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With the advancement of technology, artificial intelligence tools have begun to emerge in the field of education, such as ChatGPT, which is now used by some teachers at Pondok Modern Darussalam Gontor to compare translations of Indonesian texts into Arabic. Although there are recognized reference books for correcting translations, there are discrepancies between machine translations, including errors in terminology selection and contradictions with the educational context. This raises questions about the accuracy of ChatGPT’s translations, making this study necessary to analyze and evaluate terminological errors. This study aims to analyze the translation errors made by ChatGPT when translating Indonesian articles into Arabic. This study also seeks to evaluate the quality of these translations based on the classification of terminological errors and Ali Al-Qasimi’s theory regarding the evaluation of terminology in terms of acceptance and rejection. This study employs a qualitative approach using content analysis, in which ChatGPT’s translations are compared with those in reference books, with reference to specialized Arabic dictionaries. Subsequently, the data was analyzed to identify error patterns and their acceptance levels within an educational context. The results indicate that translation errors can be classified into four main patterns: phonetic transfer, conceptual errors, semantic shifts, and inaccurate synonyms.

The development of social media as a public communication space has had a significant impact on language use, particularly grammar. This article discusses the use of grammar on social media, which is often caused by the freedom of expression not being balanced with an awareness of proper and correct language. Through a qualitative approach with discourse analysis, this article highlights how deviations from grammatical rules in social media posts reflect a shift in societal attitudes towards linguistic norms. On one hand, linguistic freedom on social media is considered a form of creativity and self-expression. However, on the other hand, it has the potential to weaken language skills that adhere to rules, especially among the younger generation. This article will certainly provide a recommendation on the importance of language literacy as an effort to maintain the quality of public communication amidst the wave of digitalization and the expanding freedom of expression.

This study examines written Indonesian language errors in Diyah Ayu Cahyaningrum's thesis. This research aims to: (1) find errors in linguistic aspects (spelling, diction, and morphology) in Diyah Ayu Cahyaningrum's thesis, (2) obtain a description of the relevance of the analysis of editing linguistic aspects in Diyah Ayu Cahyaningrum's thesis with the editing course in the Indonesian Language and Literature Education Study Program. The subject of this research is the thesis of a student named Diyah Ayu Cahyaningrum, while the object of this research is the analysis of editing the linguistic aspects in the thesis of a student named Diyah Ayu Cahyaningrum. The data in this study are in the form of text excerpts from theses that contain linguistic errors, both in aspects of spelling, diction, sentence structure, and interparagraph coherence. The data collection technique used by the researcher in this research is using documentation technique. This research uses a descriptive qualitative approach that aims to identify, describe, and analyze errors in the linguistic aspects of student thesis writing. The forms of errors in linguistic aspects found in this study include spelling (use of letters, word writing, and punctuation) with 10 errors, diction (nonstandard words) with 4 errors, and morphology (errors in adding the prefix di-) with 4 errors. The total number of errors found is 18 errors.

Language error analysis is a working procedure to identify language use. In this digital age, humans can communicate through applications or what can be called social media. One of them is TikTok. This research was conducted on one of the Liputan 6 news uploads on TikTok. The purpose of this study is to identify the language skills of netizens in commenting. With this research, the aim is to identify language errors used by netizens to comment such as errors in spelling or errors in the use of grammatical structures. The method used is a qualitative method with a descriptive approach, namely by making observations on the comments of one of the uploads and then recording the language errors found as research data that will be further examined.    

An algorithm is an effective method or steps arranged in writing and sequentially containing a collection of commands to solve a problem. Every problem must be resolved logistically, systematically and organized. Programming is a process that allows computers to solve or solve problems in the form of solving steps, as done in programming code languages, so that computers can actually solve problems. A programming algorithm is a systematic collection of steps aimed at solving any computer programming problem. Based on the writing format, the application of the programming algorithm is descriptive, pseudocode, and flowchart. And the basic structure of a programming algorithm can be used in three forms: sequence, selection, and repetition. Algorithm writing is not governed by any particular rules; however, each step of the algorithm must have a clear goal. The purpose of writing this article is to study the functions and various implementations of programming algorithms and their applications in everyday life. To achieve this goal, this article was written using the literature study method, which means reading systematically and in an organized manner books, journals and other sources related to programming algorithms. Programming algorithms have many very important functions. Solving a problem is the main function of a programming algorithm. Algorithms function to simplify programs, make it easier to find errors, and minimize repetitive program writing. Programming algorithms also have implementations and functions for us in everyday life. Examples of algorithms in our daily activities, such as installing applications, sending emails, receiving payments at ATMs, making fried noodles, making cakes, making coffee, riding motorbikes, cooking rice, etc.