PENGARUH PERSEPSI RISIKO, PENCARIAN DAN PEMROSESAN INFORMASI RISIKO, SERTA PERILAKU KOMUNIKASI TERHADAP INTENSI PERILAKU
Main Article Content
Abstract
Media sosial kini telah menjadi alat potensial untuk kampanye kesehatan. Beragam penelitian terkait pengaruh media sosial pada intensi perilaku dalam kampanye juga telah banyak dilakukan, namun masih sedikit yang melibatkan perilaku komunikasi. Menstimulasi perilaku pencarian informasi merupakan hasil penting dari kampanye kesehatan karena perilaku ini yang cenderung tetap efektif setelah kampanye kesehatan berakhir. Terkait dengan hal tersebut, penelitian ini meneliti apakah media sosial berperan dalam kampanye kesehatan yang bertujuan pada intensi perilaku dengan mediasi perilaku komunikasi. Penelitian ini stunting (kerdil). Fokus terhadap stunting dilakukan karena hal ini menjadi masalah gizi utama di Indonesia. Peneliti menggunakan adaptasi model penelitian yang memadukan Theory of Planned Behaviour, Risk Information Seeking and Processing model, Risk Perception Attitude Framework, serta Situational Theory of Problem Solving. Penelitian dilakukan secara kuantitatif, sedangkan pengambilan data dengan survei online pada perempuan yang menjadi pengikut akun kampanye pencegahan stunting milik Kementerian Komunikasi dan Informatika @genbestid dengan pengikut per 15 Maret 2021 sebanyak 33.8 ribu . Hasil penelitian menemukan bahwa intensi perilaku pencegahan stunting paling dapat diprediksi dengan perilaku transmisi informasi (information transmission). Dalam hal ini transmisi informasi mampu memediasi hubungan antara kepercayaan pada saluran yang relevan (relevant channel belief) dengan intensi perilaku pencegahan stunting.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
References
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Action Control, 11–39.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
De Josselin De Jong, S., Candel, M., Segaar, D., Cremers, H. P., & De Vries, H. (2014). Efficacy of a web-based computer-tailored smoking prevention intervention for dutch adolescents: Randomized controlled trial. Journal of Medical Internet Research, 16(3), 1–12. https://doi.org/10.2196/jmir.2469
Griffin, R. J., Dunwoody, S., & Yang, Z. J. (2013). Linking Risk Messages to Information Seeking and Processing. Annals of the International Communication Association, 36(1), 323–362. https://doi.org/10.1080/23808985.2013.11679138
Griffin, R. J., Neuwirth, K., Dunwoody, S., & Giese, J. (2004). Information Sufficiency and Risk Communication Risk Communication. Media Psykology, 6:1(June), 23–61. https://doi.org/10.1207/s1532785xmep0601
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer On Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Inc.
Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computers in Human Behavior, 39, 254–262. https://doi.org/10.1016/j.chb.2014.07.020
Janz, N., & Marshall Becker. (1984). The Health Belief Model. A decade later. 1984; 11 (1): 1-47. Health Education Quarterly, 11(1), 1–47.
Jattamart, A., & Leelasantitham, A. (2019). The Influence of Social Media Lifestyle Interventions on Health Behaviour: A Study on Patients with Major Depressive Disorders and Family Caregivers. The Open Public Health Journal, 12(1), 387–405. https://doi.org/10.2174/1874944501912010387
Kahlor, L. A. (2007). An augmented risk information seeking model: The case of global warming. Media Psychology, 10(3), 414–435. https://doi.org/10.1080/15213260701532971
Kahlor, L., Dunwoody, S., Griffin, R. J., & Neuwirth, K. (2006). Seeking and processing information about impersonal risk. Science Communication, 28(2), 163–194. https://doi.org/10.1177/1075547006293916
Kim, J. N., & Grunig, J. E. (2011). Problem Solving and Communicative Action: A Situational Theory of Problem Solving. Journal of Communication, 61(1), 120–149. https://doi.org/10.1111/j.1460-2466.2010.01529.x
Lee, S., & Rodriguez, L. (2008). Four publics of anti-bioterrorism information campaigns: A test of the situational theory. Public Relations Review, 34(1), 60–62. https://doi.org/10.1016/j.pubrev.2007.11.007
Mahyarni. (2013). Sebuah Kajian Historis tentang Perilaku. Jurnal El-Riyasah, 4(1), 13–23. http://ejournal.uin-suska.ac.id/index.php/elriyasah/article/view/17/13
McLuhan, M. (1964). Understanding Media: The extensions of man. Routledge.
Moreau, M., Gagnon, M.-P., & Boudreau, F. (2015). Development of a Fully Automated, Web-Based, Tailored Intervention Promoting Regular Physical Activity Among Insufficiently Active Adults With Type 2 Diabetes: Integrating the I-Change Model, Self-Determination Theory, and Motivational Interviewing Compon. JMIR Research Protocols, 4(1), e25. https://doi.org/10.2196/resprot.4099
Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (Issue 7). Pearson Education Limited.
Owen, R., & Humphrey, P. (2009). The structure of online marketing communication channels. Journal of Management and Marketing Research, Imc, 1–10. https://doi.org/10.1057/9781137413260_3
Paek, H. J., Hove, T., Jung, Y., & Cole, R. T. (2013). Engagement across three social media platforms: An exploratory study of a cause-related PR campaign. Public Relations Review, 39(5), 526–533. https://doi.org/10.1016/j.pubrev.2013.09.013
Rimal, R. N., Flora, J. A., & Schooler, C. (1999). Achieving Improvements in Overall Health Orientation: Effects of Campaign Exposure, Information Seeking, and Health Media Use. Communication Research, 26, 322–348.
Rimal, R. N., & Real, K. (2003). Perceived risk and efficacy beliefs as motivators of change: Use of the risk perception attitude (RPA) framework to understand health behaviors. Human Communication Research, 29(3), 370–399. https://doi.org/10.1093/hcr/29.3.370
Rodríguez-Reimann, D. I., Nicassio, P., Reimann, J. O. F., Gallegos, P. I., & Olmedo, E. L. (2004). Acculturation and health beliefs of Mexican Americans regarding tuberculosis prevention. Journal of Immigrant Health, 6(2), 51–62. https://doi.org/10.1023/B:JOIH.0000019165.09266.71
Rosini, R., & Nurningsih, S. (2018). Pemanfaatan media sosial untuk pencarian dan komunikasi informasi kesehatan. Berkala Ilmu Perpustakaan Dan Informasi, 14(2), 226. https://doi.org/10.22146/bip.33844
Sekretariat Wakil Presiden Republik Indonesia. (2018). Strategi Nasional Percepatan Pencegahan Anak Kerdil (Stunting) Periode 2018-2024.
Southwell, B. G., & Yzer, M. C. (2009). When (and Why) Interpersonal Talk Matters for Campaigns. Communication Theory, 19(1), 1–8. https://doi.org/10.1111/j.1468-2885.2008.01329.x
Thompson, T. L. (Ed.). (2014). Encyclopedia of Health Communication. Sage Publications, Inc.
West, J., Syafiq, A., Crookston, B., Bennett, C., Hasan, M. R., Dearden, K., Linehan, M., Hall, C., & Torres, S. (2018). Stunting-Related Knowledge: Exploring Sources of and Factors Associated with Accessing Stunting-Related Knowledge among Mothers in Rural Indonesia. Health, 10(09), 1250–1260. https://doi.org/10.4236/health.2018.109096
Yamane, T. (1973). Statistics an Introductory Analysis (3rd ed.). Harper & Row Inc.
Yan, J., Wei, J., Zhao, D., Vinnikova, A., Li, L., & Wang, S. (2018). Communicating Online Diet-Nutrition Information and Influencing Health Behavioral Intention: The Role of Risk Perceptions, Problem Recognition, and Situational Motivation. Journal of Health Communication, 23(7), 624–633. https://doi.org/10.1080/10810730.2018.1500657
Yoo, S. W., Kim, J., & Lee, Y. (2018). The Effect of Health Beliefs, Media Perceptions, and Communicative Behaviors on Health Behavioral Intention: An Integrated Health Campaign Model on Social Media. Health Communication, 33(1), 32–40. https://doi.org/10.1080/10410236.2016.1242033
Zak-Place, J., & Stern, M. (2004). Health belief factors and dispositional optimism as predictors of STD and HIV preventive behavior. Journal of American College Health, 52(5), 229–236. https://doi.org/10.3200/JACH.52.5.229-236