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This research documents and analyzes the variations of banana (gedhang) names in the Southern Brebes dialect of the Javanese language from a sociolinguistic viewpoint. The study explores how language reflects social and cultural realities within a local community. Indonesia’s vast cultural and linguistic diversity makes the study of regional registers essential for understanding how people use language to represent their environment. The Southern Brebes area shows a wide range of banana varieties, each identified by distinct local names that convey information about their physical traits, uses, and cultural significance. These linguistic variations also have educational potential, particularly as supplementary materials for courses such as Pharmaceutical Botany. The research further examines social, cultural, and environmental factors shaping the creation and usage of these names. Findings are expected to enhance understanding of the Javanese lexical system especially the Southern Brebes dialect and to highlight the deep connection between language, culture, and identity. Ultimately, this study contributes to the preservation of local linguistic and cultural heritage.

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 research aims to analyze how gender and culture are represented in the Grade VIII Indonesian language textbook of the Merdeka Curriculum. The focus is on various aspects of gender representation, such as the depiction of characters, their roles, activities, attributes, social status, gender equality, and stereotypes related to gender. Additionally, the study explores cultural representation, which encompasses cultural forms, diversity, local traditions, context, ways of presentation, and the cultural values expressed in the textbook's texts and illustrations. The methodology employed is descriptive qualitative research with a content analysis framework. Data were gathered through documenting and note-taking methods on the content of the textbook, followed by an analysis process that includes identification, classification, interpretation, and drawing conclusions. Findings indicate that the gender representation in the textbook predominantly portrays men as leading figures in public roles, leadership, and decision-making, whereas women are mainly shown in nurturing, domestic, and supportive capacities. On the other hand, the cultural representation illustrates the variety of Indonesian culture by showcasing regional customs, languages, art forms, traditional cuisine, practices, and societal norms. The study concludes that although the textbook presents cultural diversity adequately, there is a need for improvement in gender representation balance to better reflect equality values in the educational experience.

Social media has become a primary means of communication for adolescents in the digital era, yet excessive use can create complex impacts on their academic, social, and psychological well-being. The positive effects include expanding cross-regional friendships, improving communication skills, strengthening social relationships, and increasing learning motivation through peer interaction and support. Conversely, the negative effects include declining academic performance due to reduced focus, neglect of responsibilities, weakened language skills caused by the dominance of informal language, a higher risk of digital crimes such as fraud and identity theft, as well as mental-health issues including anxiety, depression, social-comparison pressure, and cyberbullying. To minimize these risks, preventive efforts are needed, such as enhancing digital literacy for both adolescents and parents, promoting ethical and safe online behavior, regulating screen time, strengthening parental guidance, implementing digital-wellness policies in schools, providing counseling services, developing more youth-friendly platforms, and enforcing government regulations on online safety. This study emphasizes that the wise, safe, and productive use of social media can only be achieved through collaborative efforts involving adolescents, families, schools, communities, platform providers, and the government.

Indonesian culinary comments on social media platforms such as Instagram are characterized by informal spelling, regional language mixing, slang expressions, and emojis, posing substantial challenges for automated sentiment classification. While IndoBERT has demonstrated strong performance across Indonesian natural language processing tasks, the contribution of individual preprocessing components to fine-tuning performance on informal text remains underexplored, particularly in the culinary domain. This study addresses this gap by conducting a systematic preprocessing ablation study on IndoBERT-Base fine-tuning for Indonesian culinary sentiment classification, accompanied by a comparative evaluation against Naive Bayes with TF-IDF, SVM with TF-IDF, and BiLSTM as representative baselines. A dataset of 3,500 manually labeled Instagram culinary comments across three sentiment classes was used, with a stratified 80/10/10 split. Six preprocessing variants were evaluated under identical experimental conditions to isolate the contribution of each component. The results show that slang normalization is the most impactful single preprocessing step, yielding a macro F1-score gain of +0.0609 over the no-preprocessing baseline, while the full pipeline achieves an accuracy of 0.8800 and a macro F1-score of 0.8465. IndoBERT-Base with the full pipeline outperforms all baselines across all evaluation metrics. Per-class analysis reveals that the negative class achieves the lowest F1-score of 0.7600, with sarcastic expressions and Banjar regional vocabulary identified as primary sources of misclassification. These findings indicate that preprocessing decisions have a measurable and non-uniform effect on IndoBERT fine-tuning performance. In this study, slang normalization provides the most substantial individual contribution in bridging the vocabulary gap between informal user-generated text and the model’s pre-training distribution.

Sentiment analysis for Indonesian regional languages faces two persistent challenges: labeled training data is extremely limited for most regional varieties, and transformer models pre-trained on Bahasa Indonesia do not generalize reliably to languages with substantially different morphological structures. Prior work on the NusaX benchmark has primarily relied on direct fine-tuning, treating each regional language independently and without exploiting linguistic proximity between related languages as a transfer signal. This paper proposes Language-Similarity-Guided Transfer (LSGT), a sequential fine-tuning strategy that first adapts a pre-trained model to a pivot language selected using character trigram similarity, followed by fine-tuning on the target language. Four transformer models are evaluated across all 12 NusaX languages using the official train/validation/test splits: IndoBERT, NusaBERT, mBERT, and XLM-R. Performance is evaluated using four metrics: accuracy, macro F1, macro precision, and macro recall. Experimental results show that LSGT improves macro F1 in 44 of 48 model-language combinations, demonstrating that the fine-tuning strategy itself is a major factor in low-resource cross-lingual sentiment classification. XLM-R benefits most strongly from LSGT, achieving an average improvement of +0.137 macro F1 and a peak gain of +0.298 on Madurese. SHAP-based token attribution analysis further reveals that predictions rely heavily on named entities and domain-specific nouns rather than sentiment-bearing vocabulary, indicating a dataset-level bias inherited from the original SmSA corpus and propagated through the NusaX translation pipeline.

Fixed asset management is a crucial component in supporting the performance of local governments. However, the Polewali Mandar Regency Government still faces obstacles in managing assets conventionally, such as the risk of recording errors, duplicate data, and difficulties in field data verification which is time-consuming. This study aims to design and build a Web-Based Fixed Asset Management Information System integrated with Quick Response Code (QR Code) technology as a digital solution for real-time asset data collection, tracking, and monitoring. The approach taken for system development is known as the Waterfall approach, encompassing the phases of analyzing requirements, system design, execution, evaluation, and ongoing support. The creation of the system was carried out utilizing the PHP coding language, the MySQL database system, and Tailwind CSS to achieve a mobile-friendly interface. Data collection techniques were conducted through observation, interviews, and literature studies at the General Affairs Division of the Regional Secretariat of Polewali Mandar Regency. The result of this research is a fixed asset management information system featuring the generation of unique QR Code labels for each asset, category and location management, and reporting features divided into three access levels: Admin, Operator, and Verificator. Based on the system testing results, an average score of above 4.00 was obtained for indicators of ease of use (user-friendly), access speed, and information accuracy. In conclusion, the implementation of this QR Code-based system is proven to increase the efficiency of the asset identification process in the field, minimize manual input errors, and improve accountability in regional asset management in Polewali Mandar Regency.

Difficulties in learning to read the Qur’an among adults do not always stem from the quality of teaching materials or instructors, but are often caused by the use of learning methods that are not appropriate to adult learners’ characteristics. Adults possess distinct psychological, physiological, and experiential backgrounds that require learning approaches different from those used for children. Monotonous and rigid instructional methods may hinder motivation and limit learning outcomes, particularly in Qur’anic literacy education. This condition is further compounded by physical limitations commonly experienced by adults and the elderly, such as dental and oral health problems, as well as strong regional language accents that affect pronunciation accuracy. In response to these challenges, the Tsaqifa method was developed as an alternative and practical approach specifically designed for adult beginners who have little or no prior ability to read the Qur’an. This method emphasizes simplicity, flexibility, and learner-centered instruction, enabling participants to gradually improve their Qur’anic reading skills in a supportive and non-intimidating learning environment. Through its application, adult learners are encouraged to regain confidence and motivation in studying the Qur’an, thereby contributing to efforts to reduce Qur’anic illiteracy among adult and elderly communities, particularly in rural areas.

Code-switching has become increasingly prevalent in digital communication among Indonesian youth, reflecting complex sociolinguistic dynamics in multilingual contexts. This study investigates code-switching patterns in Indonesian digital native youth's computer-mediated communication (CMC), examining the linguistic structures, social functions, and motivations behind this phenomenon. A mixed-methods approach was employed, analyzing 2,500 social media posts from 150 Indonesian youth aged 18–25 across Instagram, Twitter, and WhatsApp. Quantitative content analysis identified code-switching frequency and patterns, while qualitative thematic analysis explored motivations and functions. Myers-Scotton's Matrix Language Frame model guided the structural analysis. Results revealed that 78.4% of participants engaged in code-switching, with Indonesian-English being the most common pattern (62.3%), followed by Indonesian-Regional Language (23.5%) and trilingual switching (14.2%). Intrasentential switching occurred in 54.7% of cases, while intersentential switching appeared in 31.8%. Five primary functions emerged: identity construction (32.1%), emphasis/intensification (26.4%), topic shifting (18.9%), humor/creativity (14.3%), and lexical gap-filling (8.3%). Code-switching in Indonesian digital communication represents a sophisticated linguistic practice driven by identity negotiation, expressive needs, and technological affordances rather than linguistic deficiency. These findings contribute to understanding multilingual CMC in Southeast Asian contexts and have implications for digital literacy education and language policy.

Indonesia represents one of the world's most complex and dynamic linguistic ecosystems, harboring over 700 regional languages alongside the national language (Bahasa Indonesia) and Indonesian Sign Language (BISINDO). This synthesis study provides comprehensive analysis of the Indonesian linguistic landscape, integrating findings from five complementary large-scale investigations conducted 2020–2024: code-switching patterns in digital communication; typological uniqueness of Indonesia's tenseless temporal system; linguistic complexity of BISINDO and barriers to deaf inclusion; sociolinguistic stratification through first-person pronoun variation; and critical endangerment of regional languages. The synthesis employed integrative methodology encompassing 3,550 total participants, 20,000+ linguistic tokens, 18 months of ethnographic fieldwork, and analysis of 150 languages and 25 revitalization programs. Synthesis reveals five interconnected dynamics: (1) centripetal standardization through education, urbanization, and media; (2) centrifugal diversification through identity construction and social stratification; (3) typological persistence maintaining Indonesian distinctiveness despite contact; (4) parallel endangerment affecting regional languages and BISINDO; and (5) ideology-driven change linking language choice to modernity and prestige. These dynamics produce dynamic tension between homogenization and diversification. Indonesia's linguistic future depends on whether policies can balance national unity through Indonesian and linguistic diversity through regional language and BISINDO protection. 

Indonesia harbors extraordinary linguistic diversity with over 700 regional languages representing approximately 10% of the world's languages within 1.3% of global land area. However, this diversity faces existential threat from language shift toward Indonesian, urbanization, education policies favoring the national language, and globalization. UNESCO classifies 146 Indonesian languages as endangered, with several dozen facing imminent extinction as last speakers age without intergenerational transmission. This study documents the current vitality status of Indonesian regional languages, analyzes factors driving language endangerment and shift, evaluates existing conservation efforts, and proposes evidence-based strategies for language revitalization and maintenance. A multi-phase approach was employed: vitality assessment of 150 regional languages using UNESCO's Language Vitality and Endangerment framework with surveys involving 2,400 speakers; ethnographic case studies in 12 speech communities; policy analysis; evaluation of 25 revitalization programs; and predictive modeling of language shift trajectories. Of 150 surveyed languages, only 23 (15.3%) classified as safe with robust intergenerational transmission; 48 (32.0%) were vulnerable; 42 (28.0%) definitely endangered; 28 (18.7%) severely endangered; and 9 (6.0%) critically endangered. Key endangerment drivers included Indonesian-only education (92.3% of schools), urban migration (67.8% of youth), negative language attitudes (54.2% of parents), and lack of written traditions (73.4% of languages lacking orthographies). Modeling projected that without intervention, 40% of currently vulnerable languages will become definitely endangered within 20 years. Successful revitalization demands community-owned interventions, mother-tongue-based multilingual education, new digital language domains, and attitude change campaigns. Indonesia's linguistic diversity represents invaluable cultural and scientific heritage requiring urgent, coordinated conservation action.

This study aims to analyze the effect of the intensity of regional language use on the quality of Indonesian language proficiency among ninth-grade students of SMP Islam Al-Mubarok. A quantitative approach was employed using a survey method and simple linear regression analysis to examine the relationship between the intensity of regional language use as the independent variable (X) and Indonesian language proficiency as the dependent variable (Y). The data were collected through research instruments developed based on the study indicators and analyzed using statistical tests. The findings revealed that the working hypothesis (Ha) was accepted, indicating a negative and significant effect of regional language use intensity on students' Indonesian language proficiency. This result was supported by a significance value of 0.000 (p < 0.05) and a regression coefficient of -0.85, demonstrating that a higher intensity of regional language use was associated with lower Indonesian language proficiency. The coefficient of determination (R²) of 61.6% indicates that variations in Indonesian language proficiency are substantially explained by the dominance of regional language use, while the remaining percentage is influenced by other factors beyond the scope of this study. The dominance of regional languages contributes to linguistic interference, particularly in grammatical aspects, and reflects students' difficulties in performing code-switching between informal and formal contexts, potentially reducing the effectiveness of Indonesian as the primary language of academic instruction.

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.

This sociolinguistic study examines patterns of regional language interference in formal Indonesian usage across bilingual areas of Indonesia. Through a mixed-methods approach, this research analyzes oral and written data from 240 participants across three strategic bilingual regions: Javanese-Indonesian, Sundanese-Indonesian, and Batak-Indonesian. Data were collected through structured interviews, ethnographic observations, and corpus analysis of formal documents. Quantitative analysis employed linguistic corpus software to identify frequency patterns and interference distribution, while qualitative analysis applied ethnography of communication approaches to understand social contexts and functions of interference in communicative interactions. Findings reveal systematic interference typologies that vary according to linguistic domains. Phonological interference demonstrates the highest resistance to formal register constraints (78% consistency), with Batak-Indonesian speakers showing the highest interference rates (85%), followed by Javanese-Indonesian (74%), and Sundanese-Indonesian (71%). Lexical interference occurs in 65% of samples with significant variation based on communication domains, where Sundanese-Indonesian shows the highest rates (72%). Morphological interference is found in 52% of cases, particularly in affixation and reduplication systems. Syntactic interference shows the highest sensitivity to situational formality, decreasing from 45% in semi-formal communication to 28% in strict formal contexts. Research implications indicate the need for reorienting language policy from corrective approaches toward recognizing interference productivity. Language policies should develop flexible standards that accommodate regional variations and promote positive attitudes toward multilingualism. In educational contexts, integration of contrastive approaches in Indonesian language learning is required, along with development of instructional materials sensitive to students' linguistic backgrounds, and teacher training on managing productive versus corrective interference.This research contributes to Indonesian sociolinguistics through providing comprehensive empirical databases, developing innovative theoretical frameworks, and replicable methodologies for language contact analysis. Findings confirm that regional language interference in formal Indonesian constitutes a productive phenomenon reflecting Indonesia's multilingual vitality. Approaches that recognize productive aspects of interference while optimizing formal communication effectiveness become key to developing language strategies responsive to contemporary multilingual Indonesian realities.

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 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.  

Public complaint services are an essential part of public service delivery in supporting the government’s rapid response to various social issues and emergency situations. In West Tanjung Jabung Regency, public complaint services are provided through the HALO USTAD 112 Call Center managed by the Department of Communication and Informatics. However, the existing service still faces several limitations, including the lack of optimal integration in complaint data management, inadequate documentation of reports based on regional classifications, and limited capabilities in storing and retrieving complaint data. This study aims to optimize the HALO USTAD 112 Call Center service through the design of a mobile-based public complaint information system, so that the processes of receiving, managing, and monitoring reports can be carried out more effectively and in a structured manner. The system development applies the Waterfall method, which consists of requirement analysis, system design, implementation, and testing stages. The designed information system includes key features such as user and admin login, complaint submission, report management and verification, report monitoring, statistical visualization of complaint data, and regional-based report recapitulation. The application is developed using the Flutter framework with the Dart programming language, while Supabase is utilized as the backend integrated with a PostgreSQL database. The results of this study are in the form of a system design and prototype that are expected to improve the quality of public complaint services and support more accurate, integrated, and efficient data management.

This study aims to describe the forms and social functions of code-switching and code-mixing in the film Hujan Bulan Juni and to explain how language choice represents identity and social differences among the characters. The film was chosen because it portrays interactions between characters from different cultural backgrounds Javanese and Manadonese which allows for complex patterns of language contact. The study employed a descriptive qualitative method using observation and note-taking techniques on dialogues containing Indonesian, Javanese, and Manadonese linguistic elements. The data were analyzed using the sociolinguistic frameworks of Gumperz (1982) and Wardhaugh (2015) to uncover the social functions and identity meanings reflected in the speakers’ language choices.The findings reveal that code-switching from Indonesian to Manadonese serves to reinforce ethnic solidarity, emotional closeness, and cultural pride, while switching from Indonesian to Javanese reflects politeness, intimacy, and social hierarchy. Meanwhile, code-mixing between Indonesian and Manadonese marks distinctive speech styles and expresses regional identity, whereas code-mixing between Indonesian and Javanese functions to soften utterances and portray the speakers’ courteous demeanor. Overall, language choice in Hujan Bulan Juni is not merely a communicative tool but also a representation of identity and social differentiation within Indonesia’s multilingual society.

Learning Indonesian language and literature in elementary schools plays an important role in shaping students' character through the integration of literary works based on local culture. Lampung poetry as a representation of local wisdom contains educational values, such as religiosity, respect for parents, polite language, mutual cooperation, and environmental awareness. This study aims to describe the educational values ​​and local wisdom in Lampung poetry and their relevance to the character formation of elementary school students. The research method used is a literature review by analyzing references in the form of scientific articles, textbooks, Lampung poetry texts, and previous research results related to character education, regional literature, and local wisdom-based learning. The results of the study indicate that Lampung poetry is effective as a literary learning medium to instill character values, especially those in line with the dimensions of the Pancasila Student Profile, namely faith and piety, mutual cooperation, creativity, and global diversity. Practical implementation can be done through literary appreciation activities, reflective discussions on cultural values, and assignments to write poetry based on students' local experiences. The conclusion of this study confirms that systematically integrating Lampung poetry into Indonesian language learning has significant potential to strengthen students' character education while preserving local culture amidst the challenges of globalization.  

Penelitian ini mengembangkan sistem pemantauan berbasis Internet of Things (IoT) untuk mengoptimalkan kinerja Mini PC dan pemeliharaan real-time di CV Permata Gemilang Jaya. Metodologi waterfall diterapkan menggunakanNodeMCU sebagai mikrokontroler utama, dilengkapi dengan sensor DHT22, DS18B20, dan INA219 untuk memantau parameter suhu, CPU, dan memori. Arsitektur sistem mengintegrasikan kerangka kerja Laravel dengan database MySQL, menghasilkan aplikasi web responsif dengan kontrol akses berbasisperan untuk Admin Pusat, Admin Regional, dan Teknisi Cabang. Infrastrukturserver cloud dengan konektivitas GSM cadangan memfasilitasi pemantauanterpusat di wilayah Ciayumajakuning. Desain sistem menggunakan Unified Modeling Language (UML) dengan diagram kasus penggunaan dan diagram aktivitas yang komprehensif. Penerapan sistem pemberitahuan otomatisdengan mekanisme peringatan berbasis ambang batas memungkinkan deteksidini anomali perangkat. Antarmuka yang dioptimalkan untuk selulermeningkatkan aksesibilitas teknisi untuk operasi lapangan. Validasi sistemmenunjukkan strategi pemeliharaan preventif yang sukses dalam mengurangiwaktu henti perangkat dan mengoptimalkan efisiensi operasional infrastrukturteknologi informasi.