Analisis Sentimen dan Jaringan Komunikasi Respon Ketua BPOM Peny Lukito Kasus Gagal Ginjal Akut Pada Anak dalam akun Youtube Kompas.com
DOI:
https://doi.org/10.31315/paradigma.v27i1.8980Keywords:
SNA, gagal ginjal akut, bpom, peny lukitoAbstract
A crisis can endanger the reputation and performance of an institution or agency, especially government property. One of the causes of a crisis is the emergence of unexpected events with wide-reaching impacts that occur quickly. This also elicited various responses from various circles. Facing the development of information technology, especially social media, crisis situations can also be influenced by various responses from netizens that appear on social media. Indonesia is experiencing a crisis situation related to the phenomenon of health problems in the form of acute kidney failure that occurs in children which is allegedly caused by the dangers of cough syrup-type drugs by the dangerous chemicals ethylene glycol and deethylene glycol. Responding to this phenomenon, Chairperson of the Food and Drug Supervisory Agency (BPOM) Mrs. Peny Lukito held regular press conferences with the main agenda related to the current situation in handling this case. This study aims to look at the formation of a communication network and sentiment analysis from netizens towards the response of the BPOM leadership using a social media network analysis approach on the Youtube channel with the Kompas.com account broadcast live online. The findings in this study are that Peny Lukito as the head of BPOM received negative responses from netizens because they considered him negligent and transferred responsibility to other parties.
References
Akhyar, D. M., & Pratiwi, A. S. (2019). Media Sosial dan Komunikasi Krisis: Pelajaran dari Industri Telekomunikasi di Indonesia. 11(1), 19
Chansanam, W., Tuamsuk, K., Kwiecien, K., & Oh, S. (2021). Korean popular culture analytics in social media streaming: Evidence from YouTube channels in Thailand. International Journal of Advances in Intelligent Informatics, 7(3), 329. https://doi.org/10.26555/ijain.v7i3.769
Gruzd, A. ―Netlytic.‖ Netlytic: Software for Automated Text and Social Network Analysis. Available at Http://Netlytic.Org, 2016
Gruzd, Anatoliy, Drew Paulin, and Caroline Haythornthwaite. ―Analyzing Social Media And Learning Through Content And Social Network Analysis: A Faceted Methodological Approach.‖ Journal of Learning Analytics 3, no. 3 (2016): 46–71. doi:10.18608/jla.2016.33.4.
Khomsah, Siti, and Agus Sasmito Aribowo. ―Model Text-Preprocessing Komentar Youtube Dalam Bahasa Indonesia.‖ JURNAL RESTI (Rekayasa Sistem Dan Teknologi Informasi) 1, no. 10 (2021): 648–54.
Ko, H. K. (2020). An analysis of YouTube comments on BTS using text mining. 1, 10.
Lee, M., & Yoon, H. J. (2020). When Brand Activism Advertising Campaign Goes Viral: An Analysis of Always #LikeAGirl Video Networks on YouTube. International Journal of Advanced Culture Technology, 8(2), 146–158. https://doi.org/10.17703/IJACT.2020.8.2.146
Murthy, D., & Sharma, S. (2019). Visualizing YouTube’s comment space: Online hostility as a networked phenomena. New Media & Society, 21(1), 191–213. https://doi.org/10.1177/1461444818792393
Netlytic. (2020). SNA measures plot. Retrieved May 27, 2020, from https://netlytic.org/network/sna/snachart.php?datatype=email1&datatype= email1&net_centralization=0.05241&net_density=0.0001077&net_recipro city=0&net_modularity=0.7633&net_islands=1702&net_diameter=4&net _nodes=2231&net_edges=536
Schneiderman, B. (2020). Analyzing social media networks with NodeXL: Insights from a connected world (Second edition). Morgan Kaufmann. Shneiderman, B. (2020). Social network analysis: Measuring, mapping, and modeling collections of connections. Analyzing Social Media Networks with NodeXL, 31–51. https://doi.org/10.1016/B978-0-12-817756- 3.00003-0
wearesocial, Hootsuite. (2022). Digital 2022 Indonesia. https://datareportal.com/reports/digital-2022-indonesia
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