship between stakeholder engagement and sustainability of Anglican Church funded projects in Kenya”. Journal of Human Resource & Leadership, 3(3), 27–43.