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Regarding the Utilization of Non-Fat Tempeh Powder as a Functional Food Based on Local Potential. The activity was conducted in Baturan Village, Colomadu District, Karanganyar Regency, involving 55 members of the PKK (Family Welfare Empowerment) cadre. The community service method employed a Community-Based Research (CBR) approach combined with Asset-Based Community Development (ABCD). The activities included participatory counseling, group discussions, and evaluation through pre-tests and post-tests. The results demonstrated an increase in knowledge, a shift in attitudes, and a growing awareness among the PKK cadre regarding the importance of functional food based on non-fat tempeh. Furthermore, the cadre emerged as peer educators with the potential to drive program sustainability at the community level. This community service proves that community-based counseling is effective in fostering initial social transformation towards healthier and more self-reliant food consumption patterns.

Emotion is a natural aspect of human life, including that of individuals with Cerebral Palsy or CP. Generally, emotion can be triggered by situational factors and expressed through language, particularly through prosody. However, studies that explicitly link emotion, CP, and prosody remain limited. Therefore, this research aimed to identify the types of emotions experienced by Mike, a character with CP in theTriumph movie, as well as their prosodic performances. The research data consisted of Mike’s utterances and facial expressions, which were analyzed qualitatively using observation and documentation methods, along with note-taking and triangulation technique. The theories used were psycholinguistic, affective priming, and prosodic, that was also supported by Praat software. The findings showed that the emotions expressed by Mike included happiness (the most dominant), sadness, anger, surprise (the least frequent), and fear, which were triggered by social support or rejection from people around him. From a prosodic perspective, intonation and loudness exhibited contrasting patterns, resulting in varying degrees of word stress. Happiness was characterized by a pitch of 155.31 Hz and an intensity of 58.78 dB, sadness by a lower pitch of 148.54 Hz and the lowest intensity at 53.89 dB, anger by the highest pitch at 280.7 Hz and the strongest intensity at 62.47 dB, surprise by a pitch of 196.3 Hz and an intensity of 56.38 dB, and fear by a pitch of 161.03 Hz with an intensity of 57.97 dB.In sum, the results indicated a strong interrelationship between emotion and prosody in Mike’s speech.

Urinary tract infection (UTI) is a common bacterial infection that requires appropriate antibiotic management to prevent complications and antimicrobial resistance. Ceftriaxone and ciprofloxacin are commonly used antibiotics with different clinical indications in UTI treatment. This literature review aims to compare the role of ceftriaxone and ciprofloxacin in the management of urinary tract infections. A narrative literature review was conducted using articles published within the last ten years from PubMed, ScienceDirect, and Google Scholar databases. The review focuses on clinical effectiveness, resistance patterns, and therapeutic considerations. The findings indicate that ceftriaxone is primarily used in moderate to severe or complicated UTIs, particularly in hospitalized patients, whereas ciprofloxacin is more frequently used in uncomplicated UTIs in outpatient settings. However, increasing bacterial resistance and safety concerns limit the empirical use of ciprofloxacin. These findings emphasize the importance of rational antibiotic selection based on clinical conditions and local resistance patterns.  

Mining companies are increasingly required to demonstrate environmental, social, and governance (ESG) accountability through sustainability reporting (SR). However, empirical evidence regarding the impact of SR on firm value in Indonesia’s mining sector remains inconsistent. This study aims to systematically examine the relationship between sustainability reporting and firm value using legitimacy theory as the conceptual framework. A Systematic Literature Review was conducted following the PRISMA 2020 protocol, employing narrative and thematic synthesis. Peer-reviewed articles published between 2018 and 2025 were retrieved from Google Scholar, Garuda Portal, and SINTA databases using relevant keywords. From 4,260 initial records, 11 studies met the inclusion criteria after screening, deduplication, and quality appraisal using an adapted CASP checklist. The findings reveal three dominant patterns: most studies report a positive effect of SR on firm value through improved transparency, corporate reputation, and investor confidence; several studies find no significant relationship due to short-term investor orientation; while a minority report negative effects associated with low disclosure quality and greenwashing concerns. Furthermore, the effectiveness of SR is influenced by disclosure quality, corporate governance, profitability, and leverage. This study implies that sustainability reporting can enhance firm value when disclosures are credible, consistent, and material, supporting legitimacy theory and encouraging alignment with the GRI 14: Mining Sector 2024 standard.

Tax compliance is a crucial element in supporting state revenue and reflects the integrity of the public bureaucracy. However, the level of tax compliance among State Civil Apparatus (ASN) in Indonesia still faces various challenges. To date, the literature on ASN tax compliance tends to be partial and does not provide a comprehensive overview of the evolution of theories and emerging methodological trends. This study aims to map the development of research related to ASN tax compliance in Indonesia during the 2020–2024 period through a Systematic Literature Review (SLR) approach. This study analyzed ten scientific articles obtained from national academic databases, focusing on the variables, theories, and methods used in previous research. The analysis was conducted qualitatively and descriptively to identify patterns of findings and research gaps. The study results indicate that ASN tax compliance is influenced by factors such as tax knowledge, sanctions, awareness, trust, institutional factors, and digital technology. This study contributes by developing a research map that integrates the Theory of Planned Behavior and Institutional Trust Theory as a basis for fiscal policy for ASN. These results provide a basis for the government to design more effective tax policies and training.

Developments in information technology have had a significant impact on business communication and negotiation processes in various industrial sectors. Technological advances such as email, video conferencing, instant messaging applications, cloud-based information systems, and other digital media have created new, faster, more efficient, and more documented communication models. This study uses a descriptive approach based on a literature review to analyze how information technology is transforming interaction patterns, strategies, and negotiation processes in the modern business environment. The results indicate that information technology plays a strategic role in increasing the effectiveness of business communication and accelerating the negotiation process. Advantages such as cost savings, time flexibility, global access, and automated documentation are the main reasons for the increasing use of digital media in the business world. However, digital negotiation also presents challenges such as the loss of non-verbal context, the risk of miscommunication, data security issues, and limitations in interpersonal relationships. The conclusion of this study confirms that successful negotiations in the digital era are greatly influenced by interpersonal communication skills, digital literacy, appropriate media selection, and the implementation of negotiation strategies that adapt to technological changes.

This study examines curriculum strategies implemented in five countries Singapore, Finland, Japan, Indonesia, and the United States using a library research approach. The main objective of this research is to analyze similarities, differences, challenges, and strategic orientations in curriculum development across diverse national education systems. Data were collected from scholarly journal articles, government policy documents, and international education reports published by reputable institutions. The analysis indicates that each country adopts distinct curriculum strategies influenced by its socio-cultural context, governance structure, policy priorities, and long-term educational goals. Singapore emphasizes competency-based learning aligned with economic needs, Finland prioritizes flexibility and teacher autonomy, Japan focuses on character education and cultural values, Indonesia continues to adapt its curriculum to improve relevance and equity, while the United States highlights standards-based accountability and innovation. Despite these differences, common patterns emerge, particularly in the emphasis on competency development, integration of 21st-century skills, teacher quality improvement, and curriculum adaptability to global challenges such as digitalization and workforce transformation. The findings suggest that effective curriculum development requires a balance between global educational trends and local contextual needs. This study contributes to comparative education discourse by providing insights that may inform policymakers and educators in designing responsive and sustainable curriculum strategies.

Abstract. The rapid growth of social media has significantly changed communication patterns, self-expression, and employment opportunities, especially among younger generations. However, among vocational high school students, social media use is still largely focused on entertainment and has not been optimally utilized for skill development, personal branding, or economically productive activities. Addressing this issue, a community service program was conducted to enhance the knowledge, understanding, and practical skills of students at SMK YBPK Pare in creating creative, structured, and relevant social media content in line with the demands of the digital era in 2024. The program was implemented through the delivery of conceptual materials on social media fundamentals, content planning strategies, and effective content creation techniques. These materials were strengthened through interactive discussions and hands-on practice using smartphones and accessible editing applications. The participants included 40 students from grades X, XI, and XII, representing Generation Z with high social media usage intensity. The results showed improved student understanding of the purpose of social media, basic digital content concepts, and communicative content creation techniques. Students were able to produce simple promotional content to support school branding. In addition to technical skills, the program increased awareness of social media as a tool for self-development, digital literacy, and future employment or entrepreneurial opportunities, thereby contributing positively to students’ digital competencies and work readiness.

Infant massage is an early stimulation method that plays a role in increasing infant weight gain, sleep quality, and comfort. However, limited parental resources and access to healthcare facilities prevent massage services from being optimally implemented. This community service activity aims to improve infant health through homecare-based infant massage services that are easily accessible to families. The activity was conducted on June 22, 2025, in Bulukumba Regency, targeting five infants aged 2–5 months. The activity methods included: (1) initial weight measurement, (2) education on correct massage techniques, (3) massage using olive oil for 15–20 minutes, and (4) monitoring infant sleep patterns and comfort. Repeat measurements were conducted after the intervention. Results showed post-intervention weight gain in all infants, improved sleep patterns (infants fell asleep more easily and slept longer), and increased appetite. Mothers also demonstrated improved self-massage skills. In conclusion, homecare-based infant massage has been proven effective in improving infant comfort, sleep patterns, and weight gain. This program is worthy of continuation and expansion to support community midwifery services

Graph theory as a branch of discrete mathematics has experienced significant development in its application to modern complex network systems, particularly in digital social networks and transportation systems. This research aims to analyze fundamental concepts of graph theory, examine characteristics of cycle detection algorithms along with their computational complexity, investigate their application in digital social network analysis, and explore their implementation in digital transportation system optimization. The research method employs a qualitative approach with library research focusing on scientific literature from 2020-2025 period from accredited academic databases such as Scopus, Web of Science, and IEEE Xplore, utilizing thematic analysis techniques to identify meaningful patterns from the examined literature. Research findings indicate that fundamental graph theory concepts including vertices, edges, and graph classifications form the foundation for relational structure modeling. Cycle detection algorithms such as Depth-First Search, Union-Find, and Tarjan demonstrate effectiveness with O(V+E) complexity for large-scale graphs. Applications in digital social networks facilitate community identification through Multi-View Clustering, centrality analysis for influencer detection, and understanding viral information dissemination patterns. Implementation in digital transportation systems demonstrates route planning optimization using Dijkstra and Bellman-Ford algorithms, vulnerability analysis through articulation point and bridge identification, and bottleneck detection with betweenness centrality. The research concludes that integration of graph theory in discrete mathematics education enhances critical thinking skills and real-world application understanding, with recommendations for algorithm development for massive dynamic graphs and machine learning integration in graph algorithm optimization.

This study examines Terra Drone Indonesia's implementation of management dialogue in addressing crisis communication following a fire at the company's office building. The incident sparked a wave of negative sentiment on Instagram, marked by increased public comments assessing occupational safety, data security, and the company's transparency in conveying information related to the legal process. The study used a qualitative approach with a case study method to understand how the company developed a crisis communication strategy through official statements published on social media. Data were analyzed based on dialogic elements of communication, particularly empathy for victims, humanitarian commitment, and the company's position and normative and defensive stance in affirming legal handling and compliance measures. The results show that the company attempted to balance an empathetic narrative to mitigate public pressure with a defensive strategy to maintain institutional legitimacy. However, the dynamics of public opinion on Instagram indicate that the company's response has not fully met the expectations of two-way communication. This is evident in the dominance of one-way communication patterns and the lack of technical clarifications needed by the public, thus creating a productive economic outlook. Overall, dialogic management has been implemented responsively, but has not been optimal in building a space for dialogue and public trust as a whole.

The 21st century is marked by a profound transformation in digital communication. Social media has become a new public space, enabling people to interact, disseminate information, and shape public opinion rapidly and massively. This article analyzes the role of social media in shaping public opinion and its influence on the dynamics of government policy in Indonesia. Through a literature review and case analysis of policies influenced by viral issues on social media, this study finds that social media increases citizen participation and accelerates government responses to public issues. However, the pattern of 'viral-based policy' also carries risks, such as reactive policies, a lack of evidence-based policies, and inequality in representation. To manage this phenomenon, the government needs to develop an inclusive digital communication strategy, establish an early detection system for public sentiment, and uphold the principles of good governance and evidence-based policy. These findings are relevant for academics and policymakers seeking to understand the interaction between social media, public opinion, and government policy in the digital era.

This qualitative research, employing a literature review method, aims to dissect the massive influence of digital media on the shifting social structures of Generation Z. The findings indicate that technology has transformed interaction patterns from physical encounters to continuous digital communication, creating new forms of sociability that are expansive yet often superficial. The process of identity formation now relies heavily on self-curation in cyberspace, where digital metrics serve as benchmarks for validation, frequently triggering psychological pressure. This phenomenon also impacts the weakening of traditional parental authority due to the intergenerational digital divide. Although Gen Z is adept at building social capital through interest-based virtual communities, the risk of polarization remains a concern. Regarding value orientation, there is a shift toward authenticity and work flexibility that prioritizes personal meaning. Given its ambivalent impact on mental health, the study concludes that a synergy of robust digital literacy, strengthened family roles, and platform policies prioritizing user well-being is essential to navigate this social transformation.

The creative economy industry serves as a strategic pillar of the national economy, experiencing significant transformation in the digital era. This study aims to comprehensively analyze the pattern of human resource (HR) competency gaps within priority subsectors of Indonesia's creative economy and formulate effective, multi-stakeholder development strategies. Employing a Systematic Literature Review (SLR) methodology, this research rigorously analyzes 30 scientific journal articles, government reports, and publications from global institutions published between 2014 and 2024. The findings delineate three primary clusters of competency gaps: (1) The Digital-Technical Competency Gap, encompassing deficiencies in data analytics, specialized software mastery, and digital content creation tools; (2) The Digital-Business Competency Gap, which includes shortcomings in digital financial literacy, online business model development, and management of digital intellectual property rights; and (3) The Social-Cognitive Competency Gap, highlighting needs in adaptability, complex problem-solving, and effective virtual collaboration. In response, this paper proposes an integrative strategic framework grounded in a collaborative multi-stakeholder approach. Key recommendations include revitalizing educational curricula through industry-embedded learning and micro-credential integration, developing agile and accessible training ecosystems featuring bootcamps and digital platforms, and fostering supportive policies through fiscal incentives and the alignment of national qualification frameworks with digital skill standards. The successful implementation of this synergistic strategy is expected to significantly enhance the adaptability, innovation capacity, and global competitiveness of Indonesia's creative workforce, thereby ensuring the sustainable growth of the creative economy sector in the face of rapid digital disruption.

The increasing consumption of packaged food products in Indonesia reflects modern lifestyle changes but simultaneously raises public health concerns related to high calorie, sugar, and fat intake. Nutritional information presented on food labels consists of multiple interrelated variables, making it difficult to identify dominant nutritional factors that characterize packaged food products. This study aims to apply Principal Component Analysis (PCA) to reduce the dimensionality of nutritional data and to map the nutritional characteristics of packaged food products in Indonesia. The research employs a quantitative exploratory approach using secondary data obtained from nutrition facts labels of 1,651 packaged food products. Seven nutritional variables were initially analyzed, namely total energy, protein, total fat, total carbohydrates, sugar, sodium, and dietary fiber. Data preprocessing included data cleaning, Z-score standardization, and iterative variable selection based on the Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s Test of Sphericity to ensure sampling adequacy and sufficient correlation among variables. Variables with low sampling adequacy and perfect multicollinearity were eliminated, resulting in five variables retained for the final PCA model. Principal components were extracted using the eigenvalue greater than one criterion and confirmed through a scree plot, followed by Varimax rotation to enhance interpretability. The results indicate the formation of two principal components explaining approximately 69.7% of the total variance. The first component represents energy density and macronutrient richness, while the second component reflects carbohydrate-related characteristics, particularly the contrasting pattern between sugar and dietary fiber. Biplot visualization further illustrates product distribution based on these components. The findings demonstrate that PCA effectively simplifies complex nutritional information and provides a clear nutritional mapping of packaged food products, offering practical insights for consumers, producers, and policymakers in supporting healthier food choices in Indonesia.

This study investigates the relationship between design patterns, modular architecture, and the maintainability of distributed real time systems developed using agile practices. Distributed real time systems are critical in various sectors, including telecommunications, healthcare, and automotive, where strict timing constraints and reliability are essential. Agile methodologies, known for their flexibility and iterative development, have been widely applied to software engineering, but their impact on long-term system maintainability, especially in complex real time environments, has been insufficiently explored. This research employs an empirical analysis, combining both quantitative and qualitative data from multiple real time system projects using agile methods. The analysis focuses on the application of design patterns, such as Singleton, Observer, and Factory, and evaluates the effectiveness of modular architectures in enhancing system scalability, flexibility, and long-term sustainability. The study also explores how agile practices contribute to system performance and maintainability, despite challenges related to frequent updates and coordination among distributed teams. Key findings show a positive correlation between the consistent use of design patterns and modularity, which significantly improves the maintainability and adaptability of distributed real time systems. This research also highlights the challenges faced by agile methods in maintaining architectural consistency and managing non-functional requirements, particularly in distributed environments. The results contribute valuable insights into adapting agile practices to meet the specific demands of distributed real time systems, offering recommendations for developers and project managers to incorporate modular architecture and design patterns to enhance long-term system sustainability. Further research is suggested to explore new design patterns and investigate the broader impact of agile methodologies on system quality beyond maintainability.

This study aims to examine in depth the organizational structure and communication patterns implemented by Karang Taruna Sendang in Karanglor Village, Manyaran District, over a three-month research period. Using a qualitative descriptive approach, data were gathered from primary sources through direct interviews and observations, as well as secondary sources including organizational documents involving fifteen informants consisting of the chairperson, administrators, and active members. The research subjects were determined using a purposive sampling technique, and data analysis was conducted through an interactive model, while data validity was ensured through triangulation of sources, methods, and time. The findings indicate that Karang Taruna Sendang implements an all-channel (star) communication pattern characterized by open deliberation mechanisms prior to the execution of every activity agenda. This effective communication pattern and smooth information flow have proven capable of minimizing organizational barriers and generating various tangible work programs that provide positive contributions to youth development and the welfare of the community in Karanglor Village.

This community service activity aims to socialize the development of Human Resource (HR) competencies in the Fashion Design Department at SMK Al Ihsan to face the transformation of the fashion industry based on digital technology. The main challenge faced is the gap (mismatch) between the school curriculum, which still focuses on conventional production techniques, and the needs of an industry that is now digital and automated. The method used in this activity is a participatory and educational approach that includes four stages: needs observation, delivery of theoretical material (lecturing), focused group discussions (FGD) accompanied by application demonstrations, and evaluation. The results of the activity show an increase in participants' understanding of concepts such as eco-fashion, the creative economy, as well as the introduction of digital technologies like 3D design applications (CLO3D) and digital pattern making. Through the integration of four competency pillars hard skills, soft skills, digital skills, and entrepreneurial skills it is expected that graduate profiles can transform from operational seamstresses into competitive fashionpreneurs in the global market. The conclusion of this activity emphasizes that the Link and Match strategy and mastery of technological literacy are key to effectively reducing the skills gap of students in the Industry 4.0 era.

This study aims to design, implement, and compare the performance of the Backpropagation algorithm from Artificial Neural Networks and the Seasonal Autoregressive Integrated Moving Average (SARIMA) model in predicting the optimal daily rice requirement at Grillme Restaurant in Pontianak. The main problem faced by the restaurant is the uncertainty in determining the required daily rice stock, which periodically results in either understocking (shortage) or overstocking (wastage), leading to operational losses. To address this, the study utilizes historical daily rice sales data from January 2023 to April 2025 as the database for training and testing both predictive models. The SARIMA approach is employed to capture time series components (trend and seasonality), while Backpropagation is utilized to model non-linear patterns. Comparative test results indicate that the SARIMA model achieved superior accuracy compared to the Backpropagation model. This is confirmed by the Mean Absolute Percentage Error (MAPE) value of the SARIMA algorithm being 17.35%, which is lower than the MAPE value of Backpropagation at 19.62%. The MAPE values obtained by both models demonstrate good predictive capability, but it is concluded that SARIMA is more recommended for a more efficient and planned management of rice stock at Grillme Restaurant in Pontianak.

Islamic character education has become a central focus of madrasah education; however, its planning is often implemented normatively without adequate managerial and evaluative mechanisms. This study aims to analyz ethe planning of Islamic character educationatMTs Persis 23 by examining the alignment betweent he madrasah’s strategic direction, curriculum, instructional practices, habituation programs, and character evaluation. Using a qualitative case study approach, data were collected through document analysis, classroom and school observations, and in-depth interviews with the head of the madrasah, the vice principal for curriculum, and home room teachers. Data were analyzed thematically to identify patterns of planning, implementation, and evaluation. The findings reveal that the madrasah has established a strong strategic foundation for character education through its vision, mission, and religious school culture, positioning character development as a core educational objective. Character values are integrated in to the Madrasah Operational Curriculum, lessonplans, and daily habituation activities functioning as a hidden curriculum. Nevertheless, the planning of character education remains weak at the operational level, particularly due to the absence of m easurable behavioral indicators, standar dizede valuation instruments, and systematic documentation of students’ character development. This study highlightsthe gap between normativ estrategic intentions and managerial implementation. It recommends the development of simple behavioral indicators, baselineand longitudinal character assessments, ands trengthenedpe dagogical supervision to ensure that character education planning is implemented systematically and sustainably.