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Increased caffeine intake is commonly used by students to cope with academic demands, especially during examinations and the completion of final projects. Excessive caffeine consumption may affected sleep quality and potentially influence nutritional status. This study aimed to determine the correlation between caffeine intake, sleep disturbances, and nutritional status among final – year unsergarduated students at Dr. Soekardjo University. This study used quantitative approach with an observational analytic and cross-sectinal design. A total of 108 students participated in the study. Data were collected using questionnaires and analyzed using the Spearman Rank correlations test. The findings indicated that the most of respondents with low caffeine intake experienced mild sleep disturbances, totaling 56 respondents (80%). Meanwhile, respondents with moderate and high caffeine intake mostly experienced moderated sleep disturbances, with 13 respondents (61.9%) and 9 respondents (52.9%), respectively. The results showed a significant correlation between caffeine intake and sleep disturbances (p-value=0.000). In all categories of caffeine intake, most respondents had normal nutritional status. However, no significant relationship was found between caffeine intake and nutritional status (p-value=0.351). In conclusion, caffeine intake was associated with sleep disturbances but not with nutritional status among final-year undergraduate students.

Instagram social media addiction has become an increasingly common phenomenon among university students. Excessive use of Instagram can negatively affect mental, social, and academic well-being, and may increase the risk of social anxiety. Students who experience Instagram addiction tend to have reduced direct social interaction, and fear of negative evaluation from others, which are key factors contributing to social anxiety. This study aims to determine the relationship between Instagram social media addiction and social anxiety among students. This study used a quantitative approach with a cross-sectional design. The sample consisted of 105 respondents selected using purposive sampling. The instruments used were the Instagram Addiction Scale (TIAS) and the Social Anxiety Scale for Social Media Users (SAS-SMU). Data analysis was conducted using the Chi-Square test. The results showed that most respondents had a moderate level of Instagram addiction (56.2%) and a moderate level of social anxiety (68.6%). The Chi-Square test indicated a significant relationship between Instagram addiction and social anxiety, with a p-value < 0.001 (p < 0.05). There is a significant relationship between Instagram addiction and social anxiety among students. However, the relationship is not always linear, as higher levels of addiction do not necessarily correspond to higher levels of social anxiety.

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

This study aims to analyze strategies for increasing reading interest in developing a literate generation among elementary school students and to identify factors influencing literacy culture within school and family environments. The phenomenon of low reading interest among elementary school students has become a significant concern because the rapid development of digital technology tends to shift students’ attention from reading activities to audiovisual entertainment. This research employed a descriptive qualitative approach using a case study method at SDN 1 Notoharjo. Data were collected through semi-structured interviews, observations, and documentation studies. The participants consisted of one classroom teacher and four third-grade students of SDN 1 Notoharjo. Data analysis was conducted through data reduction, data display, and conclusion drawing, while data validity was tested using source triangulation and method triangulation. The findings revealed that literacy strengthening was implemented through morning reading activities, book discussions, the use of visual and digital media such as e-books, and the utilization of reading corners and school libraries. The study also found that students’ reading interest was influenced by the availability of reading materials, the comfort of literacy environments, family support, and the dominant use of gadgets for entertainment purposes. This study contributes scientifically by strengthening the concept of collaborative literacy involving schools, families, and digital technology in developing reading culture among elementary school students. The findings imply the need for more integrated, adaptive, and sustainable literacy programs to improve students’ reading interest in the digital era.  

The development of digital technology has brought about significant changes in various aspects of life, including early childhood faith education. Today’s children are growing up in an environment familiar with digital media, making it necessary to adopt a catechetical approach that keeps pace with the times. This article aims to examine the use of digital catechesis as a tool for early childhood faith education. This study employs a qualitative method with a literature review approach, gathering data from books, scientific journals, research articles, Church documents, and other relevant sources. The data is analyzed using descriptive-qualitative methods to understand the benefits, challenges, and role of digital catechesis in fostering children’s faith. Research findings indicate that digital catechesis can serve as an effective, engaging, and interactive medium for helping children learn about the teachings of the faith from an early age. The use of animated videos, religious songs, educational images, and learning apps can enhance children’s interest in learning, attention, and understanding of Catholic faith values. Furthermore, digital catechesis also assists the Church, families, and schools in providing faith education that is more contextual and aligned with the world of today’s children. However, the use of digital media still requires the guidance of parents, teachers, and faith mentors so that children receive proper direction and are protected from the negative impacts of technology. Thus, digital catechesis is a relevant tool in the faith education of young children when used wisely and purposefully. The presence of digital media does not replace the role of faith educators but serves as a tool that enriches the process of proclaiming the faith in the modern era.

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 era of globalization presents challenges of moral degradation among students, including intolerance, individualism, and declining nationalism. These issues make character strengthening through Civic Education (PKn) a national priority. This study aims to analyze the effectiveness of PKn in shaping students’ character, particularly the values of religiosity, nationalism, independence, mutual cooperation, and integrity. The research employed a qualitative Library research design using secondary data from 18 scientific journals and 2 books published between 2021 and 2026. Data were collected through literature review and analyzed using content and thematic analysis to identify patterns of PKn implementation and its impact. The findings indicate that PKn effectively develops Good citizenship through character education based on Pancasila. Effective strategies include teacher role modeling, Problem-Based Learning (PBL), and digital media such as infographics and gamification. These approaches were reported to improve empathy, national loyalty, and integrity among students. The Merdeka Curriculum further supports character development by emphasizing affective learning through authentic projects. Challenges arising from foreign cultural influences can be addressed through collaboration among schools, families, and communities. The study concludes that PKn plays a significant role in strengthening students’ character and supporting the realization of Golden Indonesia 2045 through sustainable character education.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.

This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

The era of globalization has brought significant changes to the world of education, particularly to the role and function of teachers in the learning process. Advances in information technology and easy access to knowledge require teachers to reorient their roles from mere transmitters of material to facilitators, motivators, curators of information, and mentors of student character. This study aims to examine the nature of the reorientation of the role and function of teachers in the era of globalization, the reasons for the need for such changes, the ideal form of teacher roles, and the challenges and strategies in their implementation. The research method used is a qualitative approach with a literature study through analysis of various books, journals, and relevant scientific sources. The results show that the reorientation of teacher roles is necessary due to changes in learning paradigms, technological developments, and the demand for 21st-century skills. However, the process still faces various challenges such as low digital literacy, conventional mindsets, limited training, and a lack of infrastructure support and parental participation. Therefore, strategies are needed such as improving teacher professional development, strengthening digital literacy, simplifying administrative burdens, and strengthening cooperation between schools, parents, and the community. With this reorientation, it is hoped that teachers will be able to play an optimal role in improving the quality of education and developing a generation that is intelligent, has character, and is ready to face global challenges.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

The high volume of fishery waste often poses an environmental burden if not managed appropriately. Conversely, the circular economy concept offers sustainable solutions aligned with Maqasid Shariah principles in environmental preservation (Hifz al-Alam). This study aims to educate and implement the processing of fish waste into high-quality animal feed that meets halal standards (halalan thayyiban). This research employs a qualitative approach using the Asset-Based Community Development (ABCD) method. The stages include socializing the concept of Sharia circular economy, technical training on waste processing, and nutritional content testing of the feed. The findings indicate an 80% increase in community understanding regarding the economic value of waste. Technically, the fish waste processing successfully produced an alternative animal feed with high protein content, free from najis (impurity) through a purification process according to Islamic jurisprudence (fiqh). This education proves that the integration of circular economy and Sharia principles not only reduces environmental impact but also creates sustainable economic added value for local communities.

The high volume of fishery waste often poses an environmental burden if not managed appropriately. Conversely, the circular economy concept offers sustainable solutions aligned with Maqasid Shariah principles in environmental preservation (Hifz al-Alam). This study aims to educate and implement the processing of fish waste into high-quality animal feed that meets halal standards (halalan thayyiban). This research employs a qualitative approach using the Asset-Based Community Development (ABCD) method. The stages include socializing the concept of Sharia circular economy, technical training on waste processing, and nutritional content testing of the feed. The findings indicate an 80% increase in community understanding regarding the economic value of waste. Technically, the fish waste processing successfully produced an alternative animal feed with high protein content, free from najis (impurity) through a purification process according to Islamic jurisprudence (fiqh). This education proves that the integration of circular economy and Sharia principles not only reduces environmental impact but also creates sustainable economic added value for local communities.

Golf participation has increasingly become a lifestyle-oriented recreational activity that combines physical exercise, social interaction, and personal identity. However, participation decisions are not only shaped by individual interest, but also by demographic readiness, psychographic orientation, digital promotional exposure, and psychological commitment to the sport. This study aims to examine the influence of demographic factors, psychographic factors, and digital promotion on golf participation decisions in Bandar Lampung, with sport commitment as a mediating variable. A quantitative survey approach was employed using purposive sampling. Data were collected from 287 golf participants through a structured questionnaire measured with a five-point Likert scale. The data were analyzed using multiple linear regression and Sobel mediation testing. The findings show that demographic factors, psychographic factors, digital promotion, and sport commitment have positive and significant effects on golf participation decisions. Sport commitment was found to be the strongest predictor and significantly mediated the relationship between demographic factors, psychographic factors, digital promotion, and golf participation decisions. These results indicate that golf participation is influenced not only by access, lifestyle, and digital promotion, but also by the level of commitment developed by participants. This study contributes to sport marketing literature by integrating individual, psychological, and digital factors into one empirical model of golf participation behavior.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

This study examines teachers’ strategies in instilling citizenship values among students to develop democratic character and social responsibility. The background of this study is rooted in the increasing need to strengthen students’ civic awareness and character in the face of rapid social and technological changes. The objective of this research is to identify and analyze effective strategies used by teachers in integrating citizenship values into the learning process. This study employs a library research method by analyzing various relevant academic sources, including journals, books, and scholarly articles related to citizenship education and character development. The findings indicate that effective strategies include student-centered learning approaches, the integration of character education into civic education, the use of inquiry-based learning methods, and the utilization of technology to enhance student engagement. Additionally, extracurricular activities and a democratic classroom environment play a significant role in reinforcing students’ understanding and application of citizenship values. These strategies contribute to the development of students’ critical thinking, participation skills, and social awareness. The implications of this study suggest that teachers need to continuously innovate and adapt their teaching strategies to meet the evolving needs of students and societal demands. Furthermore, educational institutions should provide adequate support and resources to optimize the implementation of citizenship education in fostering responsible and democratic citizens.

Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in efforts to prevent postpartum depression early. This study aims to analyze the prevention of postpartum depression in postpartum mothers through telenursing-based education and screening using the Edinburgh Postnatal Depression Scale (EPDS) in the community. A descriptive case study design was used, involving one respondent, a 25-year-old primigravida mother residing in the Bantul area. The intervention was implemented online via WhatsApp and video calls, including structured health education on postpartum psychological changes, adaptive coping strategies, and the importance of social support. The intervention also included daily remote monitoring of the respondent's condition via the WhatsApp mobile application. The EPDS was administered as a pre-test and post-test to evaluate changes in the respondent's psychological condition. The findings showed a significant decrease in the EPDS score from 16 (moderate depression) to 6 (minimal depression), indicating significant psychological improvement. These results imply that integrating EPDS screening, structured health education, and daily monitoring is an effective and accessible community-based approach to preventing postpartum depression, particularly for mothers with limited mobility and access to health services.

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.