VISUAL ANALYTICS UNTUK ANALISIS TREN DAN KARAKTERISTIK PENEMPATAN KERJA PRAKTIK MAHASISWA
DOI:
https://doi.org/10.35143/jkt.v12i1.6895Keywords:
Visual Analytics, Student Internship, Data Visualization, Student Internship Patterns, Decision SupportAbstract
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.Downloads
References
[1] W. P. Murti, S. Subiyantoro, S. Fauziyah, and Ismail, “Evaluasi Pelaksanaan Praktik Kerja Industri (Prakerin) Dengan Menggunakan Model Context, Input, Process, And Product (CIPP) Pada Kompetensi Keahlian Broadcasting Kelas XI di SMK Veteran 1 Sukoharjo,” Edudikara J. Pendidik. dan Pembelajaran, vol. 9, no. 3, pp. 109–118, Sep. 2024, doi: 10.32585/EDUDIKARA.V9I3.370.
[2] D. Banker and J. Borchardt, “Students’ perspectives on an internship experience,” J. Res. Innov. Teach. Learn., 2025, doi: 10.1108/JRIT-07-2024-0198.
[3] Aris Budianto, Yuyun Estriyanto, and Budi Tri Cahyono, “Evaluasi Pelaksanaan Program Praktik Kerja Lapangan Di SMK Tamtama 1 Sidareja,” Indones. J. Learn. Instr. Innov., vol. 2, no. 01, pp. 7–17, Jun. 2024, doi: 10.20961/IJOLII.V2I01.1320.
[4] P. Patidar et al., “Edulyze: Learning Analytics for Real-World Classrooms at Scale,” J. Learn. Anal., vol. 11, no. 2, pp. 297–313, Aug. 2024, doi: 10.18608/jla.2024.8367.
[5] V. Aries Siswanto, T. Pudji Wahjuningsih, P. Sulistyorini, and S. Widya Pratama Pekalongan, “Analisis Permasalahan Mata Kuliah Magang (Internship) Mahasiswa Program Studi S1 Institut Widya Pratama Pekalongan,” IC Tech Maj. Ilm., vol. 20, no. 2, Oct. 2025, doi: 10.47775/ICTECH.V20I2.358.
[6] S. Vasavi et al., “A Comparative Study of Various Data Visualization Techniques using COVID-19 Data,” Int. Res. J. Eng. Technol., pp. 1306–1328, 2021, [Online]. Available: www.irjet.net
[7] A. D. Ameliah and R. Jatnika, “Descriptive Study of College Student’s Career Adaptability with An Internship Experience,” Ann. Hum. Resour. Manag. Res., vol. 4, no. 1, pp. 1–11, Jun. 2024, doi: 10.35912/AHRMR.V4I1.1806.
[8] M. Hakiki, R. D. A. Budiman, M. Firdaus, and A. D. Astiti, “The Influence Of Internship Experience And Career Guidance On Student Work Readiness: A Quantitative Descriptive Research Study,” J. Inov. Pendidik. dan Teknol. Inf., vol. 4, no. 2, pp. 123–133, Nov. 2023, doi: 10.52060/PTI.V4I2.1398.
[9] Y. Fatoni, P. Eko, P. Utomo, and R. Raaiqa Bintana, “Business Intelligence Roadmap for Tableau Dashboard Development in Higher Education,” Brill. Res. Artif. Intell., vol. 5, no. 2, pp. 973–980, Oct. 2025, doi: 10.47709/BRILLIANCE.V5I2.7094.
[10] I. Purnama, Y. Setiani, and F. A. N. Wibisono, “Analisis Dan Visualisasi Data Menggunakan Looker Studio Pada Dataset New York City Property Sales,” J. Minfo Polgan, vol. 13, no. 2, pp. 2222–2234, 2025, doi: 10.33395/jmp.v13i2.14421.
[11] I. Nur Rizki, M. Lia Puspita, D. Prayoga, M. Qomarul Huda, and U. Syarif Hidayatullah Jakarta, “Implementasi Exploratory Data Analysis Untuk Analisis Dan Visualisasi Data Penderita Stroke Kalimantan Selatan Menggunakan Platform Tableau,” J. Inform. dan Tek. Elektro Terap., vol. 12, no. 1, pp. 2830–7062, Jan. 2024, doi: 10.23960/JITET.V12I1.3856.
[12] F. A. Sariasih, “Implementasi Business Intelligence Dashboard dengan Tableau Public untuk Visualisasi Propinsi Rawan Banjir di Indonesia,” J. Pendidik. Tambusai, vol. 6, no. 2, pp. 14424–14431, Jul. 2022, doi: 10.31004/JPTAM.V6I2.4715.
[13] E. Indah Rizki, A. Anastasya Safitri, Y. Servanda, and T. Sudinugraha, “Analisis dan Visualisasi Data Penjualan Menggunakan Tableau untuk Mendukung Keputusan Strategis (Studi Kasus: PT Aspirasi Hidup Indonesia Tbk),” J. Sist. Inf. Galuh, vol. 3, no. 2, pp. 61–71, 2025, doi: 10.25157/jsig.v3i2.4996.
[14] N. L. P. T. K. Dewi, N. K. U. Nilawati, and I. B. G. Anandita, “Visual Analysis of Marketplace Sales Data for Strategic Decision Making Using Tableau,” TECHNOVATE J. Inf. Technol. Strateg. Innov. Manag., vol. 1, no. 3, pp. 156–169, 2024, doi: 10.52432/technovate.1.3.2024.156-169.
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