Data Analytics Modelling System for Short Courses at Seberang Jaya Community College

Community College adhered to the Ministry of Higher Education is well known for its lifelong learning prospects and distinctively offers a short course about the community surrounding the institute. To date, the primary focus in the academic and industrial realms is on descriptive and predictive analytics. Nevertheless, prescriptive analytics, which seeks to find the best course of action for the future, has increasingly garnered research interest. Meanwhile, the analysis will be used to implement actionable plans to help in decision-making that can benefit the institution as well as the officers concerned. This paper investigates the problem arising by using analytical methods in elevating short course enrolment in Seberang Jaya Community College. Upon completion with the usage of Market Basket Analysis (MBA) techniques integrating the descriptive and predictive analysis, results obtained are established thoroughly with specific details that were to attain cluster insights based on the participant’s interest that leads to non-mainstream courses related to the college credential-expertise program. Course modelling proposal for participants’ enrolment through MBA that leads to output produced for Lift Parameter, uses specific rules that have higher lift and confidence that participants tend to join Kursus Penyelenggaraan Komputer (consequents) when they joined Kursus Rangkaian Komputer (Antecedents). In looking at the association rules, it seems that both these courses are highly considered to be enrolled.