Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia
Online news is the news that is widely accessed in this digital era, because it is faster, more accurate, and flexible. At the beginning of 2020, the whole world is facing the Corona or Covid-19 virus. In cyberspace itself, many sites have the Corona theme as their main news. However, it is not unco...
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Institut Agama Islam Negeri (IAIN) Curup
2020-11-01
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doaj-542d598508af446e86ab940698550c242021-07-19T07:08:23ZindInstitut Agama Islam Negeri (IAIN) CurupEstetik2622-18102622-18292020-11-01329310410.29240/estetik.v3i2.1586844Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN IndonesiaAna Farichatun Naschah0Dwi Rahmawati1Triasih Triasih2Institut Agama Islam Negeri SurakartaInstitut Agama Islam Negeri SurakartaInstitut Agama Islam Negeri SurakartaOnline news is the news that is widely accessed in this digital era, because it is faster, more accurate, and flexible. At the beginning of 2020, the whole world is facing the Corona or Covid-19 virus. In cyberspace itself, many sites have the Corona theme as their main news. However, it is not uncommon for language errors to be found in online news, both errors during the typing process, as well as pure errors from the personal error of the author who is not careful in using language rules. This study aims to determine how many types of language errors are in CNN Indonesia's online news about Covid-19 for the March 2020 period. This type of research is a qualitative descriptive study. Data collection techniques in this study used the observation and note technique. Data analysis techniques were carried out starting from the beginning in the form of collection, recording, and classification. Based on the results of this study, four areas of language error were found, namely: (1) spelling (writing italics), (2) morphology (affix me (N) and prefix meN-), (3) syntax (illogical sentences, and non-logical sentences. frugal), (4) diction (connotative meaning and non-standard words). With this research, so that in the future the news presented can provide knowledge to readers by writing well and correctlyhttp://journal.iaincurup.ac.id/index.php/estetik/article/view/1586language errorcovid-19cnn indonesia |
collection |
DOAJ |
language |
Indonesian |
format |
Article |
sources |
DOAJ |
author |
Ana Farichatun Naschah Dwi Rahmawati Triasih Triasih |
spellingShingle |
Ana Farichatun Naschah Dwi Rahmawati Triasih Triasih Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia Estetik language error covid-19 cnn indonesia |
author_facet |
Ana Farichatun Naschah Dwi Rahmawati Triasih Triasih |
author_sort |
Ana Farichatun Naschah |
title |
Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia |
title_short |
Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia |
title_full |
Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia |
title_fullStr |
Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia |
title_full_unstemmed |
Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia |
title_sort |
kesalahan berbahasa pada teks berita covid-19 di media daring cnn indonesia |
publisher |
Institut Agama Islam Negeri (IAIN) Curup |
series |
Estetik |
issn |
2622-1810 2622-1829 |
publishDate |
2020-11-01 |
description |
Online news is the news that is widely accessed in this digital era, because it is faster, more accurate, and flexible. At the beginning of 2020, the whole world is facing the Corona or Covid-19 virus. In cyberspace itself, many sites have the Corona theme as their main news. However, it is not uncommon for language errors to be found in online news, both errors during the typing process, as well as pure errors from the personal error of the author who is not careful in using language rules. This study aims to determine how many types of language errors are in CNN Indonesia's online news about Covid-19 for the March 2020 period. This type of research is a qualitative descriptive study. Data collection techniques in this study used the observation and note technique. Data analysis techniques were carried out starting from the beginning in the form of collection, recording, and classification. Based on the results of this study, four areas of language error were found, namely: (1) spelling (writing italics), (2) morphology (affix me (N) and prefix meN-), (3) syntax (illogical sentences, and non-logical sentences. frugal), (4) diction (connotative meaning and non-standard words). With this research, so that in the future the news presented can provide knowledge to readers by writing well and correctly |
topic |
language error covid-19 cnn indonesia |
url |
http://journal.iaincurup.ac.id/index.php/estetik/article/view/1586 |
work_keys_str_mv |
AT anafarichatunnaschah kesalahanberbahasapadateksberitacovid19dimediadaringcnnindonesia AT dwirahmawati kesalahanberbahasapadateksberitacovid19dimediadaringcnnindonesia AT triasihtriasih kesalahanberbahasapadateksberitacovid19dimediadaringcnnindonesia |
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