Browsing by Author "Etus, Chukwuemeka"

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    Hybrid result processing and management system for Nigerian universities
    (Federal University of Technology, Owerri, 2021) Etus, Chukwuemeka
    Hybrid Result Processing and Management System (HRPMS) is an optimized model that automates result computation, vetting, approval, checking, and transcript processing workflow across standalone and client-server cross-platform. It is designed to address the challenges of using only a single-platform system (legacy or modern) in results processing and management, currently existing in Nigerian universities. The objective of the research, therefore, is to develop an offline, online, scalable, decentralized, inter-networked, normalized, and secured 3-tier system able to further improve computerized automation of result processing and management in Nigerian universities, in line with the universality of management and institution-specific policy standards. The survey analysis method was used to expose the deficiency of the single-platform system which necessitates developing the HRPMS. The Agile methodology adopted followed the Scrum method for rapid Test-Driven Development (TDD), and leveraged the jMeme Metaheuristic Optimization Framework (MOF) to hybridize and optimize the standalone (offline) and the client-server (online) platforms to build the HRPMS socket middleware cross-platform application. Again, the Agile 4-quadrant approach was followed to test and validate the HRPMS development. The tools and materials deployed for the design and programming of the HRPMS subsystem modules include the Unified Modelling Language (UML), the Excel VBA Binary, Java IDE and libraries, MS POI, and API plugins, PHP IDE, and SQL DBMS. While the web application, the MySQL database, and the FTP servers were deployed to test the system across a wireless extranet. The HRPMS performance was validated through hypotheses test and Multivariate Linear System (MLS) statistical analysis on MatLab, with a set of non-functional variables (x1-x6) and dual-sample data collected using the Delphi technique. The results showed that the existing single-platform model is about 53.8% deficient, but the HRPMS is an improvement of the existing system with a mean Performance Difference (PD) of 1.043458X10-8. Therefore, it presents a more efficient, more secured, hard-to crash, and optimum cross-platform system with a hybrid database emulator to map, parse and upload flat-file data into a relational database for transcript processing. Finally, this work recommends the convergence of technologies, services, and processes as information system integration and process automation swiftly erode boundaries that separate functional platform groupings.