Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar

Muhammad Anuar, Siti Norainul Faraha (2015) Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar. Degree thesis, Universiti Teknologi MARA.

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Abstract

Computer Science (CS) is a subject or a course for some universities. In Universiti Teknologi Mara (UiTM), CS or is known as CS230. There is a problem where it is not confirmed if the CS230's alumni work in that field or not. Hence, a research that includes gathering information of big number of important data of alumni may be done to solve the problem. The proposed system will include data gathering, data extraction, data analysis by using K-Means technique and data visualization. The extraction will be done on the data of alumni that is obtained from Office of Industry Community and Alumni Network (ICAN). The data involved is Cumulative Grade Point Average (CGPA) and employment. Then, the result will be presented as visualization or graphic. This may shows the important results clearly.

Item Type: Thesis (Degree)
Uncontrolled Keywords: CS230's alumni, Universiti Teknologi Mara (UiTM); Data employment; K-Means; Clustering Analysis
Subjects: L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA
Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method
Q Science > QA Mathematics > Instruments and machines > Electronic computers.Computer science > Soft computing
Q Science > QA Mathematics > Instruments and machines > Electronic computers.Computer science > Soft computing
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Depositing User: Staf Pendigitalan 5
Date Deposited: 23 Aug 2016 01:18
Last Modified: 23 Aug 2016 01:18
URI: http://ir.uitm.edu.my/id/eprint/14595

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