MyOsmos: the development of ontology-based smart students advising system

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.