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This study examines the phenomena of code-switching and code-mixing in the digital interactions of Indonesian Generation Z on Instagram. Using a sociolinguistic approach with virtual ethnography, data were collected from 1,200 posts and comments published between January and June 2024, complemented by in-depth interviews to explore the factors influencing language choice. The findings reveal that code-switching occurred in 68.4% of the data, with intrasentential switching as the dominant pattern (47.3%), followed by intersentential switching (38.6%) and external switching (14.1%), indicating Generation Z’s high multilingual competence. Code-mixing appeared in 82.1% of the data, primarily through the insertion of English vocabulary into Indonesian (63.2%), followed by regional languages such as Javanese, Sundanese, and Betawi (27.1%), particularly in nostalgic, culinary, and emotionally expressive content. The main factors influencing these practices include social identity, community affiliation, communicative efficiency, emotional expression, and audience context. The study concludes that code-switching and code-mixing function as deliberate communicative strategies that reflect Generation Z’s hybrid identity in digital spaces, offering important implications for digital sociolinguistics, language education, language policy, and digital content development.

This study aims to examine the utilization of classification codes in the sorting of records and non-records. The sorting of records and non-records is an important stage in information management. However, in practice, it is often not carried out systematically, resulting in the mixing of records and non-records with different values. This condition leads to disorganized records management and difficulties in information retrieval. This study employs a descriptive qualitative method with a library research approach. The data were obtained from scientific journals, books, and relevant regulations related to records management. Data collection was conducted through literature review, while data analysis was carried out descriptively through data grouping and interpretation. The results show that classification codes are used as a basis for distinguishing and grouping records and non-records according to organizational functions and activities, thereby supporting better organization in the sorting process. The implication of this study indicates that the use of classification codes supports more structured and systematic records management.

This study aims to identify and analyze Ramadan-specific lexicons used by Indonesian Muslim communities on social media, as well as to describe the cultural meanings embedded within them. The study employs an anthropolinguistic approach with a descriptive qualitative method. Data were collected through observation and note-taking techniques from three social media platforms X (Twitter), TikTok, and Instagram during the Ramadan 1446 H/2025 period. A total of 32 Ramadan-specific lexicons were identified and classified into three categories: greetings and expressions (12 items), worship-related lexicons (10 items), and culinary lexicons (10 items). The findings reveal that Ramadan lexicons circulating on social media reflect a blend of Islamic religious values, local Indonesian cultural traditions, and the influence of digital globalization. The hybrid nature of the language used — including code-mixing between Indonesian, Arabic, and English — illustrates the dynamic cultural identity of contemporary Indonesian Muslims. Ultimately, this study affirms that language is a living mirror of culture, one that continues to evolve alongside social and technological change.

The progress of the era accompanying the growth of Generation Z has made it easier and faster for Generation Z to socialize. In this digital era, people are likely to use Indonesian that does not conform to the rules. Sometimes, code-mixing occurs among Generation Z. This study was conducted to determine whether the digital era really has a significant influence on the language competence of Generation Z. This study, which uses a quantitative descriptive method, is expected to be one of many studies discussing the language skills of Generation Z. To that end, this study distributed questionnaires to 108 people from Generation Z. The results show that the level of influence of the digital era is moderate, while the language competence of the respondents is quite good, with an average score of 28.04. These findings indicate that even though Generation Z actively uses digital media and is often exposed to non-standard language on social media, their Indonesian language skills are still fairly well maintained. Therefore, the digital era does not significantly reduce language competence, although good language awareness is still necessary to prevent the quality of Indonesian from falling.

In today's digital era, social media has become an integral part of everyday life, especially for younger generations such as students. Platforms like Instagram, TikTok, Twitter, and Facebook facilitate fast and interactive communication, but often encourage the use of informal language such as abbreviations or emojis. This contrasts with the demands of the academic world. This study aims to analyze the influence of social media use on students' language styles in the academic world. The research method used was quantitative, namely observation. Observations were conducted to determine students' communication patterns on digital platforms (such as class WhatsApp group chats and comments on social media). The results showed a strong tendency to use slang, non-standard abbreviations, and code-mixing, carried over from social media habits into formal academic contexts. This phenomenon has contributed to the erosion of the boundaries between informal and formal language styles among students. This study concludes the need to strengthen formal language literacy to maintain professional communication in the academic world.

Data was collected through the listening method with the recording technique, then analyzed using mixed code theory in sociolinguistic studies. Data was analyzed using mixed code theory in sociolinguistic studies to reveal language usage patterns in the context of digital media. The research results show that code mixing serves as a multidimensional communicative strategy. First, mixing code is used to express emotions more effectively and authentically. Second, it serves to clarify the meaning of psychological concepts that do not have the right equivalent in Indonesian. Third, build closeness with an audience that has a bilingual background. Fourth, constructing a bilingual identity of speakers that reflects the social reality of Indonesian urban society. This research contributes to the understanding of the language practice of the Indonesian bilingual community in the digital era, especially in the delivery of personal and sensitive issues such as mental health, which requires a flexible and relatable communication strategy for millennial audiences and generation Z.