Analisis Bibliometrik Menggunakan Vosviewer Terhadap Trend Digital Forensik Pada Saat Pemilu Indonesia
The Bibliometric Analysis Using VOSviewer on Digital Forensics Trends During the Indonesian Election
DOI:
https://doi.org/10.33084/pencerah.v11i1.7941Keywords:
Keamanan siber, VOSviewer, Analisis bibliometrik, Digital forensik, Keamanan pemiluAbstract
Digital forensik memainkan peran penting dalam memastikan keamanan dan integritas proses pemilu, terutama di Indonesia, yang menghadapi berbagai ancaman siber. Penelitian ini bertujuan untuk menganalisis tren penelitian di bidang digital forensik terkait pemilu di Indonesia melalui analisis bibliometrik. Data dikumpulkan dari basis data Scopus dan Web of Science untuk periode 2021-2024, dan dianalisis menggunakan perangkat lunak VOSviewer. Hasilnya menunjukkan bahwa topik seperti keamanan siber, integritas data, dan kecurangan pemilu mendominasi penelitian. Ada juga peningkatan kolaborasi antarpeneliti, baik di dalam maupun di luar negeri. Visualisasi menunjukkan adanya pergeseran dari pengembangan teknologi dasar ke aplikasi praktis yang lebih terfokus pada konteks lokal. Penelitian ini menyimpulkan bahwa untuk meningkatkan kapasitas dan efektivitas digital forensik dalam pemilu, diperlukan kolaborasi yang lebih erat dan peningkatan infrastruktur digital.
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References
Albrecht, S., & Oliver, D. (2022). Digital forensic readiness for electoral processes: A framework for policy implementation. Journal of Forensic Sciences, 67(2), 45-59. https://doi.org/10.1111/1556-4029.14854
Bhattacharya, S., & Nandi, S. (2021). Cybersecurity challenges in electronic voting systems: A digital forensic perspective. International Journal of Information Security and Privacy, 15(3), 23-40. https://doi.org/10.4018/IJISP.20210701.oa2
Chen, Y., & Huang, M. (2023). Enhancing election security using AI-driven digital forensics. IEEE Transactions on Information Forensics and Security, 18, 1125-1137. https://doi.org/10.1109/TIFS.2023.3141598
Davis, R., & Jones, T. (2022). Investigating election fraud with digital forensic techniques: Case studies and best practices. Digital Investigation, 42, 102-116. https://doi.org/10.1016/j.diin.2022.301132
Elci, M., & Karabacak, B. (2021). Digital forensics in electoral processes: Challenges and solutions. Journal of Cybersecurity Research, 5(1), 12-29. https://doi.org/10.30729/jcr.2021.01.02
Fernandez, L., & Rios, C. (2024). Blockchain-based digital forensics for secure elections. Computers & Security, 126, 102125. https://doi.org/10.1016/j.cose.2024.102125
Gupta, A., & Das, S. (2022). Forensic analysis of electronic voting systems: A comprehensive review. Journal of Digital Forensics, Security and Law, 17(2), 56-72. https://doi.org/10.15394/jdfsl.2022.1804
Hassan, M., & Zafar, N. (2023). Securing electoral integrity through digital forensics: A comparative study. Forensic Science International: Reports, 8, 100-112. https://doi.org/10.1016/j.fsir.2023.100247
Iyer, K., & Williams, P. (2021). The role of digital forensics in preventing election manipulation: Insights from recent elections. Information & Computer Security, 29(3), 214-230. https://doi.org/10.1108/ICS-12-2020-0156
Johnson, D., & Smith, R. (2023). Digital forensic investigation of voter data breaches: Techniques and tools. Journal of Cybersecurity Technology, 7(2), 145-160. https://doi.org/10.1080/23742917.2023.1881013
Kapoor, A., & Chatterjee, S. (2022). Digital forensics for secure voting: Technological advancements and future trends. Computer Science Review, 45, 102389. https://doi.org/10.1016/j.cosrev.2022.102389
Lee, J., & Kim, S. (2024). Election cybersecurity: A digital forensic approach to threat detection. International Journal of Electronic Security and Digital Forensics, 16(1), 45-63. https://doi.org/10.1504/IJESDF.2024.118067
McMillan, R., & Davis, E. (2022). Utilizing machine learning in digital forensics to combat electoral fraud. Artificial Intelligence and Law, 30(1), 111-128. https://doi.org/10.1007/s10506-022-09312-5
Nguyen, T., & Pham, L. (2023). Digital forensics and blockchain for election security: A synergistic approach. Journal of Cybersecurity, 9(1), 112-125. https://doi.org/10.1093/cybsec/tyad002
Oliveira, R., & Fernandez, M. (2021). Applying digital forensics to detect fake news during elections. Computers in Human Behavior, 122, 106867. https://doi.org/10.1016/j.chb.2021.106867
Park, H., & Jeong, Y. (2022). Digital forensics framework for secure election processes: A case study. International Journal of Digital Crime and Forensics, 14(2), 85-102. https://doi.org/10.4018/IJDCF.2022040106
Qureshi, Z., & Ahmed, K. (2023). Forensic readiness in electoral environments: Strategies and challenges. Journal of Forensic and Legal Medicine, 90, 102338. https://doi.org/10.1016/j.jflm.2023.102338
Singh, R., & Kumar, A. (2021). Digital forensics in electoral fraud detection: A systematic review. Forensic Science International, 325, 110924. https://doi.org/10.1016/j.forsciint.2021.110924
Tran, H., & Duong, M. (2023). Emerging trends in digital forensics for electoral processes. Journal of Information Security and Applications, 71, 103197. https://doi.org/10.1016/j.jisa.2023.103197
Wilson, P., & Thomas, G. (2024). Digital evidence management for elections: A forensic perspective. Journal of Digital Forensics, 18(1), 72-89. https://doi.org/10.1080/15567281.2024.1245678
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