Pengaruh Kampanye Digital Pemerintah terhadap Kesadaran Masyarakat Mengenai Kebijakan Luar Negeri Indonesia

Authors

  • Mohammad Firdan Walang Universitas 17 Agustus 1945 Jakarta
  • Haenry Adam Universitas 17 Agustus 1945 Jakarta
  • Nia Raihana S Universitas 17 Agustus 1945 Jakarta
  • Naufal Abdillah P Universitas 17 Agustus 1945 Jakarta
  • Alvian Ariadi Universitas 17 Agustus 1945 Jakarta

DOI:

https://doi.org/10.31004/joecy.v6i1.8205

Keywords:

government digital campaigns, public awareness, Indonesian foreign policy, digital diplomacy, Palestine

Abstract

The use of digital campaigns by the government has become an increasingly important tool in explaining foreign policy to the public, especially on complex and sensitive issues such as Indonesia's humanitarian diplomacy towards Palestine. However, the extent to which these digital campaigns influence public awareness has rarely been tested quantitatively. This study aims to analyze the influence of Government Digital Campaigns (KDP) on Public Awareness of Indonesian Foreign Policy (KMKLN) with a focus on the issue of Indonesian aid to Palestine. The study uses a quantitative approach through an online survey of 30 respondents who are active social media users. Data were collected using a Likert scale questionnaire that had been tested for validity and reliability, then analyzed using simple linear regression. The results show that the government's digital campaign has a positive and significant effect on public awareness (β = 0.541; t = 5.577; p < 0.001). The coefficient of determination (R² = 0.526) indicates that 52.6% of the variation in public awareness can be explained by the government's digital campaign. These findings support the agenda-setting theory and media exposure theory, which state that the intensity and quality of digital message exposure can increase public knowledge and understanding. This study concludes that government digital campaigns are a strategic instrument in increasing public awareness of foreign policy, although it is necessary to strengthen the quality of content and expand the audience reach in order to optimize its impact.

References

Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2012). Promoting transparency and accountability through social media: A case study of the 2012 U.S. Federal Government. Government Information Quarterly, 29(1), 1–8. https://doi.org/10.1016/j.giq.2011.10.003

Boczkowski, P. J., Lotan, G., & Matassi, M. (2018). News sharing on social media: Findings from a cross-cultural study. Journalism Studies, 19(7), 888–905.

Bryman, A. (2012). Social research methods (4th ed.). Oxford University Press.

Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Rand McNally.

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates.

Criekemans, D. (2010). Regional public diplomacy: Paving a way forward. In D. Criekemans (Ed.), Regional public diplomacy (pp. 1–25). Ashgate Publishing.

Criado, J. I., Sandoval-Almázán, R., & Gil-García, J. R. (2013). Government innovation through social media. Government Information Quarterly, 30(4), 319–326. https://doi.org/10.1016/j.giq.2013.05.003

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555

Fisher, R. A. (1920). A mathematical examination of methods of determining high water mark in past eras. Proceedings of the Royal Society A, 96(677), 57–75. https://doi.org/10.1098/rspa.1920.0006

Fraenkel, J. R., & Wallen, N. E. (2009). How to design and evaluate research in education (7th ed.). McGraw-Hill.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

IBM SPSS Statistics. (2020). IBM SPSS Statistics 25 user's guide. IBM Corporation.

Katz, E., Lazarsfeld, P. F., & Roper, E. (2006). Personal influence: The part played by people in the flow of mass communications. Transaction Publishers.

Katz, J. E., & Rice, R. E. (2002). Social consequences of Internet use: Access, involvement, and interaction. MIT Press.

Kementerian Luar Negeri RI. (2023). Strategi komunikasi digital Kementerian Luar Negeri 2023–2025. Kementerian Luar Negeri RI.

Kerlinger, F. N., & Lee, H. B. (2000). Foundations of behavioral research (4th ed.). Harcourt College Publishers.

Lee, N. J., & Shin, H. J. (2012). Liking as a meaningful behavior on Facebook. Cyberpsychology, Behavior, and Social Networking, 15(4), 226–231.

Lotan, G. (2020). Big data, civil society and the news. Berkman Klein Center for Internet Society at Harvard University.

McCombs, M. E., & Shaw, D. L. (2014). The agenda-setting function of mass media. In J. Bryant & M. B. Oliver (Eds.), Media effects: Advances in theory and research (3rd ed., pp. 17–51). Routledge.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS (7th ed.). Routledge.

Pedhazur, E. J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd ed.). Harcourt Brace.

Perse, E. M., & Lambe, J. (2017). Media effects and society. Routledge.

Prabowo, D., & Rahmawati, S. (2022). Efektivitas media sosial dalam meningkatkan kesadaran kebijakan luar negeri: Studi kasus kampanye digital KBRI. Dalam Proceeding Seminar Nasional Komunikasi Strategis Pemerintah (pp. 71–85).

Rosenberg, M. (1968). The logic of survey analysis. Basic Books.

Sari, M., & Hidayat, R. (2022). Pengukuran efektivitas kampanye komunikasi pemerintah menggunakan regresi linier sederhana. Jurnal Metodologi Penelitian Sosial, 9(1), 12–28.

Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality. Biometrika, 52(3), 591–611. https://doi.org/10.1093/biomet/52.3-4.591

Student. (1908). The probable error of a mean. Biometrika, 6(1), 1–25. https://doi.org/10.1093/biomet/6.1.1

Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D (Edisi 2). Alfabeta.

Sunstein, C. R. (2018). Infotopia: How many minds produce knowledge. Oxford University Press.

Tandoc, E. C., Lim, Z. W., & Ling, R. (2018). Defining misinformation in the age of social media. Journal of Computer-Mediated Communication, 25(1), 131–147. https://doi.org/10.1093/jcmc/zmx001

Tenove, C. (2020). Protecting digital democracy. Journal of Democracy, 31(1), 64–76. https://doi.org/10.1353/jod.2020.0005

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.

Yusof Ishak Institute. (2022). Indonesia Strategic Partnership Survey (INSP) 2022: Perception of regional maritime issues. Yusof Ishak Institute.

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Published

07-02-2026

How to Cite

Walang, M. F., Adam, H. ., Raihana S , N. ., Abdillah P , N. ., & Ariadi , A. . (2026). Pengaruh Kampanye Digital Pemerintah terhadap Kesadaran Masyarakat Mengenai Kebijakan Luar Negeri Indonesia. Journal of Innovative and Creativity (Joecy), 6(1), 9667–9675. https://doi.org/10.31004/joecy.v6i1.8205

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