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    A computerised loan scheme information management system for Higher Education Students Financing Board (HESFB)

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    Undergraduate Dissertation (1.055Mb)
    Date
    2019-07
    Author
    Lubega, Peter
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    Abstract
    The Computerized Loan Scheme Information Management System Project was designed and implemented in order to study the existing system, identifying the problem, and improving it for more proficiency. With much data but without experience in managing this loan, the system information is confusing and unorganized. The existing system is still operating in manual system; therefore, the computerized system should be implemented to enhance the efficiency to become a more the systematic system. The project covers the system analysis and design of getting loan detail process, settling process, and receiving payment process. The existing system presents the problems occurring from manual operations. This project is arranged to overcome many problems such as data redundancy, data incorrectness, time consuming, miscommunications and very many others. The new computerized system will reduce errors while providing a better control over the process and better management information in a timely manner for implementation strategies. The study of this project begins with the requirement definitions and analysis of the existing system. After studying, it shows the inefficiency in loan document collection; therefore, the management agrees that Loan Scheme Information Management System should be changed from manual to the computerized system. The results of the system study are proposed in various forms such as data flow diagrams, relational tables among others, which are demonstrated in the process of the existing system. The new system is implemented in a user interface technology and well checked to ensure that there is no error in the programs. Its outputs are met with the target of the Higher Education Students Financing Board (HESFB). To enhance the effective management of customers, the system should be further developed so that it supports other bidding loan information like bank statements.
    URI
    http://hdl.handle.net/20.500.12281/6399
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    • School of Statistics and Planning (SSP) Collection

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