Analisis Kesalahan Berbahasa dalam Teks Berita Daring pada Platform Radartasik.ID 2023

This study aims to analyze language errors in online news texts on the Radartasik.id platform for the December 2023 edition. Using a qualitative descriptive method, the study identifies and classifies language errors based on aspects of spelling, syntax, phonology, morphology, and semantics. Data were collected through reading and note-taking techniques, then analyzed to identify common error patterns. The results indicate various errors, including spelling, syntax, phonology, and morphology errors. The conclusions of this study are as follows: 1) Errors were found in linguistic levels, comprising 30% spelling errors, 15% syntax errors, 25% phonology errors, and 30% morphology errors. 2). Factors contributing to these frequent errors in the analysis of the news text titled Polres Tasikmalaya, TNI, and Pemkab Tasikmalaya Collaborate to Prevent and Address the Dangers of Stunting include a lack of knowledge regarding proper word usage according to KBBI (the Indonesian Dictionary) and minor issues such as lack of concentration or self-awareness during the writing process. 3) Maintaining language quality and writing standards in news texts is essential to ensure that the information conveyed by the writer is clear, accurate, and effective, as well as to uphold the media's credibility and professionalism.

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Publication Details

Journal
Sinar Dunia Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Published
2024-12-04
DOI
https://doi.org/10.58192/sidu.v3i4.2730
Primary Topic
Edcuational Technology Systems
Type
article
Field-Weighted Citation Impact
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article

Analisis Kesalahan Berbahasa dalam Teks Berita Daring pada Platform Radartasik.ID 2023

Ai Siti Nurjamilah, Farsya Anisa Salsabila, Fitri Nurrochmah, Wafa Luthfiah
Sinar Dunia Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Edcuational Technology Systems
article

Analisis Kesalahan Berbahasa dalam Teks Berita Daring pada Platform Radartasik.ID 2023

Ai Siti Nurjamilah, Farsya Anisa Salsabila, Fitri Nurrochmah, Wafa Luthfiah
article en

Abstract

This study aims to analyze language errors in online news texts on the Radartasik.id platform for the December 2023 edition. Using a qualitative descriptive method, the study identifies and classifies language errors based on aspects of spelling, syntax, phonology, morphology, and semantics. Data were collected through reading and note-taking techniques, then analyzed to identify common error patterns. The results indicate various errors, including spelling, syntax, phonology, and morphology errors. The conclusions of this study are as follows: 1) Errors were found in linguistic levels, comprising 30% spelling errors, 15% syntax errors, 25% phonology errors, and 30% morphology errors. 2). Factors contributing to these frequent errors in the analysis of the news text titled Polres Tasikmalaya, TNI, and Pemkab Tasikmalaya Collaborate to Prevent and Address the Dangers of Stunting include a lack of knowledge regarding proper word usage according to KBBI (the Indonesian Dictionary) and minor issues such as lack of concentration or self-awareness during the writing process. 3) Maintaining language quality and writing standards in news texts is essential to ensure that the information conveyed by the writer is clear, accurate, and effective, as well as to uphold the media's credibility and professionalism.

Sinar Dunia Jurnal Riset Sosial Humaniora dan Ilmu PendidikanVol. 3(4)
Siliwangi University (ID)
Openalex Percentile: Top 73%
Edcuational Technology Systems
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Analisis Kesalahan Berbahasa dalam Teks Berita Daring pada Platform Radartasik.ID 2023 — Ai Siti Nurjamilah, Farsya Anisa Salsabila, et al. · Sinar Dunia Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan (2024) | TGRS Research Map | TGRS