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Health Communication Information System Model During The 2019-2022 Pandemic
K. Y. S. Putri (a*), Wiratri Anindhita (b), Nada Arina Romli (c), Diva Rheva Deianeira (d), Hana Hanifah (e), Muhammad Aditia (f)

(a) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
*kinkinsubarsa[at]unj.ac.id
(b) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(c) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(d) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(e) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(f) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta


Abstract

The pandemic has made everyone creative in maintaining human life. Including health information problems in handling and treatment during and after Covid-19. The model of the information system in health reporting during the pandemic in Indonesia is very dominant. The research question is whether there is an effect of the health communication information system on the attitude of the health community during the pandemic in Indonesia. The purpose of the study was to determine the model of a health communication information system on the attitude of the health community during a pandemic in Indonesia. Previous research supports our research. The concept used is a health communication information system and public attitudes. The method used is quantitative by distributing questionnaires with respondents face to face. The results of the validity and reliability test of research measuring instruments are valid and reliable. The results of descriptive research have positive values for all dimensions of information systems and public attitudes. The results of the biviariat research show that there is a strong influence of the health communication information system model on the attitude of the health community during the pandemic in Indonesia. The strong influence of the health communication information system on peoples attitudes during the pandemic in Indonesia in 2019-2022 states that alternative hypotheses are accepted in testing alternative research. The null hypothesis was rejected in this study because the alternative hypothesis was accepted in this study. The research suggestion is that information systems in other health schools can be useful during pandemic.

Keywords: Information System, Health Communication, Public Attitude

Topic: Computer Science

Plain Format | Corresponding Author (Kinkin Yuliaty Subarsa Putri)

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