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This study aims to analyze news texts on the online news portal IDN Times. In addition, the study aims to identify various syntactic errors in the news texts on the portal, including non-standard sentence structures, the use of loanwords, ambiguous sentences, inappropriate diction, and low word efficiency, thereby providing an overview of the language quality and presentation of information in the online media. This research employs a qualitative descriptive approach, with a syntactic framework as the theoretical foundation. The researcher obtained data by reading several relevant references and recording information that could be used as data. Therefore, the reading and note-taking technique was used in this study. The data in this study consisted of news texts from the online news portal IDN Times, edition 2025. The data analysis method employed is the distributional method. The researcher analyzed the texts by identifying sentences that did not conform to syntactic rules and assessed the suitability of the texts as proper and accurate news texts. The results revealed various syntactic errors, including errors in sentence structure, diction, punctuation, sentence effectiveness, loanword usage, and conjunction usage. How ever, the findings indicate that although some syntactic errors were found, the news texts on the portal generally have a relatively good and coherent structure. Therefore, the texts can provide valuable insights into language use in the context of online media and serve as sources of information for studying language quality and effective communication in digital news writing.

Students of vocational high schools are required to write an internship report as a form of accountability for completing their industrial training. However, various language errors are still found in students’ PKL reports. This study aims to describe and analyze morphological errors in the PKL reports of vocational high school students majoring in Electronics Engineering. The study employed a descriptive qualitative approach using document analysis. A total of 223 PKL reports were written by all students of SMK Negeri 3 Yogyakarta in 2025. The research data consisted of 25 PKL reports from students of the Electronics Engineering major selected through purposive sampling. Data analysis was carried out through the stages of identification, classification, description, quantification, and interpretation of morphological errors, with data validity ensured through theoretical triangulation. The results show that 286 morphological errors were identified, consisting of prefix errors (96), suffix errors (52), confix errors (41), reduplication errors (28), compound word errors (34), and base-form errors (35). Prefix errors were the most dominant type, accounting for 33.6% of all errors. These findings indicate that students still experience difficulties in applying affixation rules and forming standard words in formal written language. Such errors are influenced by interference from spoken language and the technical language used in the workplace. This study highlights the importance of structured and contextual morphology instruction to improve the quality of vocational students’ PKL report writing.