Career path recommendation system for UiTM Perlis students using fuzzy logic

Recommendation systems are commonly used over the Internet to guide customers to find the products or services that best fit with their personal preferences. In Malaysia, choosing a career between students is significant due to the existence of multiple human abilities. Many students have chosen their career path without receiving proper advice from suitable professional or university services. This may potentially cause mismatch between academic achievements, personality, interest and abilities of the students. In order to recommend students in career selection, it is essential to build a recommendation system that provides direction and guidance to students in choosing their career. Hence, this study proposes a career recommendation system driven by fuzzy logic technique. The use of fuzzy logic approach helps students by giving career recommendation based on career test. Based on conventional method that have been applied, they just focus to one job careers without look up the other potentials job careers that also can be match with their skills or abilities. So by implementing this system it give a better result and also students also can involves with this system.