Unveiling Sentiment and Financial Risks: OJK’s 10% Co-Payment in Health Insurance

Muhammad Ramadhani Kesuma; Ellen D. Oktanti Irianto; Margareth Henrika; Lusiana Desy Ariswati; Rohana Nur Aini; Chandika Mahendra Widaryo

doi:10.31004/riggs.v4i2.997

Authors

Muhammad Ramadhani Kesuma Mulawarman University
Ellen D. Oktanti Irianto Mulawarman University
Margareth Henrika Mulawarman University
Lusiana Desy Ariswati Mulawarman University
Rohana Nur Aini Mulawarman University
Chandika Mahendra Widaryo Mulawarman University

DOI:

https://doi.org/10.31004/riggs.v4i2.997

Keywords:

Public Sentiment, Co-Payment Regulation, Health Insurance, Social Media Analysis, Financial Risk

Abstract

This qualitative study explores public sentiment and thematic discourse surrounding the Otoritas Jasa Keuangan (OJK) regulation mandating a 10% co-payment for health insurance claims, effective January 1, 2026, as outlined in SEOJK No. 7/SEOJK.05/2025. Data were collected from X posts and associated replies between May 20 and June 12, 2025, a period justified by its alignment with the regulation’s announcement and initial public reaction phases. Employing thematic coding inspired by NVivo 12 methodologies, five key nodes emerged: Regulation Announcement, Cost Concerns, Consumer Criticism, Industry Perspective, and Policy Clarification. Analysis reveals a predominant neutral sentiment in initial media-driven posts, contrasted by a strong negative sentiment in public replies, reflecting financial burdens and trust erosion. The study leverages a word cloud to highlight recurring terms like “co-payment,” “cost,” and “OJK,” reinforcing public focus on financial implications. Findings indicate a reputational risk for insurers and OJK, necessitating enhanced consumer engagement and policy communication. This research contributes a novel perspective on real-time social media sentiment analysis in regulatory contexts, addressing a gap in understanding public response to health insurance reforms in Indonesia. Implications suggest targeted educational campaigns and stakeholder consultations to mitigate adverse perceptions.

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References

Alves, J., Teixeira, S., Oliveira, Z., & Teixeira, S. (2024). Factors Influencing Brands’ Reputation on Social Media. Management & Marketing. https://doi.org/10.2478/mmcks-2024-0031

Balabanova, E., Palmieri, R., & Liu, Z. (2023). Twitter (X), Fast Fashion and Backlash: Argumentation and Ethics on Social Media. Business and Professional Communication Quarterly. https://doi.org/10.1177/23294906231208411

Baraybar-Fernández, A., Martín, S. A., & García, R. R. (2023). A Comparative Study of Communication Management Strategies on Social Media in the Hotel Industry in Spain in Times of COVID-19. Administrative Sciences. https://doi.org/10.3390/admsci13110240

Brown, H., Jacobson, S. K., & Israel, G. D. (2020). Catastrophe and Environmental Restoration: Analyzing the Frames and Sources of Oyster Restoration News Stories. Journal of Applied Communications. https://doi.org/10.4148/1051-0834.2340

Chandra, R., & Krishna, A. (2021). COVID-19 Sentiment Analysis via Deep Learning During the Rise of Novel Cases. Plos One. https://doi.org/10.1371/journal.pone.0255615

Chen, R. R., Xiao, X., Chen, K., & Ren, J. (2023). Presidential Attack Risk. Journal of Global Information Management. https://doi.org/10.4018/jgim.325505

Chen, Y. (2024). The Spillover Effect of Stock Market Sentiment Intensity and Uncertainty on Housing Market in the United States. Advances in Economics Management and Political Sciences. https://doi.org/10.54254/2754-1169/83/20240729

Confetto, M. G., & Covucci, C. (2021). A Taxonomy of Sustainability Topics: A Guide to Set the Corporate Sustainability Content on the Web. The TQM Journal. https://doi.org/10.1108/tqm-06-2020-0134

de Carvalho, J. V., & Furutani Bonetti, R. S. (2023). Longitudinal Effects of Sectoral Concentration on the Brazilian Insurance Market Performance. Revista De Administração Contemporânea. https://doi.org/10.1590/1982-7849rac2022210311.en

Denner, N., & Schneider, H. (2022). People Want to See People? Personalization on Facebook as a Tool for Corporate Communications. Corporate Communications an International Journal. https://doi.org/10.1108/ccij-05-2022-0055

Giglio, S., Pantano, E., Bilotta, E., & Melewar, T. C. (2020). Branding Luxury Hotels: Evidence From the Analysis of Consumers’ “Big” Visual Data on TripAdvisor. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.10.053

Hang Kwok, S. W., Vadde, S. K., & Wang, G. (2021). Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis. Journal of Medical Internet Research. https://doi.org/10.2196/26953

Jalil, Z., Abbasi, A., Javed, A. R., Khan, M. B., Abul Hasanat, M. H., Malik, K. M., & Jilani Saudagar, A. K. (2022). COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2021.812735

Kassem, R., Salama, A., & Ganepola, C. N. (2022). CSR, Credibility, Employees’ Rights and Legitimacy During a Crisis: A critical Analysis of British Airways, WizAir and EasyJet Cases. Employee Relations. https://doi.org/10.1108/er-11-2021-0517

Keasey, K., Lambrinoudakis, C., Mascia, D. V, & Zhang, Z. (2024). The Impact of Social Media Influencers on the Financial Market Performance of Firms. European Financial Management. https://doi.org/10.1111/eufm.12513

Kesuma, M. R., Henrika, M., & Ariswati, L. D. (2025). The Impact Of Capital Intensity On Financial Stability Of Energy Sector Companies In Indonesia. Journal of Financial Economics & Investment, 5(2), 115–127.

Kesuma, M. R., Henrika S., M., Ariswati, L. D., Widaryo, C. M., Irianto, E. D. O., & Aini, R. N. (2025). Exploring Climate Risk Effects on Financial Performance in Energy Sector. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(2), 235–241. https://doi.org/10.31004/riggs.v4i2.483

Khan, M. L., Malik, A., Ruhi, U., & Al-Busaidi, A. S. (2022). Conflicting Attitudes: Analyzing Social Media Data to Understand the Early Discourse on COVID-19 Passports. Technology in Society. https://doi.org/10.1016/j.techsoc.2021.101830

Kuoppakangas, P., Hagman, S., Stenvall, J., & Kinder, T. (2023). Social Learning and Reputation Management in an Espionage Crisis. Corporate Reputation Review. https://doi.org/10.1057/s41299-023-00171-1

Lappeman, J., Clark, R., Evans, J., & Sierra-Rubia, L. (2021). The Effect of nWOM Firestorms on South African Retail Banking. The International Journal of Bank Marketing. https://doi.org/10.1108/ijbm-07-2020-0403

Lenggogeni, S., Ashton, A. S., & Scott, N. (2021). Humour: Coping With Travel Bans During the COVID-19 Pandemic. International Journal of Culture Tourism and Hospitality Research. https://doi.org/10.1108/ijcthr-09-2020-0223

Li, S., Wang, Y., Filieri, R., & Zhu, Y. (2022). Eliciting Positive Emotion Through Strategic Responses to COVID-19 Crisis: Evidence From the Tourism Sector. Tourism Management. https://doi.org/10.1016/j.tourman.2021.104485

Li, X., & Qi-bo, T. (2024). Haze Pollution, Climate Risk Perception and Demand for Commercial Health Insurance. Sage Open. https://doi.org/10.1177/21582440241242544

Liu, Q., Son, H., & Lee, W.-S. (2024). The Game of Lies by Stock Investors in Social Media: A Study Based on City Lockdowns in China. Financial Innovation. https://doi.org/10.1186/s40854-023-00587-y

Liu, X., Tang, Z., & Zhao, Y. (2021). Determinants of Financial Performance: An Evidence From Internet Finance Sector. Managerial and Decision Economics. https://doi.org/10.1002/mde.3451

Liu, Y., Zhang, X., Yang, Z., Ye, F., Chen, H., Zhang, Z., Chen, W., & Qian, W. (2023). Sentiment-Aware Sampling for Large-Scale Geo-Tagged Social Media Data Abstraction. https://doi.org/10.21203/rs.3.rs-2823593/v1

Machmud, M., Irawan, B., Karinda, K., Susilo, J., & Salahudin, S. (2021). Analysis of the Intensity of Communication and Coordination of Government Officials on Twitter Social Media During the Covid-19 Handling in Indonesia. Academic Journal of Interdisciplinary Studies. https://doi.org/10.36941/ajis-2021-0087

Mar Salmones, M. del, Crespo, A., & Martínez, P. (2021). CSR Communication on Facebook: Attitude Towards the Company and Intention to Share. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/ijchm-09-2020-1054

Mastazameatun Kechik, T. S., Luqman, A., Li, C. C., & LEMAN, F. (2023). The Impact of Social Media Adoption on SMEs’ Performance: A TOE Framework Content Analysis. International Journal of Economics and Management. https://doi.org/10.47836/ijeam.17.2.02

Ni, Y., Fernández-Pérez, A., & Indriawan, I. (2024). The Price Impact of Tweets: A High‐frequency Study. Financial Review. https://doi.org/10.1111/fire.12406

Otoritas Jasa Keuangan (2025). Surat Edaran Otoritas Jasa Keuangan Republik Indonesia Nomor 7/SEOJK.05/2025 Tentang Penyelenggaraan Produk Asuransi Kesehatan, Pub. L. No. 7/SEOJK.05/2025.

Pan, X., Li, B., & Wu, J. (2024). The Effects of Digital Economy Development on Social Insurance Funds Revenue: Evidence From China. Plos One. https://doi.org/10.1371/journal.pone.0303897

Quiles-Soler, M. C., Martínez‐Sala, A., & Monserrat‐Gauchi, J. (2022). Fashion Industry’s Environmental Policy: Social Media and Corporate Website as Vehicles for Communicating Corporate Social Responsibility. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.2347

Raghupathi, V., Ren, J., & Raghupathi, W. (2020). Studying Public Perception About Vaccination: A Sentiment Analysis of Tweets. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17103464

Rangarjan, P. K., Gurusamy, B. M., Gayathri, M., Mohan, R., Pallavi, G., Vijayakumar, S., & Altalbe, A. (2024). The Social Media Sentiment Analysis Framework: Deep Learning for Sentiment Analysis on Social Media. International Journal of Electrical and Computer Engineering (Ijece). https://doi.org/10.11591/ijece.v14i3.pp3394-3405

Reyes-Fournier, P., Reyes-Fournier, E., & Bracken, D. W. (2023). Does Cancel Culture Affect the Bottom Line? A Timeseries Analysis of Sentiment and Emotion on the Efficacy of the Call to Cancel Against Abercrombie &Amp; Fitch. European Journal of Behavioral Sciences. https://doi.org/10.33422/ejbs.v6i3.1088

Schou, P. K., Bucher, E., & Waldkirch, M. (2021). Entrepreneurial Learning in Online Communities. Small Business Economics. https://doi.org/10.1007/s11187-021-00502-8

Sulistyawati, S. N., & Suryani, A. W. (2022). Achieving Operational Efficiency Through Risk Disclosure. Asian Journal of Business and Accounting. https://doi.org/10.22452/ajba.vol15no1.5

Suryani, A. W., & Fernando, F. (2023). “Don’t Be a Bragger!”: Social Media Impression and Firm’s Financial Performance. Corporate Reputation Review. https://doi.org/10.1057/s41299-023-00163-1

Tian, Y., & Yang, J. (2022). Deny or Bolster? A Comparative Study of Crisis Communication Strategies Between Trump and Cuomo in COVID-19. Public Relations Review. https://doi.org/10.1016/j.pubrev.2022.102182

Tungande, F., Meyer, A., & Niemann, W. (2020). Opportunities and Challenges of Social Media in Supply Chain Management: A Study in the South African FMCG Retail Industry. Acta Commercii. https://doi.org/10.4102/ac.v20i1.864

Valdez, D., Thij, M. ten, Bathina, K. C., Rutter, L. A., & Bollen, J. (2020). Social Media Insights Into US Mental Health Amid the COVID-19 Pandemic. A Longitudinal Twitter Analysis (JANUARY-APRIL 2020). https://doi.org/10.1101/2020.12.01.20241943

Wang, Y., Zhang, M., Li, S., McLeay, F., & Gupta, S. (2021). Corporate Responses to the Coronavirus Crisis and Their Impact on Electronic‐Word‐of‐Mouth and Trust Recovery: Evidence From Social Media. British Journal of Management. https://doi.org/10.1111/1467-8551.12497

Yu, H., Yang, C.-C., Yu, P., & Liu, K. (2022). Emotion Diffusion Effect: Negative Sentiment COVID-19 Tweets of Public Organizations Attract More Responses From Followers. Plos One. https://doi.org/10.1371/journal.pone.0264794

ZERU, F., Balaban, D. C., & Bârgăoanu, A. (2023). Beyond Self-Presentation. An Analysis of the Romanian Governmental Communications on Facebook. Transylvanian Review of Administrative Sciences. https://doi.org/10.24193/tras.70e.8

Zhang, J. (2024). Evaluation Model of Sports and Health Knowledge Dissemination Effect Based on Social Media Data and Sentiment Analysis. Jes. https://doi.org/10.52783/jes.2654