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Pembangunan system sokongan keputusan bagi pemilihan kursus (myfuture)

Mohammad Nazri, Muhammad Munir (2013) Pembangunan system sokongan keputusan bagi pemilihan kursus (myfuture). Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.



This research emphasizes the use of information and communication technology (ICT) in education and career development of students. The purpose of this research is to help students get the exact description of themselves, course selection at the tertiary level, and for future career plans. The selection factors are based on their intelligence and personality profile. Researchers have developed a course selection and career system called 'Education and Career Guidance'. There are five main components in this system which are multiple intelligence test, personality test, academic credentials, and personal data of students. This system can help students make a more precise and practical decision. The system is developed based on the World Wide Web (www). The programming language used is PHP and MySQL as database. The algorithms used in the test is based on the ‘Theory of Multiple Intelligences’ by Howard Gardner's Theory of Career and John Holland. The two theories are used in the test. The waterfall model is used in the software development process. The method of study is based on surveys and observational approach. Outcome of the project is a one complete system for the use of post-SPM students (school leavers) to select courses for their advance level education and also the outcome of this project is to provide a school management systems for secondary schools. The impact of this system is that it benefits both parties, the students and the school, and it achieves the objectives successfully. The system is efficient because it is complete and does not require outside references and can eliminate the old conventional ways.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Sains (Keusahawanan Teknologi Maklumat)) - Universiti Teknologi Malaysia, 2013; Supervisor : Prof. Naomie Salim, Dr. Melati Ahmad Anuar
Uncontrolled Keywords:educational technology, education--computer-assisted instruction
Subjects:L Education > LB Theory and practice of education
ID Code:37933
Deposited By: Narimah Nawil
Deposited On:12 Apr 2018 05:37
Last Modified:12 Apr 2018 05:37

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