DEVELOPMENT OF MACHINE LEARNING-BASED WEB APPLICATION INTERVIEW SUMMARIZATION SYSTEM FOR JOB RECRUITMENT
One of the stages in job recruitment is the job interview, which is a phase that requires a lot of resources, including costs, manpower, and time. This stage can be facilitated or reduced in terms of its resource requirements with the web application interview summarization system developed in th...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/76893 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | One of the stages in job recruitment is the job interview, which is a phase that requires a lot of
resources, including costs, manpower, and time. This stage can be facilitated or reduced in
terms of its resource requirements with the web application interview summarization system
developed in this final project.
The web application interview summarization system can streamline the job interview stage in
job recruitment by addressing current issues. The web application is developed using a client-
server and microservice architecture with a communication mechanism based on REST API.
Testing of the web application interview summarization system is carried out through manual
testing based on functional requirements, divided into component-level and system-level
testing. Testing at both component and system levels fulfills the functional requirements that
address job interview issues.
The selection of a client-server and microservice architecture, along with the REST API-based
communication mechanism, is suitable for use in the web application interview summarization
system, considering the architecture goals that align with the needs of the interview
summarization system. The web application interview summarization system can be further
developed by revisiting appropriate storage and validation mechanisms. |
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