The need to update the news at this time is very important. Journalists have responsibilities as their job. Apart from conveying the correct news to the public, they must also deliver it quickly. Journalists who are tasked as news seekers must always be updated about the latest news that is viral, therefore a journalist must be fast and reliable in finding news sources. With this research, it can help journalists work in finding news sources by utilizing public information from Twitter, as one of social media platforms. Social media is considered a source of public information that can involve everyone. In previous research, a system has been created to collect tweets from several news accounts on Twitter which are then grouped into various themes based on cosine similarity. Continuing from the results of previous research, this research obtained data from crawlers stored in the database server can be displayed in the form of a report on a business intelligence application dashboard using a data warehouse. Thus, there is some information that can be used to make decisions. This information includes how much news engagement is, how active users are in commenting, trending posts categories, etc. The results of the research will show how much news is generated based on users who actively like, comment and share news on news accounts that are on Twitter. These results will be used as a reference by journalists to cover live news that is viral.
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