Abstract
This study aims to find out how the Indonesian Ministry of Health disseminates information about COVID-19 in Indonesia using the Twitter account @KemenkesRI. This research uses descriptive qualitative research. Data analysis using NVivo 12 Plus software, data retrieval via the Ministry of Health’s Twitter account via NCapture from NVivo 12 Plus with Web Chrome. The data is processed with the cross tab feature to automatically calculate the required main statistical tests with meaningful comparisons and analysis of indirect variables. The Crosstab Query feature is to enter code (manual, generated, etc.), text data, and numeric data in variables and pattern data. At this stage, an automatic calculation is found between all data related to the dissemination of COVID-19 information. Furthermore, using the Word Cloud feature, words that often appear in data searches or display terms are discussed. and the last one is looking for a cluster related to the @KemenkesRI account. This research reveals the Indonesian Ministry of Health’s tweet regarding COVID-19 on their Twitter account. The findings also include updating of COVID-19 data, health protocols, vaccinations and adaptation of public policies. In these four indicators, there are 363 tweets about vaccination indicators, the second is an indicator about the Covid-19 case data update of 265 tweets, the third is a health protocol indicator with 72 tweets, and the last is an indicator about public policy with 63 tweets.
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Pratama, D., Nurmandi, A., Muallidin, I., Kurniawan, D., Salahudin (2022). Information Dissemination of COVID-19 by Ministry of Health in Indonesia. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_8
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