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Limited competence among teachers in systematically managing scientific references remains one of the main challenges in producing high-quality scientific writing. This community service activity aims to enhance the competence of Biology MGMP teachers in Sidoarjo in reference management through a Smart Referencing approach using the Mendeley application as a Reference Management System. The methods employed include training sessions, hands-on practice, and mentoring in the use of Mendeley, covering installation, library management, and the automatic integration of citations and bibliographies into scientific documents. The evaluation of the activity was conducted through questionnaire distribution to measure participants’ improvement in understanding and skills. The analysis results indicate that several technical aspects, such as the use of the Mendeley plugin in Microsoft Word (score = 3.40) and the overall ease of use of the application (score = 3.00), fall into the high category on a maximum scale of 4. This suggests that although the application is perceived as useful, there is still a need for initial adaptation in its usage. Furthermore, the overall mean score of all questionnaire items is 3.74, with a satisfaction index of 93.5%, which falls into the very high category. These findings indicate that the Mendeley-based Smart Referencing training received very positive responses and was effective in improving participants’ understanding and skills in reference management for scientific writing.

This study analyzes how Abuela Alma Madrigal's behaviors toward her family in Disney's Encanto (2021) are influenced by Jungian archetypes. The psychological analysis of matriarchal characters in animated films has received little attention, despite the widespread usage of Jungian theory in film analysis. The aim of this study is to identify the Jungian archetypes that Abuela embodies and analyze how they influence her relationships with the Madrigal family. Data was gathered by repeatedly watching the movie using a qualitative, descriptive approach. Jung's archetypal theory (1959) served as the main framework for the analysis of a selection of dialogues that were transcribed and classified based on specific archetypes. The results show that Abuela's behavior is greatly influenced by five archetypes. She is motivated by the persona archetype to maintain a public persona of magical perfection, valuing each family member according to how they contribute to this image. The trauma of losing her husband Pedro is the source of the Shadow archetype, which takes the form of denial and blame projection until Mirabel confronts it. The Great Mother archetype illustrates how her parental love turned into conditional acceptance and overprotection. The Wise Old Woman archetype highlights the difference between her appearance of authority and the personal doubt she carries. Finally, the Self archetype signifies her psychological transformation as she completely accepts the value of each family member and integrates her suppressed fears, completing Jung's individuation process. These results validate that Jungian theory provides a useful framework for analyzing matriarchal characters in animated films and show how universal psychological patterns associated with trauma, authority, and family dynamics can be meaningfully reflected in modern animated films.

This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.

This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.

This literature study aims to analyze the strategies of local cosmetic brands in providing product variants for different skin types, setting affordable prices for the teenage segment, and minimizing side effect risks to increase purchase intention among beginner users. The method used is qualitative library research with a thematic synthesis approach following systematic literature review procedures. The results indicate that complete product variants enable beginner users to find products suitable for their skin conditions, reducing confusion and increasing confidence. Affordable prices are crucial for the teenage segment with limited budgets, allowing them to try products without excessive financial burden. Minimizing side effect risks through safe formulations, dermatological testing, ingredient transparency, and usage education builds a sense of security essential for beginner users. These three strategies are interconnected and collectively create a foundation of trust that drives purchase intention. Beginner users who feel their needs are understood, products are affordable, and risks are minimal will be more motivated to purchase and have the potential to become long-term loyal customers. This study contributes theoretically to enriching cosmetic marketing literature with a teenage and beginner user segmentation perspective and practically provides foundations for local brands in designing products, pricing strategies, and safety communications targeting this segment.

Online games are one of the digital entertainment activities widely favored by adolescents; however, high-intensity use can lead to psychological impacts, one of which is anxiety. Anxiety in adolescents is characterized by feelings of restlessness, irritability, difficulty concentrating, and sleep disturbances, especially when they are unable to play online games or when they experience defeat in the game. This study aimed to determine the relationship between the intensity of online game use and the level of anxiety among adolescents. This study used a quantitative design with a cross-sectional approach, involving 113 respondents selected using a cluster sampling technique. The research instruments used were the DASS questionnaire and an online game usage intensity questionnaire, and the data were analyzed using univariate and bivariate analysis. The respondents in this study were adolescents from SMAN 1 Wanadadi, most of whom were 16 years old (49.6%) and predominantly female (61.9%). The intensity of online game use was mostly in the moderate category (55.8%), while the level of anxiety was mostly in the mild category (89.0%). The results showed that most respondents had a moderate level of online game usage intensity and a mild level of anxiety. Bivariate analysis indicated that there was no significant relationship between the intensity of online game use and the level of anxiety among adolescents, with a p-value of 0.425 and a contingency coefficient value of 0.076. Therefore, it can be concluded that there is no relationship between the intensity of online game use and the level of anxiety among adolescents.

This study aims to examine the effect of the use of the Quick Response Code Indonesian Standard (QRIS) as part of digital payment instruments on the personal financial management of employees at PT. Alkana Diza Nusantara in the era of a cashless society. The rapid development of financial technology has encouraged a shift in transaction behavior from cash to cashless systems, making it important to understand its impact on individual financial management more comprehensively. This study employs a quantitative approach with a causal associative research design to analyze the relationship between variables. The population consists of 42 employees, with total sampling used as the sampling technique. Data were collected through a Likert-scale questionnaire that had been tested for validity and reliability. Data analysis techniques include classical assumption tests, simple linear regression analysis, t-test, and the coefficient of determination (R²) to measure the extent of the independent variable’s influence on the dependent variable. The results show that the use of QRIS has a positive and significant effect on personal financial management. This is evidenced by a regression coefficient of 0.923 and a significance value of 0.000 (<0.05). Furthermore, the coefficient of determination (R²) of 0.735 indicates that QRIS usage explains 73.5% of the variation in personal financial management, while the remaining 26.5% is influenced by other variables outside the scope of this study. These findings suggest that digital payment usage can enhance the effectiveness, efficiency, and discipline of individual financial management

The rapid development of information technology has transformed social media into a digital space that plays a crucial role in shaping the mindset, behavior, and lifestyle of young generations. TikTok is one of the most dominant platforms used by Generation Z, particularly students, due to its ability to present algorithm-based content that aligns with user interests. This condition has the potential to cause psychological stress in the form of Fear of Missing Out (FOMO), which reflects social anxiety due to the perception of being late in keeping up with trends, information, or experiences that hold a dominant position in the social landscape. This research initiative aims to examine the influence of TikTok usage on the lifestyle configurations of Generation Z students, with FOMO serving as a determinant that strengthens this relationship. This study is designed within the quantitative tradition with a positivist epistemological orientation. The study population includes 250 students from the Faculty of Computer Science at the National Pasim University in Bandung, with a sample size of 72 respondents derived using Slovin's formula. The analysis results indicate that TikTok usage and the level of FOMO have a positive and significant impact on changes in students' lifestyles. The regression coefficient estimates are in the positive direction, with a significance value exceeding the critical threshold of 0.05, indicating a unidirectional relationship between the variables. The model determination estimate, at around 57.5%, confirms that TikTok and FOMO are able to explain a significant portion of the variation in students' lifestyles, while the remainder is influenced by factors outside the scope of this study. This finding confirms that TikTok functions not only as a medium of entertainment but also as an agent shaping lifestyles influenced by social and psychological pressures. Therefore, strengthening digital literacy is crucial so that students can use social media more rationally and responsibly.

The rapid growth of short-video-based social media platforms, particularly TikTok, has significantly influenced students learning behavior and productivity. This study aims to analyze the relationship between TikTok usage and students learning productivity. A qualitative literature review method was employed by examining relevant national and international scholarly articles published between 2021 and 2026. The data were analyzed using thematic synthesis to identify consistent patterns and key factors shaping learning productivity in the context of TikTok usage. The findings reveal a consistent pattern indicating that TikTok usage exerts an ambivalent impact on students learning productivity. Excessive and entertainment oriented use is associated with decreased concentration, increased academic procrastination, and poor time management. In contrast, purposeful use of TikTok through educational content and microlearning formats contributes to higher learning motivation, academic engagement, and creativity. These effects are strongly influenced by usage objectives, duration of consumption, and students self regulation abilities. This study concludes that TikTok is not a single determinant of learning productivity but functions as an amplifier of students learning behaviors. The findings contribute to the literature on social media and education by providing a conceptual foundation for developing digital literacy and time management strategies in higher education.

The rapid development of artificial intelligence (AI) has brought significant changes to higher education, particularly in the way students think and learn. AI no longer functions merely as a learning support tool but also influences students’ cognitive processes, including critical thinking, problem-solving abilities, and creativity. This study aims to examine the impact of AI usage on the thinking patterns of university students. The research method employed is a literature review, analyzing various accredited national journals and relevant conference proceedings. The findings indicate that AI offers several positive impacts, such as improving learning efficiency, expanding access to information, and supporting the development of creative ideas. However, excessive reliance on AI may also lead to negative effects, including a decline in critical thinking skills and an increased tendency for students to depend on AI-generated outputs without in-depth analysis. Therefore, the role of educators is crucial in guiding students to use AI wisely and responsibly. AI should be utilized as a supportive tool in the learning process rather than a replacement for human thinking. This study is expected to contribute to the development of effective and ethical strategies for integrating AI in higher education.

The rapid development of digital technology has significantly transformed social interaction and learning processes in rural communities. Uncontrolled smartphone usage has led to low digital literacy and heightened risks of social media misuse among children and adolescents. This community service program, through the Community Service Program (KKN), aimed to improve digital literacy and establish a Learning Center (Pondok Belajar) as an educational space within the village. The methods included observation, socialization, digital literacy training, and academic mentoring for children. The results demonstrated an increase in community awareness regarding the responsible use of smartphones and enhanced learning motivation among children through the Learning Center activities. This program illustrates that the synergy between digital education and learning support can be a concrete step toward building a smart and competitive village in the digital era. The initiative highlights the importance of combining technology education with community-based programs to foster a more informed and empowered population in rural areas.

This study aims to analyze the application of good governance principles in the management of ECE grants by regional governments, focusing on aspects of transparency, accountability, public participation, and legal certainty. The study employs a qualitative approach using Qualitative Secondary Analysis (QSA), analyzing various secondary data sources such as policy documents, government reports, previous research findings, and relevant academic literature on education grant management. Data analysis was conducted systematically through data reduction, categorization, interpretation, and conclusion drawing. The results indicate that the implementation of transparency in ECE grant management is reflected in the openness of information regarding grant application procedures, recipient selection mechanisms, and fund usage reporting. Accountability is realized through administrative and financial accountability mechanisms that must be fulfilled by both regional governments and ECE institutions receiving the grants. Public participation is evident from the involvement of communities, ECE institution managers, and parents in the planning, implementation, and supervision of the grant program. Meanwhile, legal certainty in grant management is demonstrated by the existence of regulations that clearly govern grant provision mechanisms, fund disbursement procedures, and obligations for reporting and accountability in fund utilization. The study concludes that the application of good governance principles in the management of ECE grants by regional governments plays a crucial role in enhancing transparency, accountability, and effectiveness in educational fund management. Furthermore, community involvement and regulatory certainty serve as key supporting factors in achieving better governance of education grants.

Digital transformation in healthcare services is a strategic approach to improve access, efficiency, and service quality, particularly within Indonesia’s National Health Insurance (JKN) system. BPJS Kesehatan has introduced an online queue feature through the Mobile JKN application to minimize manual queuing and reduce waiting times in outpatient services. However, despite the widespread ownership of the application, its actual utilization for online queuing remains relatively low, including in a regional public hospital (RSUD) in West Bandung. This condition reflects a gap between the availability of digital health technology and patients’ actual usage behavior, highlighting the need to examine factors influencing adoption.This study aims to analyze the effects of perceived ease of use, social influence, and facilitating conditions on the actual use of the Mobile JKN online queue, with behavioral intention as an intervening variable among outpatients. A quantitative cross-sectional design was applied, involving 255 JKN outpatient participants selected through purposive sampling. Data were collected using structured questionnaires and analyzed using Structural Equation Modeling (SEM) with AMOS version 24, based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Data analysis included descriptive statistics, validity and reliability testing, normality assessment, goodness-of-fit evaluation, Three Box Method, and hypothesis testing.

Nursing documentation is an essential part of healthcare services, playing a key role in communication, care continuity, and serving as legal evidence. The introduction of the Hospital Management Information System (SIMRS) aims to improve the efficiency of documentation processes. However, high workloads in critical areas such as the Emergency Department (IGD) and Intensive Care Unit (ICU) may influence nurse compliance with documentation protocols. This study investigates the relationship between workload and nursing documentation compliance during the implementation of SIMRS at RSUD Haji Makassar's IGD and ICU. A quantitative cross-sectional design was used, with 30 nurses participating (total sampling). The workload was assessed using the NASA Task Load Index (NASA-TLX), while compliance was evaluated through a questionnaire. The data were analyzed using Chi-Square and Fisher’s Exact Test. The results showed that the majority of respondents experienced heavy workloads (83.3%), and most had compliant documentation (96.7%). However, the statistical analysis yielded a p-value of 1.000, indicating no significant relationship between workload and documentation compliance. Based on these findings, the study recommends optimizing SIMRS usage and providing ongoing training to ensure improved compliance with nursing documentation practices.

The digital era has streamlined the commercialization of musical works, yet conversely heightens the risk of copyright infringement regarding the unauthorized use of songs. This study aims to analyze the legal review of unauthorized song usage, focusing specifically on the Supreme Court Decision Number 825 K/Pdt.Sus-HKI/2025. This study employs a normative juridical research method using a case approach and a statute approach. Secondary data were gathered through a literature review of relevant regulations, specifically Law Number 28 of 2014 concerning Copyright. The results indicate that utilizing another person's song for commercial purposes without valid permission from the creator or copyright holder constitutes a clear violation of economic rights, particularly reproduction, distribution, and public performance rights. Through Supreme Court Decision No. 825 K/Pdt.Sus-HKI/2025, the Panel of Judges reaffirmed the boundaries of law enforcement and civil liability regarding material damages for infringers. The judges' legal reasoning (ratio decidendi) reinforces the position of Collective Management Organizations (CMO) in royalty collection, while providing legal certainty on the evidentiary mechanisms of exclusive rights violations in court. The practical implication of this decision emphasizes the necessity for creative industry actors to secure formal licensing to mitigate future legal disputes.

This study investigates the use of derivational morphemes in David Goggins' motivational speech, “12 Minutes to Change Your Life,” featured on Huberman's podcast. Derivational morphemes, which create new words and alter grammatical categories, are essential in understanding language development and communication. Despite extensive research on derivational morphemes in various texts, there is limited analysis of their usage in motivational speeches. This study addresses this gap by analyzing Goggins' speech, focusing on identifying and classifying derivational morphemes. Using qualitative methods, the speech was transcribed, and words containing derivational morphemes were analyzed based on the theories of Fromkin, Rodman, and Hyams (2011). The findings reveal 23 instances of derivational morphemes, divided into class-changing and class-maintaining categories. Notable transformations include adjectives to adverbs, verbs to nouns, and adjectives to nouns, with the most frequent being adjectives to adverbs. The study provides insights into the function and impact of derivational morphemes in spoken motivational content, contributing to the broader understanding of morphology in language use.

Social media has brought significant changes in the way humans interact, construct meaning, and shape social identities. In Indonesia, TikTok is the most widely accessed social media platform, reaching 32% of users. TikTok is not only a medium of entertainment but also a space for the production and reproduction of values, tastes, and social standards. The TikTok algorithm presents personalized content according to user preferences, creating a continuous flow of information that is visually and repetitively consumed. From an anthropological perspective, this article aims to analyze how algorithms influence the formation of digital identity and generate new status symbols in virtual spaces. This research uses a qualitative approach with ethnographic methods and literature studies on TikTok usage practices. The results of the study show that indicators of popularity such as the number of views, followers, likes, and interaction rates become new forms of status symbols that represent users’ social influence in the digital world. From an anthropological perspective, TikTok can be understood as a new cultural space where algorithms act as structural agents that influence social practices, identity production, and symbolic hierarchies within digital society. This study emphasizes that algorithms function not only as technical technologies but also as cultural forces that shape how individuals understand themselves and their social positions within the social media ecosystem.

Digital transformation in the public sector has significantly driven service innovations, particularly in pension administration for Civil Servants (ASN). This study aims to analyze the development of digital-based public service innovations in pension administration while identifying the benefits and challenges associated with their implementation. The research employs a Systematic Literature Review (SLR) method by examining relevant scholarly articles from national journals focusing on the digitalization of public services and pension systems. The literature selection process was conducted systematically to identify, evaluate, and synthesize key findings related to digital pension service innovations. The results indicate that digitalization through applications and electronic platforms enhances administrative efficiency, accelerates data verification, and improves the speed of pension fund disbursement. It also strengthens transparency and accountability while simplifying bureaucratic procedures and expanding service accessibility for retirees. However, several challenges remain, including low digital literacy among retirees, limited access to technological devices, and insufficient public awareness regarding digital service usage. The findings suggest that the success of digital-based public service innovations depends not only on technological availability but also on human resource readiness, institutional capacity, and the level of public acceptance. Therefore, a comprehensive strategy is required, including improving digital literacy, strengthening information technology infrastructure, and optimizing communication efforts to ensure effective adoption.

Purpose: This study examines the effect of service communication on usage intention of Holistic Homecare for Elderly services, with customer trust serving as a mediating variable. Design/Methodology/Approach: Employing a quantitative explanatory approach with cross-sectional survey design, this research involved 120 family respondents with elderly members (≥60 years) in urban areas of Jakarta and Bandung, selected through stratified purposive sampling. Data were collected using structured questionnaires with 5-point Likert scales that had been tested for validity (Pearson correlation > 0.30) and reliability (Cronbach's Alpha > 0.70). Data analysis utilized Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 to examine measurement and structural models, along with bootstrapping mediation tests. Findings: Service communication demonstrated significant positive effects on customer trust (β = 0.712; t = 12.456; p < 0.001) and usage intention (β = 0.324; t = 4.213; p < 0.001). Customer trust significantly influenced usage intention (β = 0.498; t = 6.847; p < 0.001) and functioned as a partial mediator (indirect effect = 0.354; BootCI [0.248; 0.471]). Originality/Value: This research integrates Commitment-Trust Theory and Social Support Theory within the context of home-based elderly care services in a developing country, revealing the critical role of empathetic, responsive, and transparent communication as the foundation for trust-building that subsequently drives service adoption. Practical Implications: The findings emphasize the necessity of therapeutic communication training for caregivers and information transparency to establish a trustworthy homecare service ecosystem in Indonesia.

The digital era, with 78% internet penetration in Indonesia (2025), brings information advancement but also threats like cyberbullying, hoaxes, and SARA polarization through social media. This study aims to analyze the relevance of Pancasila values as an ethical filter in mitigating these negative digital impacts through social media usage case studies. Employing a qualitative approach based on library research, data was gathered from 18 Sinta-accredited journals (2021-2026), 2 Pancasila digital theory books, UU ITE regulations, and APJII reports. Content analysis with Miles & Huberman (2024) data reduction was applied to code the implementation of each Pancasila principle. Results show that the first principle combats religious intolerance, the second suppresses cyberbullying (25% reduction), the third reduces 2024 election polarization (40%), the fourth promotes digital deliberation, and the fifth closes rural literacy gaps through gotong royong crowdfunding (Rp1T collected). Viral disinformation and Lombok 2025 disaster cases prove Pancasila's effectiveness beyond formal regulations. It is concluded that Pancasila is adaptive as a moral algorithm in the digital era, transforming social media from conflict breeding grounds into national integration spaces. Recommendations include strengthening the "Pancasila Digital Ethics" curriculum for Gen Z/Alpha, national AI literacy applications, and platform collaboration with BPIP-Kominfo.