Big Data Analysis Of Banten Community Information Consumption After The Decline of The Covid 19 Case

Authors

  • Darwis Sagita Universitas Sultan Ageng Tirtayasa
  • Burhanudin Mujtaba Universitas Sultan Ageng Tirtayasa
  • Rahmi Winangsih Universitas Sultan Ageng Tirtayasa

DOI:

https://doi.org/10.30656/lontar.v11i2.2090

Keywords:

Big Data, Information consumption

Abstract

This research explains the information consumption of Banten people after the decline of the covid 19 case. What information themes are communicated by the community about Banten on social media. This research was conducted with a qualitative approach by discussing the results of data mining searches (data retrieval on social media through applications), while the application used is NodeXL. The following are the results of this study; among the five aspects of information that researchers examined the data (health, education, economy, tourism, and politics), health information was the least communicated (both one-way and two-way) by the community. Meanwhile, politics and tourism are the most communicated aspects of social media.  It can be said that the communication behavior of the community about Banten Province on YouTube social media is generally not dominated by two-way or more communication models. Feedback only occurs on certain information themes. The theme of political information and tourism is the most two-way or more. Meanwhile, health information is the least discussed and does not generate much feedback. It can be concluded that health information is no longer a public concern after the decline in covid 19 cases.

References

Alex Sobur. 2014. Ensiklopedia Komunikasi. Jakarta: Simbiosa Rekatama

Alyusi, S. D. (2016). Media Sosial: Interaksi, Identifikasi, dan Modal Sosial. Jakarta: Kencana

Andres Kaplan & Michael Haenlein, 2010. User Of The World, Unite! The Challenges and Opportunities Of Social Media, Business Horizons.

Blumer, Herbert. 1974. Symbolic Interactionism Perspective and Method.New Jersey: Prentice- Hall

Catur, O. :, Nurhadi, S., & Candrasari, Y. (2019). Buku Metode Analisis Media Sosial Berbasis Big Data.

Cover, TM; Thomas, JA (2006). "Bab 12, Entropi Maksimum". Elemen Teori Informasi (Edisi ke-2). Wiley. ISBN 0471241954.

Deddy Mulyana, Ilmu Komunikasi Suatu Pengantar, Cet. XIV (Bandung: PT. Remaja Rosdakarya, 2010)

Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data†on cloud computing: Review and open research issues. Information Systems, 47, 98-115

Hauben, M. (2006). Chapter 7 Behind the Net: The Untold History of the ARPANET and Computer Science.

Kathleen S Verderber, R. W. (2005). Communicate Thirteenth Edition. Wardsworth Cengange Learning

Katz, Elihu, Jay G. Blumler dan Michael Gurevitch. 1973. Uses and Gratifications Research. The Public Opinion Quarterly. 37 (4): 509 -523

Kelly, J., Kelly Garrett, R., Bimber, B., & Gil Zúñiga, H. DE. (2012). New ICTs and the Study of Political Communication. In International Journal of Communication (Vol. 6). http://ijoc.org.

McQuail, D. (2013). Reflections on paradigm change in communication theory and research. International Journal of Communication, 7(1), 216–229.

Morissan, Teori Komunikasi Massa, (Penerbit Ghalia Indonesia, 2013)

Nasrullah, Rulli. 2015. Media Sosial; Prespektif Komunikasi, Budaya, dan Sosioteknologi. Bandung: Simbiosa Rekatama Media

Puspitasari, F., & Sari, D. E. (2022). Penggunaan Media Sosial Dalam Kegiatan Pendidikan Pemustaka (User Education) Perpustakaan Iain Ponorogo Di Era New Normal. Shaut Al-Maktabah : Jurnal Perpustakaan, Arsip Dan Dokumentasi, 14(2), 169–185. https://doi.org/10.37108/shaut.v14i2.655

Thomas, J., Kulkarni, P., Kumar, Ds., Prakash, B., & Narayana Murthy, M. (2020). COVID-19 infodemic: Unveiling the root causes through public perspectives. International Journal of Health & Allied Sciences, 9 (5), 31. https://doi.org/10.4103/ijhas.ijhas_94_20

Wiryanto, 2003. Pengantar Ilmu Komunikasi, Jakarta: Gramedia Widiasarana Indonesia.

Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction?. International Journal of Hospitality Management, 44, 120-130.

http://covid19.bnpb.go.id/

https://github.com/CSSEGISandData/COVID-19

https://www.covid19.go.id/

kompas.com

Downloads

Published

2023-12-30

Issue

Vol. 11 No. 2 (2023): Lontar : Jurnal Ilmu Komunikasi

Section

Articles

License

Creative Commons License

 

1. License

The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-ShareAlike 4.0 International License.

2. Author(s)' Warranties

The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).

3. User Rights

Lontar's spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, Lontar permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and Lontar on distributing works in the journal and other media of publications

4. Right of Author

The author does not hold the copyright of articles published by this Journal (Jurnal Lontar)

5. Co-Authorship

If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. Lontar will not be held liable for anything that may arise due to the author(s) internal dispute. Lontar will only communicate with the corresponding author.

6. Royalties

Being an open accessed journal and disseminating articles for free under the Creative Commons license term mentioned, author(s) aware that Lontar entitles the author(s) to no royalties or other fees. 

7. Miscellaneous

Lontar will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. Lontar's editors may modify the article to a style of punctuation, spelling, capitalization, referencing and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.