Netizen In Social Media X Responses Of The Indonesia National Village Cooperative Policy (Kdmp)
DOI:
https://doi.org/10.58794/sumur.v4i1.2418Keywords:
KDMP, Social Media X, Policy Feedback Theory, Sentiment Analysis, Village CooperativeAbstract
This study investigates public reactions on social media platform X regarding Indonesia's Koperasi Desa Merah Putih (KDMP) policy, introduced via Presidential Instruction No. 9 of 2025 to create 80,000 village cooperatives. Utilizing NVivo 12 Plus for CAQ-DAS from January 1 to April 4, 2026, the research combines automated sentiment, content, and qualitative narration analysis to explore grassroots institutional trust within Policy Feedback Theory. Empirical findings reveal a severe deficit in public confidence, with automated sentiment analysis showing 75% negative discourse against a 25% positive baseline. Deconstructing this friction, content analysis indicates that "Critique the Policy" commands 35.71%, followed by "Rising Voice" (28.57%), "Sharing Information" (21.43%), and "Support Policy" (14.29%). Narration analysis shows that while nationalistic hashtags like #kdmp (120 counts), "merah" (56), and "putih" (56) anchor the conversation, this patriotic framing is overshadowed by deep anxieties regarding bureaucratic elite capture, systemic inefficiency, and institutional friction with existing Village-Owned Enterprises (BUMDes). This exposes a stark disconnect between top-down state public relations and grassroots skepticism. To foster sustainable community-backed trust, policymakers must pivot from superficial infrastructure metrics toward integrating public feedback, clarifying institutional boundaries, and establishing independent oversight to ensure true democratic legitimacy and rural economic self-reliance.
Views
Downloads
References
[1] B. Fissell, “The Ethics of Military Influence on Politics,” Georg. J. Law Public Policy …, 2025, [Online]. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5090093
[2] A. Bitonti, “Tools of digital innovation in public affairs management: A practice‐oriented analysis,” J. public Aff., 2024, doi: 10.1002/pa.2888.
[3] E. A. Oghuvbu, “An Evaluation of Public Policy Failure and Corruption in Nigeria: A Study of NigercDelta Development Commission (NDDC),” 2025.
[4] H. Y. Jabotinsky and N. Cohen, “Regulatory policy entrepreneurship and reforms: a comparison of competition and financial regulation,” J. Public Policy, 2020, [Online]. Available: https://www.cambridge.org/core/journals/journal-of-public-policy/article/regulatory-policy-entrepreneurship-and-reforms-a-comparison-of-competition-and-financial-regulation/84B33B9F7E8DA0108C8B4FC87219B810
[5] O. C. Hoong, F. Ibrahim, and N. Yunus, “PUBLIC’S PERCEPTION AND FRAMING OF SALES AND SERVICES TAX 2.0 (SST 2.0): A MALAYSIAN CASE,” 2021, klust.edu.my. [Online]. Available: https://klust.edu.my/rmc/wp-content/uploads/sites/4/2021/10/B5_IJIRM-VOL.9_1_221021_full.pdf#page=49
[6] T. Luhuringbudi, P. Putra, M. A. Masuwd, and ..., “Assessing the Impact of Trump’s Economic Policy Strategies on Economic Reform in Indonesia,” Contemp. …, 2025, [Online]. Available: https://ejournal.iainkerinci.ac.id/index.php/cspj/article/view/5142
[7] X. Wang and M. Wang, “Research on the influence of Internet public opinion on public policy and the optimization path.” [Online]. Available: http://166.62.7.99/conferences/LNEMSS/ICEESR 2023/R41.pdf
[8] L. Oprysk, “Symbols of National Importance, Article 6ter Paris Convention and Public Policy and Morality: Ukraine’s State Border Guard Service Before the General Court in T-82 …,” GRUR Int., 2025, [Online]. Available: https://academic.oup.com/grurint/article-abstract/74/1/31/7918788
[9] L. Liu and Y. Fu, “Study on the mechanism of public attention to a major event: The outbreak of COVID-19 in China,” Sustain. Cities Soc., 2022, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2210670722001408
[10] J. Wang, J. Wu, J. Cao, M. Chadli, and ..., “Nonfragile output feedback tracking control for Markov jump fuzzy systems based on integral reinforcement learning scheme,” IEEE Trans. …, 2022, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9911218/
[11] A. L. Campbell, “Policy feedbacks and Medicaid on its 60th anniversary,” J. Health Polit. Policy Law, 2025, [Online]. Available: https://read.dukeupress.edu/jhppl/article-abstract/50/2/165/391179
[12] S. Naqvi, D. Béland, and A. Waddan, “Thatcher’s ’Right to Buy’reform at 40: a policy feedback analysis of UK social housing policies,” … Poverty …, 2021, [Online]. Available: https://bristoluniversitypressdigital.com/view/journals/jpsj/29/3/article-p243.xml
[13] K. Van Heusden, G. E. Stewart, S. P. Otto, and G. A. Dumont, “Pandemic policy design via feedback: A modelling study,” medRxiv, 2021, doi: 10.1101/2021.09.23.21263924.abstract.
[14] D. Shanks and M. E. SoRelle, “The paradox of policy advocacy: philanthropic foundations, public interest groups, and second-order policy feedback effects,” Interes. Groups &Advocacy, 2021, doi: 10.1057/s41309-021-00120-5.
[15] M. Oladokun, “Scaling Clean Technologies through Informational Feedback and Legacy Optimization.” [Online]. Available: https://www.researchgate.net/profile/Martins-Oladokun/publication/392834173_Scaling_Clean_Technologies_through_Informational_Feedback_and_Legacy_Optimization/links/6854a53f99d2ce32c1c9c3b9/Scaling-Clean-Technologies-through-Informational-Feedback-and-Legacy-Optimization.pdf
[16] Q. Li and H. Chen, “The psychology of pedagogical compromise: Written corrective feedback in chinese efl writing through an ecological systems lens,” 2025, Elsevier. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0001691825012594
[17] M. E. SoRelle and A. H. Fullerton, “The policy feedback effects of preemption,” Policy Stud. J., 2024, doi: 10.1111/psj.12528.
[18] M. Bussi, C. Dupuy, and ..., “Does social policy change impact on politics? A review of policy feedbacks on citizens’ political participation and attitudes towards politics,” … Eur. Soc. Policy, 2022, doi: 10.1177/09589287221089478.
[19] H. Qi, H. Yang, Q. Zhang, and Z. Yang, “Sample-efficient reinforcement learning from human feedback via information-directed sampling,” … Inf. Theory, 2025, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/11123904/
[20] A. Munari, “On the value of retransmissions for age of information in random access networks without feedback,” GLOBECOM 2022-2022 IEEE Glob. …, 2022, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10001019/
[21] H. J. Lee, M. Lee, H. Lee, and R. A. Cruz, “Mining service quality feedback from social media: A computational analytics method,” Gov. Inf. Q., 2021, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0740624X21000071
[22] I. N. Ortiz, J. N. Buxbaum, and R. Little, “Protecting the Public Interest.” [Online]. Available: https://www.academia.edu/download/111097481/2079-1220240202-1-4esi1g.pdf
[23] D. Winseck, “Bill C-10 and the future of Internet regulation in Canada,” 2021, cigionline.org. [Online]. Available: https://www.cigionline.org/articles/bill-c-10-and-the-future-of-internet-regulation-in-canada/?amp
[24] S. Alam, R. Taj, and A. Wajid, “Influence of electronic media on public policies and narratives in Pakistan post-2005,” 2021, sajms.iurc.edu.pk. [Online]. Available: http://sajms.iurc.edu.pk/issues/2021b/SAJMS150207.pdf
[25] S. M. Van Hauwaert and F. Vegetti, “Public responsiveness and the macro-origins of immigration opinions across Western Europe,” Eur. Polit. Sci. Rev., 2025, [Online]. Available: https://www.cambridge.org/core/journals/european-political-science-review/article/public-responsiveness-and-the-macroorigins-of-immigration-opinions-across-western-europe/42C5E6BAEE20393C1C9DCE6ED3DBFB39
[26] M. Eisenberg and L. Mordechai, “The Short-and Long-Term Effects of an Early Medieval Pandemic,” 2022, Springer. doi: 10.1007/978-3-030-94137-6_19.
[27] W. L. Bennett and A. Segerberg, “The logic of connective action: Digital media and the personalization of contentious politics,” in Handbook of digital politics, Edward Elgar Publishing, 2023, pp. 287–338.
[28] J. Vignato, M. Inman, M. Patsais, and V. Conley, “Computer-assisted qualitative data analysis software, phenomenology, and Colaizzi’s method,” West. J. Nurs. Res., vol. 44, no. 12, pp. 1117–1123, 2022.
