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This study is motivated by the importance of politeness strategies in film discourse as a reflection of social interaction and cultural values. It aims to identify the types of politeness strategies used in the film Dilan 1990 and to determine the most dominant strategy along with its contextual use in interpersonal interactions, based on Brown and Levinson’s framework. Employing a descriptive qualitative method, the data consist of 40 utterances containing potential face-threatening acts. The data were analyzed through identification, classification, and interpretation according to four politeness strategies: Bald on Record, Positive Politeness, Negative Politeness, and Off-Record. The findings reveal that all four strategies appear in the film dialogues, with Positive Politeness as the dominant strategy, indicating closeness, humor, and social solidarity, particularly between the main characters, Dilan and Milea. Bald on Record is mainly used in instructional and hierarchical relationships, while Negative Politeness and Off-Record occur in more sensitive situations or when indirect meanings are intended. These results imply that Dilan 1990 represents politeness values within Indonesia’s collectivistic culture, especially in youth communication that emphasizes harmony and social cohesion.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in economic development; however, their competitiveness is often constrained by weak branding and limited digital marketing capabilities. This community engagement program aimed to strengthen brand identity and digital capacity of the “Pukle” catfish cracker MSME in Karangsuwung Village, Cirebon Regency, through an integrated branding and sharia-based digital marketing approach. A participatory–collaborative method was employed, consisting of needs assessment, Workshops, technical mentoring, and monitoring and evaluation. The interventions included the development of brand identity elements (logo, tagline, and visual guidelines), improvement of informative packaging, activation and optimization of WhatsApp Business, and utilization of TikTok Shop as a social commerce channel. In addition, a standard operating procedure for sharia-compliant digital content based on the principles of shiddiq (truthfulness), amanah (trustworthiness), fathanah (competence), and tabligh (communicativeness) was formulated to enhance consumer trust. The results indicate improvements in product professionalism, digital channel management, content consistency, and customer interaction. The integration of branding and sharia digital marketing proved relevant in building differentiation, expanding market access, and strengthening long-term business reputation. The program highlights that MSME digital transformation requires capacity building, continuous mentoring, and ethical value integration to ensure sustainable competitiveness.

High school adolescents are in a vulnerable developmental phase towards emotional and behavioral problems due to rapid biological, cognitive, and social changes. Limitations in emotional management can trigger the emergence of problematic behavior, such as aggressiveness, violations of school rules, conflicts with peers, and bullying, both directly and through digital media. This article aims to analyze problematic behavior in high school adolescents from the perspective of emotional conditions. This study used a qualitative approach with a literature review method of 20 national and international scientific articles obtained through Google Scholar and analyzed descriptively-thematically. The results of the study indicate that adolescent problematic behavior is influenced by the interaction of individual, family, school, and social environment factors that are increasingly complex. Low emotional regulation and emotional intelligence increase the tendency for maladaptive behavior, while family support, a conducive school climate, and Guidance and Counseling services act as protective factors. Therefore, a holistic and sustainable approach is needed through strengthening emotional intelligence, preventive Guidance and Counseling services, and the development of life skills to support the social-emotional development of adolescents.

This study explores the principal’s leadership strategies and the role of organizational climate in improving teacher work discipline. Teacher discipline is a crucial element in ensuring instructional quality, professional accountability, and sustainable school performance. A qualitative case study approach was employed to obtain an in-depth understanding of leadership practices implemented in the natural setting of the school. Data were collected through in-depth interviews, participatory observations, and document analysis involving the principal, vice principals, and teachers. The findings reveal that discipline improvement is shaped by exemplary leadership, dialogic communication, continuous coaching, and the application of humanistic regulations supported by moral and social rewards. In addition, a collegial and supportive organizational climate strengthens collective awareness and encourages teachers to comply with professional standards voluntarily. Discipline is therefore constructed not merely through administrative control but through shared values and social interaction. This study contributes to educational leadership literature by providing contextual evidence of how leadership practices interact with organizational environments in shaping teacher behavior. Practically, the findings offer guidance for school leaders in designing participatory and sustainable discipline development strategies.

Advances in information technology have changed the way humans obtain and manage information, including in the world of education. School websites have become an important medium for conveying academic, administrative, and school activity information quickly and efficiently. However, not all educational institutions are able to optimize the functions of their websites. This study was conducted to determine user satisfaction with the website of SMP Negeri 5 Kota Jambi using the Webqual 4.0 model and Importance Performance Analysis (IPA). The research method used was a descriptive quantitative approach with data collection through the distribution of questionnaires to 291 respondents from a total population of 1,065 students. The analysis was conducted by measuring the three main dimensions of Webqual 4.0, namely usability quality, information quality, and service interaction quality, then using IPA to map service improvement priorities. The results showed that most users were satisfied with the quality of the website, particularly in  terms of ease of use and service interaction. However, the timeliness of information updates and the responsiveness of the display on mobile devices still needed improvement. Recommendations for improvement focused on the dimensions in the "Concentrate Here" quadrant of the IPA analysis.

MICE tourism (Meetings, Incentives, Conferences, Exhibitions) is a sub-sector with high economic value and a unique capacity to play a diplomatic role through interaction between international actors. At the regional level, the ASEAN (Association of Southeast Asian Nations) Summit (Summit) has been used by Indonesia not only for economic purposes, but also as an arena for public diplomacy and soft power development. This article examines how the ASEAN Summit (especially the series of ASEAN 2023 activities spread across several locations including Labuan Bajo, Yogyakarta, and Jakarta) shows the function of MICE as a soft power instrument in Indonesian tourism diplomacy. By combining a literature review on soft power and tourism diplomacy, an analysis of official documents, MICE industry reports, and a case study of the 2023 ASEAN Summit, this paper identifies the mechanisms of influence, determinants of effectiveness, economic and reputational impact, and policy challenges. The results show that the ASEAN Summit provides a great opportunity for nation branding and international public engagement, but its effectiveness depends on policy synergy, MICE infrastructure readiness, image management, and post-event strategies to turn temporary exposure into long-term benefits.

Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implementation-ready heart disease screening framework through the integration of SHAP-based Explainable AI. The CDC's Indicators of Heart Disease dataset (319,795 samples) was processed according to WHO/CDC standards, followed by class imbalance handling, hyperparameter optimization using RandomizedSearchCV, evaluation based on metrics sensitive to minority classes (AUC, recall, F1-score, AUC-PR), and threshold tuning to maximize recall. The baseline model showed a very low recall of 12.18%. After optimization and threshold tuning at 0.10, the model achieved recall >96% (96.79%) with a G-mean of 0.7477, supported by SHAP interpretation stability and the ability to capture non-linear interactions between advanced age (AgeCategory_WHO) and poor general health (GenHealth). SHAP analysis confirmed the alignment of dominant features with medical evidence, and its visualizations provide transparent explanations for healthcare professionals indicating its potential implementation as an interpretable clinical decision support system.

This study aims to: (1) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension and self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan; (2) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension of 10th-grade students at SMA Negeri 3 Tarakan; (3) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan. The research population included all tenth-grade students of SMA Negeri 3 Tarakan in the 2024/2025 academic year. The research sample consisted of two classes selected randomly: one experimental class receiving discovery learning with an aptitude treatment interaction strategy and one control class receiving conventional learning. The research instruments consisted of a test measuring mathematical concept understanding on trigonometry material and a self-efficacy questionnaire. The data obtained were tested for prerequisites through normality and homogeneity tests before being analyzed using inferential statistical tests in the form of an independent samples t-test with the assistance of SPSS software version 26.0. The research results show that the implementation of the discovery learning model with the aptitude-treatment interaction strategy has a significant impact on students' mathematical concept understanding and self-efficacy simultaneously, with a significance value of 0.006 < 0.05. Partially, this learning model has a significant effect on students' mathematical concept understanding, with a significance value of 0.018 < 0.05. However, the effect of the discovery learning model with the aptitude-treatment interaction strategy on students' self-efficacy is not statistically significant, as indicated by a significance value of 0.089 > 0.05, even though there is a tendency for increased self-efficacy among students participating in the experimental class learning. Nevertheless, the influence of the discovery learning model with the aptitude treatment interaction strategy on students' self-efficacy is not statistically significant in partial terms, although there is a tendency for an increase in self-efficacy among students participating in the experimental class. These findings suggest that the discovery learning model with the aptitude treatment interaction strategy is effective in improving students' understanding of mathematical concepts in trigonometry material and has the potential to support the development of self-efficacy in mathematics learning.

The rapid development of e-commerce has significantly increased the participation of Micro, Small, and Medium Enterprises (MSMEs) in the digital economy, particularly through the use of pre-order transaction schemes. Although Indonesia has established a relatively comprehensive legal framework for consumer protection and electronic transactions, pre-order transactions involving MSME products remain highly vulnerable to fraud. This study aims to analyze the effectiveness of legal regulation and implementation of consumer protection in pre-order transactions conducted through e-commerce platforms, to identify legal, institutional, and social factors contributing to consumer vulnerability, and to examine the role of the state and e-commerce platform providers in strengthening consumer protection as a public policy. This research employs a normative legal research method with a prescriptive-analytical character, utilizing statutory, conceptual, and case approaches. The findings reveal that existing consumer protection mechanisms remain partial and predominantly reactive, as they do not specifically accommodate the inherent risks of pre-order transactions nor are they supported by preventive supervision and enforcement mechanisms. Consumer vulnerability arises from the interaction between regulatory gaps, institutional limitations, and social conditions such as information asymmetry and low legal and digital literacy. Accordingly, this study emphasizes the necessity of a synergistic role between the state and e-commerce platforms in developing and implementing consumer protection policies oriented toward substantive justice and fraud prevention in the digital economy.

This research develops a machine learning model to classify customer loyalty using the Random Forest algorithm. Customer churn is a critical issue that reduces revenue and increases acquisition costs. A dataset of 50,000 customers from global e-commerce and subscription platforms was processed through data cleaning, imputation, outlier handling, and class balancing with SMOTE. The Random Forest model was built as a baseline and optimized with hyperparameter tuning. Evaluation using accuracy, precision, recall, and F1-score shows that the optimized model achieved 90.81% accuracy and 83.87% F1-score, outperforming previous Naïve Bayes approaches. Feature importance analysis highlights customer service interactions, lifetime value, and demographic factors as key predictors of churn. These findings demonstrate Random Forest’s effectiveness in churn prediction and provide practical insights for customer retention strategies

First-year university students undergo a transitional phase from the school environment to the academic, social, and emotional demands of higher education. This transition often triggers stress when not supported by an adequate social environment. Peer support plays an essential role in this adaptation process by providing emotional support, information, and a sense of belonging. Positive peer relationships can help students manage academic pressure, whereas poor peer interactions may increase the risk of stress. Therefore, peer support serves as a protective factor in maintaining the psychological well-being of first-year students. This study employed a quantitative approach with a cross-sectional design. Data were collected using the Peer Support Questionnaire (PSQ) and the Student-Life Stress Inventory (SSI) from 130 first-year students of the Faculty of Pharmacy, UNISSULA. The sampling technique used was simple random sampling. Data were analyzed using the Gamma correlation test to determine the relationship between the variables. The Gamma test revealed a p-value of 0.000 (<0.05), indicating that the alternative hypothesis was accepted, meaning there is a significant relationship between peer support and stress levels among first-year students. The correlation coefficient of –0.737 indicates a strong negative relationship, suggesting that higher peer support is associated with lower stress levels. There is a significant and strong relationship between peer support and stress levels among first-year students at the Faculty of Pharmacy, UNISSULA.

This study aims to identify, analyze, and describe in depth the types of coordinating verbal phrases (FV) and subordinating verbal phrases (FV) contained in Detik.com news texts published in September 2025. Based on the fundamental role of language as a means of communication and social interaction (syntax), the object of research is focused on FV as a grammatical unit that has a verb core and functions as a predicate. This study uses a qualitative descriptive method with a syntactic theoretical approach. Data collection was carried out through the technique of listening and taking notes on Detik.com news texts, while data analysis was applied using the distribution method, where the determining tool comes from the linguistic elements themselves. The results of the study showed the discovery of a total of 13 verbal phrases divided into 3 coordinating FVs and 10 subordinating FVs (including the patterns Adv + V, V + Adv, V + Adj, and V + N). In detail, 3 coordinating FVs, 3 FVSs with Adv + V pattern, 2 FVSs with V + Adv pattern, 2 FVSs with V + Adj pattern, and 3 FVSs with V + N pattern were found. This finding emphasizes the importance of understanding phrase structure in maintaining clarity of meaning. This research is expected to improve readers' literacy understanding and serve as a scientific reference for similar linguistic studies.

This study aims to evaluate the implementation of the At-Turats Book Study Program using the Context, Input, Process, and Product (CIPP) evaluation model to provide an overview of the program’s relevance, resource readiness, implementation, and outcomes. The research method used is descriptive qualitative, with data collection techniques through observation and interviews. The results show that in terms of context, the study of classical texts meets the needs of the santri and aligns with the vision of Ma’had Al-Jami’ah, which aims to deepen religious and cultural understanding. In terms of input, the program is supported by qualified instructors and representative classical reference books, although there are still limitations in the number of teachers, the varying abilities of the santri, and supporting facilities. Regarding the process, the study is carried out using the halaqah method with a bandongan approach, which is relatively consistent, although the participation and interaction of the santri are limited. Some santri are still hesitant to engage actively in discussions, which can reduce the effectiveness of learning. In terms of product, the program has a positive impact, including an improvement in religious understanding, the development of more moderate and tolerant religious attitudes, and enhanced ability to comprehend classical texts among some of the santri. Overall, the program has achieved its main objectives but still requires improvement in terms of facilities and interaction during the learning process.

This study examines the relationship between Dayak cosmology and Christian spirituality through the inculturation of the Munjong tradition within Catholic Dayak Tobak communities in Dusun Batu Besi, Desa Sejotang, West Kalimantan. As a post-harvest thanksgiving ritual, Munjong embodies a symbolic framework reflecting the interconnectedness of humans, nature, ancestors, and Jebata within the Dayak worldview. The tradition functions not only as a religious expression but also as a means of preserving cultural identity and fostering social cohesion. Within a predominantly Catholic context, Munjong has undergone reinterpretation, aligning with Eucharistic spirituality as the Church’s central expression of gratitude. Using a descriptive-qualitative approach combined with symbolic interaction analysis, this study shows that the religious values embedded in Munjong, including: gratitude, petitions for protection, and veneration of ancestors as spiritual mediators, correspond with Catholic teachings on divine providence, the communion of saints, and the sacredness of creation. The local Church recognizes Munjong as a cultural practice suitable for inculturation, provided it aligns with Christian doctrine, thereby offering opportunities for contextual liturgy and catechesis. The findings suggest that Munjong can serve as a bridge between faith and local culture while simultaneously reinforcing cultural identity and deepening the spiritual life of the community. The result of this study contributes to the discourse on inculturation, contextual pastoral practice, and strategies for sustaining indigenous traditions amid social change.

The global environmental crisis has had an impact on religious educational environments such as Islamic boarding schools. The phenomenon at Pondok Pesantren X Malang shows a gap between the normative knowledge of students about cleanliness and their actual behavior, such as the habit of littering. This study is based on the hypothesis that students' ecological awareness is formed through the interaction between knowledge, experience, and the social context in the pesantren. The research method uses an exploratory qualitative approach with a grounded research design through in-depth interviews, participatory observation, and documentation of six students aged 10–12 years. The results revealed three main themes: knowledge about trash (45%), irresponsible habits (34%), and active awareness (21%). These findings confirm that although santri have a fairly good initial understanding, behavioral change is still hindered by social habits. In conclusion, strengthening reflective education, the exemplary role of ustadz, and institutional support are crucial for building sustainable ecological awareness in Islamic boarding schools.

The increasing sedentary lifestyle in the digital era has the potential to cause various health problems due to lack of physical activity. One approach that can be taken to encourage physical activity is through the use of digital games with body movement-based control mechanisms. This study aims to develop a body gesture-based game character control system using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model. CNN is used to extract spatial features from each video frame, while LSTM serves to model the temporal relationship between frames so that movement patterns can be recognized sequentially. The research method used refers to the Machine Learning Lifecycle stages, starting from data collection, preprocessing, model development, to implementation in the endless runner game genre. Testing results show that the CNN–LSTM model is capable of classifying body gestures and generating outputs that can be used as commands to control game characters. The implementation of this system enables more natural and interactive game interactions without conventional input devices, and has the potential to encourage players to lead a more active lifestyle.

Background: TikTok usage among adolescents is increasing and has the potential to impact psychological aspects, particularly self-esteem. Adolescents, who are in the stage of developing their identity, are vulnerable to the influence of interactions and social comparisons on social media. Therefore, this study aims to determine the relationship between TikTok usage behavior and self-esteem levels in students at SMA Negeri 2 Semarang. Method: This study employed a descriptive correlational research design with a cross-sectional approach. The population consisted of 424 students from grade 11 at SMA Negeri 2 Semarang. Sampling was conducted using the Simple Random Sampling technique, resulting in a total sample of 206 respondents, determined by the Slovin formula. Bivariate analysis was carried out using the Spearman Rank Correlation test. Result: The results of the Spearman Rank statistical test showed a correlation coefficient (r) of -0.412 with a significance value of 0.000. The negative correlation indicates an inverse relationship between TikTok usage behavior and students’ self-esteem levels, meaning that the higher the intensity of TikTok use, the lower the self-esteem of the students. The correlation coefficient of 0.412 falls within the category of a moderate relationship. Conclusion: There is a significant relationship between TikTok usage behavior and self-esteem levels among high school students.

Customer churn is a strategic challenge for digital streaming platforms because it directly Impacts revenue and business sustainability. This study aims to analyze the factors influencing customer Churn and develop a churn prediction model using the Random Forest algorithm. The study uses a Quantitative approach with an explanatory design and utilizes secondary data from the Netflix Customer Churn and Engagement Dataset available on Kaggle. The dataset consists of 1,000 customer data with 16 Variables covering demographic characteristics, service usage behavior, financial condition, and customer Satisfaction level. The data was processed through preprocessing, one-hot encoding, and a 70:30 split Between training and test data. Model performance was evaluated using accuracy, precision, recall, F1 Score, and ROC-AUC metrics. The results show that the Random Forest model produces an accuracy of 53.7%, precision of 56.3%, recall of 63.6%, F1-score of 59.7%, and ROC-AUC of 0.534, indicating Moderate predictive ability and only slightly better than random classification. Feature importanceAn.evealed that user engagement levels, such as viewing duration and frequency of interactions, Were the most dominant factors influencing churn, followed by economic factors and customer satisfaction. The results of this study are expected to provide a basis for streaming platforms to design more effective Customer retention strategies.

This study explores the influence of Electronic Word of Mouth (E-WOM) on Umrah ticket purchasing decisions through the Instagram account @umrohbarengyuk.id. In today’s digital era, social media serves as a primary channel in shaping consumer perceptions of services, particularly in religious travel industries like Umrah. E-WOM, consisting of interaction intensity, opinion valence, and content quality, plays a vital role in providing trustworthy information and building consumer confidence. Using a quantitative method involving surveys and simple linear regression analysis, the study finds that digital reviews and testimonials strongly influence prospective pilgrims’ decisions. The @umrohbarengyuk.id account is perceived as providing transparent, responsive, and relevant communication, making it a key reference in users’ information-seeking and service evaluation processes. These findings reinforce E-WOM as a powerful digital marketing communication strategy that not only increases service appeal but also enhances customer trust and purchasing confidence. The study offers practical insights for Umrah service providers in developing personalized, credible digital content and strategies to reach broader audiences effectively.

The development of multimedia-based interactive games requires a system capable of effectively managing game logic, character behavior, and the integration of visual and animation elements. This study aims to implement GDScript in the development of a 2D RPG game using the Godot Engine. The research method was carried out through the design of scene and node structures, the implementation of game logic using GDScript, and the application of Finite State Machine (FSM) to regulate enemy behavior. GDScript is used to control character movement, animation systems, and interactions between players and objects in the game. The implementation of FSM allows enemies to have dynamic behavior through state settings such as idle and wander. Functional testing results show that the game system can run according to the design and is capable of producing responsive interactions. In addition, the use of modular architecture in the Godot Engine facilitates system development and maintenance. Based on the research results, the Godot Engine and GDScript are considered effective for developing multimedia-based interactive games.