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Bonie Wijaya
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Technical Comparison Between Classical and Quantum Architectures: Quantum Error Challenges and Qubit Stability Bonie Wijaya; Muhammad Fahrizal; Muhrodi; Dhamma Nagara; Yan Everhard
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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Abstract

The age of evolving computational technologies, classical architecture (traditional digital computing) and quantum architecture have emerged as two prominent approaches, offering diverse computational solutions. Classical computing bases its operations on transistors and binary logic gates, while quantum computing leverages the principles of quantum mechanics to perform information processing. This article provides a technical comparison between the two architectures, encompassing essential characteristics, algorithms, processing models, problem-solving capabilities, and challenges faced. In particular, this article highlights the key challenges in quantum computing, namely quantum errors and qubit stability, which significantly impact its reliability and practical implementation. The method used in this research is a literature review study, analyzing various reference sources such as journals, articles, and research reports. With the growing influence of quantum computing in specific sectors, this study is expected to provide a clearer view of the potential and limitations of both architectures, as well as the steps needed to overcome these challenges. The main conclusion of this study is that quantum computing has the potential to revolutionize certain fields, but still faces challenges in terms of stability and error correction.
Tinjauan Literatur Sistematis Pemodelan ER Untuk Sistem Informasi Bonie Wijaya; Muhammad Fahrizal; Amaliza Afifah Labib
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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Entity-Relationship (ER) Modeling is a fundamental approach in the design and development of databases for information systems. ER Modeling has long been recognized as an effective conceptual tool for database design. However, with advancements in technology and changing modern data processing needs, several limitations or gaps have emerged in its application, particularly when it comes to handling complex and heterogeneous data. This research presents a systematic literature review using the PRISMA framework to evaluate the development methodologies of ER Modeling in a modern context, including its challenges and opportunities. The main focus includes the adaptation of ER Modeling to technologies such as big data, NoSQL, and cloud computing. Key research issues related to ER Modeling include limitations in handling big data, challenges in representing semi-structured and unstructured data, a lack of support for dynamic data and schema evolution, limitations in integration with modern technologies, and deficiencies in representing complex relationships. The main findings reveal the traditional ER Modeling's limitations in managing complex, semi-structured, and distributed data, as well as the need for integration with modern technologies such as IoT and machine learning. This research contributes by offering insights into the development of more flexible and adaptive ER Modeling for current data needs.
Co-Authors Amaliza Afifah Labib Dhamma Nagara Muhammad Fahrizal Muhrodi Yan Everhard