A Critical Analysis of Health Promotion Interventions in the Prevention of Noncommunicable Diseases A Systematic Review
Artikel Lengkap Silahkan Kunjungi Situs Jurnal Link Jurnal : https://mand-ycmm.org/index.php/phasij/article/view/1299 DOI: https://doi.org/10.55642/phasij.v6i01.1299 Vol. 6 No. 01 (2026): Public Health and Safety International Journal (PHASIJ)
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Implementasi Media Pembelajaran Interaktif Berbasis Canva dalam Meningkatkan Pemahaman Konsep IPA Siswa Sekolah Dasar
Artikel Lengkap Silahkan Kunjungi Link Berikut Link : https://mand-ycmm.org/index.php/taveij/article/view/1294 DOI: https://doi.org/10.55642/taveij.v6i01.1294 Vol. 6 No. 01 (2026): Technical and Vocational Education International Journal (TAVEIJ)
Penerapan Model Discovery Learning dalam Meningkatkan Pemahaman Materi Pelajaran
Artikel Lengkap Silahkan Kunjungi Situs Dibawah DOI: https://doi.org/10.55642/taveij.v6i01.1303 Vol. 6 No. 01 (2026): Technical and Vocational Education International Journal (TAVEIJ) Link : https://mand-ycmm.org/index.php/taveij/article/view/1303
The Impact of Consumption of Protein and Carbohydrate Sources on Stunting in Toddlers 24-59 months at Gleno Inpatient Health Center, Ermera Municipality, Timor-Leste
DOI: https://doi.org/10.55642/phasij.v6i01.1250 Home / Archives / Vol. 6 No. 01 (2026): Public Health and Safety International Journal (PHASIJ) LINK : https://mand-ycmm.org/index.php/phasij/article/view/1250
Towards Integrated Smart Tourism Systems in Urban Destinations: A Systematic Literature Review on End-to-End Journey and SME Digital Integration
DOI: https://doi.org/10.55642/eatij.v8i01.1238 Engineering and Technology International Journal (EATIJ) / Vol. 8 No. 01 (2026) Link Sumber : https://mand-ycmm.org/index.php/eatij/article/view/1238
DOI: https://doi.org/10.55642/eatij.v8i01.1239 Engineering and Technology International Journal (EATIJ) / Vol. 8 No. 01 (2026) Link Sumber : https://mand-ycmm.org/index.php/eatij/article/view/1239 The rapid development of smart city initiatives has significantly transformed the tourism sector through the adoption of digital technologies and data-driven systems. This study aims to analyze the development of data-driven smart tourism management by focusing on system integration, digital tourist journey, and UMKM connectivity within smart city environments. A Systematic Literature Review (SLR) method was employed to examine 30 relevant articles published between 2020 and 2025. The findings indicate that most studies utilize similar methodological approaches but are applied to different research objects, resulting in fragmented research outcomes. Furthermore, the lack of integration among systems and limited involvement of UMKM in digital platforms remain major challenges in developing effective smart tourism ecosystems. This study highlights the need for integrated, interoperable, and scalable smart tourism systems supported by advanced technologies such as artificial intelligence, big data analytics, and Internet of Things (IoT). The results of this study provide a conceptual foundation and research directions for developing more comprehensive and sustainable smart tourism systems in smart city contexts.
Hubungan Status Imunisasi dengan Kejadian Stunting di Kota Kupang
DOI: https://doi.org/10.55642/phasij.v5i01.1233 Public Health and Safety International Journal (PHASIJ) / Vol. 5 No. 01 (2025) Link Sumber : https://mand-ycmm.org/index.php/phasij/article/view/1233 Latar Belakang: Stunting masih menjadi salah satu permasalahan kesehatan masyarakat yang serius di negara berkembang, termasuk Indonesia. Salah satu faktor yang diduga berhubungan dengan kejadian stunting pada balita adalah status imunisasi yang tidak lengkap, yang dapat meningkatkan risiko penyakit infeksi dan mengganggu proses pertumbuhan anak. Tujuan: Penelitian ini bertujuan untuk menganalisis hubungan antara status imunisasi dengan kejadian stunting pada balita di Kota Kupang. Metode: Penelitian ini menggunakan desain analitik observasional dengan pendekatan case control. Populasi penelitian adalah balita berusia 12–59 bulan yang berada di wilayah kerja puskesmas di Kota Kupang. Jumlah sampel sebanyak 96 balita yang terdiri dari 48 balita stunting sebagai kelompok kasus dan 48 balita tidak stunting sebagai kelompok kontrol. Pengumpulan data dilakukan melalui pengukuran antropometri, wawancara menggunakan kuesioner terstruktur, serta penelusuran data imunisasi dari buku Kesehatan Ibu dan Anak (KIA). Analisis data dilakukan menggunakan uji Chi-square dan perhitungan Odds Ratio (OR) dengan tingkat signifikansi p < 0,05. Hasil: Hasil penelitian menunjukkan bahwa terdapat hubungan yang signifikan antara status imunisasi dengan kejadian stunting pada balita (p = 0,018). Nilai Odds Ratio sebesar 3,12 dengan interval kepercayaan 95% CI (1,40–6,95) menunjukkan bahwa balita dengan status imunisasi dasar tidak lengkap memiliki risiko 3,12 kali lebih besar mengalami stunting dibandingkan dengan balita yang memiliki imunisasi lengkap. Kesimpulan: Kelengkapan imunisasi memiliki peran penting dalam mencegah penyakit infeksi yang dapat mempengaruhi pertumbuhan anak. Oleh karena itu, peningkatan cakupan imunisasi dasar lengkap serta edukasi kepada orang tua mengenai pentingnya imunisasi menjadi strategi penting dalam upaya menurunkan angka stunting pada balita
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The Role of Learning Management Systems in Modern Education
Learning Management Systems (LMS) have become essential platforms in modern education, supporting the delivery, management, and evaluation of teaching and learning activities. By enabling online course content distribution, communication, assessment, and learning analytics, LMS platforms play a significant role in enhancing educational effectiveness and accessibility. This study presents a conceptual review of the role of Learning Management Systems in modern education by synthesizing theoretical perspectives and findings from existing literature. The research adopts a qualitative literature review approach, examining academic journals, books, and reputable publications related to LMS and educational technology. The study highlights how LMS contribute to flexible learning environments, improved instructional management, and enhanced student engagement. However, challenges such as user acceptance, system usability, digital literacy gaps, and infrastructure limitations remain critical issues in LMS implementation. This study provides a theoretical foundation that can guide educators and institutions in effectively leveraging Learning Management Systems to support modern educational practices.
Digital Learning Environments and Student Engagement: A Review of Literature
Digital learning environments have become increasingly prevalent in higher education, reshaping how students interact with learning materials, instructors, and peers. Platforms such as learning management systems, virtual classrooms, and collaborative digital tools play a significant role in influencing student engagement and learning experiences. This study presents a literature review on digital learning environments and student engagement by synthesizing theoretical perspectives and empirical findings from existing academic studies. The research adopts a qualitative literature review approach, analyzing scholarly journals, books, and reputable publications related to digital learning and student engagement. The review highlights that well-designed digital learning environments can enhance cognitive, behavioral, and emotional engagement among students. However, challenges such as limited interaction, technological barriers, and varying levels of digital literacy may hinder effective engagement. This study provides a theoretical overview that can inform educators and institutions in designing and implementing effective digital learning environments and serves as a foundation for future research in this area.
Technology Integration in Higher Education: A Conceptual Framework
The integration of technology in higher education has become a central strategy for enhancing teaching, learning, and institutional effectiveness in the digital era. Universities increasingly adopt digital tools such as learning management systems, online learning platforms, and educational technologies to support instructional delivery and academic administration. This study proposes a conceptual framework for understanding technology integration in higher education by synthesizing theories, models, and perspectives from existing literature. The research employs a qualitative literature review approach, examining academic journals, books, and reputable publications related to educational technology and higher education management. The study discusses key dimensions of technology integration, including pedagogical alignment, institutional readiness, technological infrastructure, and stakeholder engagement. It also highlights challenges such as digital literacy gaps, resistance to change, and sustainability of technology adoption. This conceptual framework aims to provide a theoretical foundation for future empirical studies and practical guidance for higher education institutions seeking to optimize technology integration.
E-Government Implementation: Concepts and Strategic Challenges
The implementation of e-government has become a strategic approach for public sector organizations to improve service delivery, transparency, and administrative efficiency through the use of information and communication technologies. E-government initiatives aim to transform traditional government processes into more integrated, citizen-centered, and digitally enabled services. This study presents a conceptual review of e-government implementation by examining its core concepts, strategic objectives, and key challenges based on existing literature. The research adopts a qualitative literature review method, analyzing academic journals, books, and reputable publications related to e-government and public sector information systems. The study identifies major challenges in e-government implementation, including organizational resistance, technological infrastructure limitations, data security and privacy concerns, digital divide issues, and governance coordination. This conceptual study provides a theoretical foundation that can support policymakers and researchers in understanding strategic considerations for successful e-government implementation and guiding future empirical research.
The Impact of Information Systems on Managerial Effectiveness: A Theoretical Study
Information systems have become an integral component of managerial activities in modern organizations, influencing how managers plan, organize, direct, and control organizational resources. By providing timely, accurate, and relevant information, information systems enhance managerial effectiveness and support informed decision-making. This study presents a theoretical analysis of the impact of information systems on managerial effectiveness through a synthesis of existing literature and conceptual frameworks. The research employs a qualitative literature-based approach, reviewing academic journals, books, and authoritative publications related to management information systems and managerial performance. The study discusses how information systems contribute to improved decision quality, communication efficiency, coordination, and strategic planning. It also highlights key challenges, including system complexity, information overload, and the need for managerial competencies in utilizing information systems effectively. This theoretical study provides a conceptual foundation for future empirical research and offers insights for organizations seeking to leverage information systems to enhance managerial effectiveness.
Digital Innovation and Organizational Performance: A Literature Review
Digital innovation has emerged as a critical driver of organizational performance in the rapidly evolving digital economy. Organizations increasingly adopt digital technologies to innovate business models, improve operational processes, and enhance customer experiences. This study presents a literature review on the relationship between digital innovation and organizational performance by synthesizing findings, theories, and conceptual frameworks from existing academic studies. The research adopts a qualitative literature review approach, analyzing peer-reviewed journals, books, and reputable academic publications related to digital innovation and performance outcomes. The review indicates that digital innovation positively influences organizational performance through increased efficiency, agility, competitiveness, and value creation. However, the effectiveness of digital innovation is highly dependent on organizational readiness, leadership support, digital capabilities, and cultural alignment. This study provides a comprehensive theoretical overview that can serve as a foundation for future empirical research and strategic decision-making related to digital innovation initiatives.
Hubungan Konsumsi Kopi, Teh Dan Kualitas Tidur Dengan Kadar Hemoglobin Mahasiswi Prodi Gizi Universitas Teuku Umar Tahun 2025
Jurnal : Vol. 5 No. 02 (2025): Public Health and Safety International Journal (PHASIJ) Link : https://mand-ycmm.org/index.php/phasij/article/view/1078 DOI: https://doi.org/10.55642/phasij.v5i02.1078 Anemia merupakan suatu kondisi kurangnya sel darah merah dalam tubuh sehingga kadar hemoglobin yang terdapat pada sel darah merah juga tidak mencukupi. Angka terjadinya anemia pada provinsi Aceh mencapai 36,93%. Penelitian ini bertujuan untuk mengetahui hubungan konsumsi kopi, teh dan kualitas tidur dengan kadar hemoglobin mahasiswi Prodi Gizi Universitas Teuku Umar tahun 2025. Metode penelitian ini menggunakan metode kuantitatif dengan desain penelitian observasional analitik. Penelitian ini menggunakan rancangan cross sectional. Sampel penelitian ini terdiri atas 58 mahasiswi prodi gizi Universitas Teuku Umar tahun 2025. Uji statistik yang digunakan adalah uji Chi-Square. Hasil penelitian ini menunjukkan terdapat hubungan bermakna antara variabel konsumsi kopi, teh (p 0,003) dan kualitas tidur (p 0,009) dengan kadar hemoglobin mahasiswi Prodi Gizi Universitas Teuku Umar. Penelitian ini menyimpulkan bahwa konsumsi kopi, teh dan kualitas tidur menjadi salah satu resiko yang dapat menurunkan kadar hemoglobin
Information Systems as Decision Support Tools: A Conceptual Analysis
Information systems have become essential tools in supporting managerial and organizational decision-making processes in the digital era. By integrating data processing, information management, and analytical capabilities, information systems enable decision makers to access accurate, timely, and relevant information. This study presents a conceptual analysis of information systems as decision support tools by examining theoretical perspectives and insights from existing literature. The research employs a qualitative literature review method, focusing on scholarly articles, books, and reputable academic publications related to information systems and decision support systems. The study discusses how information systems contribute to structured, semi-structured, and unstructured decision-making processes through data integration, reporting, and analytical features. Furthermore, it highlights challenges such as data quality, system integration, user competence, and technological complexity. This conceptual study aims to provide a theoretical foundation that can guide future empirical research and practical implementation of information systems for effective decision support in organizations.
Cloud Computing in Enterprise Systems: Concepts, Challenges, and Opportunities
Cloud computing has become a fundamental component in the evolution of enterprise systems, enabling organizations to achieve scalability, flexibility, and cost efficiency in managing their information technology resources. By leveraging cloud-based infrastructure, platforms, and software services, enterprises can enhance operational performance and accelerate digital innovation. This study presents a conceptual review of cloud computing in enterprise systems by exploring its core concepts, potential benefits, challenges, and strategic opportunities discussed in existing literature. The research employs a qualitative literature review approach, examining academic journals, books, and reputable publications related to cloud technology and enterprise information systems. The findings indicate that cloud computing offers significant advantages such as resource optimization, improved collaboration, and rapid system deployment. However, issues related to data security, privacy, vendor lock-in, compliance, and integration complexity remain major concerns for organizations. This conceptual study provides a theoretical understanding that can guide enterprises in adopting cloud computing strategies and serve as a reference for future empirical research.
Software Development Methodologies: A Comparative Conceptual Review
Software development methodologies play a crucial role in determining the success, quality, and efficiency of software projects. Over time, various methodologies such as Waterfall, Agile, Scrum, Spiral, and DevOps have been introduced to address different project needs and development challenges. This study presents a comparative conceptual review of major software development methodologies by analyzing their principles, characteristics, strengths, and limitations based on existing literature. The research method used is a qualitative literature review that examines academic journals, books, and reputable publications in the field of software engineering. The findings indicate that no single methodology is universally suitable for all types of projects; rather, the choice depends on project complexity, team structure, stakeholder involvement, and organizational goals. Agile and DevOps approaches are increasingly favored in dynamic environments, while traditional models like Waterfall remain relevant for projects with well-defined requirements. This study provides a theoretical foundation for understanding the comparative aspects of software development methodologies and serves as a reference for researchers and practitioners in selecting appropriate development approaches.
Cybersecurity Awareness in Higher Education: A Literature-Based Study
The increasing dependence on digital technologies in higher education institutions has raised significant concerns regarding cybersecurity threats and data protection. Universities and colleges manage vast amounts of sensitive information, making them attractive targets for cyberattacks such as phishing, ransomware, and data breaches. This study presents a literature-based review of cybersecurity awareness in higher education by examining existing research, concepts, and strategies discussed in academic sources. Using a qualitative literature review approach, this study analyzes scholarly articles, books, and reputable publications related to cybersecurity practices and awareness programs within academic environments. The findings highlight that human factors, particularly lack of awareness and insufficient training, are among the primary causes of cybersecurity incidents in higher education. Additionally, institutional policies, continuous education, and the integration of cybersecurity culture into academic systems are essential to mitigate risks. This study provides a conceptual understanding of how cybersecurity awareness can be strengthened in higher education and offers a theoretical foundation for future empirical studies and institutional strategies.
The Role of Information Technology in Digital Transformation: A Theoretical Perspective
Digital transformation has become a strategic priority for organizations seeking to enhance competitiveness, innovation, and operational efficiency in the modern era. Information Technology (IT) plays a fundamental role in enabling this transformation by supporting data integration, process automation, communication, and decision-making capabilities. This study presents a theoretical perspective on the role of information technology in digital transformation by synthesizing concepts, frameworks, and viewpoints from existing literature. The research method employed is a qualitative literature review, focusing on scholarly articles, books, and reputable academic sources related to digital transformation and information technology. The study discusses how IT infrastructure, cloud computing, big data analytics, and intelligent systems act as key drivers of organizational change. Furthermore, it highlights challenges such as resistance to change, integration complexity, cybersecurity risks, and the need for digital skills. This theoretical study provides a conceptual understanding that can serve as a foundation for future empirical research and practical implementation strategies in organizations undergoing digital transformation.
A Conceptual Review of Artificial Intelligence Adoption in Modern Information Systems
The rapid advancement of Artificial Intelligence (AI) has significantly influenced the development and utilization of modern information systems across various sectors. AI technologies such as machine learning, natural language processing, and intelligent automation have transformed how organizations collect, process, and analyze information to support decision-making and operational efficiency. This study aims to provide a conceptual review of AI adoption in modern information systems by examining key concepts, benefits, challenges, and implementation perspectives discussed in existing literature. The method employed in this study is a qualitative literature review, focusing on academic journals, books, and reputable digital publications related to artificial intelligence and information systems. The findings indicate that AI adoption offers substantial advantages, including improved system performance, enhanced data-driven decision-making, and increased organizational competitiveness. However, challenges such as ethical concerns, data quality issues, system integration complexity, and the need for skilled human resources remain critical barriers. This conceptual review is expected to contribute to a deeper understanding of AI adoption in information systems and provide a theoretical foundation for future empirical research and practical implementation strategies.
Quantum Computing as the Future of High-Performance Computing
High-Performance Computing (HPC) plays a critical role in addressing complex computational problems in scientific research, engineering, and data-intensive applications. As the limitations of classical computing architectures become increasingly apparent, quantum computing has emerged as a promising paradigm that may redefine the future of HPC. This article aims to examine quantum computing as a potential foundation for next-generation high-performance computing systems. The research method employed is a literature review, analyzing scientific journals, reference books, and recent research publications related to quantum computing and HPC. The findings indicate that quantum computing offers significant performance advantages for specific classes of problems, including optimization, large-scale simulations, cryptography, and machine learning. Furthermore, hybrid quantum–classical computing models are identified as a practical pathway for integrating quantum capabilities into existing HPC infrastructures. However, several challenges remain, such as hardware scalability, error correction, system stability, and software ecosystem development. Therefore, continued research and technological advancement are essential to position quantum computing as a viable and transformative component of future high-performance computing systems.
A Study on Quantum Computer Technology in the Era of Digital Transformation
The era of digital transformation has significantly increased the demand for advanced computing technologies capable of processing large volumes of data and solving complex problems efficiently. Quantum computer technology has emerged as a promising innovation that extends beyond the limitations of classical computing by leveraging the principles of quantum mechanics. This study aims to examine quantum computer technology and analyze its role and relevance in the era of digital transformation. The research method employed is a literature review, drawing on scientific journals, reference books, and recent research publications related to quantum computing and digital transformation. The findings indicate that quantum computer technology has the potential to support digital transformation initiatives by enhancing data processing performance, optimization capabilities, cybersecurity, and intelligent decision-making systems. However, the widespread adoption of quantum computing remains constrained by technological maturity, system scalability, infrastructure readiness, and human resource challenges. Therefore, continuous research and strategic development are required to ensure that quantum computer technology can effectively contribute to digital transformation in future information technology ecosystems.
Quantum Computing Development and Its Implications for Information Technology
The development of quantum computing represents a major advancement in computational technology with far-reaching implications for information technology. By exploiting quantum mechanical principles such as superposition and entanglement, quantum computing offers new capabilities that exceed the limitations of classical computing for certain problem classes. This article aims to analyze the development of quantum computing and examine its implications for information technology. The research method employed is a literature review, drawing on scientific journals, reference books, and recent research publications related to quantum computing. The findings indicate that ongoing advancements in quantum hardware, algorithms, and hybrid quantum–classical architectures are shaping the future of information technology, particularly in areas such as data processing, optimization, cybersecurity, and intelligent systems. However, despite its significant potential, quantum computing development still faces challenges including hardware scalability, error correction, system stability, and workforce readiness. Therefore, sustained research and strategic planning are essential to ensure that quantum computing can be effectively integrated into information technology ecosystems in the future.
Quantum Computer Technology and Its Impact on Information Processing
Quantum computer technology has emerged as a revolutionary approach to computation that has the potential to significantly transform information processing capabilities. Unlike classical computers that rely on binary logic, quantum computers utilize quantum bits (qubits) governed by the principles of quantum mechanics, enabling more efficient processing of certain computational tasks. This article aims to analyze quantum computer technology and examine its impact on information processing in modern computing environments. The research method employed is a literature review, drawing on scientific journals, reference books, and recent research publications related to quantum computing. The results indicate that quantum computer technology can substantially enhance information processing performance, particularly in optimization, simulation, cryptography, and large-scale data analysis. However, the adoption of quantum computing also faces considerable challenges, including hardware limitations, error rates, system stability, and integration with classical information processing systems. Therefore, continuous research and technological development are essential to fully realize the impact of quantum computer technology on future information processing systems.
Quantum Computing: Opportunities and Challenges in Modern Computing Systems
Quantum computing has emerged as an innovative computational paradigm that offers new possibilities for addressing complex problems beyond the capabilities of classical computing systems. By utilizing the principles of quantum mechanics, such as superposition and entanglement, quantum computing enables significant improvements in computational efficiency for specific problem domains. This article aims to examine the opportunities and challenges associated with the adoption of quantum computing in modern computing systems. The research method employed is a literature review, analyzing scientific journals, reference books, and recent research publications related to quantum computing. The findings indicate that quantum computing provides substantial opportunities in areas such as optimization, cryptography, simulation, and large-scale data processing. However, its practical implementation is still constrained by various challenges, including hardware scalability, error rates, algorithm complexity, and integration with classical computing infrastructures. Therefore, understanding both the opportunities and challenges of quantum computing is essential to guide future research and development efforts in modern computing systems.
Integration of Quantum Computing and Classical Computing in Modern Systems
The rapid development of computing technologies has highlighted the need for advanced computational paradigms capable of addressing complex and large-scale problems. Quantum computing has emerged as a promising technology with the potential to complement classical computing rather than completely replace it. This article aims to examine the integration of quantum computing and classical computing within modern computing systems. The research method employed is a literature review, analyzing scientific journals, reference books, and recent research publications related to hybrid quantum–classical computing architectures. The findings indicate that the integration of quantum and classical computing enables the development of hybrid systems that leverage the strengths of both paradigms, particularly in optimization, simulation, machine learning, and data processing applications. Classical computing remains essential for control, data preprocessing, and system orchestration, while quantum computing provides computational acceleration for specific tasks. However, challenges such as system interoperability, algorithm design, hardware limitations, and scalability persist. Therefore, effective integration strategies are crucial to maximize the benefits of quantum–classical hybrid systems in modern computing environments.
Utilization of Quantum Computing for Solving Large-Scale Computational Problems
The rapid growth of data volume and problem complexity in modern computing environments has increased the demand for computational approaches capable of handling large-scale problems efficiently. Quantum computing has emerged as a promising paradigm that leverages the principles of quantum mechanics to overcome the limitations of classical computing. This article aims to examine the utilization of quantum computing in solving large-scale computational problems. The research method employed is a literature review, analyzing scientific publications, reference books, and recent research studies related to quantum computing and large-scale computation. The findings indicate that quantum computing offers significant advantages in addressing large-scale problems, particularly in optimization, simulation, machine learning, and data-intensive applications. Quantum algorithms have demonstrated the potential to reduce computational complexity and processing time for problems that are intractable for classical systems. However, practical utilization remains constrained by challenges such as hardware scalability, error rates, algorithmic complexity, and integration with classical computing infrastructures. Therefore, continued research and development are required to fully harness quantum computing for large-scale computational problem solving in future computing systems.
Quantum Computers and Their Implications for Information Security
implications for information security. Quantum computers leverage principles of quantum mechanics that enable computational capabilities far beyond those of classical computers, particularly in solving mathematical problems underlying modern cryptographic systems. This article aims to examine the implications of quantum computers for information security, focusing on both potential threats and emerging security solutions. The research method employed is a literature review, analyzing scientific journals, reference books, and recent studies related to quantum computing and cryptography. The results indicate that quantum computing poses serious risks to widely used cryptographic algorithms, such as public-key encryption and digital signatures. At the same time, it also offers new opportunities through the development of quantum-resistant cryptography and quantum key distribution. However, challenges related to technological readiness, infrastructure, and standardization remain significant. Therefore, understanding the implications of quantum computing is essential for preparing future information security systems that are resilient in the post-quantum era.
The Role of Quantum Computing in the Development of Future Information Systems
The rapid evolution of information systems demands increasingly advanced computational capabilities to manage large-scale, complex, and dynamic data. Quantum computing has emerged as a transformative paradigm that offers new possibilities beyond the limitations of classical computing. This article aims to examine the role of quantum computing in the development of future information systems. The research method employed is a literature review, analyzing scientific publications, reference books, and recent research reports related to quantum computing and information systems. The findings indicate that quantum computing has the potential to significantly enhance the performance of information systems, particularly in areas such as data processing, optimization, security, and decision support systems. Furthermore, the integration of quantum computing with classical information system architectures may enable more efficient and intelligent system designs. However, several challenges remain, including technological maturity, system scalability, data integration, and the availability of skilled human resources. Therefore, continuous research and strategic development are essential to ensure the effective adoption of quantum computing in future information systems.
The Potential of Quantum Computers in Optimizing Complex Data Processing
Perkembangan teknologi komputasi kuantum menunjukkan kemajuan yang signifikan dan menjadi salah satu fokus utama riset di bidang teknologi informasi modern. Komputasi kuantum menawarkan kemampuan pemrosesan yang jauh melampaui komputasi klasik dalam menyelesaikan permasalahan tertentu yang bersifat kompleks dan berskala besar. Artikel ini bertujuan untuk mengkaji tren perkembangan komputasi kuantum serta tantangan yang dihadapi dalam proses implementasinya di masa depan. Metode penelitian yang digunakan adalah studi literatur dengan menelaah berbagai publikasi ilmiah, buku referensi, dan laporan penelitian terkini terkait komputasi kuantum. Hasil kajian menunjukkan bahwa tren pengembangan komputasi kuantum saat ini mengarah pada peningkatan jumlah qubit, pengembangan algoritma kuantum, serta integrasi sistem kuantum dengan komputasi klasik. Namun demikian, implementasi komputasi kuantum masih menghadapi berbagai tantangan, seperti keterbatasan stabilitas qubit, tingginya tingkat kesalahan komputasi, kebutuhan infrastruktur yang kompleks, serta keterbatasan sumber daya manusia. Oleh karena itu, pemahaman terhadap tren dan tantangan komputasi kuantum menjadi penting sebagai dasar perencanaan dan pengembangan teknologi ini agar dapat diterapkan secara optimal di masa depan.