ARTIFICIAL INTELIGENCE DALAM PUBLIC RELATION : PELUANG DAN TANTANGAN DI INDONESIA
DOI:
https://doi.org/10.38012/jb.v7i1.1541Keywords:
Artificial Intelligence, Public Relations, chatbots, digital divide.Abstract
This research examines the application of Artificial Intelligence (AI) technology in Public Relations (PR) practice in Indonesia, focusing on the opportunities and challenges faced. The rapid development of AI opens up new opportunities as well as poses challenges for PR practitioners in the digital era. Through a systematic literature review method, this research analyzed 78 relevant articles from various academic and industry sources. The results identified five main opportunities for AI application in PR in Indonesia: data analysis and insights, content and communication personalization, chatbots and customer service, crisis prediction and management, and PR performance measurement and evaluation. Case studies show an increase in PR campaign effectiveness of up to 40% and an increase in engagement of up to 35% through the use of AI. However, the research also revealed five significant challenges: digital and infrastructure gaps, data security and privacy, ethics and transparency, human resource readiness, and cultural adaptation and change resistance. The survey showed that only 35% of PR practitioners in Indonesia feel ready to adopt AI technology. In conclusion, the application of AI in PR in Indonesia offers great opportunities to improve effectiveness and efficiency, but requires a cautious and strategic approach in the face of existing challenges. Collaboration between practitioners, technology developers, policy makers, and academics is needed to develop an effective and ethical framework for the integration of AI in PR practice in Indonesia.
References
Adams, R. J., Smart, P., & Huff, A. S. (2017). Shades of grey: Guidelines for working with the grey literature in systematic reviews for management and organizational studies. International Journal of Management Reviews, 19(4), 432-454.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Breakenridge, D. K. (2021). Answers for modern communicators: A guide to effective business communication. Routledge.
Critical Appraisal Skills Programme (CASP). (2018). CASP Qualitative Checklist. https://casp-uk.net/wp-content/uploads/2018/01/CASP-Qualitative-Checklist-2018.pdf
Cutlip, S. M., Center, A. H., & Broom, G. M. (2020). Effective public relations. Pearson.
Dewi, R. K., & Garzia, M. (2022). Data privacy regulations in Southeast Asia: A comparative analysis. Asian Journal of Law and Society, 9(1), 120-142.
Galloway, C., & Swiatek, L. (2018). Public relations and artificial intelligence: It's not (just) about robots. Public Relations Review, 44(5), 734-740.
Hidayat, M., Suharyono, S., & Wilopo, W. (2023). AI-enabled crisis detection and management in Indonesian corporations: A comparative study. Public Relations Review, 49(2), 101989.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Keele University & Durham University Joint Report.
Lestari, D., Putra, I. G. N. A. C., & Dewi, I. G. A. A. O. (2021). The effectiveness of AI-powered sentiment analysis in PR campaigns: A case study in Indonesia. Asian Journal of Communication, 31(3), 185-201.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications.
Macnamara, J. (2020). New developments in best practice evaluation. In The Global Public Relations Handbook (pp. 647-670). Routledge.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097.
Nugroho, Y., & Prasetyo, A. (2022). Digital transformation in Indonesia: Opportunities and challenges. Journal of Southeast Asian Economies, 39(1), 1-15.
Nurhakim, I., Yulianto, E., & Saputra, M. (2021). Digital divide and its impact on e-government services in Indonesia. Electronic Government, an International Journal, 17(1), 1-18.
Panda, G., Upadhyay, A. K., & Khandelwal, K. (2019). Artificial intelligence for customer relationship management: A systematic literature review. Business Process Management Journal, 25(7), 1656-1689.
Prasetyo, B., & Anggoro, S. (2022). AI-driven PR performance measurement: Insights from Indonesia's top companies. Journal of Public Relations Research, 34(1), 42-61.
Purwanto, E., & Kusumawardani, K. A. (2020). The impact of AI-powered chatbots on customer service in Indonesia. International Journal of Information Management, 54, 102178.
Russell, S. J., & Norvig, P. (2020). Artificial intelligence: a modern approach. Pearson.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339.
Statista. (2023). Internet usage in Indonesia - statistics & facts.
Suherman, A., & Putri, F. (2022). AI-driven personalization in e-commerce: A study of email marketing effectiveness in Indonesia. Journal of Marketing Communications, 28(4), 367-385.
Sukmana, H. T., Purnama, J., & Wardhani, L. K. (2022). The readiness of PR professionals in adopting AI technologies: A study in Indonesia. Corporate Communications: An International Journal, 27(3), 495-511.
Tench, R., & Yeomans, L. (2021). Exploring public relations and management communication. Pearson.
Valin, J. (2018). Humans still needed: An analysis of skills and tools in public relations. Chartered Institute of Public Relations.
Widodo, S., & Setiawan, B. (2021). Cultural challenges in digital transformation: A case study of Indonesian organizations. International Journal of Organizational Analysis, 29(5), 1145-1161.
Wirtz, J. G., & Zimbres, T. M. (2018). A systematic analysis of research applying 'principles of dialogic communication' to organizational websites, blogs, and social media: Implications for theory and practice. Journal of Public Relations Research, 30(1-2), 5-34.
Hafied, H., Irwanto, I., Surjatmodjo, D., & Latuheru, R. (2025). AI-Driven Media Evolution: Exploring Automated Journalism’s Impact on Industry’s Future. Jurnal Kajian Jurnalisme, 8(2), 205–218. https://doi.org/10.24198/jkj.v8i2.53801
Irwanto, I., Latuheru, R. D., Hafied, H., Surjadmodjo, D., & Munzier, D. Z. (2024). The Evolution of Mass Media: The Significance and Influence of Automated Journalism in the Era of Artificial Intelligence. Dalam A. R. Cangara, A. Ismail, & M. C. Ansar (Ed.), Proceedings of the World Conference on Governance and Social Sciences (WCGSS 2023) (Vol. 843, hlm. 577–585). Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-236-1_61
Latuheru, R. D., & Cangara, H. (2024). THE ROLE OF SOCIAL MEDIA ALGORITHMS IN SHAPING AND CONFLICT RESOLUTION. Journal of Digital Media Communication, 3(1), 19–27. https://doi.org/10.35760/dimedcom.2024.v3i1.11681
Latuheru, R. D., & Muskita, M. (2022). TEACHER AND STUDENT COMMUNICATION STRATEGY IN THE ONLINE LEARNING PROCESS AT SMA NEGERI 10 AMBON. Journal of Digital Media Communication, 1(2), 79–87. https://doi.org/10.35760/dimedcom.2022.v1i2.7424
Sonni, A. F., Hafied, H., Irwanto, I., & Latuheru, R. (2024). Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges. Journalism and Media, 5(4), 1554–1570. https://doi.org/10.3390/journalmedia5040097
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