Wanthanee Prachuabsupakij
ABSTRACT
This research aims to analyst and cluster the student's personal data towards student's graduation in the Information Technology program, Faculty of Industrial Technology and Management, King Mongkut's University of Technology North Bangkok, Prachin-Buri Campus. The sample of this experiment consists of 544 instances and 13 attributes such as sex, province, father's occupation, mother's occupation, and student's graduation status, etc. These samples are clustered in order to analyst the relationship between personal factors and student's graduation by partition clustering techniques. The Manhattan distance is used as a measure of the proximity or the similarity between objects. The basic idea contains five processes: (1) selecting data; (2) preprocessing data; (3) clustering data; (4) determining the optimal number of clustering; and (5) analyzing and interpreting the model. As a result, the presented method has successfully identified" five clusters of students with similar characteristics in terms of personal data and student's graduation. This study will help the academic staff of IT department to get the knowledge and use it as the guidelines for public relations in recruiting new students for the next academic year.
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Digital Library
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Index Terms
- Cluster Analysis of Personal Data towards Student's Graduation in Information Technology Program
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