Analisis Jejaring Sosial Peran Pers dalam Penyebaran Informasi Terkait Kebijakan PPKM

Putri Nur Aisyah, Gema Nusantara Bakry, Nuryah Asri Sjafirah

Abstract


Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) saat pandemi dilakukan untuk mengendalikan penyebaran COVID-19. Efektivitas aturan pemerintah ini perlu diimbangi dengan pemberitaan pers yang masif untuk memberikan edukasi dan mitigasi kepada masyarakat terkait pembatasan aturan tersebut. Penelitian ini bertujuan untuk mengetahui bagaimana peran pers dalam mendistribusikan informasi kebijakan PPKM di Twitter. Metode penelitian yang digunakan dalam penelitian ini adalah Social Network Analysis (SNA) dengan plug in Twitter Streaming Developer untuk melakukan penambangan teks terkait dengan aturan PPKM. Hasil penelitian memperlihatkan bahwa peran pers dalam jaringan sosial PPKM di Twitter adalah sebagai penyebar informasi. Hal ini ditunjukkan dari hasil nilai sentralitas yang didapatkan yaitu degree centrality, closeness centrality, betweenness centrality dan eigenvector centrality. Aktor pers yang memiliki nilai popularitas paling tinggi pada jaringan sosial PPKM ini adalah @detikom diikuti oleh @cnnindonesia, @asumsico, @nuicemedia, dan @kumparan. Pola relasi yang terbentuk adalah pola komunikasi roda asimetris yang sangat efektif untuk penyebaran informasi. Penelitian ini menemukan bahwa pers dalam penyebaran informasinya disarankan untuk lebih peduli dalam mencari sudut pandang dan judul yang akan diberikan di media sosial karena jumlah followers tidak mempengaruhi penyebaran informasi di Twitter.

 

The implementation of Community Activity Restrictions (PPKM) during a pandemic was implemented to control the spread of COVID-19. The effectiveness of this government regulation needs to be balanced with massive press coverage to provide education and mitigation to the public regarding the restrictions on the rule. This study aims to find out how the role of the press in distributing policy information on PPKM on Twitter. The research method used in this research was Social Network Analysis (SNA) with the Twitter Streaming Developer plug-in to perform text mining related to PPKM rules. The results showed that the role of the press in the PPKM social network on Twitter was as a disseminator of information. This was shown from the centrality values obtained, namely degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality. The press actor with the highest popularity value on the PPKM social network was @ detikom followed by @cnnindonesia, @asumsico, @nuicemedia, and @kumparan. The relationship pattern was an asymmetric wheel that was very effective for information dissemination. This study found that the press, in disseminating information, is advised to be more concerned about finding the point of view and titles given on social media because the number of followers does not affect the dissemination of information on Twitter.


Keywords


Actor Centrality; Communication Patterns; Jaringan Sosial; Pola Komunikasi; PPKM; Sentralitas Aktor; Social Networks; Twitter

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DOI: https://doi.org/10.24815/jkg.v11i1.24555

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