Show simple item record

dc.creatorFatihah, Aziz
dc.date2016
dc.date.accessioned2022-11-25T01:22:28Z
dc.date.available2022-11-25T01:22:28Z
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/77203
dc.descriptionMaster of Science in Engineering Mathematicsen_US
dc.description.abstractThe main objective of this research is to predict the academic achievement of the students in UniMAP who will be succeed, will be continued their study in higher level and also students whose need help in their study. Besides that, the specific objectives of this research are to identify the factors which influence the academic achievement of the students, to develop the decision tree model for prediction of the academic achievement of the students and lastly, to evaluate the performance of the decision tree model. Our research methodology started with the collection of students’ data from UniMAP since 2002 until 2012. Then, continued with the implementation of the decision tree model by using the C4.5 algorithm to develop the model for predicting the students’ academic achievement in UniMAP. C4.5 algorithm is a successor of ID3 algorithm which had been invented by J.R Quilan in 1986. In this research, JMP Pro 11 software has been used in developed the decision tree model. In addition, the finding of this research stated that there were five factor variables had influenced the academic achievement of the students in UniMAP. The factor variables were gender, age, entry qualification, entry CGPA and results from semester 1 and 2. The response variable was the result of graduate students. Moreover, from the result of the decision tree, the knowledge representation has been interpreted into decision rules using IF-THEN rules. From the predictive model, there were 25 decision rules which had interpreted. Later, the rules had been implemented into a simple academic prediction system for the students in UniMAP. This simple prediction system could help new students to predict their final result in the earlier semester. Some of the significant finding from this research, found that students who in between 24 to 30 years old had graduated with excellent result than younger and older adult learners. Female students from this university had graduated with more excellent result than the male students. Lastly, the finding of this research found that students who entry the university with the Matriculation qualification graduated with more excellent result than Diploma and STPM.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.rightsUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectData miningen_US
dc.subjectEducational Data Mining (EDM)en_US
dc.titlePrediction of students academic achievement in UniMAP using data mining approachen_US
dc.typeThesisen_US
dc.contributor.advisorAbdul Wahab, Jusoh, Assoc. Prof. Dr.
dc.publisher.departmentInstitute of Engineering Mathematicsen_US


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record