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Pulmonary Tuberculosis is a disease cause an infection by Mycobacterium tuberculosis which attacking the lungs. The problem that often appears is Respiratory system disorder that this symptomatically happens with shortness.  Shortness occurs due to an imbalance between oxygen demand and supply, thereby increasing respiratory effort and reducing patient comfort. A non-pharmacological measure to reduce shortness of breath is orthopnea positioning.This therapy aims to increase lung expansion, improve ventilation, and relax the respiratory muscles, thereby helping to reduce Asphyxiate in patients with pulmonary tuberculosis. To determine the effectiveness of orthopneic positioning in reducing dyspnea in patients with pulmonary tuberculosis. Case study design with 3 respondents who were placed in the orthopneic position for 5 minutes with a stopwatch used to measure respiratory rate The results of this study show that the orthopneic position is effective in reducing shortness of breath, as evidenced by Mr. R, who had a respiratory rate of 24 breaths per minute before being placed in the orthopnea position. After being placed in the orthopneic position, his respiratory rate decreased to19 breaths per minute. Mr. K's respiratory rate was 24 breaths per minute before being placed in the orthopneic position and decreased to 20 breaths per minute after being placed in the orthopneic position. Mr. M's respiratory rate was 24 breaths per minute before being placed in the orthopneic position and decreased to 19 breaths per minute after being placed in the orthopneic position

This paper attempts to explore the theological meaning of the Book of Job, particularly in the context of Job's suffering and God's justice. The author focuses this writing on understanding faith in suffering, with the aim of providing a deep interpretation of faith in suffering. The Book of Job is part of the Wisdom Books group consisting of 42 chapters, which discuss the suffering experienced by Job himself, and how he responded to the trials given to him by Satan with God's permission. This writing uses qualitative methods and a library research approach. This paper explains that the Book of Job provides a complex picture of the relationship between human suffering and God's justice. The main finding in this writing is highlighting the urgency of deep reflection on trust, tests of faith, and the meaning of life, leading to the conclusion that suffering is interpreted as an instrument of refining faith in God, then guiding believers towards His will and providence. Therefore, the conclusion of this paper is that suffering is interpreted as an instrument of priesthood of God, which then guides humans who believe in God's will and providence.

This study aims to analyze the implementation of Artificial Intelligence (AI)-based learning media and its implications for student learning motivation in Islamic Religious Education (PAI). This study uses a systematic literature review approach by examining various reputable scientific articles discussing the integration of AI in education and the dynamics of learning motivation in the context of PAI. The results of the study indicate that the use of AI through adaptive learning systems, educational chatbots, gamification, and learning analytics can increase the effectiveness, personalization, and interactivity of learning. This implementation has a positive impact on cognitive motivation through increased conceptual understanding, affective motivation through active participation and emotional engagement, and spiritual motivation through strengthening reflection and internalization of Islamic values. However, ethical challenges, the risk of depersonalization of the teacher's role, and inequality in digital access are crucial issues that require policy attention and human-centered pedagogical design. Theoretically, this study offers an integrative conceptual framework that combines technological innovation with Islamic educational epistemology. Practically, the results of this study provide recommendations for teachers, schools, and policymakers to develop AI-based PAI learning models that are adaptive, ethical, and oriented towards character building.

This study aims to explore the effectiveness of various intervention strategies, including counseling services, learning strategies, and occupational therapy in treating children with Attention Deficit Hyperactivity Disorder (ADHD). Through a qualitative method based on literature studies, this study applies systematic data processing to evaluate the impact of a holistic approach on children's behavior and concentration. Analysis is carried out through data reduction procedures, data presentation, and verification of conclusions to measure the extent to which a holistic approach influences the development of children's behavior and concentration abilities. The results of the study indicate that multimodal approaches, such as Cognitive Behavior Therapy (CBT) and occupational therapy, are effective in improving children's self-control, emotional regulation, and motor skills. In addition, the implementation of an Individual Learning Program (IPP) in schools and intensive collaboration with parents play a major role in creating a supportive environment for children with ADHD. This study concludes that integrated treatment between behavioral interventions and the success of optimizing children's potential depends heavily on the integration of professional behavioral treatment with active support from the family.

State finances rely heavily on tax revenues, yet tax avoidance remains a persistent obstacle that can reduce government income. This practice is commonly associated with internal corporate conditions. Therefore, this research examines how profitability, leverage, firm size, and capital intensity relate to tax avoidance behavior. Employing a descriptive design with a Systematic Literature Review (SLR), the study evaluates ten empirical articles published between 2021 and 2025 in Sinta and Scopus indexed journals. The analysis indicates that the influence of these internal factors varies across studies. Profitability and leverage demonstrate contradictory effects, as strong earnings and higher debt may stimulate aggressive tax planning through tax shields, but may also restrain avoidance to preserve corporate image. Firm size likewise presents inconsistent results due to regulatory and public attention. In contrast, capital intensity generally shows minimal influence because investments in fixed assets are directed toward operational efficiency. These findings provide valuable considerations for policymakers to strengthen tax deduction regulations and encourage responsible corporate tax compliance.

The principle of good faith constitutes a fundamental element within Indonesia’s trademark law system, particularly in processes ranging from trademark registration to the cancellation of registered marks. This study examines the role of the good faith principle as a primary legal foundation for trademark annulment, using the dispute over the Minyak Kutus Kutus trademark as a case study. The conflict emerged when the trademark was registered by an individual who was not the original creator, leading to legal disputes and judicial examination. This research adopts a normative juridical method by analyzing various legal sources, including statutory regulations, court decisions, and relevant legal doctrines. The findings indicate that the principle of good faith is not merely an ethical norm but also functions as an important legal instrument to protect the legitimate rights of original trademark owners from attempts of unlawful control through bad-faith registration. Furthermore, the court’s decision in the Kutus Kutus case demonstrates the crucial role of enforcing the good faith principle in maintaining legal certainty while ensuring protection for fair and honest business actors in Indonesia’s trademark system.

This systematic literature review analyzes previous studies on impact of educational technology on students’ behavioural engagement in English language learning. The integration of educational technology in English classroom has increased significantly in order to address students’ low participation, limited attention, and passive learning behaviour. Various digital tools such as digital storybooks, digital storytelling, multimedia learning platforms, and interactive online applications have been implemented to promote students’ active participation. This review followed the prefered Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to ensure a systematic and transparent review process. Relevant journal articles published between 2020 until 2025 were identified through Google Scholar, ResearchGate, and Publish or Perish. A total of 15 articles met the conclusion criteria and were analysed in this study. The findings indicate that educational technology positively influences students’ behavioural engagement, which is reflected in increased participation, attention, interaction, and task completion in English leraning contexts.The review higlights that the appropriate intergration of educational technology can support more interactive and learner-centred English language learning environments.

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.

The IV infusion process will cause pain that can be disturbing for children. Pain is a form of uncomfortable sensation that is felt personally by each individual. In addition, there will be changes in vital signs such as increased pulse, blood pressure, and respiration so that it will be an unpleasant experience for children. Non-pharmacological therapy as an intervention to reduce pain perception in children and increase comfort during medical procedures. One form of non-pharmacological technique is audio visual distraction using a smart book. Smart books are fun and interactive play therapy that can support cognitive, fine motor, and sensory aspects in children and to divert children's attention from pain by displaying more pleasant and interesting images and musical sounds so that it can reduce the pain scale after IV installation. The design used in the preparation of this Final Scientific Paper for Nurses is a case study with an intervention in the form of audio visual distraction using a smart book for ± 10 minutes. The number of respondents was 3 people, the intervention was carried out on September 14, October 7, and November 24, 2025, located in the Theresia Charitas Hospital Palembang room. After the smart book audio visual distraction therapy, there was a decrease in the pain scale for 3 respondents, namely in An. A from a pain scale of 7 to a pain scale of 4, An. G from a pain scale of 10 to a pain scale of 4, and An. R from a pain scale of 7 to a pain scale of 4. The application of EBP smart book audio visual distraction therapy can be used to reduce the pain scale in preschoolers after IV installation.

Bullying is a psychosocial hazard that can occur in the school environment and may negatively affect students’ mental health, social interactions, and learning processes. Bullying can take various forms, including physical, verbal, and psychological actions that occur repeatedly and cause victims to experience emotional distress, decreased learning motivation, and feelings of insecurity at school. This Community Service Program (PKM) aimed to increase high school students’ knowledge and awareness regarding the dangers of bullying and its prevention through the principles of Occupational Safety and Health (OSH). The methods used in this activity included delivering educational materials through lectures, conducting question-and-answer sessions to assess students’ initial understanding, and facilitating interactive discussions to encourage active participation. Monitoring and evaluation were also conducted to assess the effectiveness of the activity. The results of the program indicated a significant improvement in students’ understanding and awareness of the forms, impacts, and prevention strategies related to bullying in the school environment. Students also demonstrated a more critical attitude toward bullying behavior and a greater awareness of the importance of creating a safe, healthy, and respectful school environment. The application of an OSH-based approach in bullying prevention is expected to strengthen the safety culture in schools and support the development of a conducive learning environment for all students.  

The rapid development of social media, particularly TikTok, has transformed digital marketing strategies by emphasizing influencer endorsement and content marketing to reach Generation Z consumers. This generation is characterized by high social media usage and strong responsiveness to visual content and influencer recommendations. This study aims to analyze the effect of influencer endorsement and content marketing on the purchase intention of Generation Z TikTok users toward Antarestar products in Makassar City, both partially and simultaneously. This study employed a quantitative approach with an associative research method. The population consisted of Antarestar consumers residing in Makassar City, and the sample was determined using purposive sampling. A total of 140 respondents who met the research criteria were involved in this study. Data were collected through a questionnaire using a five-point Likert scale and analyzed using multiple linear regression analysis with the assistance of IBM SPSS Statistics software. The results of this study indicate that (1) influencer endorsement has a positive and significant effect on the purchase intention of Generation Z TikTok users toward Antarestar products, (2) content marketing has a positive and significant effect on purchase intention, and (3) influencer endorsement and content marketing simultaneously have a positive and significant effect on the purchase intention of Generation Z TikTok users toward Antarestar products in Makassar City. The findings conclude that the effectiveness of Antarestar’s digital marketing on TikTok is strongly influenced by credible and attractive influencers as well as relevant, informative, and consistent marketing content. Therefore, optimizing influencer endorsement and content marketing strategies is essential to enhance purchase intention among Generation Z consumers.

The phenomenon of digital da'wah has significantly transformed the ways religious knowledge is accessed, interpreted, and disseminated in contemporary society. This study aims to analyze the patterns of actions and perceptions of TikTok and YouTube users toward religious content delivered by Gus Baha within the context of the digital religious space. Using Max Weber’s theory of rationalization as an analytical framework, this research explores how religious authority, knowledge transmission, and user interpretation undergo processes of rationalization on digital platforms.This study employs a qualitative approach using virtual ethnography, content analysis, and in-depth interviews with users of both platforms. Data were collected through observation of uploaded content, analysis of user interactions and comments, and examination of engagement dynamics.The findings indicate that user responses to Gus Baha’s content reflect Weber’s four types of social action. Instrumentally rational actions are evident in the use of short videos as practical and efficient learning tools. Value-oriented rational actions appear in users’ consistent efforts to deepen religious understanding. Affective actions emerge from emotional attachment to Gus Baha’s communicative style, while traditional actions are reflected in the perception of digital da'wah as a continuation of established religious learning traditions. Furthermore, digital rationalization through algorithms, short-video formats, and platform accessibility, shapes how religious knowledge is selected, interpreted, and circulated.This study concludes that digital religious spaces function not only as channels of dissemination but also as arenas for the transformation of religious authority, meaning construction, and religious practice in the digital era.

In contemporary higher education, English for Specific Purposes (ESP) is increasingly expected to prepare learners for meaningful professional participation rather than isolated linguistic performance. Nevertheless, ESP pedagogy has often remained predominantly skill-oriented, with limited conceptual integration of pedagogical innovations such as project-based learning and digital learning. This study presents a systematic literature review of 40 peer-reviewed studies examining how ESP pedagogy is being reframed as situated professional practice through the integration of project-based and digital learning. Following the process of thematic synthesis, the review provides an examination of what ESP learning is perceived to be, how it is conducted and how it is evaluated in different disciplines and countries. Results show a marked pedagogical transition from a language-centric approach to one that incorporated more authenticity, collaboration and professional concern. Reported learning attainments go beyond language to cover professional capability, digital literacy, autonomous learning and identity development. Project-based learning authenticates language use in professional workflows, and digital learning environments support multimodal communication reminiscent of the way people work today. This review contends that in combination, these perspectives re-conceptualise the pedagogical nature of ESP as a type of applied professional education ’realised’ within particular social, institutional and discipline specific contexts. By synthesizing empirical evidence across settings, the study offers a conceptual reframing of ESP pedagogy and outlines implications for curriculum design, assessment, and future research in higher education and the social humanities.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

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

Dysmenorrhea or menstrual pain, is a common health issue among adolescent girls, often disrupting daily activities and quality of life. Effective management of dysmenorrhea is strongly influenced by the level of knowledge and attitudes of adolescent girls toward this condition. This literature review aims to analyze the relationship between knowledge and attitudes regarding the management of menstrual pain among adolescent girls. Various studies indicate that while adequate knowledge about dysmenorrhea is important, the correlation between knowledge and attitude is not always significant. Some research finds that good knowledge does not necessarily translate into a positive attitude towards pain management, as other factors such as stress, anxiety, and reluctance to take action also play a role. However, there are studies that show a positive relationship between increased knowledge and better attitudes toward dysmenorrhea management,  although the strength of this association is very weak. Most adolescents tend to choose non-pharmacological management, such as rest and warm compresses, but many still ignore menstrual pain due to a lack of knowledge and information. Therefore, educational interventions and counseling in schools are essential to improve knowledge and foster positive attitudes in managing dysmenorrhea among adolescent girls. These efforts are expected to help adolescent girls manage menstrual pain more effectively and enhance their quality of life.

The Fruit of the Spirit is an important theological value to teach children because it contains points for everyday behavior. However, learning about the Fruit of the Spirit often encounters obstacles and is difficult for children aged 8-12 years to understand because it is considered too abstract and difficult to convey in simple language. Furthermore, obstacles come from the learning media used which are still conventional. Therefore, effective learning media are needed that can attract the interest and motivation of children to want to learn and apply the Fruit of the Spirit in everyday life, such as board games. In board games, there are components that can attract emotions and can be used as media, namely character pawns. The method used is the Design Thinking method with descriptive analysis. This approach is used to analyze data from the results of observations, interviews, literature studies, and questionnaires, as well as to develop concepts and design results. Thus, the character pawns can be created with a human-centered design approach, which is able to create visuals that have a close relationship with children's psychology.

Data from the National Commission on Violence Against Women (Komnas Perempuan) shows that between May 2022 and December 2023, there were 4,179 cases of sexual violence, including 2,776 cases of Electronic-Based Sexual Violence (KSBE) and 623 cases of rape. Adolescents' knowledge and attitudes play a crucial role in preventing sexual violence in schools. Objective: To determine the level of adolescents' knowledge and attitudes regarding sexual violence prevention at State Senior High School 1 Surakarta. Methods: A quantitative descriptive study with a cross-sectional approach involving 89 students in grades X and XI was conducted on January 20, 2026. Results: The results showed that most respondents had good knowledge (65 respondents, 73.0%), and 3 respondents (3.4%) had poor knowledge. The results also showed that most respondents had good attitudes (44 respondents, 49.4%) and 9 respondents (10.1%) had poor attitudes. Conclusion: Most Students had good  knowledge and attitudes regarding sexual violence prevention at SMA Negeri 1 Surakarta.

Advances in digital technology have triggered a major transformation in the way marketing is conducted, particularly through the use of social media as a communication tool for marketing. Instagram has become one of the most popular platforms among businesses due to its focus on visual appeal and the various interactive features it offers that can strengthen the bond between brands and customers. The purpose of this study is to evaluate the content marketing methods used by @PrefekturCoffee's Instagram to increase customer purchase interest. This study was conducted using a qualitative approach and case study. Data collection techniques were carried out through in-depth interviews with the business owner, observation of Instagram content, and documentation. Data analysis was conducted using Miles and Huberman's interactive model, which includes data reduction, data presentation, and conclusion drawing. The results of the study indicate that Prefektur Coffee implements a content marketing strategy that emphasises visual consistency, message relevance, and the utilisation of Instagram features such as feeds, stories, reels, and highlights. This strategy is capable of building attention, interest, information search, purchase action, and encouraging customers to share their experiences in line with the AISAS model (Attention, Interest, Search, Action, Share). It is hoped that this research will contribute theoretically to digital marketing communication research and provide practical guidance for businesses on how to optimise content marketing strategies for Instagram.

The purpose of the study was to analyze the legality and limits of police repressive actions against protests that resulted in riots. This type of research is normative legal research with a legislative approach, a case approach and a conceptual approach. The analysis used in this study is an analytical descriptive technique. The results of the research show that the law is always used as a guideline in limiting all citizens' behavior to stay on the right path. Protests often lead to riots, destruction of public facilities, attacks on officers, and violations of public order, so that there is a criminal threat for protesters who do not maintain order and security. The regulation of police repressive actions in protests that result in chaos still needs special refinement in the context of protests, among which the substance of repressive actions must also harmonize technological developments and digitalization in security maintenance. The rules need to be updated by adding objective indicators of threats, public accountability mechanisms, transparent documentation obligations, measurable proportionality standards, and room for recovery for victims of abuse of power.