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Cultural values are life principles that guide Javanese society in acting. This article aims to analyze how Javanese cultural values are contained in the novel Sumirat Ing Mripat. The approach used is a semiotic approach from the perspective of Rolland Barthes. The analytical method used is Rolland Barthes’ semiotic theory. This analytical method consists of denotation, connotation, and myth. The analysis is carried out by linking the results of the interpretation of signs to five cultural value relationships. The semiotic approach is used to reveal the meaning and signs of Javanese cultural values. The novel Sumirat Ing Mripat was taken as a data source in this study. The results show that the novel Sumirat Ing Mripat represents cultural values. These values are the value of rationality in the relationship between humans and themselves, the value of piety in the relationship between humans and God, the value of non-rationality in the relationship between humans and others, the value of harmony in the relationship between humans and nature, and the value of deliberation in the relationship between humans and society. This study confirms that literary works function as a representation of the system of Javanese cultural values.

This study aims to analyze the language style employed by President Prabowo Subianto in his speech delivered at the 17th National Farmers and Fishermen Week in 2026 using Teun A. Van Dijk's Critical Discourse Analysis framework. The study employed a qualitative approach with documentation techniques applied to the official speech transcript. Data were analyzed through Van Dijk's three analytical dimensions, namely text, social cognition, and social context. The findings reveal that, at the textual level, the speech is dominated by themes of support for farmers and fishermen as strategic actors in national development and food security. At the superstructure level, the speech is organized argumentatively through personal experiences, policy explanations, and reaffirmation of governmental commitments. At the microstructure level, the speech demonstrates the use of informal language, rhetorical strategies, repetition, and lexical choices that strengthen the relationship between the speaker and the audience. In terms of social cognition, the findings indicate the speaker's awareness of the media's role in shaping public opinion, as reflected in several instances of meta-communication. Meanwhile, the social context dimension reveals representations of power relations through the construction of social groups positioned either as supporters or obstacles to national interests. These findings suggest that the speech functions not only as a means of political communication but also as a medium for constructing ideology, legitimizing power, and shaping political identity. This study reinforces the view that language plays a significant role in representing social realities and power relations within society.

The development of digital media has transformed YouTube into one of the most influential platforms for Islamic preaching, shaping public understanding of religious issues, including religious tolerance. This study aims to analyze the representation of religious tolerance, the patterns of tolerance message delivery, and the tendency of interpreting religious tolerance in Felix Siauw’s YouTube content. The research employs a qualitative approach using content analysis of videos discussing interfaith relations and social diversity.The findings reveal that religious tolerance in Felix Siauw’s content is represented as respect for the rights of followers of other religions in social life without compromising the boundaries of Islamic creed (aqidah). Messages of tolerance are conveyed through persuasive narratives supported by Qur’anic verses, Hadith, and scholars’ perspectives, emphasizing the importance of maintaining Islamic identity within a pluralistic society. The study also indicates that the interpretation of tolerance promoted in the content tends to emphasize social tolerance rather than theological tolerance, namely respecting diversity and fostering peaceful coexistence without equating religious beliefs. Therefore, digital Islamic preaching functions not only as a medium for disseminating religious teachings but also as a platform for shaping public understanding of religious tolerance.

The Entangled game is designed as an interactive medium to convey the problem of ghost nets to the 19–25 age group through a visual novel format that relies on narrative and visuals as a means of communication. This medium is presented to highlight the problem of ghost nets which are a serious threat to marine ecosystems because they destroy habitats, endanger marine biota, and impact the social and economic aspects of coastal communities, but are still poorly understood by the younger generation due to the limited availability of engaging and communicative educational media. In designing this game, character design plays a key supporting element that helps convey conservation messages emotionally and narratively through character representation, dialogue, and relationships between characters in the storyline. The method used is a mixed method with data collection through interviews, literature studies, and questionnaires, which are then developed using the Game Development Life Cycle (GDLC) approach to ensure the game design process runs systematically. 

This study aims to analyze the religious and spiritual symbols represented in the film Titip Surat untuk Tuhan through Roland Barthes’ semiotic approach, focusing on the three levels of meaning: denotation, connotation, and myth. The research employs a qualitative descriptive method using semiotic analysis based on document studies of selected scenes, dialogues, and visual elements portraying religious values, prayer, sacrifice, patience, hope, gratitude, and trust in God. The findings reveal that symbols such as the mosque, mukena, sarong, prayer mat, the Qur’an, prayer activities, the post office as a medium for sending letters to God, and the calligraphy of “Allah” and “Prophet Muhammad” on the walls function not only as literal signs but also convey profound religious and spiritual connotations. These symbols further develop into myths that reinforce religious norms and cultural beliefs accepted as natural within society. The film successfully constructs a subtle yet powerful representation of faith by portraying a Muslim family that upholds devotion, moral values, patience, compassion, and an enduring relationship with God. Overall, the film demonstrates how religious symbols effectively communicate spiritual messages while strengthening viewers’ understanding of Islamic values through visual and narrative storytelling.

This study discusses the leadership values reflected in the folklore of Panglima Wangkang in Marabahan as a representation of the local wisdom of the Banjar-Bakumpai community. Panglima Wangkang is recognized as a prominent figure who played a significant role in resisting Dutch colonialism in the Barito region. This research aims to examine Panglima Wangkang not only as a war hero but also as a symbol of cultural unity, religious values, and traditional leadership that still lives in the collective memory of society today. The study employs a qualitative historical method with a postcolonial approach. The data were collected through library research involving historical archives, scientific journals, books, and documented folklore. The research stages included heuristics, source criticism, interpretation, and historiography. The findings reveal that Panglima Wangkang’s leadership reflects the values of courage, strategic intelligence, loyalty, religiosity, and social concern. His well-known military strategy, referred to as the “Trojan Horse” technique, demonstrates his tactical ability in confronting colonial forces. In addition, religious values are reflected in his message to always maintain ablution and in the belief regarding martyrdom. The story of the golden bullet also symbolizes the community’s respect for the struggle and honor of local heroes. Panglima Wangkang’s cross-ethnic identity as both Banjar and Bakumpai further strengthened community unity in facing colonialism. This study shows that folklore functions not only as a cultural heritage but also as a medium for transmitting leadership values and local identity that remain relevant in the social life of the Marabahan community today.

Intercultural Communicative Competence (ICC) has become a key objective of English language education; however, its implementation in Indonesia remains insufficiently understood. This study investigates the alignment between ICC expectations in the Kurikulum Merdeka, English textbooks, and classroom practices in Indonesian senior high schools. An exploratory sequential mixed methods design was employed, involving document analysis of four government-issued English textbooks for grades X–XII, classroom observations in 15 schools across three provinces, a survey of 87 English teachers, and in-depth interviews with 18 teachers and 36 students. The findings reveal a three-level gap. First, the curriculum acknowledges ICC but lacks clear and measurable operational guidelines. Second, textbooks predominantly emphasize Anglo-American culture (64.8% of cultural content) while providing limited representation of Indonesian and global cultures. Third, 78.2% of teachers reported not explicitly integrating cultural dimensions into English instruction, resulting in stereotypical and culturally limited classroom practices. To address these issues, the study proposes the Triangulated Cultural Literacy (TCL) framework, integrating reflection on learners’ own culture, balanced exploration of target cultures, and intercultural negotiation. The findings highlight the need to operationalize ICC in the curriculum, improve textbook cultural representation, and strengthen teachers’ intercultural pedagogical competence.

Flooding remains a recurrent hazard in the Special Capital Region of Jakarta (DKI Jakarta), causing substantial disruptions across multiple dimensions community life, including social well-being and economic activities. The availability of flood-related information through the Jakarta One Data Portal (Satu Data Jakarta) provides significant opportunities for broader data utilization; however, transforming such information into meaningful assessments regional vulnerability requires a systematic analytical approach to generate more comprehensive understanding of the conditions of individual urban villages (kelurahan). This study focuses on the classification areas based on the characteristics and impacts of flood events occurring throughout DKI Jakarta. The analysis utilizes flood event records from 2023 to 2025 and incorporates several indicators, including the number of flood occurrences, the number of affected neighborhood associations (RW), the number affected households, the number of affected residents, the number of evacuees, the number of evacuation sites, and floodwater depth. Data processing was conducted using the Knowledge Discovery in Databases (KDD) framework, encompassing data selection, cleaning and preprocessing, transformation, pattern exploration, result evaluation, and knowledge extraction. The findings demonstrate that three-cluster solution effectively captures variations in flood vulnerability levels, corresponding to low-, moderate-, and high-risk categories. A total of 96 urban villages were classified as low-risk, 27 as moderate-risk, and 46 as high-risk areas. The resulting clustering patterns provide a clearer spatial representation of flood-risk distribution across urban villages, thereby offering valuable insights for the development more targeted mitigation strategies, the prioritization of flood management interventions, and the enhancement of evidence-based decision-making processes in DKI Jakarta.

The phenomenon of Generation Z’s political electability in the 2024 Legislative Election reflects a shift in patterns of political representation at the local level. The success of Generation Z candidates in securing legislative seats in Jambi City has become a noteworthy phenomenon, particularly amid the dominance of politicians from older generations. This study aims to analyze the political personal branding strategies employed by Generation Z candidates in building their electability in the 2024 Legislative Election in Jambi City. The research adopts a qualitative approach, with data collected through interviews, documentation, and literature review. The analysis is based on Peter Montoya’s Personal Branding theory, which consists of specialization, Leadership, Personality, Distinctiveness, visibility, unity, persistence, and goodwill. The findings reveal that the electability of Generation Z candidates is influenced not only by their young age or social media presence but also by their ability to establish social closeness with the community, maintain consistency in political behavior, engage in intensive interpersonal communication, and actively participate in social and community activities. Personal branding strategies that are developed consistently and sustainably have proven effective in fostering public trust and strengthening political legitimacy at the local level. The study concludes that political personal branding is one of the key factors contributing to the electability of Generation Z candidates in the 2024 Legislative Election in Jambi City.

Document-level sentiment analysis assigns a single polarity label to an entire review, often obscuring opinion diversity within multi-sentence submissions. This limitation is particularly evident in reviews of multi-service platforms, where users frequently express heterogeneous opinions toward different aspects of the platform in the same review. To address this challenge, this study proposes a sentence-level sentiment analysis framework for Indonesian Gojek app reviews collected from the Google Play Store. The proposed framework introduces a two-stage segmentation strategy that combines punctuation-aware rules with conjunction-aware splitting based on coordinating and adversative conjunctions (e.g., tapi [but], padahal [even though]) to identify opinion boundaries and decompose mixed-sentiment reviews into independently classifiable sentence units. A total of 14,730 raw reviews collected between May and July 2025 were subjected to data cleaning and quality filtering, resulting in 7,187 valid reviews that were further segmented into 14,187 sentence-level instances. Each instance was manually annotated by three annotators using a four-class labeling scheme consisting of app-positive, app-negative, app-neutral, and service categories. Sentiment-level inter-annotator agreement, computed on the subset of instances unanimously categorized as app-related by all three annotators (n = 4,384), achieved substantial agreement (Fleiss'  = 0.636). Hyperparameter optimization was conducted using Optuna with the Tree-structured Parzen Estimator (TPE) sampler across four experimental scenarios. The best performance was achieved by IndoBERTweet under Stratified K-Fold evaluation, attaining an accuracy of 0.751 and a macro F1-score of 0.729, outperforming all IndoBERT configurations. The results demonstrate the effectiveness of domain-adaptive pre-training on informal Indonesian text and highlight the value of conjunction-aware segmentation for preserving fine-grained opinion structures in mixed-sentiment reviews. These findings suggest that domain-aligned language representations provide a practical and effective solution for sentence-level sentiment analysis of Indonesian app reviews.

Misconceptions on the topic of waves are a systemic problem in high school physics learning that requires a comprehensive diagnostic instrument. Conventional diagnostic instruments up to the four-tier generation have limitations in revealing the conceptual structure behind students' thinking errors. This study aims to develop a five-tier multi-representation diagnostic instrument on the topic of waves using the 4D model (Define, Design, Develop, Disseminate). The main innovation of this instrument lies in the integration of multi-representations (verbal, pictures, graphics, mathematical) in Tier 1 and the addition of a paraphrase tier (Tier 5) that asks students to rewrite their understanding in their own words. The development process includes needs analysis, designing a grid of 16 questions, validation by two experts, and a limited trial on 34 grade XI students of SMAN 13 Kota Jambi. The results of expert validation showed an average percentage of 91.25% (Very Good) from both validators. Content validity was met with a percentage of False Positive (FP) of 6.80% and False Negative (FN) of 4.41%, both below the 10% threshold. Construct validity was confirmed through a significant Product Moment correlation (r = 0.342–0.348; sig. < 0.05) and factor analysis with six significant factors (eigenvalue > 1). The instrument's reliability was high, with a Cronbach's Alpha of 0.726. This instrument is expected to help physics teachers diagnose students' misconceptions more precisely and thoroughly on the topic of waves.

This study aims to analyze in-depth cognitive learning theory and its implications for improving the effectiveness of Islamic Religious Education (PAI) teaching at the elementary school level. The adopted methodological approach is qualitative through library research, with the application of content analysis and theoretical synthesis techniques. Primary data sources were obtained from academic literature including textbooks, scientific journals, and the latest empirical research relevant within the last decade. The results of the analysis indicate that cognitive learning theory positions cognitive processes as the core of learning activities, allowing students to function as active agents in constructing knowledge through understanding, analysis, memory representation, and integration with pre-existing cognitive schemas. In the context of PAI, this approach enables meaningful learning through interactive pedagogical strategies such as collaborative discussions, problem-solving, case studies, and metacognitive reflection, which are empirically adapted to the stages of students' cognitive development. The implementation of cognitive theory significantly contributes to strengthening conceptual understanding, increasing learning engagement, developing critical thinking skills, transferring knowledge, and internalizing Islamic values. Thus, cognitive learning theory makes a substantial contribution to optimizing the effectiveness of PAI teaching in elementary schools through an interactive, systematic, and understanding-oriented approach.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

The advancement of information technology has driven higher education institutions to manage their digital presence professionally, particularly through quality website management as a representation of institutional identity. Preliminary observations of the Universitas Graha Karya (UGK) website (ugk.ac.id) identified several issues, including inconsistent page layouts, inactive hyperlinks, and irregularly updated content. This study aims to analyze the quality of the UGK website based on three WebQual 4.0 dimensions—usability, information quality, and service interaction quality—and to determine improvement priorities using Importance Performance Analysis (IPA). A descriptive quantitative approach was employed, with data collected through questionnaires distributed to 308 active students selected via purposive sampling using the Slovin formula at a 5% margin of error. Data analysis included validity testing, reliability testing, WebQual 4.0 analysis, gap analysis, and IPA Cartesian diagram mapping. Results indicate negative grand mean gap values across all dimensions, with service interaction quality recording the largest gap (-0.16), followed by information quality and usability (both -0.01). IPA mapping identified five indicators in Quadrant I as the main improvement priorities: ease of menu navigation (U2), relevance of academic information (IQ2), clarity of information language (IQ4), website access security (SI1), and ease of contacting administrators (SI4). The study concludes that UGK's website quality has not fully met user expectations and requires structured, user-oriented improvements.

Inclusive education aims to provide equal learning opportunities for all students, including those with special needs, within regular educational settings. However, mathematics learning in inclusive classrooms remains challenging because mathematical concepts are often abstract and require logical reasoning that may not be easily accessible to learners with diverse cognitive characteristics. Ethnomathematics has emerged as an alternative approach by integrating cultural practices, local wisdom, and students’ daily experiences into mathematics instruction, creating more meaningful and accessible learning environments. This study aims to analyze the development, implementation patterns, opportunities, and research gaps related to ethnomathematics in inclusive mathematics learning. A literature review method was employed by examining scientific publications from 2020–2025 obtained from Google Scholar, Scopus, ERIC, Springer, and ProQuest databases. Data were analyzed through content analysis involving reduction, classification, interpretation, and synthesis. The findings indicate that ethnomathematics has been implemented through cultural artifacts, digital teaching materials, and project-based contextual learning. The approach supports inclusive learning through multi-representational access, instructional adaptations, scaffolding strategies, and collaborative teaching practices aligned with Universal Design for Learning principles. Furthermore, ethnomathematics enhances students’ motivation, conceptual understanding, mathematical literacy, and cultural identity. Nevertheless, studies focusing on disability-specific adaptations and long-term learning outcomes remain limited and require further investigation.

The development of social media, particularly TikTok, has played a significant role in shaping beauty trends and constructing ideal facial standards among young generations. The TikTok Beauty phenomenon not only provides diverse makeup references but also reinforces specific visual representations that influence perceptions of beauty. This study aims to examine the relationship between the TikTok Beauty phenomenon, the process of facial standardization, and its implications for the development of makeup techniques. A qualitative approach was employed through content analysis and literature review. Primary data were obtained from observations of popular TikTok videos under the hashtags #beautytrend, #makeup, and #tiktokbeauty, while secondary data were drawn from scholarly literature on beauty standards, social construction, and social media algorithms. The findings indicate that TikTok strengthens certain beauty standards such as fair skin, slim facial contours, and a flawless appearance which in turn influence techniques like complexion layering and visual manipulation. However, the platform also provides space for more inclusive and diverse beauty narratives. This study recommends enhancing aesthetic literacy to ensure that makeup practices prioritize diversity and the unique characteristics of each individual.

The concept of the natural look in facial makeup has continued to develop along with changes in beauty trends that emphasize a simple, clean, and natural appearance. The natural look is not only understood as a makeup technique involving minimal cosmetic use, but also as a representation of modern beauty perceptions that highlight authenticity and self-confidence. This article aims to examine the concept of the natural look in facial makeup through a literature review of various relevant previous studies. The method used is a literature study by analyzing scientific journals and books discussing natural makeup techniques and beauty perceptions. The results indicate that the natural look is achieved through the use of neutral colors, light application techniques, adjustment to individual facial characteristics, and the selection of cosmetics that support a natural appearance. In addition, beauty perceptions of the natural look tend to emphasize simplicity, cleanliness, and an authentic impression. Therefore, the natural look can be understood as a combination of technical approaches in makeup and social constructions of the meaning of beauty in society.

The article entitled “Gender Construction and Representation of Social Actors in the Drama Lutung Kasarung: A Critical Discourse Analysis by Theo van Leeuwen” aims to describe the representation of gender-based social actors through inclusion and exclusion strategies and to reveal the construction of gender ideology built in the drama text. This study uses a qualitative approach with a descriptive-analytical design. The research data source is the drama text Lutung Kasarung, while the analysis unit includes dialogue, narrative, and the depiction of characters who represent gender-based social actors. Data collection techniques are carried out through documentation by reading, identifying, and grouping data according to Theo van Leeuwen's analysis categories. The results of the study show that the inclusion strategy is more dominantly used to present male characters as strong, rational figures, and have authority in determining the course of the story. In contrast, female characters are represented in two patterns, namely the ideal passive woman and the dominant woman who is constructed negatively. In addition, the exclusion strategy is used to obscure the role of women in decision-making, thereby reinforcing gender marginalization. This study concludes that the drama Lutung Kasarung represents patriarchal ideology through discourse practices that shape power relations between men and women.

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.