Adopting AI in Medan PR: a study of government reputation management

Authors

  • Arief Marizki Purba Universitas Sumatera Utara
  • Amelita Lusia Universitas Indonesia

DOI:

https://doi.org/10.25139/jsk.v10i1.11350

Keywords:

Artificial Intelligence, Government Public Relations, Reputation Management, Digital Governance

Abstract

This study examined how the Medan City Government adopts artificial intelligence in government public relations to strengthen reputation management through the lens of algorithmic governance and digital agility, while advancing an inclusivity-oriented civic branding narrative known as 'Medan Untuk Semua'. Using a qualitative case study design, data were collected through in-depth interviews, observation, and documentation. Informants were selected purposively from key internal actors responsible for policy direction, communication governance, and technical implementation, with limited snowballing applied to identify specialised technical personnel. Data analysis followed the Miles, Huberman, and Saldaña framework and was supported by NVivo-based coding and visualisation to map thematic relationships. The findings show that AI-driven Customer Relationship Management (CRM) systems, incorporating automated ticketing, predictive analytics for complaint classification, and integrated dashboards, together with the 'Medan Satu Data' ecosystem, operate as an institutional reputation architecture by enabling data-driven responsiveness, digital traceability, and cross-unit message consistency. AI also reshapes internal communication by orchestrating coordination among public relations units, social media administrators, and IT teams. However, the study identifies persistent tensions between speed and accuracy, uneven technological literacy across bureaucratic units, and the need for narrative sensitivity that algorithmic systems cannot fully automate. Overall, AI adoption in Medan illustrates a hybrid governance model in which technological infrastructure enhances service delivery and communication legitimacy, while human judgement remains essential for contextual interpretation, empathetic messaging, and reputational risk management. The study underscores the strategic value of integrating AI into local government communication systems to support inclusive and accountable public service delivery.

References

Abed, S. S. (2024). Understanding the Determinants of Using Government AI-Chatbots by Citizens in Saudi Arabia. International Journal of Electronic Government Research, 20(1). https://doi.org/10.4018/IJEGR.349733

Ahmed, R. Q. (2025). The Extent to Which Public Relations Departments in Government Institutions Use Artificial Intelligence Applications in Their Communication Activities: A Field Study. In Lecture Notes in Networks and Systems (Vol. 1697, pp. 301–314). https://doi.org/10.1007/978-3-032-09562-6_22

Almulhim, A. I. (2025). Integrating Artificial Intelligence into Smart Infrastructure Management for Sustainable Urban Planning. Technologies, 13(11). https://doi.org/10.3390/technologies13110481

Alshahrani, A. (2024). Artificial intelligence and decision-making in government functions: opportunities, challenges and future research. In Transforming Government People Process and Policy (Vol. 18, Issue 4, pp. 678–698). https://doi.org/10.1108/TG-06-2024-0131

Asia, I. I. (2025). The Employment of Public Relations Practitioners of Artificial Intelligence Technologies in Enhancing Job Performance: A Field Study on a Sample of Employees in Government Institutions. In Lecture Notes in Networks and Systems (Vol. 1697, pp. 247–260). https://doi.org/10.1007/978-3-032-09562-6_18

Baldassarre, M. T. (2025). Ethics-Driven Incentives: Supporting Government Policies for Responsible Artificial Intelligence Innovation. IEEE Intelligent Systems, 40(4), 55–63. https://doi.org/10.1109/MIS.2025.3583222

Baum, S. (2021). Research Questions and Research Design. https://doi.org/10.1007/978-981-16-1677-8_2

Benović, A., Miškić, M., Pantović, V., Vujičić, S., Vidojević, D., Opačić, M., & Jovanović, F. (2025). Assessment of the Impact of Solar Power Integration and AI Technologies on Sustainable Local Development: A Case Study from Serbia. Sustainability (Switzerland), 17(15). https://doi.org/10.3390/su17156977

Campo-Ruiz, I. (2025). Artificial intelligence may affect diversity: architecture and cultural context reflected through ChatGPT, Midjourney, and Google Maps. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-024-03968-5

Creswell, J. W., & Creswell, D. J. (2022). Research design - international student edition: Qualitative, quantitative, and mixed methods approaches. In Research design - international student edition : qualitative, quantitative, and mixed methods approaches.

Edmonds, W. A., & Kennedy, T. D. (2020). An Applied Guide to Research Designs: Quantitative, Qualitative, and Mixed Methods. In An Applied Guide to Research Designs: Quantitative, Qualitative, and Mixed Methods. https://doi.org/10.4135/9781071802779

Fleischmann, K. (2023). German Design Educators’ Post-Covid Challenges: Online, Artificial Intelligence (AI) and Government Data Restrictions. Design and Technology Education, 28(1), 135–153. https://doi.org/10.24377/DTEIJ.article1176

Flick, U. (2022). The SAGE Handbook of Qualitative Research Design. In The SAGE Handbook of Qualitative Research Design. https://doi.org/10.4135/9781529770278

Gao, L., & Luna-Reyes, L. F. (2025). Implications of Adopting AI-Based Applications in Local Governments: A Systematic Literature Review from a Public Value Perspective. In Public Administration, Governance and Globalization (Vol. 6, pp. 363–388). Springer. https://doi.org/10.1007/978-3-032-00514-4_18

Gaozhao, D. (2024). Bureaucrat or artificial intelligence: people’s preferences and perceptions of government service. Public Management Review, 26(6), 1498–1525. https://doi.org/10.1080/14719037.2022.2160488

Gharbaoui, O. E., Boukhari, H. E., & Salmi, A. (2024). Chatbots and Citizen Satisfaction: Examining the Role of Trust in AI-Chatbots as a Moderating Variable. TEM Journal, 13(3), 1825–1836. https://doi.org/10.18421/TEM133-11

Gilpin, D. R., & Murphy, P. J. (2008). Crisis Management in a Complex World. In Crisis Management in a Complex World. https://doi.org/10.1093/acprof:oso/9780195328721.001.0001

Hameduddin, T., & Vivona, R. (2023). Sector-Switching, Bureaucratic Reputation, and Citizen Evaluation of Performance: Evidence From a Large-Scale Experiment in India. Administration and Society, 55(3). https://doi.org/10.1177/00953997221147231

Harrison, T. M. (2022). Cultivating Trustworthy Artificial Intelligence in Digital Government. Social Science Computer Review, 40(2), 494–511. https://doi.org/10.1177/0894439320980122

Hjaltalin, I. T., & Sigurdarson, H. T. (2024). The strategic use of AI in the public sector: A public values analysis of national AI strategies. Government Information Quarterly, 41(1). https://doi.org/10.1016/j.giq.2024.101914

Jeljeli, R. (2024). The role of artificial intelligence and public relations in reputation management: A structural equation modelling-based (SEM) study. International Journal of Data and Network Science, 8(3), 1815–1828. https://doi.org/10.5267/j.ijdns.2024.2.007

Jeljeli, R., Farhi, F., & Zahra, A. (2023). Impacts of PR and AI on the Reputation Management: A Case Study of Banking Sector Customers in UAE. In A. B., H. A., K. R., & K. R.E. (Eds.), Lecture Notes in Networks and Systems: Vol. 620 LNNS (pp. 265–277). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-26953-0_26

Johannesson, P., & Perjons, E. (2021). An introduction to design science. In An Introduction to Design Science. https://doi.org/10.1007/978-3-030-78132-3

Ju, J., Meng, Q., Sun, F., Liu, L., & Singh, S. (2023). Citizen preferences and government chatbot social characteristics: Evidence from a discrete choice experiment. Government Information Quarterly, 40(3). https://doi.org/10.1016/j.giq.2022.101785

Kalampokis, E. (2021). Applying Explainable Artificial Intelligence Techniques on Linked Open Government Data. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (Vol. 12850, pp. 247–258). https://doi.org/10.1007/978-3-030-84789-0_18

Kalliontzi, V., Voulgarakis, V., & Delinavelli, G. (2024). Data-driven policy development of Municipalities Preparation steps for Integrating AI tools in the policymaking process. In P. D.N., K. N.N., V. M., C. V., V. I., & E. C. (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 48, Issues 4/W10-2024, pp. 85–91). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLVIII-4-W10-2024-85-2024

Kamal, M. B., Hossain, M. B., Islam, J., Alam, I. K., Ibn Sayed, N., Assiri, M. A., & Mia, R. (2025). Digital Ethics: A Review of Leadership Theories, Challenges, and Responsibilities. SAGE Open, 15(4). https://doi.org/10.1177/21582440251386901

Kleizen, B. (2023). Do citizens trust trustworthy artificial intelligence? Experimental evidence on the limits of ethical AI measures in government. Government Information Quarterly, 40(4). https://doi.org/10.1016/j.giq.2023.101834

Longo, F., Padovano, A., Sammarco, C., Ivanov, D., & Jackson, I. (2025). Democratizing human-AI collaborative decision-making in agri-food supply chains: A trust-building framework. In S. F., P. S., A. E., D. A., I. D., & B. D. (Eds.), IFAC-PapersOnLine (Vol. 59, Issue 10, pp. 2688–2693). Elsevier B.V. https://doi.org/10.1016/j.ifacol.2025.09.452

Lungu, M. (2024). Enhancing public service delivery in government procurement: A review exploring the role of artificial intelligence and automative structures. In Handbook of Public Service Delivery (pp. 188–204). https://doi.org/10.4337/9781035315314.00019

Manias, G., Apostolopoulos, D., Athanassopoulos, S., Borotis, S., Chatzimallis, C., Chatzipantelis, T., Compagnucci, M. C., Draksler, T. Z., Fournier, F., Goralczyk, M., Gucek, A., Karabetian, A., Kefala, S., Moumtzi, V., Kotios, D., Kovacic, M., Kyrkou, D., Limonad, L., Magopoulou, S., … Kyriazis, D. (2023). AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values. Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, 548–555. https://doi.org/10.1109/DCOSS-IoT58021.2023.00090

Maulana, R. Y., Durnik, M., & Decman, M. (2024). Collaborative Approach on Digital Government Transformation: In-Depth Analysis from Expert Interview. NISPAcee Journal of Public Administration and Policy, 17(1), 94–119. https://doi.org/10.2478/nispa-2024-0005

Miles, M. B., Huberman, M., & Saldana, J. (2020). Qualitative Data Analysis-A Methods Sourcebook -4th edition. In SAGE (Vol. 53, Issue 9).

Mukherjee, P. K. (2022). Artificial Intelligence Based Smart Government Enterprise Architecture (AI-SGEA) Framework. In Communications in Computer and Information Science (Vol. 1695, pp. 325–333). https://doi.org/10.1007/978-3-031-22485-0_30

Nielsen, M. M., & Jordanoski, Z. (2023). Digital Transformation, Governance, and Coordination in Times of Crisis: An Analysis of Australia, Denmark, and the Republic of Korea. Digital Government: Research and Practice, 4(4). https://doi.org/10.1145/3604569

Niskanen, W. A. (2017). Bureaucracy and representative government. In Bureaucracy and Representative Government. https://doi.org/10.4324/9781315081878

Nzobonimpa, S. (2023). Ready but irresponsible? Analysis of the Government Artificial Intelligence Readiness Index. Policy and Internet, 15(3), 397–414. https://doi.org/10.1002/poi3.351

Omonov, M. S., & Ahn, Y. (2025). Towards Smart Public Administration: A TOE-Based Empirical Study of AI Chatbot Adoption in a Transitioning Government Context. Administrative Sciences, 15(8). https://doi.org/10.3390/admsci15080324

Pazos-García, M. J., López-López, V., Vila-Vázquez, G., & González, X. P. (2025). Governance, quality of life and city performance: A study based on artificial intelligence. Journal of Computational Social Science, 8(4). https://doi.org/10.1007/s42001-025-00416-5

Rakšnys, A. V, Gudelis, D., & Guogis, A. (2025). THE USES OF ARTIFICIAL INTELLIGENCE IN THE PUBLIC SECTOR: CHALLENGES AND PROSPECTS. Public Policy and Administration, 24(3), 467–477. https://doi.org/10.5755/j01.ppaa.24.3.39489

Ruvalcaba-Gomez, E. A. (2023). Analysis of the perception of digital government and artificial intelligence in the public sector in Jalisco, Mexico. International Review of Administrative Sciences, 89(4), 1203–1222. https://doi.org/10.1177/00208523231164587

Said, N. A. (2025). Does data privacy influence digital marketing? The mediating role of AI-driven trust: An empirical study of Zain Telecom company in Jordan. International Journal of Data and Network Science, 9(1), 187–200. https://doi.org/10.5267/j.ijdns.2024.8.023

Saura, J. R. (2022). Assessing behavioral data science privacy issues in government artificial intelligence deployment. Government Information Quarterly, 39(4). https://doi.org/10.1016/j.giq.2022.101679

Takona, J. P. (2024). Research design: qualitative, quantitative, and mixed methods approaches / sixth edition. In Quality and Quantity (Vol. 58, Issue 1). https://doi.org/10.1007/s11135-023-01798-2

Wei, Y. (2021). Dancing on a tightrope: The reputation management of local governments in response to public protests in China. Public Administration, 99(3), 547–562. https://doi.org/10.1111/padm.12699

Weyant, E. (2022). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 5th Edition. Journal of Electronic Resources in Medical Libraries, 19(1–2). https://doi.org/10.1080/15424065.2022.2046231

Widjaja, M., & Legowo, N. (2024). Evaluating Customer Satisfaction on Indonesian Banking Artificial Intelligence-Driven Chatbot Services. 2024 International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024, 1031–1036. https://doi.org/10.1109/ICICYTA64807.2024.10913449

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Published

2026-03-24

How to Cite

Purba, A. M., & Lusia, A. (2026). Adopting AI in Medan PR: a study of government reputation management. Jurnal Studi Komunikasi, 10(1), 183–196. https://doi.org/10.25139/jsk.v10i1.11350

Issue

Vol. 10 No. 1 (2026)

Section

Articles

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