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This study aims to identify and explain language errors in a scientific journal article entitled "Analysis of Language Errors in Expository Texts on the Digital Platform 'Ruangguru', August 2024 Edition as a Reading Resource for High School Students," published in the Semantik Journal, Issue 3, Number 4. The method applied in this study is descriptive qualitative using a literature study approach. For data collection, observation and recording techniques were used, while data analysis was carried out using the content analysis method. The findings of this study revealed 27 language errors divided into five categories, including 12 spelling errors (typos) (44.4%), 5 word choice errors (18.5%), 4 punctuation errors (14.8%), as well as ineffective sentence structure errors and errors in the bibliography (3 each) (11.1%). The causes of these errors include minimal editing process, inadequate understanding of PUEBI (Indonesian Standards for Ethics and Education), and inaccuracies from the author. This study shows that articles analyzing language errors still contain errors, so there is a need for improvements in the quality of editing by the author and the journal's editorial team.

This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.

This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.

This research is driven by the urgency of maintaining the quality of the Indonesian language in the realm of online journalism, particularly on major media platforms such as CNN Indonesia. Online media plays a central role as the primary source of information, but the speed of publication often encounters linguistic errors that have the potential to damage credibility and lead to misinterpretation among readers. The focus of the study on syntactic errors is crucial because errors in sentence structure, diction, and conjunctions directly affect the meaning and effectiveness of communication. This study aims to analyze and describe the forms of syntactic errors (including sentence pattern errors, non-standard diction, and conjunction redundancy) and offer recommendations for improvement based on standard Indonesian language rules. The method used is a qualitative descriptive approach with a syntactic approach. Data in the form of linguistic units at the phrase, clause, and sentence levels from all CNN Indonesia news texts for the period of August 2025, collected using the Listen and Note Technique. The findings are anticipated to show a dominance of sentence ineffectiveness, incorrect use of conjunctions, and temporally illogical diction errors. This research is expected to contribute as a practical guide for editors and news writers to improve the quality of editing, while also supporting literacy efforts and the use of good and correct Indonesian in the digital public space.

This study analyzes efforts to develop and foster the Indonesian language through the use of standard and nonstandard words at MTS Bahlul Ulum. The increasing use of nonstandard words among students, influenced by social media and cross-regional interactions, has led to a decline in the awareness of using standard language in academic contexts. A descriptive qualitative approach was used with teachers and students of Class VII H at MTS Bahlul Ulum during the first semester of the 2025/2026 academic year. Data were collected through observation, interviews, and documentation of Student Worksheet (LKPD) results containing 50 questions on standard and nonstandard words. The findings showed that before the language development program, students had an average score of 62.4 in understanding standard and nonstandard words, with errors in commonly used informal words like vidio (standard: video) and antri (standard: antre). After the program, which included class discussions, conversation simulations, and interactive worksheets, the average score increased to 78.6, with 82% of students scoring above 78. The error rate decreased from 45% to 18%, indicating that interactive and contextual language development is effective. Continuous training and curriculum integration are essential to strengthening the use of standard language in the digital era.

Currently, the skills needed to advance a tourist area are influenced by the availability of human resources who can speak English and understand local culture well. Unfortunately, improving English proficiency remains a challenge. Additionally, another issue appears as the Alpha generation is exposed to a great deal of English-language social media content; however, this does not appear to be directly correlated with an improvement in their English proficiency. It appears that the English Club instructors at SMA Fons Vitae 1 Jakarta were also aware of these two problems. Therefore, on September 11, 2025, an ABDIMAS activity entitled "Giving and Asking for Direction" training was held with the production of a short film. This activity was attended by 15 participants, 10 boys and 5 girls, a combination of students from grades 10 and 11. The results of the training showed that the pre-production process of making a short film provided a space for participants to recognize and explore Indonesian cultural heritage. Furthermore, the production process of making a short film made participants not afraid of speaking English. In the post-production process, participants can also edit parts of the video that are less than satisfactory because they can re-record if there are errors in pronunciation and grammar.