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All Journal UPGRADE: Jurnal Pendidikan Teknologi Informasi Journal of Multiscale Materials Informatics
Moch. Anjas Aprihartha
Universitas Dian Nuswantoro
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Industrial & Manufacturing Engineering Materials Science & Nanotechnology Other

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Quantum Cryptography – Principles, Protocols, and Future Directions: A Review Dian Arif Rachman; Muhamad Akrom; Didik Hermanto; Moch. Anjas Aprihartha; Khafiizh Hastuti; Ayu Pertiwi; Purwanto
Journal of Multiscale Materials Informatics Vol. 3 No. 1 (2026): April
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v3i1.15959

Abstract

The rapid advancement of quantum computing poses a significant threat to classical cryptographic systems that rely on the computational hardness of mathematical problems such as integer factorization and discrete logarithm problems. In this context, quantum cryptography has emerged as a promising paradigm for secure communication based on the fundamental principles of quantum mechanics rather than on computational assumptions. This paper presents a comprehensive review of quantum cryptography, with a particular focus on Quantum Key Distribution (QKD), the most mature application. The study discusses the theoretical foundations of quantum security, including superposition, entanglement, and the No-cloning theorem, which collectively enable eavesdropping detection and guarantee information-theoretic security. Furthermore, the review examines major QKD protocols, such as BB84 and E91, as well as their advanced variants designed to address practical vulnerabilities and enhance performance. Recent progress in real-world implementations, including fiber-optic networks, free-space communication, and satellite-based systems such as the Micius satellite, is also analyzed. In addition, the paper highlights critical challenges related to scalability, hardware limitations, and security loopholes arising from imperfect devices. Finally, emerging research directions, including hybrid cryptographic frameworks that integrate quantum and post-quantum approaches, are discussed to provide insights into the future of secure communication. This review aims to provide a structured, up-to-date understanding of quantum cryptography, bridging the gap between theoretical developments and practical implementations, and emphasizing its crucial role in shaping next-generation cybersecurity systems.
Algoritma Klasifikasi Naive Bayes dalam Identifikasi Pasien Demam Berdarah Dangue (DBD) Moch. Anjas Aprihartha; Zulhandi Putrawan; Dicky Zulhan
Upgrade : Jurnal Pendidikan Teknologi Informasi Vol 3 No 1 (2025): Agustus
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/upgrade.v3i1.5457

Abstract

Dengue fever (DF) is an illness caused by the Dengue virus, transmitted to humans through the bite of female Aedes aegypti mosquitoes, and the rise in DF cases often leads to a surge in hospital visits that can result in shortages of beds and medical personnel. In severe conditions, patients require treatment from health professionals experienced in managing this disease, and with advancements in scientific methods, classification techniques have become essential in identifying the severity level of DF patients to determine immediate and necessary treatment. This study aims to classify DF patients who require inpatient care by applying the Naive Bayes method to 230 observation records obtained from medical data of DF patients at Anwar Makkatutu Hospital in Bantaeng Regency during the 2019–2020 period, with model performance evaluated using a confusion matrix. The findings show that the Naive Bayes algorithm demonstrates fairly good performance in identifying patients who need hospitalization and those who do not, indicated by its AUC, accuracy, sensitivity, and specificity values of 0.702, 70.11%, 59.09%, and 81.40%, respectively. These results support more efficient allocation of limited healthcare resources and offer practical implications for clustering DF patients who require medical attention, enabling health authorities to improve planning, prepare adequate medical facilities, and optimize treatment readiness, while also contributing valuable insights to the scientific literature on related topics.
Co-Authors Ayu Pertiwi Dian Arif Rachman Dicky Zulhan Didik Hermanto Khafiizh Hastuti Muhamad Akrom Purwanto Purwanto Zulhandi Putrawan