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This study analyzes the sociolinguistic phenomena of code-switching and code-mixing in the academic context of students in Pekalongan, Central Java. As a region with diverse backgrounds dominated by the Pekalongan dialect (Ngapak Javanese), interactions between students create space for complex language dynamics. This study aims to identify variations, roles, and factors that cause code-switching and code-mixing in student interactions. The method applied is descriptive qualitative with data collection through inactive participant observation, recording, and in-depth interviews at various universities in Pekalongan. Data analysis is carried out through the steps of data reduction, data presentation, and verification using triangulation techniques. The results show that the application of language codes is divided into two categories: an internal category that includes Indonesian and regional languages (Javanese), and an external category that includes foreign languages (English or Arabic). Code-mixing can be found at the word, phrase, and clause levels. The main factors that drive this phenomenon include participants, conversation themes, situational circumstances, and the purpose of communication in building solidarity among group members (ingroup).  The Pekalongan dialect plays a crucial role as a means of communication to build closeness and demonstrate local identity, amidst the need to use formal language on campus. This research concludes that code-switching and code-mixing are not merely linguistic phenomena, but also ways in which students adapt socially to balance their cultural identity with academic demands.  

This quasi-experimental study examines the effectiveness of Artificial Intelligence (AI)-assisted learning in enhancing critical thinking skills among undergraduate history students. The study involved 60 students divided into experimental and control groups. The experimental group received AI-supported instruction integrating adaptive learning modules, scaffolded source-analysis prompts, and guided argumentative discussions facilitated by conversational AI tools, while the control group followed conventional lecture-based instruction. Data were collected using a validated critical thinking test, classroom observation protocols, and semi-structured interviews. Quantitative data were analyzed using paired and independent sample t-tests, while qualitative data were examined through Miles and Huberman’s interactive analysis model. Results indicate statistically significant improvements in critical thinking scores in the experimental group compared to the control group. Thematic findings reveal enhanced sourcing, contextualization, corroboration, and evidence-based argumentation skills. However, minor risks of over-reliance on AI highlight the need for instructional scaffolding and ethical guidance. The findings suggest that AI can function as a cognitive scaffold that strengthens historical thinking and metacognitive awareness when implemented within a structured pedagogical framework.

Podcasts as digital communication media have continued to grow and have become an important platform for delivering ideas, opinions, and public education. This study aims to analyze locutionary, illocutionary, and perlocutionary speech acts in the YouTube content Podcast Warung Kopi (PWK) entitled “Mental Dr. Tirta Turun, Gara-Gara Video Marah-Marah Dilihat dan Ditiru Sama Anaknya.” This research employs a descriptive qualitative method using listening and note-taking techniques to examine the utterances produced by the host and the guest speaker. The data consist of transcribed conversations that are classified based on Austin’s speech act theory. The findings reveal 17 speech act data, consisting of 4 locutionary acts, 9 illocutionary acts including assertive, directive, expressive, and commissive types, and 4 perlocutionary acts. These results indicate that podcasts function not only as entertainment and information media but also as effective tools in influencing listeners’ attitudes, raising awareness, and shaping behavioral responses, particularly in relation to health and social issues.

This study analyzes the sociolinguistic phenomena of code-switching and code-mixing in the academic context of students in Pekalongan, Central Java. As a region with diverse backgrounds dominated by the Pekalongan dialect (Ngapak Javanese), interactions between students create space for complex language dynamics. This study aims to identify variations, roles, and factors that cause code-switching and code-mixing in student interactions. The method applied is descriptive qualitative with data collection through inactive participant observation, recording, and in-depth interviews at various universities in Pekalongan. Data analysis is carried out through the steps of data reduction, data presentation, and verification using triangulation techniques. The results show that the application of language codes is divided into two categories: an internal category that includes Indonesian and regional languages (Javanese), and an external category that includes foreign languages (English or Arabic). Code-mixing can be found at the word, phrase, and clause levels. The main factors that drive this phenomenon include participants, conversation themes, situational circumstances, and the purpose of communication in building solidarity among group members (ingroup).  The Pekalongan dialect plays a crucial role as a means of communication to build closeness and demonstrate local identity, amidst the need to use formal language on campus. This research concludes that code-switching and code-mixing are not merely linguistic phenomena, but also ways in which students adapt socially to balance their cultural identity with academic demands.  

This study aims to describe teachers' strategies in developing early childhood language skills at the AS-SA'ADAH Early Childhood Education Centre. It is known that strategies are importantThis appears to be part of a larger context, likely related to educational development teachers must have ideas on how to design and implement these strategies using a descriptive qualitative approach with data collected through direct observation of learning activities, interviews, and documentation. The analysis was conducted using the Miles and Huberman model, which includes the stages of reduction, presentation, and conclusion drawing. The results of the study show that teachers develop children's language skills through storytelling, interactive conversations, singing, and the use of self-made pictures and simple teaching aids. Based on interviews, these strategies not only enrich the vocabulary of early childhood language but also encourage children to be more active in speaking and interacting with their peers and teachers. Language learning associated with educational play activities has been proven to be more interesting for children in the learning process so that it seems natural, because most children tend to get bored with monotonous learning processes. Thus, children's language skills can grow and develop optimally if a teacher is creative, patient, and communicative learning environment.

Sarcasm is a literary device and one of the most expressive forms of figurative language, often used to convey humor, criticism, or emotional tension in both daily conversation and literature. This study explores the use of sarcasm in William Shakespeare‟s Much Ado About Nothing by applying Elizabeth Camp‟s (2011) typology, which classifies sarcasm into four types: propositional, lexical, illocutionary, and like-prefixed sarcasm. Using a qualitative descriptive method, the researchers collected all sarcastic utterances from the play, classified them according to Camp‟s framework, and analyzed their pragmatic functions in the dramatic context. The findings reveal a total of 50 sarcastic utterances, with propositional sarcasm being the most frequent (42%), followed by illocutionary sarcasm (28%), lexical sarcasm (24%), and like-prefixed sarcasm (6%). These results indicate that sarcasm serves as both a comedic and dramatic device, shaping character interactions, driving conflicts, and reinforcing Elizabethan cultural norms. Beatrice and Benedick‟s witty verbal duels exemplify how sarcasm fosters humor and intimacy, while Claudio‟s sarcasm highlights themes of honor and social tension. Overall, the study demonstrates that sarcasm in Shakespeare‟s play is not merely humorous banter but a sophisticated rhetorical strategy that enhances characterization, thematic depth, and audience engagement.

Sarcasm is a literary device and one of the most expressive forms of figurative language, often used to convey humor, criticism, or emotional tension in both daily conversation and literature. This study explores the use of sarcasm in William Shakespeare‟s Much Ado About Nothing by applying Elizabeth Camp‟s (2011) typology, which classifies sarcasm into four types: propositional, lexical, illocutionary, and like-prefixed sarcasm. Using a qualitative descriptive method, the researchers collected all sarcastic utterances from the play, classified them according to Camp‟s framework, and analyzed their pragmatic functions in the dramatic context. The findings reveal a total of 50 sarcastic utterances, with propositional sarcasm being the most frequent (42%), followed by illocutionary sarcasm (28%), lexical sarcasm (24%), and like-prefixed sarcasm (6%). These results indicate that sarcasm serves as both a comedic and dramatic device, shaping character interactions, driving conflicts, and reinforcing Elizabethan cultural norms. Beatrice and Benedick‟s witty verbal duels exemplify how sarcasm fosters humor and intimacy, while Claudio‟s sarcasm highlights themes of honor and social tension. Overall, the study demonstrates that sarcasm in Shakespeare‟s play is not merely humorous banter but a sophisticated rhetorical strategy that enhances characterization, thematic depth, and audience engagement.

Abstract: The rapid diffusion of Generative Artificial Intelligence (AI) has intensified public debate regarding its benefits, risks, and societal implications. This study investigates public sentiment and thematic structures surrounding Generative AI by analyzing Twitter discourse as a representation of large-scale, real-time public perception. The research addresses two main problems: how public sentiment toward Generative AI is distributed and what dominant themes shape this perception. Accordingly, the objective is to map both emotional polarity and thematic narratives embedded in social media conversations. A computational mixed-methods approach was employed using a dataset of 12,470 tweets collected on 17 December 2024. Sentiment classification was conducted using a transformer-based DistilBERT model, while semantic representations were generated with Sentence-BERT. Topic modeling was performed using BERTopic, integrating HDBSCAN clustering and class-based TF-IDF to extract coherent and interpretable topics. Human-in-the-loop validation supported the interpretive robustness of topic labeling. The findings reveal that public sentiment toward Generative AI is predominantly positive (41.8%), particularly in relation to productivity enhancement, education, and creative applications. Neutral sentiment (31.4%) reflects informational discourse, while negative sentiment (26.8%) centers on ethical concerns, privacy risks, misinformation, and AI hallucinations. Seven dominant topics were identified, with clear topic–sentiment alignment showing optimism in utility-driven themes and skepticism in ethics- and risk-related discussions. In conclusion, public perception of Generative AI is dualistic—characterized by strong enthusiasm alongside persistent caution. These results provide empirical insights for AI governance, responsible innovation, and future research on socio-technical impacts of Generative AI. *    

This study aims to explore and improve the quality of Social Studies (IPS) instruction at SD Negeri 04 Palembang by integrating interactive learning media and collaborative teaching strategies, especially in the “Map Layout” topic for fifth-grade students. Using a qualitative descriptive approach, the researchers gathered data through document analysis, conversations with teachers and students, as well as direct observation of learning activities. The findings show that the use of visual learning tools, cooperative group work, and contextual tasks related to students’ everyday environments helps make Social Studies lessons more engaging and meaningful. Simple interactive materials such as illustrated school layouts were shown to increase students’ participation and strengthen their understanding of spatial concepts. Overall, the integration of interactive media with collaborative learning approaches contributes to a more dynamic classroom atmosphere, supports deeper conceptual comprehension, and enhances students’ motivation to learn. This approach demonstrates strong potential for improving IPS learning outcomes in elementary education.  

Fifth grade students' consistently poor reading comprehension abilities, which impeded their overall academic development and participation in language acquisition, served as the driving force for this study. Using a comic assisted problem based learning (PBL) model, the study, which involved 39 students at SDN Purwamekar, aimed to improve learning activities in order to increase teacher and student participation and, eventually, improve fifth grade students' reading comprehension skills. By using comic strips to illustrate issues, this creative method made learning more engaging and accessible for younger students. In order to enable iterative improvements, the study was conducted over two cycles using classroom action research technique. Only 25% of students (eight people) successfully completed the learning objectives in the first cycle, according to preliminary findings, while 75% (24 students) failed, suggesting difficulties with student motivation and comprehension. This led to changes like improving comic material and fostering more cooperative conversations. Significant progress was seen by the second cycle, with 30 students meeting the completion criteria and only four falling short of the objectives, indicating improved engagement and skill growth. In conclusion, the comic assisted PBL model effectively boosted reading comprehension skills among fifth grade students. The research underscores the value of integrating visual aids and problem solving in education, offering practical insights for teachers to create more dynamic classrooms. Nonetheless, factors like time constraints and resource availability warrant further exploration to ensure sustainable implementation in diverse educational settings.

Educational inequality in Indonesia remains a significant challenge, as reflected in the low proportion of citizens with higher education degrees and the predominance of high school graduates as the highest educational attainment. University students, as part of the educated minority, hold a moral responsibility to redistribute the academic privilege they possess to the broader community. This article presents a report on a Community Service Program (PKM) titled It’s English Buddy, an online English-teaching initiative launched by students of the International Relations Study Program at UPN Veteran Jakarta. The program offers individual and group English conversation sessions at affordable prices, adopting a non-distributing profit approach to ensure operational sustainability. Supported by literature on the effectiveness of online learning in enhancing academic performance through flexibility and accessibility, the program has successfully reached participants of various ages and backgrounds. The results show that most participants are women and were recruited primarily through personal networks, highlighting the importance of public communication strategies and trust-building. Overall, It’s English Buddy demonstrates the potential of student-led grassroots educational initiatives as a meaningful contribution to expanding learning opportunities within society.

This study examines the phenomenon of code-mixing among Generation Z in Banjarmasin, particularly in The comments section of TikTok content, which has become a primary digital expression space for young People. The aim of this study was to identify the forms, patterns, and social and cultural factors underlying This linguistic practice. Using descriptive qualitative methods with listening and note-taking techniques, Information was collected from comments on two TikTok posts on the accounts @BudRab and @Fazarbungaz. The findings indicate that the code-mixing that occurred was dominated by the insertion Of Banjarese elements into Indonesian (Banjar-Indonesian code-mixing), as well as a mixture of Banjarese, Indonesian, and English (Outer Code-mixing and Mixed Code-mixing). The forms of code-mixing found Included the insertion of Banjarese words, phrases, and lexical items such as kd (kada), makai, and mun. An analysis of the functions of code-mixing shows that this practice has a dual role: referential (for specific Local contexts), directive (to guide conversations), emotive/expressive (to indicate emotional closeness, for Example, longitude), and most importantly, as a marker of digital identity and cultural solidarity among Banjar speakers in the digital realm. This phenomenon confirms that social media serves as a new, flexible and essential space for the Banjar language to survive and negotiate with global and national languages. This study contributes to sociolinguistics by mapping the dynamics of language evolution among Gen Z in A digital context, highlighting the creative and social aspects of code-mixing.

The rise of social media has made TikTok one of the platforms where public discussions quickly develop, especially when dealing with issues involving public figures. Cases of infidelity often receive strong reactions, and many users express their emotions through comments that spread widely and shape public conversation. This study aims to examine the emotional expressions of netizens in responding to an infidelity case involving a public figure on TikTok, particulary on the account @nyatamedia. A descritive qualitative approach was applied, using documentation and content analysis to identify the forms and meanings of netizen comments contain a range of emotions such as anger, dissapointment, disgust, empathy, sadness, fear, sarcasm, and social criticism. Anger and dissapointment show rejaction of the infidelity, while empathy and sadness reflect concern for the affected party. The comments contain personal views and criticism related to social conditions, especially those connected to public perceptions of marriage. Based on these findings, social media appears to serve as a space where people express their feelings and opinions about events that attract public attention.

This research intends to examine conflict resolution and collaboration between units in the Department of Education and Culture of Sidoarjo Regency while carrying out regional priority programs. The research background arises from the increasing intricacy of bureaucracy and the overlapping jurisdictions among divisions, which impact the efficiency of implementing educational programs. This research utilizes a qualitative case study method, gathering data through comprehensive interviews, participatory observation, and analysis of institutional documents. Informants consist of structural officials, operational staff, and external partners like school leaders and education inspectors. The results indicate that conflicts can be functional or dysfunctional; functional conflicts encourage creativity in problem-solving, whereas dysfunctional ones obstruct cross-sector collaboration. Collaboration between units is successful on a technical basis but still lacks strength in the stages of planning and policy assessment. The conversation emphasizes that transformational leadership, transparent communication, and teamwork are vital for minimizing conflicts and improving coordination. In summary, the success of implementing regional priority programs in the Sidoarjo Education and Culture Office significantly relies on flexible conflict resolution and inter-sector cooperation founded on teamwork and openness.

This research seeks to examine the management of transparent and accountable civil service transfers and promotions in the Formation and Mutation Division of Pasuruan City's Civil Service Agency (BKD). The study is based on the significance of the merit system in upholding bureaucratic professionalism, since the procedures for transfer and promotion frequently influence equity and organizational effectiveness. Employing a qualitative case study method, data were gathered via in-depth interviews, participatory observations, and document examination. The results show that the transfer and promotion systems in BKD Pasuruan have progressed towards transparency via data-driven management, yet obstacles persist in communicating policies and involving employees in performance evaluations. Accountability has been enhanced via performance-driven assessments incorporated with the e-performance system and job analysis. The conversation emphasizes that the effectiveness of governance practices is affected by organizational flexibility, engaged leadership, and the public service motivation of civil servants. This research determines that the interplay of data-based policies, performance assessment frameworks, and a transparent bureaucratic environment establishes the basis for creating a just, efficient, and sustainable civil service governance model.

Pindang tetel is a traditional Pekalongan culinary specialty born from the creativity of the community in utilizing limited food ingredients, especially beef offal, which in the past was synonymous with lower-class consumption. This culinary dish not only serves as a daily meal, but also represents historical, social, and symbolic values ​​that reflect how Javanese people respond to their economic conditions and the dynamics of their lives. This study aims to examine the cultural meaning, local identity values, and the transformation process of pindang tetel in a modern context, especially when the dish is marketed in the tourist area of ​​Lake Al Kautsar, Kayugeritan. The study used a qualitative approach with a mini-ethnography method through direct observation, in-depth interviews with sellers, and informal conversations with consumers. The results show that pindang tetel has undergone adaptations in its presentation without losing its basic character, so it remains recognized as a traditional culinary dish. In the context of local tourism, pindang tetel serves as a representation of Pekalongan's cultural identity and a medium for cultural introduction for tourists. These findings confirm that traditional culinary plays an important role in shaping collective memory, strengthening local identity, and providing sustainable symbolic and social value in addition to economic value.

This community service program aims to enhance the smart communication skills of young learners at SD Muhammadiyah 5 and 11 Banjarmasin through structured educational socialization and mentoring activities. The program was initiated in response to the low level of awareness among elementary school students regarding the importance of effective communication in supporting academic development and interpersonal relationships. The implementation consisted of several stages, including interactive socialization sessions, practical communication exercises, group discussions, and ice-breaking activities designed to build confidence and engagement. Evaluation results showed a notable improvement in students’ speaking, listening, and peer interaction abilities. Students demonstrated clearer articulation, better turn-taking in conversations, and increased willingness to participate in class activities. In addition, positive behavioral changes were observed, including improved self-confidence and more respectful communication patterns. These outcomes indicate that the smart communication-based character education approach is effective in strengthening students’ social and emotional development, particularly in early education environments. Overall, this program proves that targeted communication training can play a crucial role in fostering essential life skills among elementary school students.

This community service activity was conducted in a Christian ministry institution located in Makassar City, South Sulawesi. The Student Creativity Program (PKM) was motivated by the reality that many people in Makassar have not yet known or believed in Isa Al-Masih (Jesus Christ )as Lord and Savior. As a city with a predominantly non-Christian population, evangelism in Makassar needs to be carried out contextually, wisely, and lovingly, without offending the beliefs of the surrounding community. The “PI 3 Saja” method (an acronym for Evangelism anytime, anywhere, and to anyone) serves as a relevant and effective strategy for reaching out to society. Through the 5P approach (Pertalian—Relationship, Peralihan—Transition, Penginsafan—Conviction, Pengabaran—Proclamation, and Penyelesaian—Commitment), this method emphasizes the importance of friendship, empathy, and naturally sharing the Gospel in everyday conversations. The purpose of this activity was to train participants in the institution to become contextual evangelists who can share the Good News without coercion, but rather through exemplary living and genuine friendship with others. The training and field practice results showed positive responses from the community, the formation of small discipleship groups (house churches), and an increased sense of courage and sensitivity among participants in sharing the Gospel in non-Christian environments. This activity demonstrates that evangelism can remain relevant and effective when it prioritizes love, relationships, and sensitivity to local culture.

This study investigates students’ perceptions of Smalltalk2Me, an artificial intelligence (AI)-powered conversational assistant designed to improve speaking skills in classroom learning. The main objective of this research is to explore how students perceive the tool’s effectiveness, usefulness, interactivity, and overall learning experience when using it for speaking practice. The research employed a qualitative descriptive method, with data collected through semi-structured interviews involving students who had used Smalltalk2Me as part of their English-speaking activities. The interview data were analyzed thematically to identify emerging patterns related to engagement, motivation, and skill development. The findings reveal that students view Smalltalk2Me as an effective and accessible tool that enhances speaking fluency and confidence since it allows practice anytime and anywhere. Students also appreciate its realistic conversation simulations and personalized feedback, which help them recognize pronunciation errors, improve vocabulary use, and refine sentence structure. Additionally, the AI assistant creates a supportive and low-anxiety learning environment, making learners more comfortable expressing themselves in English. Overall, the study concludes that Smalltalk2Me serves as a valuable supplementary tool for improving students’ speaking competence and fostering autonomous learning in technology-enhanced language classrooms.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.