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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.
Orange Technology for Humanistic Innovation in Higher Education Wibowo, Shesilia; Widjaya, Irene Apriani; Zanubiya, Jihan; Evans, Richard; Rahardja, Untung
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.899

Abstract

Amidst the rapid adoption of technology in education, a crucial challenge arises regarding the risk of dehumanizing learning. This study examines Orange Technology as a humanistic innovation approach that seeks to balance digital advancement with human values. Using a qualitative descriptive approach, this research analyzes literature from academic journals and technology education reports, which are then evaluated through a SWOT framework. The analysis results indicate that while Orange Technology holds significant potential to enhance students’ mental well being, digital empathy, and emotional engagement, its implementation faces significant challenges, including limited human resources and inadequate ethical regulations. Therefore, it is concluded that the success of this implementation requires a holistic strategy encompassing investment in human resource training, policy development, and interdisciplinary collaboration. This innovation model has strategic relevance to the Sustainable Development Goals (SDGs), particularly Goal 4 (Quality Education). By focusing on character development and mental well-being, this research contributes to creating an education system that is not only efficient but also inclusive, equitable, and relevant to the holistic needs of future generations.