Main Article Content


Public awareness to take part in the Covid-19 vaccination is still lacking, due to a lack of public awareness and a lot of misinformation received by the public from various media. Therefore, it is necessary to provide the right insight to the community by using an effective educational model. The purpose of this community service is to provide education to the public directly about the definition of vaccines, their effects, the causes of post-vaccination effects, and the benefits of vaccines. This community service is intended for residents of Dusun Popoh, Besole Village, Tulungagung Regency which demographically is a southern coastal area. Activities are carried out by visiting residents to their homes and to the port where fishing boats rest. The target of education with the Health Believe Model approach is a total of 24 families living around the coast. The stages applied in the implementation of this service are divided into preparation, implementation and evaluation. The method of data collection is done qualitatively with a phenomenological approach. People who have received education said they understood the purpose and benefits of vaccination, they also said that this hands-on education made them understand about true and false news about vaccination. This educational activity is able to open the public's insight about vaccines, so that with this change in perception, it is hoped that later it will be able to increase the number of vaccination achievements.


Pendidikan Kesehatan Health Belief Model Vaksin

Article Details

How to Cite
Erwansyah, R. A., & Suciati, S. (2021). Health Belief Model untuk Menigkatkan Kesadaran Mengikuti Vaksinasi Covid-19 dan Patuh Protokol Kesehatan di Dusun Popoh Desa Besole Tulungagung. Jurnal SOLMA, 10(2), 397-405.


    Alagoz, O., Sethi, A. K., Patterson, B. W., Churpek, M., Alhanaee, G., Scaria, E., & Safdar, N. (2021). The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach. PLoS ONE, 16(7 July), 1–12.
    Cihan, P. (2021). Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World. Applied Soft Computing, 111, 107708.
    Djalante, R., Lassa, J., Setiamarga, D., Sudjatma, A., Indrawan, M., Haryanto, B., Mahfud, C., Sinapoy, M. S., Djalante, S., Rafliana, I., Gunawan, L. A., Surtiari, G. A. K., & Warsilah, H. (2020). Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020. Progress in Disaster Science, 6, 100091.
    Djanas, D., Yusirwan, Martini, R. D., Rahmadian, Putra, H., Zanir, A., Syahrial, & Nindrea, R. D. (2021). Survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia. Data in Brief, 36, 107098.
    Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289.
    Escandón, K., Rasmussen, A. L., Bogoch, I. I., Murray, E. J., Escandón, K., Popescu, S. V, & Kindrachuk, J. (2021). COVID-19 false dichotomies and a comprehensive review of the evidence regarding public health, COVID-19 symptomatology, SARS-CoV-2 transmission, mask wearing, and reinfection. BMC Infectious Diseases, 21(1), 710.
    Freckelton Qc, I. (2020). COVID-19: Fear, quackery, false representations and the law. International Journal of Law and Psychiatry, 72, 101611.
    Gordon, J., Reynolds, M., & Barnby, E. (2021). An Informative Discussion for School Nurses on COVID-19 mRNA Vaccine. NASN School Nurse, 36(3), 132–136.
    Grimes, D. R. (2021). Medical disinformation and the unviable nature of COVID-19 conspiracy theories. PLOS ONE, 16(3), e0245900.
    Gurdasani, D., Bhatt, S., Costello, A., Denaxas, S., Flaxman, S., Greenhalgh, T., Griffin, S., Hyde, Z., Katzourakis, A., McKee, M., Michie, S., Ratmann, O., Reicher, S., Scally, G., Tomlinson, C., Yates, C., Ziauddeen, H., & Pagel, C. (2021). Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis. Journal of the Royal Society of Medicine, 01410768211052589.
    Harvard, S., Winsberg, E., Symons, J., & Adibi, A. (2021). Value judgments in a COVID-19 vaccination model: A case study in the need for public involvement in health-oriented modelling. Social Science & Medicine, 286, 114323.
    Hiscott, J., Alexandridi, M., Muscolini, M., Tassone, E., Palermo, E., Soultsioti, M., & Zevini, A. (2020). The global impact of the coronavirus pandemic. Cytokine & Growth Factor Reviews, 53, 1–9.
    Houlden, S., Hodson, J., Veletsianos, G., Reid, D., & Thompson-Wagner, C. (2021). The health belief model: How public health can address the misinformation crisis beyond COVID-19. Public Health in Practice, 2, 100151.
    Iftimie, S., López-Azcona, A. F., Vallverdú, I., Hernández-Flix, S., de Febrer, G., Parra, S., Hernández-Aguilera, A., Riu, F., Joven, J., Andreychuk, N., Baiges-Gaya, G., Ballester, F., Benavent, M., Burdeos, J., Català, A., Castañé, È., Castañé, H., Colom, J., Feliu, M., … Castro, A. (2021). First and second waves of coronavirus disease-19: A comparative study in hospitalized patients in Reus, Spain. PLOS ONE, 16(3), e0248029.
    Ismawardani, D., Izzati, R. L., & Alhafiz. (2020). Garda Terdepan Penanggulangan Covid-19.
    Kementerian Kesehatan. (2020). Petunjuk Teknis Pelayanan Puskesmas Pada Masa Pandemi COVID-19.
    Liu, S., & Liu, J. (2021). Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis. Vaccine, 39(39), 5499–5505.
    Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(3), 337–348.
    Lyu, H., Wang, J., Wu, W., Duong, V., Zhang, X., Dye, T. D., & Luo, J. (2021). Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination. Intelligent Medicine.
    Obi-Ani, N. A., Anikwenze, C., & Isiani, M. C. (2020). Social media and the Covid-19 pandemic: Observations from Nigeria. Cogent Arts & Humanities, 7(1), 1799483.
    Pahrudin, P., Chen, C.-T., & Liu, L.-W. (2021). A modified theory of planned behavioral: A case of tourist intention to visit a destination post pandemic Covid-19 in Indonesia. Heliyon, 7(10), e08230.
    Paul, I., Mohanty, S., & Sengupta, R. (2022). The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic. Computers in Human Behavior, 127, 107036.
    Rasjid, Z. E., Setiawan, R., & Effendi, A. (2021). A Comparison: Prediction of Death and Infected COVID-19 Cases in Indonesia Using Time Series Smoothing and LSTM Neural Network. Procedia Computer Science, 179, 982–988.
    Reiter, P. L., Oldach, B. R., Randle, K. E., & Katz, M. L. (2013). Acceptability of HPV Vaccine for Males and Preferences for Future Education Programs Among Appalachian Residents. American Journal of Men’s Health, 8(2), 167–174.
    Rella, S. A., Kulikova, Y. A., Dermitzakis, E. T., & Kondrashov, F. A. (2021). Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains. Scientific Reports, 11(1), 1–10.
    Syuhada, K., Wibisono, A., Hakim, A., & Addini, F. (2021). Covid-19 risk data during lockdown-like policy in Indonesia. Data in Brief, 35, 106801.
    Tanaka, H., Lee, H., Morita, A., Namkoong, H., Chubachi, S., Kabata, H., Kamata, H., Ishii, M., Hasegawa, N., Harada, N., Ueda, T., Ueda, S., Ishiguro, T., Arimura, K., Saito, F., Yoshiyama, T., Nakano, Y., Mutoh, Y., Suzuki, Y., … Fukunaga, K. (2021). Clinical Characteristics of Patients with Coronavirus Disease (COVID-19): Preliminary Baseline Report of Japan COVID-19 Task Force, a Nationwide Consortium to Investigate Host Genetics of COVID-19. International Journal of Infectious Diseases, 113, 74–81.
    WHO. (2020). Pelayanan kesehatan berbasis komunitas, termasuk penjangkauan dan kampanye, dalam konteks pandemi COVID-19. World Health Organization dan United Nations Children’s Fund (UNICEF).

DB Error: Unknown column 'Array' in 'where clause'