WEB APPLICATION DEVELOPMENT FOR INTERVIEW SYSTEM WITH COMPETENCE MATCHING BASED ON MACHINE LEARNING
In the recruitment process, various stages must be carried out by an organization to find the right person for the organization. One of the recruitment stages that can leverage technology in its implementation is the interview stage. The use of technology in the interview process can reduce costs...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85085 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In the recruitment process, various stages must be carried out by an organization to
find the right person for the organization. One of the recruitment stages that can
leverage technology in its implementation is the interview stage. The use of
technology in the interview process can reduce costs, reach a wider labor market,
and implement environmentally friendly practices. One of the existing technologies
is an interview summarization system. An interview summarization system is a web
application that evaluates a candidate based on the interview results and the
determined competencies.
With the advancement of technology and the evolving needs of users, this web
application can be further developed to meet these needs. The development of the
web application is a solution to these issues, with development tailored to the
increasing user requirements.
On the front-end side, development includes improving the user interface,
enhancing feature workflows, adding new features, and utilizing new tools for
website development. On the back-end side, additional components are added to
the web application to meet user needs. Furthermore, a microservice architecture is
implemented to integrate the machine learning model, ensuring modular
independence and ease of development for each module. The communication
mechanism used in this architecture is REST API, due to its compatibility and
flexibility, which can be utilized in various programming languages. The database
used in this development is PostgreSQL, considering its better performance
compared to other options.
The web application is developed on both the front-end and back-end according to
the analysis conducted. The web application is then tested with functional testing,
non-functional testing, and system integration testing to ensure that the
development has been carried out according to the defined requirements. |
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