Student’s Fees Payment Verification And Clearance System:- Agbai Chris Sharon E

Authors: AGBAI CHRIS SHARON EBUBECHI | Natural & Applied Sciences Computer Science Projects 67 pages 15,800 words

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ABSTRACT This project focused xi The system was implemented using PHP for server-side scripting, HTML5, CSS3, and JavaScript for the front-end interface, and MySQL as the backend relational database management system. The design featured role-based access control, secure user authentication, automated payment verification, clearance request processing, real-time status updates, and comprehensive audit logging. System testing, including unit testing, integration testing, system testing, user acceptance testing, and security testing, confirmed the system’s reliability, functionality, and compliance with user requirements. The findings revealed that the implemented system significantly improved the efficiency, accuracy, and transparency of the payment verification and clearance processes. Users reported a better experience with reduced processing times and easier access to status information. The project concludes that automating these administrative processes enhances institutional accountability and operational efficiency. This project focused on the design and implementation of a Students Fees Payment Verification and Clearance System aimed at automating the manual processes of fees payment verification and clearance in academic institutions. The study was motivated by the operational inefficiencies, administrative delays, and risks of human error inherent in the traditional manual methods of payment verification and clearance processing. These challenges often resulted in student dissatisfaction, fraudulent clearance approvals, and hindered institutional accountability. A descriptive case study design was adopted for this research, combining both system analysis and software development methodologies. The research involved a thorough analysis of the existing manual processes at Michael Okpara University of Agriculture, Umudike, using structured interviews, direct observations, and document analysis to gather primary data. Secondary data were collected from academic journals, textbooks, and institutional records to support the system requirements definition and theoretical framework. The system was developed following the Waterfall Model of the System Development Life Cycle (SDLC), which provided a structured and sequential approach covering requirement analysis, system design, implementation, testing, deployment, and

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