The Use of Twitter by Government: Engaging the Secure Based Feeling on Economic Investment
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Keywords:
Twitter, Government, Engaging, Secure Based Feeling, Economic Investment
Abstract
Indonesia witnessed a very rapid growth of 12.58 per cent in the tourism sector in 2018, compared with an average world growth of only 5.6 per cent, as well as an ASEAN growth of 7 per cent. To make tourism become one of the most important sectors for Indonesia in terms of increasing government revenue and improving the efficiency and competitiveness of citizens on international markets. Of course, a lot needs to be prepared to achieve this goal. One of them is a safe community-based feeling. Because Indonesia is currently developing and requires significant domestic investment, security in Indonesia is a focus that needs to be improved. And in order to be able to understand a sense of community security, the government must have a relationship between the government and the community. This study aims to know e-government service quality implementation by the Ministry of Agrarian Affairs and Spatial Planning via twitter. The method used in this study is a content analysis of Twitter posts from the Ministry of Agrarian Affairs and Spatial Planning of the Republic of Indonesia for a period of 1 year, from 1 January 2019 to 31 December 2019. Based on the findings and discussion, it is concluded that secure based feeling towards investment can be achieved through social media, one of which is Twitter by providing a more understanding related to land rights or land that will be used in investment.
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Anggit, I. (2018). PDB Melambat, Ini Sederet Masalah RI Versi Menteri Darmin.
Bonsón, E., Perea, D., & Bednárová, M. (2019). Twitter as a tool for citizen engagement: An empirical study of the Andalusian municipalities. Government Information Quarterly. https://doi.org/10.1016/j.giq.2019.03.001
Chatfield, A. T., Reddick, C. G., & Brajawidagda, U. (2015). Government surveillance disclosures, bilateral trust and Indonesia-Australia cross-border security cooperation: Social network analysis of Twitter data. Government Information Quarterly. https://doi.org/10.1016/j.giq.2015.01.002
Cornwall, A. (2008). Unpacking “Participation” Models, meanings and practices. Community Development Journal. https://doi.org/10.1093/cdj/bsn010
Creswell, J. W., & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
Dhanesh, G. S. (2017). Putting engagement in its PRoper place: State of the field, definition and model of engagement in public relations. Public Relations Review. https://doi.org/10.1016/j.pubrev.2017.04.001
Dougherty, D. (2005). The Content Analysis Guidebook. Organizational Research Methods.
Germansky, J. F. (2018). 12 Safest Countries in Asia for 2018 (updated 2020).
Gintova, M. (2019). Understanding government social media users: an analysis of interactions on Immigration, Refugees and Citizenship Canada Twitter and Facebook. Government Information Quarterly. https://doi.org/10.1016/j.giq.2019.06.005
Gruzd, A., Lannigan, J., & Quigley, K. (2018). Examining government cross-platform engagement in social media: Instagram vs Twitter and the big lift project. Government Information Quarterly. https://doi.org/10.1016/j.giq.2018.09.005
Guillamón, M. D., Ríos, A. M., Gesuele, B., & Metallo, C. (2016). Factors influencing social media use in local governments: The case of Italy and Spain. Government Information Quarterly. https://doi.org/10.1016/j.giq.2016.06.005
Henman, P. (2013). Governmentalities of gov 2.0. Information Communication and Society. https://doi.org/10.1080/1369118X.2012.706314
Holsti, O. R. (1969). Content analysis for the social sciences and humanities. Addison-Wesley.
Kane, G. C., Fichman, R. G., Gallaugher, J., & Glaser, J. (2009). Community relations 2.0. Harvard Business Review.
Kementerian Agraria Dan Tata Ruang / Badan Pertanahan Nasional. (2019). Sekilas BPN.
Kristiyanti, D. A., Aulianita, R., Putri, D. A., Utami, L. A., Agustini, F., & Alfianti, Z. I. (2022). Sentiment Classification Twitter of LRT, MRT, and Transjakarta Transportation using Support Vector Machine. 2022 International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 143–148.
Neuendorf, K. A., Shalski, P. D., & Cajigas, J. A. (2017). Content Analysis in the Interactive Media Age. In The content analysis guidebok. https://doi.org/10.1007/s11589-998-0087-6
Oetama, R. S. (2019). Sentiment analysis on official news accounts of twitter media in predicting Facebook stock. 2019 5th International Conference on New Media Studies (CONMEDIA), 74–79.
Panagiotopoulos, P., Bigdeli, A. Z., & Sams, S. (2014). Citizen-government collaboration on social media: The case of Twitter in the 2011 riots in England. Government Information Quarterly. https://doi.org/10.1016/j.giq.2013.10.014
Rahma, F. N., & Handayani, H. R. (2013). Pengaruh Jumlah Kunjungan Wisatawan, Jumlah Obyek Wisata Dan Pendapatan Perkapita Terhadap Penerimaan Sektor Pariwisata Di Kabupaten Kudus. Diponegoro Journal of Economics, 109–117.
Statista. (2015). Number of Twitter users in Indonesia from 2014 to 2019.
Sundberg, L. (2019). Electronic government: Towards e-democracy or democracy at risk? Safety Science, 118, 22–32.
Yudha, P. (2019). Pariwisata Bali sumbang devisa Rp100 triliun pada 2018.
Published
2023-05-25
How to Cite
Alam, W. Y., Istikhoroh, S., & Putranto, T. D. (2023). The Use of Twitter by Government: Engaging the Secure Based Feeling on Economic Investment. Jurnal Komunikasi Profesional, 7(2), 327 - 338. https://doi.org/10.25139/jkp.v7i2.5969
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