ANALISIS JARINGAN KOMUNIKASI HOLYWINGS PADA PROMOSI MUHAMMAD-MARIA DI TWITTER

Dwi Setyo Aji, Irwan Dwi Arianto

Abstract


This study is aim for map communication network formed when Holywings company got Public Relation Crisis during their product campaign using Muhammad Maria in Social Media Twitter. This issue have been considered by community as a religious blasphemy. This research aim to determine actors who control the information in this issue which lead actors can influence audience’s sentiment in the issue itself. This actors will create a cluster who will affect Holywings corporate image in Public Relations theory. Researchers used a quantitative research methods with a descriptive approach in conducting this research. This research use NodeXL as software for data mining and data analysis for find metrics and actors inside the network. This method used since conversation in internet era cannot analyzed in tradisional technique. Based on analysis that has been done there are 3 main actors @imanlagi, @catchmeupid dan @knpiharis. In communication network there are 3 main clusters created.


Keywords


public relations; big data; communication network analysis; Twitter

Full Text:

PDF

References


Arianto, I. D. (2019). Analyzing Social Media Network For Students In Presidential Election 2019 With NODEXL. Jurnal Ilmu Komunikasi, 2, 63–72. Retrieved from https://scholar.google.co.id/citations?view_op=view_citation&hl=id&user=B5vWAdkAAAAJ&citation_for_view=B5vWAdkAAAAJ:eQOLeE2rZwMC

Austin, L., & Jin, Y. (2017). SOCIAL MEDIA AND CRISIS COMMUNICATION. In Taylor & Francis Group. New York: Routledge. https://doi.org/10.4324/9781315749068

Campesato, O. (2021). Natural Language procesing fundementals for developers. Virginia: MERCURY LEARNING AND INFORMATION.

Damayanti, A. (2020). Paracrisis and Social Media: A Social Network Analysis of Hashtag uninstallbukalapak on Twitter. Komunikator, 12(1). https://doi.org/10.18196/jkm.121032

Firmaningsih, R. (2019). Media Sosial, Big Data dan Sosio Humaniora. Retrieved March 18, 2022, from https://chub.fisipol.ugm.ac.id/2019/03/11/media-sosial-big-data-dan-sosio-humaniora/

Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. Retrieved from http://arxiv.org/abs/2203.05794

Hafidzah, H. (2022). Holywings Minta Maaf Unggah Promo Minuman Alkohol Pakai Nama Muhammad. Retrieved July 6, 2022, from republika.co.id website: https://www.republika.co.id/berita/rdx22s377/holywings-minta-maaf-unggah-promo-minuman-alkohol-pakai-nama-muhammad

Hamidi. (2005). Metode Penelitian Kualitatif Pembuatan Proposal dan Laporan Penelitian. Malang: UMM Press. Retrieved from https://ummpress.umm.ac.id/katalog/detail/metodepenelitiankualitatif.html

Li, H., Ma, Y., Ma, Z., & Zhu, H. (2021). Weibo text sentiment analysis based on bert and deep learning. Applied Sciences (Switzerland), 11(22). https://doi.org/10.3390/app112210774

Lidero, M. H. (2021). mdhugol/indonesia-bert-sentiment-classification. Retrieved from https://huggingface.co/mdhugol/indonesia-bert-sentiment-classification

Oracle. (2021). What Is Big Data? Retrieved April 12, 2022, from https://www.oracle.com/big-data/what-is-big-data/

Permatasari, A. N., Soelistiyowati, E., Suastami, I. G. A. P. P., & Johan, R. A. (2021). Digital Public Relations: Trend and Required Skills. Jurnal ASPIKOM, 6(2), 373. https://doi.org/10.24329/aspikom.v6i2.836

Rabbani, A. P., Alamsyah, A., & Widiyanesty, S. (2020). Analisa Interaksi User di Media Sosial Mengenai Industri Fintech Menggunakan Social Network Analysis (Studi Kasus: GoPay, OVO dan LinkAja). Jurnal Mitra Manajemen, 4(3), 341–351.

Rachmawati, F., Wibowo, A. A., & Arianto, I. D. (2022). Sentiment Analysis # samasamabelajar Public Relations Campaign Based on Big Data on TikTok. PROCEEDING OF THE INTERNATIONAL CONFERENCE ON ECONOMICS AND BUSINESS, 1(2). https://doi.org/10.55606/iceb.v1i1.189

Ramadhan, R. (2018, September 21). No Setara: Jumlah Kasus Penistaan Agama Membengkak Usai Reformasi Setara: Jumlah Kasus Penistaan Agama Membengkak Usai Reformasi. Tirto. Retrieved from https://tirto.id/setara-jumlah-kasus-penistaan-agama-membengkak-usai-reformasi-c1J6

Seta, R. A. (2022). Penelitian Public Relation Eiger Adventure. JURNAL PUBLIC RELATIONS-JPR, 3, 107–110. Retrieved from http://jurnal.bsi.ac.id/index.php/jpr/article/view/1362

Sugiyono. (2016). METODE PENELITIAN KUANTITATIF, KUALITATIF DAN R&D (2nd ed.). Bandung: Penerbit Alfabeta.

Suratnoaji, C., & Arianto, I. D. (2021). Metode Riset Sosial berbasis Big Data. Jakarta: Penerbit Erlangga. Retrieved from https://e-library.erlanggaonline.co.id/info_product/detail/0073330030

Suratnoaji, C., Nurhadi, & Arianto, I. D. (2020). Public opinion on lockdown (PSBB) policy in overcoming covid-19 pandemic in indonesia: Analysis based on big data twitter. Asian Journal for Public Opinion Research, 8(3), 393–406. https://doi.org/10.15206/ajpor.2020.8.3.393

Syafaat, M., & Wahyudin, D. (2020). Analisis Implementasi Digital Public Relations Pada Konten Instagram @Alaminuniversal. Jurnal Pustaka Komunikasi, 3(1), 1–12. Retrieved from https://journal.moestopo.ac.id/index.php/pustakom/article/download/941/558

Topan, D. A., & Widiasanty, G. (2022). Strategi Marketing Public Relations Urban Republic Dalam Membangun Brand Awareness. Jurnal Pustaka Komunikasi, 5(1), 65–76. https://doi.org/10.32509/pustakom.v5i1.1755

Turban, E., King, D., Lee, J. K., Liang, T.-P., & Turban, D. C. (2015). Electronic Commerce - A Managerial and Social Perspective. In Springer. New York: Springer. Retrieved from http://www.springer.com/gp/book/9783319100906

Woma, J., & Ngo, K. (2019). Comparisons of Community Detection Algorithms in the YouTube Network.

Zarkasi, A. H. T. S., & Arianto, I. D. (2022). ANALISIS JARINGAN KOMUNIKASI DALAM PERSEBARAN INFORMASI TERKAIT ISU KUDETA PARTAI DEMOKRAT DI MEDIA SOSIAL TWITTER. Jurnal Komunikasi Universitas Garut : Hasil Pemikiran Dan Penelitian, 10(10). https://doi.org/http://dx.doi.org/10.52434/jk.v8i2.1337.g1372




DOI: https://doi.org/10.32509/pustakom.v6i1.2438

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Jurnal Pustaka Komunikasi

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

Indexed by:

    

Recommended Tools :

 


Jurnal Pustaka Komunikasi

Fakultas Ilmu KomunikasiUniversitas Prof. Dr. Moestopo (Beragama)
Kampus I, Jl. Hang Lekir I/8 Jakarta Pusat, Indonesia 10270
WA: 085714422271 (Chat Only)

email: pustakom@dsn.moestopo.ac.id

 

Copyright (c) 2022 Jurnal Pustaka Komunikasi

Licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.