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The swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

This final project was an audiovisual feature video that explored the issue of uncertainty among informal sector workers, particularly porters at train stations. The work was motivated by the limited representation of porters, despite their important role in supporting transportation services. This report aimed to explain the application of the three-act structure in scriptwriting, consisting of Act I (Set Up), Act II (Confrontation), and Act III (Resolution). The production process included pre-production, production, and post-production stages, with scriptwriting as the main focus in constructing a structured narrative. In Act I, the work introduced the station environment and the porter profession to build audience understanding. Act II developed the conflict through the portrayal of job uncertainty, income instability, and the daily life of the main subject. Act III presented a reflective conclusion through multiple perspectives and symbolic visuals. The result showed that the three-act structure effectively created a systematic narrative flow and strengthened message delivery. In conclusion, the human-interest approach combined with observational visuals effectively conveyed social realities and fostered audience empathy toward informal workers.

The phenomenon of emotional healing has become increasingly prominent in popular culture as the younger generation experiences increasing loss, emotional exhaustion, and numbness. Popular music serves as a medium of expression, representing these emotional dynamics through poetic language and symbolic structures. This study aims to analyze the emotional representation of healing in Umay Shahab's song "Perayaan Mati Rasa" using Roland Barthes's semiotic approach. The research method used is descriptive qualitative, analyzing three layers of meaning: denotation, connotation, and myth, through breaking down the lyrics into several lexicons and reading signs. The results show that (1) denotatively, the lyrics construct an emotional arc from inner tension to self-contemplation; (2) connotatively, the use of diction and imagery represents vulnerability, resilience, and emotional reflection; and (3) at the mythical level, the song constructs release as a form of emotional maturity and loss as a process of identity formation. Thus, this song functions as a cultural representation in interpreting the process of emotional healing in popular culture.

A single paragraph, maximum 250 words. Abstract content must contain (1) an overview of the object of research, (2) problems, and research objectives, (3) proposed methods, (4) main findings and results and synthesis of main ideas, and (5) conclusions. In recent years, the Iran–United States conflict has not only unfolded within the geopolitical arena but has also been intensively constructed through international media framing that shapes how global audiences understand this reality. In the context of the digital information overflow, media no longer function merely as conveyors of facts; rather, they act as agents that construct meaning, evoke emotions, and shape the social perceptions of audiences. This study aims to analyze how international media framing constructs representations of the Iran–United States conflict and how audiences interpret such discourse within their social experiences. This research adopts a qualitative approach with a Critical Discourse Analysis (CDA) design. Data were collected through document analysis of 25 news articles from both Western and non-Western media, as well as exploratory interviews with nine participants from academic backgrounds. Data analysis was conducted using a thematic approach based on Norman Fairclough’s three-dimensional model. The findings reveal three main patterns: the construction of threat through media language, moral polarization that produces a dichotomy of “us versus them,” and the negotiation of meaning by audiences, which is reflective and not always linear. These findings indicate that audiences are not entirely passive; rather, they actively interpret and, at times, question media framing. Theoretically, this study extends Critical Discourse Analysis by incorporating the dimension of audience experience into the discursive process. Practically, it underscores the importance of critical media literacy in navigating the complexity of global information and opens avenues for further exploration of the relationship between discourse, power, and social experience.

This study aims to examine the application of an expository approach in the scriptwriting of the documentary film "Jejak Rasa," which highlights Southern Chinese cuisine in Bandung as a representation of cultural acculturation. The background of this research is based on the declining interest of the younger generation in traditional culinary arts due to the influence of globalization and social media trends. The methods used included literature research, field observations, and interviews with relevant sources, such as culinary entrepreneurs and museum officials. The results show that the expository approach is effective in conveying information systematically, factually, and easily understood through the use of voice-over narration as the main direction of the story. Furthermore, the use of an implied first-person perspective creates an emotional connection between the audience and the material presented. This documentary serves not only as an information medium but also as a means of education and preservation of Peranakan Chinese culinary culture. By combining visual elements, narrative, and interviews, this documentary comprehensively presents historical, social, and cultural values. Therefore, this work is expected to raise public awareness of the importance of preserving culinary cultural heritage amidst modern developments.

The development of documentary films in Indonesia has encouraged the need for presenting reality in an informative manner while maintaining strong visual quality. Documentary films were no longer viewed merely as a medium for recording facts, but also as a creative medium capable of delivering social messages through a cinematic approach. Cinematography became an important element because it played a role in constructing meaning, atmosphere, and viewing experience through well-directed visual management. This study discussed the management of cinematographic elements by the Director of Photography in the documentary film “Mindful Sip: Matcha Beyond The Trend”, which raised the phenomenon of increasing matcha consumption as part of the lifestyle trend among young people. The method used was a creative approach based on expository documentary through the stages of pre-production, production, and post-production. The entire creation process was focused on concept planning, image capturing, and visual as well as narrative refinement so that the documentary message could be conveyed effectively. The results showed that matcha had developed into a symbol of a healthy, productive, and aesthetic lifestyle, yet awareness of responsible consumption was often neglected. The management of camera angle, camera movement, type of shot, and composition was proven to strengthen visual representation and help audiences understand the phenomenon more critically. Therefore, cinematography played an important role not only in producing attractive visuals, but also in clarifying the documentary’s message regarding the relationship between consumption trends and bodily experience.

IIn the process of creating the feature video "Jejak Rasa: Akar dari Tanah Priangan," the author serves as the Director of Photography, responsible for managing the visual aspects to effectively and comprehensively convey the message. This is achieved through the application of various cinematographic techniques, such as careful selection of camera angles, types of shots, camera movements, and in-depth composition. The main goal of this feature video production is to showcase the cultural value of cassava as an essential part of the culinary identity of Tanah Priangan, while also highlighting its transformation from traditional food to modern culinary innovation with contemporary relevance and appeal. This work is expected to provide a more comprehensive visual representation of local food culture and raise public awareness about the importance of preserving culinary heritage as part of the nation's cultural wealth. The application of cinematographic techniques used not only strengthens the delivery of information but also effectively enhances the aesthetic quality of the work as a visual communication medium that can impact the audience emotionally and intellectually.

This study aims to explain the implementation of the three-act structure in scriptwriting for the feature video entitled “Jejak Rasa: Akar dari Tanah Priangan.” The background of this research is based on the tendency of audiovisual representations of cassava that remain partial, focusing only on either traditional or modern aspects without integrating both into a cohesive narrative. This study employs a qualitative approach based on creative practice, where the author acts as a scriptwriter responsible for designing the narrative flow using the three-act structure: set up, confrontation, and resolution. The production process consists of three stages: pre-production, production, and post-production, involving literature research, field observation, interviews with key informants, and the development of visual and audio narratives. The findings indicate that the implementation of the three-act structure successfully creates a systematic narrative that integrates historical, cultural, and modern dimensions of cassava transformation. This structure also effectively builds a coherent dramatic flow and enhances audience emotional engagement. The implications of this study are expected to provide references for academics and practitioners in developing research-based audiovisual scriptwriting, particularly in the context of local culture and gastronomy.

Male masculinity is a common theme in advertising. These potrayals often depict men as hardworking, resilient, and physically strong, thereby shaping an ideal male identity. This study uses Sara Mills’ critical discourse analysis perspective to examine the representation of the 2023 Extra Joss advertisement “Laki Buktikan!”. A qualitative descriptive approach is used, with data in the form of visuals, verbal narratives, and slogans that appear in advertising videos accessed via the TikTok application. The analysis will focus on the subjects and objects in the advertisement, the representation of masculinity, the position of the audience, the narrative structure, and the surrounding social context and gender ideology. The result of study show that the advertisement represents masculinity as an identity that must be continuously proven through strength, physical toughness, endurance, and a never-give-up attitude. Failure, defeat, and adversity are not condition that must be passively accepted, but rather condition demanding an active response from men to take concrete action. The advertisement not only promotes product, but also reproduces the ideology oh hegemonic masculinity by linking male self-proving to consuming Extra Joss energy drinks.

Women’s representation in legislative institutions is an important indicator for assessing the quality of democracy and gender equality in a political system. Indonesia has implemented an affirmative policy requiring a minimum quota of 30% female candidates in legislative elections. However, its implementation at the local level still faces various challenges. This study aims to analyze the phenomenon of tokenism and the forms of women’s political representation in the nomination and election process of members of the Cilegon City Regional House of Representatives (DPRD) for the 2024–2029 period. This research employs a qualitative method with a descriptive approach using literature review and secondary data analysis. The analysis is based on Hanna Pitkin’s theory of political representation, which categorizes representation into four types: formal, symbolic, descriptive, and substantive. The findings show that only 4 out of 40 seats in the Cilegon City DPRD are occupied by women, representing approximately 10% of the total membership, and this figure has remained unchanged compared to the previous period. This condition indicates a gap between the fulfillment of the female candidate quota at the nomination stage and the low level of electoral success. Furthermore, the political recruitment process within parties also reflects indications of tokenism, where female candidates are often included merely to fulfill administrative requirements without sufficient political support. As a result, women’s representation in the Cilegon DPRD tends to remain at the formal and descriptive levels, while substantive representation remains a challenge in local political practice.

This study aims to design and develop a waste complaint information system at the Environmental Agency of West Sumba Regency to improve the effectiveness of public services. The current problem lies in the manual complaint process, which leads to delays in handling reports, poor data documentation, and limited service transparency. This research employs a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation studies. The system development adopts the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is modeled using Unified Modeling Language (UML), including use case diagrams, activity diagrams, and sequence diagrams to provide a structured representation of the system. This approach is considered effective as it ensures a systematic and well-organized development process. The results indicate that the developed system facilitates the public in submitting complaints online and assists the agency in managing complaint data in an integrated manner. Furthermore, the system enhances response time, transparency, and service efficiency. Therefore, this waste complaint information system can serve as a technological solution to improve the quality of public services.

This study aims to analyze gender-based political violence in the 2020 Regional Head Elections in South Tangerang City and its impact on women’s representation in politics. The case analyzed involves social media attacks against Rahayu Saraswati Djojohadikusumo during her campaign for Deputy Mayor, in which an old photo of her while pregnant was used as material for sexually charged attacks. This study employs a qualitative method using a case study approach through literature review. The analysis utilizes Kate Manne’s theory of misogyny, which views misogyny as a social mechanism within the patriarchal system to control and discipline women entering the public sphere. The results of the study indicate that gender-based political violence manifests in the form of the moral delegitimization of women, digital intimidation or harassment, policing of women in public spaces, and the objectification of women’s bodies. These phenomena demonstrate that gender bias remains a barrier for women in securing equal space in local political contests.

The flash flood disaster that hit Indonesia, including the devastating disaster in three Sumatran provinces in November-December 2025 which resulted in more than 900 casualties and trillions of rupiah in losses, shows a strong correlation between environmental damage caused by corporate activities and increased disaster risk. The purpose of this study is to analyze corporate criminal liability for environmental damage resulting in flash flood disasters based on the Environmental Management Law (UU PPLH), examine the mechanism for proving corporate criminal liability, and evaluate the application of criminal sanctions against corporations that commit environmental damage resulting in flash flood disasters. The research method used is normative legal research with a descriptive analytical statute approach. Data collection techniques are carried out through library research and interviews with sources at the North Sumatra Provincial Environmental Service. The data obtained were analyzed qualitatively. The results of the study indicate that: First, corporate criminal liability for environmental damage resulting in flash floods has been comprehensively regulated in Articles 116 to 120 of the Environmental Management and Management Law, which recognizes corporations as subjects of criminal law and regulates the criteria for corporate crimes (committed by, for, or on behalf of a business entity), the responsible party (the business entity and/or the person giving the order/leader of the activity), a one-third aggravation of the sentence, and corporate representation in court, as reinforced by Supreme Court Regulation Number 13 of 2016. The conclusion of this study is that the Environmental Management and Management Law has provided a comprehensive legal framework for corporate criminal liability for environmental damage resulting in flash floods. However, the effectiveness of law enforcement still needs to be improved through accelerating the judicial process, strengthening the capacity of law enforcement, improving inter-agency coordination, and strengthening the decision execution mechanism.

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

The creation of institutional signature music is typically understood as a technical compositional process intended to accompany a performance. This study aims to elucidate how the music of the Rene Hu dance is constructed as a medium for representing institutional identity through the integration of local wisdom and organizational values. Utilizing an artistic autoethnographic approach, this research positions the creative experience of the composer as a reflective data source analyzed through both thematic and conceptual lenses. The findings indicate that the composition of Rene Hu music emerges from the interaction of cultural, ecological, and institutional dimensions, all mediated by the composer’s reflection as a strategic agent. The integration of Sentani traditions, the soundscape of Mount Cycloop, and digital technology forms a sonoric identity that represents both cultural legitimacy and the vision of the Papua Province Language Center. This study formulates the Reflective Sonoric Cultural Strategy Model, which explains the mechanisms of identity negotiation within the composition of such signature music. The novelty of this research lies in its conceptualization of institutional music as an arena for identity negotiation analyzed through the composer’s creative journey. This research offers a conceptual framework applicable to the creation of similar representational musical works.

The transformation of political communication in the digital era has fundamentally altered the ways political parties and their affiliated wing organizations interact with party cadres and the broader public. In Indonesia, party wing organizations such as Angkatan Muda Pembaharuan Indonesia (AMPI), Angkatan Muda Partai Golkar (AMPG), and other youth wings increasingly rely on social media as the primary medium for political cadre formation. However, this shift has not only created new opportunities for participation but has also generated structural problems, including the dominance of symbolic communication, the personalization of political elites, and the subordination of ideological discourse to the algorithmic logic of digital platforms. This article aims to critically examine how the digital political communication of party wing organizations operates within the context of Indonesia’s representative democracy, the extent to which it constitutes a deliberative public sphere for young cadres, and how such practices affect the quality of political cadre formation. Employing a critical paradigm and a transdisciplinary qualitative approach, the study integrates Habermas’s theory of the public sphere, Aeron Davis’s evaluation of democratic communication, and the concept of the mediatization of politics. The findings indicate that the digital communication of party wings tends to function primarily as an instrument of symbolic consolidation and loyalty mobilization rather than as an arena for dialogical political education. Consequently, digital cadre formation produces representational identities more than critical political consciousness. This article therefore recommends a reorientation of the digital political communication of party wing organizations toward deliberative and emancipatory models in order to strengthen internal party democracy and promote substantive political regeneration.

This study is motivated by the position of traditional music as a cultural element that not only functions aesthetically but also plays an important role in constructing social meaning, symbolism, and collective identity within a community. This article aims to examine the social meaning and function of Tagonggong music in the Tulude tradition of the Sangihe community in Londoun Village as a diaspora community. The research uses a qualitative method with a cultural ethnographic approach through participatory observation, unstructured interviews with traditional elders, Tagonggong players, and community leaders, as well as documentation. Data analysis was conducted descriptively and interpretatively using Alan P. Merriam's theoretical framework on the function of music. The results of the study show that Tagonggong music has a multidimensional function in the Tulude tradition, including symbolic communication, emotional expression, representation of cultural identity, reinforcement of social norms, and social integration and cohesion within the community.Tagonggong not only functions as an accompaniment to ceremonies, but also as a sacred musical instrument that connects the relationship between humans, ancestors, and God, while also marking the space and time of the ceremony. This finding confirms that Tagonggong is a living cultural archive that preserves the collective memory and ethnic identity of the Sangihe community in exile. Implicitly, this research enriches Indonesian ethnomusicology studies by positioning traditional music as an active social text in maintaining the cultural structure and solidarity of the communities that support it.

Physics learning requires students’ multirepresentational ability to understand concepts through verbal, mathematical, pictorial, or graphical forms. However, instruction at SMAN 1 Natal is still dominated by conventional methods, resulting in less active student participation and low multirepresentational skills. This study aims to determine the improvement of students’ multirepresentational ability after the implementation of the Problem Posing learning model on the topic of sound waves. The research employed a quantitative approach with a quasi-experimental design. The sample consisted of class XI MIPA 1 as the control class and class XI MIPA 2 as the experimental class. The research instrument was a multirepresentation test administered through pre-test and post-test. Data were analyzed using the Shapiro–Wilk test, the Mann–Whitney test, and the N-Gain test. The results of the normality test indicated that the data were not normally distributed; therefore, hypothesis testing was continued using the Mann–Whitney test, which yielded a significance value of 0.00 < 0.05. This result indicates a difference in the improvement of multirepresentational ability between the experimental and control classes. The N-Gain result for the experimental class was 49.40%, categorized as moderate. Thus, the implementation of the Problem Posing learning model in the experimental class resulted in an improvement that was lower than that of the control class

Indonesia, as a country with the highest seismicity in the world, requires an accurate earthquake prediction system through the use of the BMKG earthquake catalogue. This research aims to implement ETL-based data pipeline engineering to process 92,887 earthquake catalog entries for the 2008-2023 period into ready-to-use daily time series for the LSTM seismicity forecasting model. The ETL process includes raw data extraction, cleaning of 97% missing values columns on focal mechanism parameters, datetime conversion, daily resampling producing 5,200 entries with earthquake count, total magnitude, and average magnitude features, as well as Min-Max Scaler normalization for LSTM compatibility. The dataset was processed using Google Colab with a stacked LSTM architecture of two layers of 50 and 25 units, dropout 0.2, Adam optimizer, and a sequence window of 30 days to predict the daily earthquake count. The model trained for 100 epochs shows the ability to capture stable seismic activity trends with a consistent decrease in MSE loss, although it shows deviations in extreme spikes due to aftershock sequences. The ETL pipeline proved crucial in ensuring temporal consistency, 100% data completeness, and relevant physics representation, resulting in a reproducible end-to-end framework for disaster mitigation.