Enhancing Students’ Digital Skills through Artificial Intelligence-Based Dashboard Training Using Data Studio
DOI:
https://doi.org/10.57152/batik.v4i1.2673Keywords:
Data Studio, Keterampilan Digital, Pelatihan Dashboard, Siswa Vokasi, Visualisasi DataAbstract
The gap between vocational high school (SMK) students’ digital skills and the demands of the data-driven industry remains a critical issue, particularly in data processing and visualization competencies. Many students still have limited understanding of interactive dashboards and the use of Business Intelligence tools such as Google Looker Studio, which reduces their readiness to meet current industry requirements. To address this problem, a community service program was conducted in the form of interactive dashboard training using Google Looker Studio, applying a hands-on training approach. The training was designed to provide practical experience through direct project-based dashboard development, enabling students to both understand concepts and implement them effectively. The evaluation was carried out using pretest and posttest instruments based on a Likert scale, which met validity (r ? 0.30) and reliability (ordinal alpha ? 0.70) criteria. Data analysis was performed using both descriptive statistics and inferential non-parametric methods, specifically the Wilcoxon Signed-Rank Test. The results indicate a significant improvement in students’ competencies after the training. The average total score increased from 29.00 to 40.00, while the median improved from 3 to 4 across all indicators, reflecting a shift from neutral to agreement levels. The Wilcoxon test confirmed a statistically significant difference between pretest and posttest results (p < 0.001), indicating that the improvement was not due to chance. Furthermore, the effect size (r > 0.50) falls into the large category, demonstrating a strong impact of the training intervention. The distribution of responses also shifted toward positive categories (agree and strongly agree), reinforcing these findings. In conclusion, the training was effective in enhancing students’ understanding and skills in data processing and visualization, while also strengthening their readiness to meet the demands of a data-driven industry.
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Copyright (c) 2026 Rohmi Dyah Astuti, Febri Dwi Irawati, Mika Alvionita Sitinjak, Vina Nurmadani, Yoga Aji Sukma, Ahmad Luky Ramdani, Tirta Setiawan, Luluk Muthoharoh, Dimas Dwi Randa, Yustida Bellini, Ardika Satria, Ira Safitri
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