Resume Evaluation System (e-Recruit) / Muhammad Muttaqin Mohd Sulaimi

Mohd Sulaimi, Muhammad Muttaqin (2016) Resume Evaluation System (e-Recruit) / Muhammad Muttaqin Mohd Sulaimi. Degree thesis, Universiti Teknologi MARA.


The purpose of this study is to give the suggestion to small and medium employers choose the applicant for call interview based on their preferences. One of the solution to help the help small and medium employers is by introducing the development of system that is called Resume Evaluation System (e-Recruit). With this system, the process to help the employers choose the applicant is called filtering technique. This system can help the employers filter the applicant based on their age, education, experience, gender and licenses type. The evaluation of the system start once the development of the system has been completed. The purpose of system evaluation is to know whether the system fulfil the requirements of the users or not. The system was tested by the developer of the system and a tester at the first place. Then the system was evaluated by the experts and users. This system develop using waterfall model. Based on the overall result, researcher get highest mean is 4.43 (SD=0.78). This result show the high mean that user is satisfy with the system and objective achieve successfully As a conclusion, the finding shows that e-Recruit can give benefit to applicant and employers in the recruit process.


Item Type: Thesis (Degree)
Email / ID Num.
Mohd Sulaimi, Muhammad Muttaqin
Email / ID Num.
Thesis advisor
Syed Yasin, Sharifah Nurulhikmah
Subjects: Q Science > QA Mathematics > Instruments and machines
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Electronic digital computers
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Information Technology (Hons.) Business Computing
Keywords: Resume Evaluation System ; Filtering Technique ; Education ; Experience ; Gender And Licenses
Date: July 2016
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