Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal The Journal of Enhanced Studies in Informatics and Computer Applications
Risqy Siwi Pradini
Institut Teknologi Sains dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW, Indonesia
Computer Science & IT

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Systematic Literature Review on Data Security and Privacy for e-Government Mela Firdini Azzahra; Ardhan Aghsal Dwi Putra; Jingga Mustika Putri; Maulana Aditya; Risqy Siwi Pradini
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 3 No. 1 (2026): JESICA Vol. 3 No. 1 2026
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v3i1.35

Abstract

The use of e-Government is increasing along with efforts to improve the efficiency, transparency, and quality of public services. However, advances in digitalization are also accompanied by cybersecurity risks and threats to data privacy. This study aims to examine the implementation of data security and privacy in e-Government, as well as evaluate the technologies used to mitigate data leaks and misuse. The method used is Systematic Literature Review of articles published between 2021 and 2025 through Scopus, ScienceDirect, and Google Scholar databases. The research selection followed the PRISMA 2020 guidelines, resulting in 16 articles meeting the eligibility criteria. The study findings indicate that information security implementation in government institutions remains inconsistent, with key challenges related to weak security management, technical system vulnerabilities, and low public trust in personal data protection. Several technologies considered to have potential to improve security include blockchain, advanced cryptography, and automation for vulnerability detection, although their implementation remains hampered by cost, scalability, and human resource readiness. Overall, this study emphasizes that a comprehensive approach that combines technology, management, and increased security awareness is needed to strengthen data protection in e-Government.
A Systematic Literature Review of Artificial Intelligence Algorithms for Deepfake Detection Aulia Roessati Putri; Bintang Aulia Novala; Deva Muhammad Syaiful Arifin; Zulhilmi Luthfiah; Risqy Siwi Pradini
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 3 No. 1 (2026): JESICA Vol. 3 No. 1 2026
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v3i1.39

Abstract

The evolution of information technology has positioned multimedia content as a pillar of digital communication, but at the same time, it has opened a gap for serious threats in the form of deepfakes. This highly realistic media manipulation challenges information authenticity, privacy, and cybersecurity, which, for Information Technology professionals, presents both technical and ethical challenges. This Systematic Literature Review (SLR) aims to map the development of Artificial Intelligence based algorithms in deepfake detection. Using the PRISMA methodology on 20 selected primary articles (2021-2025), this study aims to identify trends in the use of AI algorithms for deepfake detection, determine the most effective approaches, and analyze the factors contributing to their effectiveness. The analysis results show a paradigm shift from single models (such as CNN) to hybrid architectures (CNN-LSTM-Transformer) and complex multimodal fusion systems. It was found that hybrid algorithms are the closest approach to best practice due to their ability to handle spatial and temporal dimensions simultaneously. Key contributing factors include hierarchical feature extraction, generative data augmentation, and the integration of Explainable AI (XAI).
Co-Authors Ardhan Aghsal Dwi Putra Aulia Roessati Putri Bintang Aulia Novala Deva Muhammad Syaiful Arifin Jingga Mustika Putri Maulana Aditya Mela Firdini Azzahra Zulhilmi Luthfiah