Online Job Application System for UiTM Terengganu (JobApp) / Nor Fatimah Khaled

• Main Author: Khaled, Nor Fatimah
• Format: Thesis
• Language: English
• Published: 2018
• Subjects: Electronic Computers. Computer Science; Programming. Rule-based programming. Backtrack programming; Web-based user interfaces. User interfaces (Computer systems); Web databases
• Online Access: http://ir.uitm.edu.my/id/eprint/41031/1/41031.pdf; http://ir.uitm.edu.my/id/eprint/41031/

Online Job Application System for UiTM Terenganu (JobApp) is the system that help the applicant for applying job and help the Administration department which is Assistant Registrar for making the accurate decision. It is use to record the applicant’s detail and recommended a short list of position that are suitable for that applicant. Aiming the problems of the manual paper based for applying job especially, JobApp is proposed to be develop. There are several problems that had been identified through this manual process such as take time to make the interview session because need to interview the applicant one by one, download and fill form manually, difficult for Assistant Registrar to make the decision and problem of missing the details of applicant. Hence, JobApp is developed to overcome the problem and also increase the management performance. It is a web-based automated system that keep track the position that are suitable and matching for the applicant based on the requirement needed that applicant enter and rule or procedures for each position. Then. Adapted Waterfall model is used in this system development as it gives the phase by phase process that guarantee the project is deliver based on the schedule. From the result, it shows the respondents agreed that using this system with the highest mean at 4.70 (SD=0.47) in the system capabilities and satisfaction with mean= 4.67 (SD=0.48). As for future enhancement, system must be able the applicant for applying many position in one time.