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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.
Blockchain Technology - The Use Of Cryptocurrencies In Digital Revolution Faturahman, Adam; Agarwal, Vertika; Lukita, Chandra
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.523

Abstract

?Cryptocurrency is a blockchain-based technology that is often used as a digital currency. Digital money is different from conventional money, this type of money does not have a physical form but only a block of data bound by a hash as validation. The data is spread to every cryptocurrency user who is in the environment. So that when a user makes a transaction, data mining will be carried out. Cryptocurrencies have several advantages but also have disadvantages when used as currency, from a legal point of view there is still no law governing the circulation of currency in digital form (cryptocurrency). The government must recognize digital currency so that it can be accepted by the general public as a means of payment. For now, the government has not recognized digital money (cryptocurrency) as a currency, because Cryptocurrency is a new phenomenon by some people in Indonesia. The rapid development of technology in the 4.0 revolution era, in the next few years money in physical form will be replaced by digital money seeing the many conveniences provided by using digital money.
Indonesia's Digital Economy's Development Dudhat, Amitkumar; Agarwal, Vertika
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 2 (2023): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i2.580

Abstract

Digital technology must be used in all facets of life and business for global advancements to lead to the employment of technology in all disciplines, including the economic sector. One of the nations that quickly digitized their economy was Indonesia. The issue is whether Indonesia can foresee the effects and dangers that the digital economy will pose. This study's objective is to examine the growth of Indonesia's digital economy and the challenges it poses from the standpoint of national defence. The descriptive qualitative methodology is used in this study. Interviews with representatives from the Ministry of Communication and Information, the Ministry of Defense, and the Indonesian Coordinating Ministry for Economic Affairs provided the data, which was then supplemented with secondary information from these agencies. The study's findings show that Indonesia's digital economy is growing quite well, which boosts the country's GDP. They also show that productivity is rising, production, consumption, and distribution are moving more quickly, there is economic growth in various sectors, and the country can continue to operate despite the Covid-19 pandemic. The digital economy, however, also poses a threat to national security because digitization forces all data to be connected to servers that are vulnerable to data misuse and exploitation; transactions that are not secure from malware-based cyberattacks; fraudulent transactions or hacks by hackers; and infrastructure limitations that have not yet reached all parts of Indonesia