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Meningkatkan Kompetensi Digital melalui Integrasi Teknologi dalam Pendidikan Kejuruan Hermansah, Bambang; Setywati, Heny; Nasuka, Nasuka; Setiawaty, Elika
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 1 (2025): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i1.906

Abstract

The rising demand for digitally skilled workers in the 21st century has necessitated a transformation in vocational education through the integration of technology to enhance students digital competencies. This study investigates how incorporating digital technologies into vocational learning environments can improve students digital skills and readiness for the modern workforce. Focusing on vocational schools in urban areas, the study targets students from technical and business-related programs. Employing a mixed-methods approach, data were collected through quantitative surveys and qualitative interviews involving both students and teachers. The results show that while digital tools like learning management systems, simulations, and online collaboration platforms are generally available, their effective pedagogical use is inconsistent across institutions. Students who learned in structured digital environments exhibited higher levels of digital literacy, adaptability, and problem-solving capabilities using technology. Additionally, the study highlights the pivotal role of digitally competent teachers in ensuring successful technology integration and enhancing student learning outcomes. The research concludes that technology integration not only strengthens digital competencies but also promotes active learning aligned with industry needs. To address the digital skills gap effectively, vocational institutions must prioritize both infrastructure development and ongoing professional development for educators. These efforts are essential to foster sustainable, relevant, and future-oriented vocational education in the digital age.
Application of Database Normalization in Increasing Data Storage Efficiency Hardini, Marviola; Agarwal, Vertika; Apriani, Desy; Widjaya, Irene Apriani; Setiawaty, Elika; Nurasiah, Nurasiah
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.799

Abstract

Database normalization is a key process in relational database design that reduces redundancy and ensures data integrity. As data volumes increase, maintaining efficient and consistent storage becomes critical. This study investigates the application of normalization techniques from First Normal Form (1NF) to Third Normal Form (3NF) on a sample inventory database to evaluate their impact on storage efficiency. The process focuses on eliminating data repetition and optimizing table structures to enhance performance. Experimental results show that normalization reduces database size by approximately 30%, significantly minimizing redundancy. Smaller, more organized tables improve storage utilization, especially in large-scale systems. However, normalization can introduce query complexity due to increased joins, potentially affecting execution time. Despite this, the trade-off is considered acceptable given the gains in data integrity and storage optimization. This research emphasizes the value of normalization for scalable and maintainable systems. It also aligns with Sustainable Development Goals (SDGs), particularly Goal 9 (Industry, Innovation, and Infrastructure) and Goal 12 (Responsible Consumption and Production), by promoting efficient digital infrastructure and responsible data management practices. These improvements contribute to more sustainable, cost-effective systems in industries relying on large-scale data, such as e-commerce, healthcare, and finance. In conclusion, normalization is an essential tool for optimizing storage and ensuring data consistency in relational databases. Although performance trade-offs exist, they can be mitigated through indexing and query optimization. The study offers insights for database designers seeking to balance efficiency and system performance in data-intensive environments.