Analisis Akun Twitter Berpengaruh Terkait Serangan Cyber Bjorka menggunakan Metode Social Network Analysis
DOI:
https://doi.org/10.35870/jtik.v7i4.1005Keywords:
Twitter, Cyber Attack, Social Network AnalysisAbstract
Twitter has become a social media for spreading and viewing the amount of information, such as information recently related to the data theft committed by Bjorka and has become quite a lively conversation on Twitter. The purpose of this research is to find out the most influential accounts related to Bjorka's popularity on social media. This study uses statistical methods of degree centrality, betweenness centrality, and closeness centrality. Based on the research conducted, there is an account that has the highest influence, @conversewhteold with a degree centrality value of 122, betweenness centrality 0.000067, and a Closeness Centrality 1.0 also from the top 8 accounts, 7 of them tweets revealed that Bjorka had made false publications related to the theft what was done was even falsifying and selling data, then there was 1 account stating that the application made by the government for the public did not have data security guarantees.
Downloads
References
Aisyah, P.N., Bakry, G.N. and Sjafirah, N.A., 2022. Analisis Jejaring Sosial Peran Pers dalam Penyebaran Informasi Terkait Kebijakan PPKM. Jurnal Komunikasi Global, 11(1), pp.43-65.
We are social, 2022. The Global State Digital in July 2022. Available at: https://wearesocial.com/uk/blog/2022/07/the-global-state-of-digital-in-july-2022/.
Purwati, P., Mulyana, E. and Aprily, N.M., 2021. Analisis pola penggunaan tagar viral sebagai media pendidikan karakter netizen (Studi kritis pada fenomena global mengenai tagar# dajjal di Twitter). Journal Civics and Social Studies, 5(1), pp.48-64. DOI: https://doi.org/10.31980/civicos.v5i1.1071.
M. A. Rizaty, 2022. Pengguna Twitter di Indonesia Capai 18,45 Juta pada 2022. Available at: https://dataindonesia.id/digital/detail/pengguna-twitter-di-indonesia-capai-1845-juta-pada-2022.
Zukhrufillah, I., 2018. Gejala media sosial twitter sebagai media sosial alternatif. Al-I'lam: Jurnal Komunikasi dan Penyiaran Islam, 1(2), pp.102-109. DOI: https://doi.org/10.31764/jail.v1i2.235.
Mailoa, E., 2020. Analisis Node dengan Centrality dan Follower Rank pada Twitter. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 4(5), pp.937-942.
Gusriza, F., 2022. Opini Pengguna Media Sosial Twitter Terhadap Viralnya Video Lesehan Malioboro Dan Pengaruhnya Terhadap Pariwisata. Jurnal Pesona PARIWISATA, 1(1), pp.45-52. Available at: http://peta.upnjatim.ac.id/index.php/peta/article/view/13%0Ahttp://peta.upnjatim.ac.id/index.php/peta/article/download/13/8.
Sutikno, T. and Stiawan, D., 2022. Cyberattacks and data breaches in Indonesia by Bjorka: hacker or data collector?. Bulletin of Electrical Engineering and Informatics, 11(6), pp.2989-2994. DOI: https://doi.org/10.11591/eei.v11i6.4854.
Raodia, R., 2019. Pengaruh Perkembangan Teknologi Terhadap Terjadinya Kejahatan Mayantara (Cybercrime). Jurisprudentie: Jurusan Ilmu Hukum Fakultas Syariah Dan Hukum, 6(2), pp.230-239. DOI: https://doi.org/10.24252/jurisprudentie.v6i2.11399.
Zy, A.T., Nugroho, A., Rivaldi, A. and Afriantoro, I., 2022. Analisis Sentimen Terhadap Pembobolan Data pada Twitter dengan Algoritme Naive Bayes. J. Teknol. Inform. dan Komput, 8(2), pp.202-213. DOI: https://doi.org/10.37012/jtik.v8i2.1240.
F. C. Rosana, 2022. 44 Juta Data My Pertamina Diduga Dibobol Bjorka, Pertamina Gelar Investigasi. Available at: https://bisnis.tempo.co/read/1655373/44-juta-data-my-pertamina-diduga-dibobol-bjorka-pertamina-gelar-investigasi.
Utami, S.R., Safitri, R.N. and Kuncoroyakti, Y.A., 2021. Analisis jaringan dan aktor# BatalkanOmnibusLaw di media sosial Twitter menggunakan social network analysis (SNA). Journal of Media and Communication Science, 4(3), pp.135-148.
Kartino, A. and Anam, M.K., 2021. Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 5(4), pp.697-704. DOI: https://doi.org/10.29207/resti.v5i4.3160.
Nursiyono, J.A. and Chotimah, C., 2021. Analisis Sentimen Netizen Twitter terhadap Pemberitaan PPN Sembako dan Jasa Pendidikan dengan Pendekatan Social Network Analysis dan Naive Bayes Classifier. J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika, 14(1), pp.52-58. DOI: https://doi.org/10.36456/jstat.vol14.no1.a3868.
Mastan, I.A. and Christianto, C., 2021. Penerapan Social Network Analysis Dalam Menganalisis Kerjasama Tokopedia Dengan Boyband Korea BTS. BIP's JURNAL BISNIS PERSPEKTIF, 13(1), pp.32-42. DOI: https://doi.org/10.37477/bip.v13i1.200.
Roji, M.F.F. and Irhamah, I., 2019. Topic Discovery pada Dokumen Abstrak Jurnal Penelitian di Science Direct Menggunakan Association Rule. Inferensi, 2(2), pp.97-105. DOI: https://doi.org/10.12962/j27213862.v2i2.6824.
Isnaini Sugiarta, A. and Negara, E.S., 2018, October. Analisis sentralitas aktor pada struktur jaringan politik dengan menggunakan metode social network analysis (sna): Studi kasus group facebook lembaga survei sosial media. In Seminar Nasional Teknologi Informasi dan Komunikasi (SEMNASTIK) (Vol. 1, No. 1, pp. 203-209).
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Denise Sheryl Adilla, Evangs Mailoa
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
