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dc.contributor.authorM. M., Noor
dc.contributor.authorK., Kadirgama
dc.contributor.authorM. R. M., Rejab
dc.contributor.authorM. M., Rahman
dc.contributor.authorM. S. M., Sani
dc.contributor.authorM. Y., Taib
dc.contributor.authorAbdullah, Ibrahim
dc.contributor.authorRosli, A. Bakar
dc.date.accessioned2010-08-20T08:37:43Z
dc.date.available2010-08-20T08:37:43Z
dc.date.issued2009-06-20
dc.identifier.citationp.577-582en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/8905
dc.descriptionMUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.en_US
dc.description.abstractEntry qualifications are very important for the educational institution or educational providers to ensure quality graduate been produced. This paper presents the influence of gender, entry qualification and entry results towards the student performance in university. Total of 70 students were randomly selected in Faculty of Mechanical Engineering, Universiti Malaysia Pahang. Entry qualifications are from Foundation Program, Higher Certificate of Malaysian Education (STPM) and Diploma Certificate. STPM is form six examinations in secondary school level. Multilayer Perceptron Neural Network (MPNN) method was used to measure and predict the student’s performance. MPNN is an important tool to study the different type of variables for student performance. Result from the study shows that gender plays no significant role but entry results plays important role. Good entry results student normally maintain their performance throughout the study and become excellent graduates.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Pahang (UMP)en_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009en_US
dc.subjectMultilayer Perceptron Neural Network (MPNN)en_US
dc.subjectGenderen_US
dc.subjectEntry qualificationen_US
dc.subjectArtificial intelligenten_US
dc.subjectMalaysian Technical Universities Conference on Engineering and Technology (MUCEET)en_US
dc.titleThe effect of entry qualification to the student performanceen_US
dc.typeWorking Paperen_US


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