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Submitted
17 February 2026
Accepted
28 May 2026
Published
31 May 2026
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Abstract

The implementation of student internships is an important component of vocational education that bridges academic learning and industry needs. However, internship data are generally still presented in tabular form, making it difficult to comprehensively identify placement patterns, implementation trends, and industry characteristics. This study aims to apply a visual analytics approach to analyze trends and characteristics of student internship placements at Politeknik Caltex Riau. The data used consist of historical internship records over four academic semesters, including study programs, industry types, industry locations, internship durations, and industry partners. The research method includes data preprocessing, data transformation, and the development of an interactive visual dashboard using Tableau. The analysis results indicate fluctuating internship implementation trends across academic years, with student placements concentrated in specific industrial sectors and geographic regions. In addition, several industry partners were consistently identified as dominant internship providers. The findings demonstrate that the visual analytics approach can support more intuitive identification of internship placement patterns, improve program evaluation, and enhance data-driven decision-making in internship management.

Keywords

Visual Analytics Student Internship Data Visualization Student Internship Patterns Decision Support

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Copyright (c) 2026 Jurnal Komputer Terapan

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Author Biographies

Ardiyanto Ardiyanto, Politeknik Caltex Riau

Bagian Kerja SamaPoliteknik Caltex Riau

Yuliska, Politeknik Caltex Riau

Teknik InformatikaPoliteknik Caltex Riau
How to Cite
Ardiyanto, A., & Yuliska, Y. (2026). VISUAL ANALYTICS UNTUK ANALISIS TREN DAN KARAKTERISTIK PENEMPATAN KERJA PRAKTIK MAHASISWA. Jurnal Komputer Terapan, 12(1), 22–30. https://doi.org/10.35143/jkt.v12i1.6895
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