In 2019, the World Health Organization (WHO) named the anti-vaccine movement one of the top 10 global health threats. This trend has shown that it can diminish public faith in government and increase public distrust of scientific results in the health sector, including the use of the COVID-19 vaccine. The purpose of this study is to examine the anti-vaccine movement on Twitter social media platform, which uses Hashtag to protest vaccination regulations in the COVID-19 pandemic. The content analysis, relationship analysis, and word cloud analysis models were used in this study, which used a descriptive qualitative approach. The primary data source for this study is Hashtag, which are used to focus on three aspects. First, establish which information in Brazil, the United States, and Indonesia leads the anti-vaccine COVID-19 narrative. Second, how does the Hashtag link between each country work? Third, which narrative dominates the use of Hashtag in each of the three countries? According to the findings of this study, in Brazil, 69.2% of Twitter Hashtag associated to the COVID-19 vaccination were negative, compared to 59.4% in the USA and 62.8% in Indonesia. In general, the Hashtag used in the three countries to oppose COVID-19 vaccination policies have a clear and significant relationship. In Brazil, the Hashtag #covidiots was the most popular, while in the United States, #covivaccine was the most popular, and in Indonesia, #antivaccine was the most popular.
The matter of transparency regarding information and data emerges as a pivotal concern in the context of mitigating the COVID-19 epidemic in Indonesia. The regulation of public information transparency in Indonesia is stipulated in Law Number 14 of 2008, which ensures the disclosure of public information. The objective of this study is to conduct a comprehensive examination of the extent to which the Government of Indonesia adheres to the principles outlined in its legislation with regard to the implementation of transparency throughout the pandemic. The approach employed to assess the degree of adherence is normative-empirical analysis. The findings of this research analysis indicate a significant lack of transparency in the public dissemination of COVID-19 information and data in Indonesia. This lack of transparency is inconsistent with the provisions outlined in Law No. 14 of 2008, which governs the publication of public information in the country. The act of downplaying COVID-19 through the dissemination of information, along with the government's decision to withhold comprehensive data, and the prevailing skepticism toward scientific research might be characterized as efforts to impede citizens' access to precise knowledge.
The objective of this study is to examine the associations between levels of population density and the transmission of COVID-19 in Indonesia. Descriptive analysis is employed to determine the data distribution of the response variable (dependent variable Y) as well as the independent variables X1 and X2. Therefore, inferential analysis is a quantitative technique that involves examining a sample in order to draw conclusions about a larger population. The present investigation has revealed a statistically significant positive connection (r = 0.954) between the incidence of COVID-19 patients and population density in Indonesia. The Model Summary provides the R value (Correlation Coefficient) of 0.959, indicating a strong positive correlation between the variables. Additionally, the multiple correlation coefficient r (Multiple R) is 0.920, which represents the determination index or the proportion of the influence of X on Y. Therefore, it can be asserted that 92% of COVID-19 cases are driven by population density and the number of individuals experiencing employment terminations, whilst the remaining 8% is affected by additional factors. The regression equation can be constructed from the Coefficients table in the following manner: The equation can be expressed as . The calculation of the Standard Error of the Estimate (SE) yields a value of 8151.076 or 8151. The standardized coefficient (Beta) of 1.381 represents the extent of association between the number of COVID-19 infection cases and population density.
1 November 2023 in Computer Science and Information Technologies
Tourism is one of the largest contributors to Indonesia's foreign exchange earnings, surpassing taxation, energy, and gas. This study seeks to investigate the use of social media to optimize the promotion of Lake Toba as a tourist destination, which has been impacted by the COVID-19 pandemic. Using interview techniques and live field observations, it was discovered that social media, particularly the Instagram platform, play a significant role in promoting Lake Toba tourism. The Department of Culture and Tourism of the North Sumatra Province uses landscape photography as its primary promotion method, which has proved to be more effective and interesting than conventional methods such as the distribution of brochures or the use of manuals. The capture procedure and techniques for landscape photography were carried out by professional photographers in collaboration with the Department of Culture and Tourism of the North Sumatra Province. In addition to providing information, tourism_sumut's Instagram account functions as a platform to raise public awareness about Lake Toba tourism and as a promotional medium for North Sumatra's tourist attractions on an international scale. Department of Culture and Tourism of the North Sumatra Province collaborates with travel agencies and local communities to disseminate Lake Toba tourism information.
The Republic of Indonesia's Constitutional Court (MK RI) garnered significant public attention during the 2024 elections due to two contentious rulings it rendered. The age restriction for presidential and vicepresidential candidates was the subject of the first ruling, while challenges to the election results were the subject of the second. It's interesting to note that a number of judges have expressed opinions that differ from the rulings in these two contentious decisions, a fact known as dissenting opinions. This study intends to investigate the legal foundation of dissenting opinions and the legal ramifications of such decisions using qualitative approaches, bolstered by document analysis, case studies, and jurisprudence analysis. This study concludes that, with regard to two contentious rulings made by the Constitutional Court of the Republic of Indonesia regarding the 2024 elections, divergent viewpoints have no bearing on the rule of law but do have an effect on judges' individual authority and can provoke public discussion. The contrasting viewpoints expressed in dissenting opinions contribute to a richer legal discourse, particularly when it comes to the significance of substantive and procedural justice in Indonesian elections. This study recommends that the nomination, determination, and selection of judges for the constitutional court be carried out in a transparent, responsible manner that takes into account increased public involvement in an effort to preserve legal sovereignty while defending the ideals and principles of democracy. Rather than going via a political process rife with interests that diminish the court's authority and credibility as a stand-alone judicial body