Development of web-based job seeking system by using data matching technique / Muhamad Farid Abdullah Sany

The internet has fundamentally changed the way workers and firms are matched on the job market. Compared to newspapers and other traditional employment resources, online job boards presumably lead to better matches by providing a wider choice of job advertisements and more sophisticated methods for finding suitable vacancies. Major functionalities of the site include providing services to recruitment agencies, software and hardware development companies and jobseekers. However, there are no job seeking sites that offer employers to filter their candidates by using online interview questions. Therefore, this research is about the study of developing a web-based system for job seeking purposes that will allow employers to ask questions to the candidates and the candidates can answer their questions on the system itself. The objective of the project is to identify requirements, design and develop a web-based job seeking system. Employers can filter their candidates by reviewing their answers. The method used in getting the requirements is by interviewing firms that are often used online job seeking sites to advertise their vacancies. The development tools used in developing the system are Adobe Dreamweaver CS6, MySQL 5.0, PHP/Client-server Application and WAMP Server. The methodology that is most suitable in developing this system is the System Development Life Cycle or also known as SDLC model, because of its systematic approach in developing systems. In research and findings, the functional and nonfunctional requirements, use-case description, work system, and storyboard of the system were defined. Future works that should be added to enhance the system is by implementing the data matching technique on the interview questions to allow better filtering results for employers to filter the candidate answers on the interview questions.