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Abbreviation is a common linguistic strategy used to achieve efficiency and clarity in modern communication. This study examines the abbreviation systems of English and Indonesian through a contrastive linguistic approach, focusing on morphological patterns, phonological constraints, and usage conventions. Employing a qualitative descriptive design, the data were collected from established linguistic references and analyzed using classical contrastive analysis principles. The findings reveal that English abbreviation formation is structurally flexible, allowing both pronounceable acronyms and non-pronounceable initialisms, often maintaining complex consonant clusters and orthographic capitalization. In contrast, Indonesian abbreviation formation is strongly influenced by phonological preferences, particularly ease of pronunciation and conformity to open syllable structures, resulting in forms that closely resemble ordinary lexical items. These structural differences suggest potential sources of negative transfer for language learners and challenges in translation practices. The study concludes that abbreviation systems are shaped not only by linguistic rules but also by sociocultural and communicative needs. Understanding these contrasts is essential for language teaching, translation, and further comparative linguistic research.

The information technology revolution has brought significant changes to almost all aspects of people's lives, from communication patterns and ways of obtaining information to production and trade systems across various sectors. The development of digital technology has also driven cultural, social, and economic changes that require society to continuously adapt. This article aims to examine how society adapts to these changes through a literature review approach, examining various relevant scientific sources. The discussion focuses on digital literacy, human resource (HR) transformation, the concept of Society 5.0, the psychological impact of digital technology use, the role of public policy, and the use of technology in the economic sector. The study results indicate that the success of societal adaptation is greatly influenced by the level of digital literacy and the readiness of human resources to face increasingly rapid technological developments. Furthermore, public policies that support equal access to technology and digital education are crucial factors in this adaptation process. Equitable digital literacy and the development of adaptive and flexible human resources are key strategies for maximizing digital economic opportunities while addressing various social challenges in the era of information technology transformation.

The increasing trend of secondhand clothing consumption, commonly known as thrift shopping, reflects a major shift in consumer behavior. This study aims to analyze the influence of product quality, price, and lifestyle on consumers’ purchase decisions for secondhand clothing at the Tugu Pahlawan Sunday Morning Market in Surabaya. This research employed a quantitative approach using a non-probability sampling design. Primary data were obtained from 167 respondents through structured questionnaires utilizing a five-point Likert scale. Data analysis was conducted using multiple linear regression with the support of SPSS software, preceded by validity, reliability, and classical assumption tests. The results show that product quality, price, and lifestyle simultaneously have a significant influence on purchase decisions. Partially, product quality and lifestyle have a positive and significant effect, while price shows a weaker but still significant influence. These findings indicate that consumers’ decisions to purchase secondhand clothing are not solely driven by low prices but also influenced by perceived product quality and lifestyle preferences. This study contributes to the understanding of consumer behavior in informal markets and provides practical implications for business practitioners and policymakers to enhance sustainable consumption patterns.

The rapid growth of digital transactions through marketplace platforms has driven significant changes in the consumption patterns of Indonesian society. Behind the convenience and efficiency offered, online transactions also pose various legal risks for consumers, including product mismatches, fraudulent practices, and weak personal data protection. This situation creates an urgency to assess the effectiveness of the implementation of consumer legal protection in digital transactions. This study aims to analyze the level of effectiveness of consumer legal protection in digital transactions in Indonesian marketplaces and to identify obstacles in its implementation. The method used is normative legal research with an approach based on legislation and literature studies, particularly on the Consumer Protection Law, the Electronic Information and Transactions Law, and Government Regulation Number 80 of 2019. The research results indicate that although a legal framework for consumer protection is normatively available, its implementation has not been optimal. This is influenced by low consumer legal literacy, weak supervision and law enforcement, unclear responsibilities between business actors and marketplace platforms, and the suboptimal personal data protection system. Therefore, there is a need to strengthen regulations that are adaptive to digital transactions, enhance the role of marketplace platforms, and develop effective online dispute resolution mechanisms to ensure protection and legal certainty for consumers.

The dynamic fluctuations in stock prices present a major challenge for investors in making informed decisions. To anticipate such uncertainties, forecasting methods that can provide accurate predictions are required. This study compares two time series forecasting methods Autoregressive Integrated Moving Average (ARIMA) and Double Exponential Smoothing (Holt) in predicting the stock prices of PT Telkom Indonesia (TLKM). The dataset consists of monthly closing prices from January 2018 to December 2023. The performance of each model is evaluated using three error metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The results show that the ARIMA(1,1,1) model yields higher predictive accuracy than the Holt method, with MAE of 787.71, MSE of 771,844.2, and RMSE of 878.55. In contrast, the Holt method records a MAE of 837.19, MSE of 878,393.4, and RMSE of 937.23. These findings confirm that ARIMA is superior in capturing the complex patterns of stock price movements and is more effective in volatile market conditions such as the stock exchange.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.