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UPSI Digital Repository (UDRep)
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| Abstract : Perpustakaan Tuanku Bainun |
| The development of a web-based academic advising system called MyOsmas that aims
to help advisors and students monitor student learning performance more effectively.
Traditional advising systems rely heavily on the advisor's analysis of tabular data, which can
be time-consuming and inefficient when dealing with a large number of students. In contrast,
MyOsmas uses visualization representations to help both advisors and students identify
strengths, weaknesses, risks, and opportunities to improve performance achievement.
MyOsmas relies on a student ontology as a knowledge base to ensure the process of
development runs smoothly. All functions of the system were developed in small batches using
three increments, which allowed the development team to address potential issues early on and
ensure a high-quality end product. Finally, based on the result of system functionality
validation using use case testing techniques, MyOsmas has the potential to be effective in
helping both advisors and students identify risks to mitigate and opportunities to increase
performance achievement. By providing a more efficient and effective advising system,
MyOsmas has the potential to improve the academic performance of students and reduce the
workload of academic advisors.
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