ANALISIS SENTIMEN TERHADAP BERITA MENGENAI COVID-19 PADA MEDIA BERITA DARING DI INDONESIA DENGAN METODE LEXICON-BASED

AKBAR, MUHAMMAD RHAYHAN and Heroza, Rahmat Izwan and Bardadi, Ali (2021) ANALISIS SENTIMEN TERHADAP BERITA MENGENAI COVID-19 PADA MEDIA BERITA DARING DI INDONESIA DENGAN METODE LEXICON-BASED. Undergraduate thesis, Sriwijaya University.

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Abstract

COVID-19 has changed human demographics in a short period of time. Just a year since being declared a global pandemic by the WHO in March 2020, there were more than 1.5 million cases of COVID-19 in Indonesia as of March 2021. This condition makes Indonesia one of the top 20 countries with the most COVID-19 cases in the world as of March. 2021. Reports regarding the COVID-19 pandemic situation in Indonesia are intensively reported by the news media, including online news media. Online news media, which is the type of mass media most owned by Indonesia, is aggressively reporting the development of the COVID-19 pandemic in Indonesia as the main news. However, in some articles there is an assumption that news about COVID-19 in Indonesia tends to have a negative tone. Some media are considered to prefer to report on the development of cases of infection and death due to COVID-19 rather than educating readers about how to deal with the pandemic. In fact, news is considered capable of changing the perception of its readers and the news media should be more neutral in critical situations. The problem of neutral attitude that exist in the news media is not only about the content of the news it brings, but also includes the user interface and user experience of the news media in presenting news. This study intends to see how the trend of news sentiment regarding COVID-19 in Indonesia in online news media in Indonesia using the lexicon-based method. Then the results of the sentiment analysis that have been carried out will be used in making UI/UX prototypes for online news media websites.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Covid-19, Media Massa, Lexicon-based
Subjects:	T Technology > T Technology (General) > T57-57.97 Applied mathematics. Quantitative methods > T57.5 Data processing Cf. HF5548.125+ Business data processing Operations research. Systems analysis
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Muhammad Rhayhan Akbar
Date Deposited:	24 Jan 2022 07:25
Last Modified:	24 Jan 2022 07:25
URI:	http://repository.unsri.ac.id/id/eprint/62334

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