Public Reception of Makan Bergizi Gratis (MBG) Program on Social Media
DOI:
https://doi.org/10.58526/jsret.v5i2.1117Keywords:
public acceptance, Makan Bergizi Gratis (MBG), Sentiment Analysis, social media, content analysisAbstract
This study examines public acceptance of the Makan Bergizi Gratis (MBG) program on social media through a qualitative content analysis of 100 comments purposively collected from Instagram, Twitter/X, and YouTube (between March 2025-March 2026). Manual sentiment analysis classified comments into positive, negative, and neutral categories, followed by thematic analysis to identify dominant discourse patterns. Grounded in Agenda Setting Theory (McCombs & Shaw) and Framing Theory (Entman), findings reveal that negative sentiment dominates public discourse, characterized by institutional distrust, budget accountability concerns, potential corruption, unequal distribution, and program sustainability. Twitter/X exhibited the most critical discursive character reflecting its deliberative nature, while YouTube demonstrated a more balanced sentiment distribution. Positive comments reflect appreciation for the program's nutritional objectives, particularly in addressing stunting. This negative dominance signals a credibility gap in government communication. Transparent, two-way, and evidence-based communication strategies are therefore imperative to shift public perception and strengthen trust in MBG implementation.
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Anggriyani, W., & Fakhriza, M. (2024). Analisis sentimen program makan gratis pada media sosial X menggunakan metode NLP. JOSYC: Journal of System and Computer, 5(4), 1033–1042. https://doi.org/10.47065/josyc.v5i4.5826
Azhari, M., & Parjito, P. (2024). Analisis sentimen opini publik program makan siang gratis dengan random forest pada media sosial. Building of Informatics, Technology and Science (BITS), 6(3), 1932–1942. https://doi.org/10.47065/bits.v6i3.5190
Dang, Q., Li, Y., & Chen, S. (2025). The emotions of Chinese netizens toward the opening-up policies for COVID-19: Panic, trust, and acceptance. Frontiers in Public Health, 12, 1489006. https://doi.org/10.3389/fpubh.2024.1489006
Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x
Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). SAGE Publications.
Laia, M. M., Hasan, F. N., & Kuntoro, A. Y. (2025). Analisis sentimen program makan gratis pada platform X menggunakan algoritma Naïve Bayes. Jurnal Ilmiah Informatika, 13(2), 258–264. https://doi.org/10.33884/jif.v13i02.10427
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
Ma, N., Yu, G., & Jin, X. (2024). Investigation of public acceptance of misinformation correction in social media based on sentiment attributions: Infodemiology study using aspect-based sentiment analysis. Journal of Medical Internet Research, 26, e50353. https://doi.org/10.2196/50353
McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187. https://doi.org/10.1086/267990
Ministry of Health of the Republic of Indonesia. (2024). Hasil survei status gizi Indonesia (SSGI) 2024. Kementerian Kesehatan Republik Indonesia. https://www.kemkes.go.id
Molenaar, A., Brennan, L., Reid, M., Lim, M. S. C., Chin, S., & McCaffrey, T. A. (2024). The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: A systematic scoping review. Nutrition Research Reviews, 37(1), 43–78. https://doi.org/10.1017/S0954422423000069
Mukarom, D. A. T., Pangestu, G. P., Margadipraja, M. F., & Winata, H. M. (2025). Analisis sentimen berbasis aspek terhadap program "Makan Bergizi Gratis (MBG)" di Twitter/X dengan pendekatan efektivitas Duncan. Jurnal Pendidikan Sosial dan Humaniora, 5(1), 1890–1907. https://publisherqu.com/index.php/pediaqu/article/view/3565
Nasrullah, R. (2017). Media sosial: Perspektif komunikasi, budaya, dan sosioteknologi (4th ed.). Simbiosa Rekatama Media.
Sari, L. P. C., Bimantoro, P., Chaerunnisa, N., Sudrajat, H. H., & Ramadhan, M. R. (2026). Konstruksi sosial pada pemberitaan Makan Bergizi Gratis: Analisis framing pemberitaan Metrotvnews.com periode September 2025. Jurnal Ilmiah Global Education, 7(1), 928–945. https://doi.org/10.55681/jige.v7i1.5500
Sidauruk, E. R., Rosano, K. A. P., Putri, K., Azizah, R. R., Habibah, S. Z. N., & Rahmawati, R. (2024). Analisis persepsi publik terhadap program 'Makan Siang Gratis' Prabowo-Gibran pada postingan Instagram @prabowo.gibran2 di Pemilu 2024. Jurnal Multidisiplin Inovatif, 8(11), 41–54.
Triana, F. R. D., & Amali, M. T. (2024). Analisis framing pemberitaan program kerja makan siang gratis Prabowo-Gibran dalam media online Liputan6.com dan Republika.co.id. Jurnal Ilmu Sosial dan Ilmu Politik (JISIP), 13(3), 603–614. https://doi.org/10.33366/jisip.v13i3.3231
We Are Social & Hootsuite. (2024). Digital 2024 Indonesia: Global overview report. We Are Social. https://wearesocial.com/id/blog/2024/01/digital-2024-indonesia/
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