Analisa Sentimen Informasi Hoaks Pasca Pandemi Covid-19 dengan Text Mining

Akhmad Rezki Purnajaya; Yonky Pernando

doi:10.47065/josyc.v4i3.3358

Akhmad Rezki Purnajaya Universitas Universal, Kota Batam, Indonesia
Yonky Pernando * Universitas Universal, Kota Batam, Indonesia

(*) Corresponding Author

DOI: https://doi.org/10.47065/josyc.v4i3.3358

Keywords: Covid-19; Text Mining; Hoax; Post Pandemic; Sentiment Analysis

Abstract

In this era of globalization, the delivery of information can be conveyed by any information media, this can also cause the spread of hoax information. This is very detrimental for recipients of information, especially information that is very important to receive and information related to the Covid or Corona virus that has hit the world and Indonesia. Based on data from the Gugus Tugas Percepatan Penanganan Covid-19, in the post-pandemic era 227 hoax information were still found that were identified. Therefore, in this study the authors conducted hoax information research, especially regarding the Covid-19 virus in the post-pandemic era by using the Text Mining method to find out information patterns that often appear in the post-Covid-19 pandemic. This paper will also show some results regarding the association of several words with the main word in hoax information in the post-Covid-19 pandemic era in the form of Term of Frequency, Word Cloud, Fruchterman Reingold Layout, and Circle Layout. The results of this study indicate that in the post-Covid-19 pandemic era, hoax information is frequently associated with ‘vaccines’ and ‘covid’, with 113 and 111 occurrences respectively. This is due to public skepticism regarding the safety and effectiveness of the Covid-19 vaccine, leading to the dissemination of hoaxes aimed at discouraging vaccination. Other commonly mentioned words in post-pandemic hoax information include ‘omicron’, ‘vaccinated’, ‘variant’, ‘pfizer’, ‘mRNA’, ‘virus’, and ‘vaccination’, albeit with lower frequencies

Downloads

Download data is not yet available.

References

L. F. Moriarty, “Public Health Responses to COVID-19 Outbreaks on Cruise Ships Worldwide February March 2020”, US Department of Health and Human Services/Centers for Disease Control and Prevention MMWR, 69(12), pp. 347-352, 2020.

H. Shi, “Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study”, The Lancet Infectious Diseases. Elsevier Ltd, 20(4), pp. 425–434, 2020, doi: 10.1016/S1473-3099(20)30086-4.

C. K. L. Pastor, “Sentiment Analysis on Synchronous Online Delivery of Instruction due to Extreme Community Quarantine in the Philippines caused by COVID-19 Pandemic”, Asian Journal of Multidisciplinary Studies, 3(1), 2020.

G. T. COVID-19, “Gugus Tugas Percepatan Penanganan COVID-19”, 2023, [Online]. Retrieved April 01, 2023, from Gugus Tugas Percepatan Penanganan COVID-19: https://Covid19.go.id/.

N. R. Yunus and A. Rezki, “Kebijakan Pemberlakuan Lock Down Sebagai Antisipasi Penyebaran Corona Virus Covid-19”, Salam: Jurnal Sosial & Budaya Syar-i, 7(3), pp. 227-238, 2020.

N. H. Zahro, G. A. Setiawan, and A. Amroellah, “POLA HIDUP SEHAT PASCA PANDEMI COVID-19”, MIMBAR INTEGRITAS:Jurnal Pengabdian, 1(2), pp. 299-306, 2022.

R. Abudi, Y. Mokodompis, and A. N. Magulili, “Stigma Terhadap Orang Positif COVID-19”, Jambura Journal of Health Sciences and Research, 2(2), pp. 77-84, 2020.

C. Juditha, “Perilaku Masyarakat Terkait Penyebaran Hoaks Covid-19”, Jurnal Pekommas, 5(2), 2020.

C. Juditha, “Interaksi Komunikasi Hoax di Media Sosial serta Antisipasinya”, Jurnal Pekommas, 3(1), 2018.

M. F. Soleh, “Penimbunan Alat Pelindung Diri pada Masa Pandemi Covid-19: Kajian Hukum Pidana Bidang Perlindungan Konsumen”, Undang: Jurnal Hukum, 3(1), 2020, doi: 10.22437/ujh.3.1.1-31.

K. H. Simatupan, B. N. E. Motoh, and T. P. Kelung, “Analisis Nasib Globalisasi Pasca Pandemi Covid-19”, UPH Journal of International Relations, pp. 30-37, 2022.

Y. Pernando, E. L. Febrianti, I. Syafrinal, Y. Roza, and U. F. Afifah, “Deep Learning for Faces on Orphanage Children Face Detection”, Jurteksi, vol. 9, no. 1, pp. 25-32, 2022.

A. R. Purnajaya, V. Lieputra, V. Tayanto, and J. G. Salim, “Implementasi Text Mining untuk Mengetahui Opini Masyarakat Tentang Climate Change”, Journal of Information System and Technology, vol. 3, no. 3, pp. 36-44, 2022.

A. R. Purnajaya, Very, O. Noverio, and C. Alvaro, “Analisis Ancaman COVID-19 Varian XBB di Indonesia pada Jejaring Media Sosial Twitter menggunakan Text Mining”, JITTER, vol. 4, no, 1, pp. 1567-1575, 2023.

A. G. Tammam, “Deteksi Hoaks pada Media Sosial Berbasis Text Mining Classification System”, Sistem Informatika - Universitas Nusantara PGRI Kediri, 2018.

O. Sihombing, S. T. Y. Sitorus, E. Indra, and S. H. Sinurat, “Comparative Analysis of Indonesian Text Mining News Online Classification Using the K-Nearest Neighbor and Random Forest Algorithm”, JUSIKOM Prima, vol. 6, no. 1, 2022.

A. Ishak, Y. Y. Chen, and S. Yong, “Distance-based Hoax Detection System”, 2012 International Conference on Computer & Information Science (ICCIS), Kuala Lumpur, Malaysia, pp. 215-220, 2012, doi: 10.1109/ICCISci.2012.6297242.

D. R. Rahadi, “Perilaku Pengguna dan Informasi Hoax di Media Sosial”, Jurnal Manajemen & Kewirausahaan, 5(1), pp. 58-70, 2017.

A. Rahmadhany, A. A. Safitri, and D. Irwansyah, “Fenomena Penyebaran Hoax dan Hate Speech pada Media Sosial”, Jurnal Teknologi dan Informasi Bisnis, 3(1), pp. 30-43, 2021, doi: 10.47233/jteksis.v3i1.182.

I. Adiyana and F. Hakim, “Implementasi Text Mining Pada Mesin Pencarian Twitter Untuk Menganalisis Topik-Topik Terkait Kpk Dan Jokowi”, Prosiding Seminar Nasional Matematika dan Pendidikan Matematika UMS 2015, pp. 570-581, 2015.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Analisa Sentimen Informasi Hoaks Pasca Pandemi Covid-19 dengan Text Mining