Identifying Dominant Actors of Ferdy Sambo's Case Network on Social Media X/Twitter Using Social Network Analysis for Public Relations Strategy

DOI: https://doi.org/10.30996/jitcs.10852
Keywords: Ferdy Sambo, organization image, public relations strategy, Social Network Analysis, Twitter, X

Abstract

The Indonesian National Police (Polri) has experienced ups and downs in building a positive image in interacting with the public. This decline in trust is caused by the emergence of various issues that show the low performance of the police. In the Ferdy Sambo case study, the performance and integrity of the police is at stake and the sensitivity of the police to meet public expectations. One solution to im-prove the image is through an effective public relations strategy. However, to develop it, a deep un-derstanding of the characteristics and interaction patterns between social media through social net-work analysis is required. This research aims to identify influential X/Twitter actors in the case study of Inspector General Ferdy Sambo by applying the centrality method in Social Network User Analysis. The results of centrality analysis on the network show a wide variety of centrality levels. The @Zaindamai account dominates with the highest Degree Centrality value of 0.426829, indicating the number of connections in the network. The main role in disseminating information is held by @Zaindamai with the highest Betweenness Centrality value of 0.325748, indicating its role in connect-ing various networks. @Rizkynu46127931 stands out in Closeness Centrality with a high value of 0.497791, signifying quick and efficient access to all parts of the social network. In addition, @Rizkynu46127931 has significant influence in the network based on the highest Eigenvector Cen-trality of 0.245625. This centrality value forms the basis for formulating a more focused public relations strategy, improving the efficiency of communication with stakeholders, and designing a more concrete public relations plan.

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Author Biographies

Novi Prastiti, Universitas Trunojoyo

Department of Information Systems

Budi Dwi Satoto, Universitas Trunojoyo

Department of Information Systems

Moch Rizal Efendi, Universitas Trunojoyo

Department of Information Systems

References

Alfian, E. (2020). Tugas dan Fungsi Kepolisian Untuk Meningkatkan Kepercayaan Publik terhadap Penegak Hukum. Legalitas: Jurnal Hukum, 12(1), 27–37. https://doi.org/10.33087/legalitas.v12i1.192

Das, K., & Sinha, S. K. (2017). Essential pre-processing tasks involved in data preparation for social network user behaviour analysis. 2017 International Conference on Intelligent Sustainable Systems (ICISS), 28–32. https://doi.org/10.1109/ISS1.2017.8389423

Ediger, D., Jiang, K., Riedy, J., Bader, D. A., Corley, C., Farber, R., & Reynolds, W. N. (2010). Massive Social Network Analysis: Mining Twitter for Social Good. 2010 39th International Conference on Parallel Processing, 583–593. https://doi.org/10.1109/ICPP.2010.66

Farisa, F. C. (2022). Survei Litbang “Kompas”: Citra Positif Polri Terus Merosot, Kini di Bawah 50 Persen. Kompas.Com. https://nasional.kompas.com/read/2022/10/27/10301721/survei-litbang-kompas-citra-positif-polri-terus-merosot-kini-di-bawah-50

Handaningtias, U. R., Praceka, P. A., & Indriyany, I. A. (2022). Kepercayaan Publik (Public Trust) Terhadap Polisi: Studi Mengenai Wacana Public Dalam #Percumalaporpolisi Dengan Pendekatan Big Data Analysis. International Journal of Demos, 4(3), 940–953. https://doi.org/10.37950/ijd.v4i3.280

Indrayani, I. I. (2022). Retorika dan Power Relations: Strategi Restorasi Citra Kepolisian Republik Indonesia pada Kasus Ferdy Sambo. Komunikatif: Jurnal Ilmiah Komunikasi, 11(2), 165–178. https://doi.org/10.33508/jk.v11i2.4270

Mujianto, H. (2018). Pengaruh Strategi Public Relations Terhadap Citra Perusahaan (Studi Kasus pada Hotel Grand Kopo Bandung). Jurnal Komunikasi Universitas Garut: Hasil Pemikiran Dan Penelitian, 4(1), 88–96. Pengaruh Strategi Public Relations Terhadap Citra Perusahaan (Studi Kasus pada Hotel Grand Kopo Bandung)

Nugraha, P. A., Joram, S. Z., Ngemas, N. S. A. T., & Ardyananda, R. (2022). Analisis Struktur Jaringan Sosial Pengguna Twitter dengan Tagar #G20Indonesia. Mediakom: Jurnal Ilmu Komunikasi, 6(1), 29–45. https://doi.org/10.35760/mkm.2022.v6i1.6471

Nurhazizah, E., Ichsan, R. N., & Widiyanesti, S. (2022). Analisis Sentimen dan Jaringan Sosial pada Penyebaran Informasi Vaksinasi di Twitter. Swabumi (Suara Wawasan Sukabumi): Ilmu Komputer, Manajemen, Dan Sosial, 10(1), 24–35. https://doi.org/10.31294/swabumi.v10i1.12474

Puspitarini, D. S., & Nuraeni, R. (2019). Pemanfaatan Media Sosial sebagai Media Promosi (Studi Deskriptif pada Happy Go Lucky House). Common: Jurnal Program Studi Ilmu Komunikasi FISIP Unikom, 3(1), 71–80. https://doi.org/10.34010/common.v3i1.1950

Radjah, E. G., Iriani, A., & Manongga, D. H. F. (2023). Analisis Terhadap Tagar #LGBT di Twitter Menggunakan Analisis Jaringan Sosial (SNA). Jurnal Media Informatika Budidarma, 7(1), 300–311. https://doi.org/10.30865/mib.v7i1.5476

Restanti, A. S. (2015). Challenges and Strategies to Develop a Positive Image of the Library. Record and Library Journal, 1(2), 94–104. https://e-journal.unair.ac.id/RLJ/article/view/7070

Supada, W. (2020). Peran Public Relations dalam Membangun Pencitraan Positif Organisasi. Communicare, 1(1), 92–100.

Syafuddin, K. (2022). Analisis Jaringan Isu #percumalaporpolisi Sebagai Bentuk Rendahnya Kepercayaan Netizen Terhadap Kepolisian di Twitter. JIKA (Jurnal Ilmu Komunikasi Andalan), 5(1), 24–42. https://unma.ac.id/jurnal/index.php/jika/article/view/3843

Tsvetovat, M., & Kouznetsov, A. (2011). Social Network Analysis for Startups: Finding Connections on the Social Web. O’Reilly Media, Inc. https://www.oreilly.com/library/view/social-network-analysis/9781449311377/

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.

Zhang, J., & Luo, Y. (2017). Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network. Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017), 132, 300–303. https://doi.org/10.2991/msam-17.2017.68

Published
2024-07-10
How to Cite
Prastiti, N., Satoto, B. D., & Efendi, M. (2024). Identifying Dominant Actors of Ferdy Sambo’s Case Network on Social Media X/Twitter Using Social Network Analysis for Public Relations Strategy. Journal of Information Technology and Cyber Security, 2(1), 25-39. https://doi.org/10.30996/jitcs.10852
Issue
Vol 2 No 1 (2024): January
Section
Research Article

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