Gap Identification between Bootcamp Programs and Industrial Needs Utilizing Text Mining
DOI:
https://doi.org/10.24002/ijieem.v7i2.10099Keywords:
bootcamp program, industrial needs, text miningAbstract
This paper aims to identify the gaps between the bootcamp program and industrial needs using text mining techniques.
The case studies focus on bootcamp programs for full-stack laravel vue.js developers, and uiux designers. The data
utilized includes curriculum or syllabi from the boot camps and industrial requirements gathered from online job portals,
particularly job descriptions from Indeed.com. The analysis revealed a gap of 30% between the bootcamp curriculum
and industrial needs for full-stack Laravel vue.js developer, and 20% between the bootcamp curriculum and industrial
needs for uiux designer. Based on this identification, alternative solutions were proposed to enhance the curriculum or
syllabus. The results of the usability test are OK level. It is indicated that satisfactory outcomes, suggesting that the
proposed improvements could help make bootcamp programs more responsive to the evolving needs of the related
industry.
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