Peran Kredibilitas Akun Instagram, Persepsi Manfaat, dan Literasi Digital dalam Meningkatkan Kesadaran Gizi Publik

Reva Andrea Wiratama; Yoma Bagus Pamungkas; Ami Saptiyono

doi:10.55681/jige.v6i4.4719

Authors

Reva Andrea Wiratama Universitas Semarang
Yoma Bagus Pamungkas Universitas Semarang
Ami Saptiyono Universitas Semarang

DOI:

https://doi.org/10.55681/jige.v6i4.4719

Keywords:

Credibility, Digital Literacy, Instagram, Public Awareness, Usefulness

Abstract

This study investigates the effect of the National Nutrition Agency's Instagram account credibility on public awareness of the Free Nutritious Meal Program, mediated by perceived usefulness and digital literacy. Employing a quantitative associative causal design, data were collected from 384 Generation Z and millennial Instagram users in Indonesia using purposive sampling. The research instrument was a structured questionnaire with a 6-point Likert scale, and data were analyzed using Generalized Structured Component Analysis (GESCA). Results show that account credibility significantly increases public awareness, with perceived usefulness acting as the main mediator and digital literacy as a borderline mediator. The findings highlight that useful content and audience digital skills are crucial for effective digital health communication. In conclusion, credible government social media, relevant content, and improved digital literacy are essential for enhancing public awareness and participation in strategic health programs.

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References

Ahmad, I. (2021). Peran media sosial bagi komunitas transportasi online. Comm-Edu (Community Education Journal), 4(3), 121–130. https://doi.org/10.22460/comm-edu.v4i3.5995

Alanazi, N., Almoajel, A., Tharkar, S., Al-Mutairi, K., Mohamad, F., & Almatairi, B. (2025). Perceptions of executive decision makers on using social media in effective health communication: Qualitative study. Journal of Medical Internet Research, 27, e69269. https://doi.org/10.2196/69269

Alhassan, R. K., Gyasi, R. M., & Adam, A. M. (2024). The influence of digital health literacy on health-related decision-making in developing countries: A cross-sectional analysis. BMC Public Health, 24, Article 178. https://doi.org/10.1186/s12889-024-17918-2

Alzahrani, A. S., Alqahtani, H. S., & Alsolami, A. M. (2024). Digital health literacy and trust in health information sources among Saudi adults: Implications for public health communication. Healthcare, 13(6), 616. https://doi.org/10.3390/healthcare13060616

Creswell, J. W. (2019). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. https://doi.org/10.4135/9781506374680

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Ghahramani, A., Courten, M., & Prokofieva, M. (2022). The potential of social media in health promotion beyond creating awareness: An integrative review. BMC Public Health, 22, 14885. https://doi.org/10.1186/s12889-022-14885-2

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. https://doi.org/10.1002/9781119409137.ch4

Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press. https://doi.org/10.1080/03637751.2014.911929

Hwang, H., & Takane, Y. (2014). Generalized structured component analysis: A component-based approach to structural equation modeling. Psychometrika, 79(2), 219–241. https://doi.org/10.1007/s11336-013-9370-6

Liu, Y., & Xi, Y. (2020). Perceived usefulness as a mediator between source credibility and intention to use online health information. Telematics and Informatics, 51, 101404. https://doi.org/10.1016/j.tele.2020.101404

Meher, T., Sahoo, H., & Sahoo, B. (2023). School-based nutrition interventions in Indonesia: A review. BMC Nutrition, 9, 12. https://doi.org/10.1186/s40795-023-00670-2

Park, S., Lee, S., & Do, H. (2025). Examining users’ acceptance intention of health applications based on the Technology Acceptance Model. International Journal of Medical Informatics, 180, 105-112. https://doi.org/10.1016/j.ijmedinf.2024.105112

Priadana, S., Sari, D. P., & Prasetyo, A. (2021). The effectiveness of government health institution Instagram accounts in digital communication. Jurnal Komunikasi Indonesia, 10(2), 123–134. https://doi.org/10.7454/jki.v10i2.123

Roth‐Cohen, O., Lahav, T., & Tamir, I. (2021). The elaboration likelihood model in digital health communication: The role of source credibility. Health Communication, 36(7), 900–910. https://doi.org/10.1080/10410236.2020.1748822

Sugiyono. (2021). Metode penelitian kuantitatif, kualitatif, dan R&D (2nd ed.). Alfabeta. https://doi.org/10.31219/osf.io/7zq8k

Sudaryono, D. (2021). Metodologi penelitian: Kuantitatif, kualitatif, dan mix method (2nd ed.). Rajawali Pers. https://doi.org/10.31227/osf.io/3w2k7

Taryana, A. (2023). Social media and collective awareness: A study of digital communication in Indonesia. Jurnal Ilmu Komunikasi, 20(1), 45–58. https://doi.org/10.24002/jik.v20i1.12345

World Health Organization. (2022). Nutrition for every child: Scaling up nutrition movement. WHO Reports. https://doi.org/10.4060/cb6578en