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This research examines the range of phrase types appearing in Kompas.com news articles published in the “Jagat Literasi” section during the August–September 2025 period. It seeks to identify and categorize various phrase structures, such as nominal, verbal, adjectival, prepositional, pronominal, numeral, and adverbial phrases, found within the selected articles. In addition to classification, the study provides a qualitative explanation of the structural characteristics, functions, and usage tendencies of the most frequently occurring phrase types in the corpus. Employing a qualitative research design, this study relies on textual data as its primary source, generating descriptive findings derived from careful observation and analysis of written materials. All identified phrases are interpreted and systematically described to offer a comprehensive understanding of how they function in digital news discourse. The findings highlight the dominance and distribution of several phrase categories and reveal patterns that characterize language use in literacy-themed journalism. Academically, this study contributes to syntactic research by offering a reference for further investigations on phrase usage in online media and by enabling comparative analysis across different platforms or sections. Practically, it enhances readers’ and students’ awareness of effective, precise, and stylistically appropriate language use, supporting improved writing practices aligned with established linguistic conventions.

Public service plays a fundamental role in fulfilling citizens’ rights and needs within modern governance systems. The increasing complexity of social, economic, and technological changes has encouraged the transformation of public administration paradigms. This study aims to analyze the evolution of public service paradigms from Old Public Administration to Network Governance, identify the key characteristics of each paradigm, and explain the shift in values and the role of the state in public service delivery. This research employs a qualitative approach using a literature review method by examining various academic sources related to public administration theories and public service governance. The analysis was conducted through content analysis and comparative analysis to identify conceptual developments and paradigm differences in public administration. The results indicate that public service paradigms have evolved from hierarchical and rule-based governance toward more collaborative and participatory governance models. Old Public Administration emphasizes bureaucratic hierarchy and administrative control, New Public Management focuses on efficiency and performance-based management, while New Public Service highlights citizen participation and democratic values. The most recent paradigm, Network Governance, promotes collaboration among government, private sector, and civil society in addressing complex public issues. These findings suggest that contemporary public administration increasingly adopts a hybrid governance approach that integrates elements of various paradigms to enhance the effectiveness and responsiveness of public service delivery.

Terrorism is a serious threat to the security and unity of the Indonesian nation. Events such as the suicide bombing at the Medan Police Headquarters in 2019 show that acts of terror are increasingly complex and require swift and appropriate handling. For this reason, the government passed Law Number 5 of 2018 concerning the Eradication of Criminal Acts of Terrorism as a legal basis that strengthens the authority of the apparatus, including the Gegana Detachment of the Indonesian National Police Mobile Brigade Corps (Brimob), in carrying out counter-terrorism operations. This study aims to determine and analyze how the implementation of Law No. 5 of 2018 is carried out by the Gegana Detachment in the North Sumatra Regional Police area, identify obstacles faced in operations, and formulate strategies to increase the effectiveness of the implementation of the law. The results of the study show that the implementation of this law has been implemented through preventive, preemptive, and repressive approaches, such as sterilization of places of worship, social activities "Love Sunday", security patrols, and anti-terror training simulations. However, implementation in the field still faces various obstacles, including limited modern equipment, lack of cross-agency coordination, and low public participation. Therefore, personnel capacity building, infrastructure modernization, and strengthening inter-agency synergy are needed to achieve more effective counterterrorism efforts in North Sumatra.

Terrorism is a serious threat to the security and unity of the Indonesian nation. Events such as the suicide bombing at the Medan Police Headquarters in 2019 show that acts of terror are increasingly complex and require swift and appropriate handling. For this reason, the government passed Law Number 5 of 2018 concerning the Eradication of Criminal Acts of Terrorism as a legal basis that strengthens the authority of the apparatus, including the Gegana Detachment of the Indonesian National Police Mobile Brigade Corps (Brimob), in carrying out counter-terrorism operations. This study aims to determine and analyze how the implementation of Law No. 5 of 2018 is carried out by the Gegana Detachment in the North Sumatra Regional Police area, identify obstacles faced in operations, and formulate strategies to increase the effectiveness of the implementation of the law. The results of the study show that the implementation of this law has been implemented through preventive, preemptive, and repressive approaches, such as sterilization of places of worship, social activities "Love Sunday", security patrols, and anti-terror training simulations. However, implementation in the field still faces various obstacles, including limited modern equipment, lack of cross-agency coordination, and low public participation. Therefore, personnel capacity building, infrastructure modernization, and strengthening inter-agency synergy are needed to achieve more effective counterterrorism efforts in North Sumatra.

Chronic Energy Deficiency (CED) in pregnant women remains a health problem in Indonesia, including in Sleman District. CED can be overcome through the provision of supplementary foods (PMT) based on local foods that are high in energy and protein. This study aims to determine the effectiveness of local PMT on upper arm circumference (UAC) in pregnant women with CED. The study design used an analytical observational approach with a cross-sectional approach. The sampling technique used in this study was total sampling, involving 47 pregnant women with CEM who received local PMT for at least 90 days in 2024 at the Cangkringan and Sleman Community Health Centers. The secondary data in this study were the results of LILA measurements before and after the provision of local PMT. The Wilcoxon Signed Test was used to analyze the difference in LILA. The results showed that the median LILA before PMT administration was 22 cm and after PMT administration was 23.6 cm, with an increase of 1.6 cm. There was a significant difference between LILA before and after local PMT administration (p = 0.000). After local PMT administration, 51.06% of pregnant women had LILA > 23.5 cm. It is hoped that further research can explore the intake of pregnant women with KEK during local PMT administration as additional data to examine the effectiveness of local PMT on LILA in pregnant women with KEK.

This study aimed to investigate the influence of content exposure and celebrity endorsement on the consumptive behavior of Muslim adolescents among students at MAN 1 Bone. The population for this research was students of MAN 1 Bone for the 2023/2024 academic year. The sampling technique employed was simple random sampling with a total of 100 respondents. Data was collected through the distribution of questionnaires and documentation. This research utilized an explanatory survey research method with a quantitative approach. The data analysis techniques used were statistical tests, including multiple linear regression, t-test, f-test, and the coefficient of determination (R2) test. The results revealed that: (1) There was no significant influence of content exposure on the consumptive behavior of MAN 1 Bone students. (2) Celebrity endorsement significantly influenced the consumptive behavior of MAN 1 Bone students. (3) Content exposure and celebrity endorsement had a significant influence on the consumptive behavior of MAN 1 Bone students. The combined effect of the content exposure and celebrity endorsement variables on the consumptive behavior variable of MAN 1 Bone students was 25.2%, while the remaining 72.8% was explained by other factors outside the two independent variables studied.

Majelis Taklim (Islamic study groups) in urban areas play a strategic role beyond traditional religious education, specifically as a means of empowering women's social movements. This study aims to analyze the mechanisms of women's empowerment through Majelis Taklim Dar El Ihsan and its impact on strengthening social solidarity in Bambu Apus Village, Pamulang. Using a qualitative approach with a case study design, primary data were collected through in-depth interviews with administrators and congregants, supported by participant observation and documentation studies. The results indicate that Majelis Taklim Dar El Ihsan implements an empowerment model by integrating religious material with practical guidance, such as on family management and microeconomic empowerment. The resulting social solidarity is manifested in emotional and material support (bonding social capital) and social inclusiveness (bridging social capital), which bridges interactions between existing residents and newcomers. These findings confirm that Majelis Taklim effectively functions as a "third space" in building social resilience in urban communities through empowering women's institutions.

This study aims to analyze the implementation of integrity and ethics among Civil Servants (ASN) in public service delivery at the 5 Ilir Subdistrict Office in Palembang City. The 5 Ilir area, which is located in an urban setting with high population density and dynamic socio-economic activities, requires subdistrict officials to provide fast, responsive, and citizen-oriented services. The study adopts a qualitative approach using purposive sampling, designating the Head of the Subdistrict as the key informant. Data were collected through semi-structured interviews, direct observation of administrative service processes, and document analysis. Data analysis was conducted using a descriptive qualitative method to identify practices, values, and mechanisms related to the enforcement of integrity and ethics in public services. The results indicate that the implementation of integrity and ethics at the 5 Ilir Subdistrict Office is reflected in transparent standard operating procedures, an open queuing system, routine briefings, internal and external supervision mechanisms, and responsive leadership in addressing community issues, including the resolution of social conflicts and flood mitigation. The existence of a legal aid post further strengthens public access to justice. The enforcement of integrity is not merely normative but is systematically implemented through regulations, organizational culture, and oversight mechanisms. This study recommends strengthening the digitalization of public services as a strategy to enhance transparency, accountability, and service quality at the subdistrict level.

This research investigates transparency and accountability in the management of state-owned assets (BMN) at the East Java Regional Police's Logistics Bureau as a step toward enhancing effective, adaptive, and integrity-focused governance in police logistics. The research context arises from the growing public call for transparency and accountability in managing state assets, in line with policies for bureaucratic reform and digitalization in the police logistics framework. This study utilized a qualitative descriptive approach involving in-depth interviews, observations in the field, and analysis of documents. The results show that adopting a unified digital system has enhanced the efficiency of asset management, sped up inventory operations, and reduced the risks of asset misuse. Nonetheless, obstacles persist, such as restricted human resource capacity, data alignment problems, and inadequate performance-based assessments. The conversation emphasizes that effective asset management relies on the implementation of adaptive governance, motivation for public service, and precise performance assessment systems. The research indicates that the integration of digital innovation, professional skills, and a robust commitment to public accountability is crucial for creating transparent and sustainable governance in police logistics

Learning English as a Foreign Language English as a Foreign Language still faces various linguistic and psychological challenges, both in school-age and adult learners, such as limited vocabulary mastery, pronunciation difficulties, and low confidence in the use of English orally. This condition is exacerbated by affective factors in the form of anxiety and fear of making mistakes. This article aims to examine the use of songs as a learning medium that is able to create a fun learning atmosphere, while improving learners' English skills. This study uses a descriptive qualitative approach with data collection techniques in the form of semi-structured interviews to explore learners' perceptions and experiences related to the effectiveness of songs in English language learning. Meanwhile, the data were analyzed thematically to identify patterns of learning experiences, especially in terms of vocabulary mastery, classroom atmosphere, and confidence level. The results showed that the integration of songs in English learning was highly motivating in the active involvement of learners. Where the repetition of lyrics combined with melodies helps to strengthen vocabulary retention in long-term memory, as well as facilitate the imitation of pronunciation, intonation, and rhythm of language naturally. At the same time, it creates a relaxed and fun learning atmosphere, thereby lowering psychological barriers as described in the Affective Filter Hypothesis. Thus, songs are an integrative learning medium that is effective in bridging the academic needs and emotional comfort of learners, and is relevant to support the development of listening and speaking skills in English learning across ages.

This study aims to explore students’ perceptions of using Canva as a digital storytelling platform to enhance their visual and written narrative skills in English writing. The research employed a descriptive qualitative method involving 34 students who participated in a questionnaire consisting of eight closed-ended statements and two open-ended questions. The data were analyzed descriptively, using percentages to support qualitative interpretation. The findings revealed that most students perceived Canva as an accessible, enjoyable, and effective tool for developing writing skills. Students agreed that Canva helps them visualize ideas, organize stories logically, and combine words with images creatively. Moreover, Canva was found to improve students’ motivation, confidence, and emotional expression in English writing. These results are consistent with previous studies by Utami and Suriyani (2022), Febriansyah et al. (2023), Siregar et al. (2024), Herwani (2024), Eragamreddy and Joseph (2025), Hafidzin et al. (2025), and Jayanti et al. (2025), which collectively highlight Canva’s role in supporting writing engagement, creativity, and organization. The study concludes that Canva transforms traditional writing into a multimodal and meaningful process, combining linguistic and visual literacy. Therefore, Canva can be considered an innovative pedagogical tool that promotes creative thinking, digital competence, and expressive communication in the English writing classroom.

From the perspective of criminal liability theory, criminal policy, and Islamic law, sexual gratification is a form of corruption. According to positive criminal law, a person can only be held liable when three essential elements are fulfilled: an unlawful act, culpability (dolus or culpa), and the capacity for responsibility. However, in the context of public office, sexual gratification constitutes an unlawful act because it involves the acceptance of non-fina. Since the acceptance of sexual services within a power relationship usually indicates awareness of reciprocal policy gains, purpose (dolus) is frequently dominating. From the perspective of criminal policy, the restriction of sexual gratification reflects the growth of corruption as a white collar crime—a term coined by Edwin H. Sutherland—where abuse of power encompasses intangible rewards in addition to monetary transfers. According to Islamic law, sexual enjoyment constitutes two violations: it may be considered risywah (bribery) because of its transactional motive, and it may also be considered jarimah zina if it takes place outside of a legally recognized marriage. Such behaviors compromise the protection of property, ancestry, and religion through the framework of maqāṣid al-sharī‘ah developed by Abu Ishaq al-Shatibi in Al-Muwafaqat. The study comes to the conclusion that in order to guarantee accountability, protect public integrity, and promote social welfare, it is imperative to develop legal interpretation and evidential procedures.

Indonesia harbors extraordinary linguistic diversity with over 700 regional languages representing approximately 10% of the world's languages within 1.3% of global land area. However, this diversity faces existential threat from language shift toward Indonesian, urbanization, education policies favoring the national language, and globalization. UNESCO classifies 146 Indonesian languages as endangered, with several dozen facing imminent extinction as last speakers age without intergenerational transmission. This study documents the current vitality status of Indonesian regional languages, analyzes factors driving language endangerment and shift, evaluates existing conservation efforts, and proposes evidence-based strategies for language revitalization and maintenance. A multi-phase approach was employed: vitality assessment of 150 regional languages using UNESCO's Language Vitality and Endangerment framework with surveys involving 2,400 speakers; ethnographic case studies in 12 speech communities; policy analysis; evaluation of 25 revitalization programs; and predictive modeling of language shift trajectories. Of 150 surveyed languages, only 23 (15.3%) classified as safe with robust intergenerational transmission; 48 (32.0%) were vulnerable; 42 (28.0%) definitely endangered; 28 (18.7%) severely endangered; and 9 (6.0%) critically endangered. Key endangerment drivers included Indonesian-only education (92.3% of schools), urban migration (67.8% of youth), negative language attitudes (54.2% of parents), and lack of written traditions (73.4% of languages lacking orthographies). Modeling projected that without intervention, 40% of currently vulnerable languages will become definitely endangered within 20 years. Successful revitalization demands community-owned interventions, mother-tongue-based multilingual education, new digital language domains, and attitude change campaigns. Indonesia's linguistic diversity represents invaluable cultural and scientific heritage requiring urgent, coordinated conservation action.

This study aims to analyze the public relations strategy of the Dinas Komunikasi and Informatika Kabupaten Sragen in promoting “Jelajah Sukowati” on the Sragenkab.go.id website. This study uses a descriptive qualitative approach. The data source for this study is the Sragenkab.go.id website. The data in this study consists of interviews with informants and photo documentation uploaded to the Sragenkab.go.id website. Data collection techniques include observation, interviews, and documentation. The data analysis technique uses four data analysis techniques based on the Miles and Huberman model, namely data collection, data reduction, data presentation, and conclusion drawing (verification). The results of the study show that the Public Relations Dinas Komunikasi and Informatika Kabupaten Sragen has implemented these four strategies through problem identification, program planning, program implementation, and program success evaluation. In addition, SWOT analysis shows that public relations has utilized its strengths and opportunities, although there are still several weaknesses, such as inconsistent posting times and the lack of a comment section for the public, which is used as a benchmark for the success of the strategies implemented. The implementation of the public relations strategy of the Public Relations Dinas Komunikasi and Informatika Kabupaten Sragen has proven to be a bridge between the people of Sragen Regency and the Sragen Regency government in publications related to regional potential.

The results of the 2022 PISA indicate that science skills and interest in Indonesia are still low. One way to increase interest in science is by introducing inventor figure of science and techonology. However, alternative learning media that are communicative and relevant to adolescents' media consumption habits are needed. Therefore, this study aims to design a character design for an inventor in the field of science and technology for a Webtoon comic as an educational tool for adolescents aged 15–18. This study used qualitative and quantitative methods. The qualitative method was used to understand the needs and interests of the target audience and to gather information from the literature for scientific sources in designing the inventor character. The quantitative method was used as one of the character design evaluation criteria, based on voting results by adolescents aged 15–18. The character design used Marika Nieminen's principles: demographics, silhouette and shape, color, and characteristics. Several alternatives were used to generate character designs, which were then evaluated to determine the final design. The character design evaluation will be assessed using several variables within an evaluation framework.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

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

Leadership is the key to success in educational institutions, transformational leadership always emphasizes the vision, mission, and goals of the institution and motivates all school members to cooperate in advancing the institution. Transformational leadership implemented at SMAN 2 and MAN 2 Kediri City is able to bring positive changes and encourage better achievements. Educational institutions whose leaders implement transformational leadership tend to be more active and adaptive to change. This research model uses a qualitative approach with a multi-case study design. Data collection techniques use in-depth interviews, participant observation, and documentation. Data analysis techniques use condensation, data display, and drawing conclusions. The findings are that the principal drives teacher professionalism by encouraging followers to imitate his positive behavior, be flexible, and form a personal commitment to organizational transformation. The principal acts as an inspiring motivator by providing inspirational motivation, building effective communication, and consolidating the strength of followers to support transformation.Principals hone teachers' intellectual abilities by involving them in decision-making, preparing them for challenges, and providing coaching, feedback, and evaluation. Principals act as role models by providing personal feedback, rewarding them, and promoting the achievement of the institution's goals.

The rapid development of technology in the era of the Industrial Revolution 4.0 has driven the education sector to continuously adapt to the evolving demands of digital-based industries. One of the key technological innovations supporting this transformation is the Internet of Things (IoT), which enables data acquisition, real-time monitoring, and remote control of systems through internet networks. In response to these developments, a community service program was conducted to enhance the understanding and technical skills of students at SMK Negeri 1 Sindang through the provision and utilization of an IoT Trainer Kit Simulator as a practical learning medium. This activity aimed to bridge the gap between theoretical knowledge and industry-relevant technological applications by introducing students to hands-on IoT system implementation. The program included demonstrations and guided practice on the use of sensors, microcontrollers, and web-based monitoring platforms to simulate real-world industrial scenarios. The results indicate that students showed high enthusiasm and active participation throughout the activity. Moreover, participants were able to grasp the fundamental concepts of IoT systems, understand component integration, and recognize the relevance of IoT applications in supporting automation and digital transformation. Overall, this community service activity contributed positively to strengthening students’ digital competencies and preparedness for the demands of the contemporary industrial and technological landscape.

Sugarcane plays crucial and strategic role in the economy as the primary raw material for sugar production, thus ensuring proper procurement of sugarcane in the production process is crucial for smooth and successful production. This study aims to determine the management of sugarcane procurement and the constraints faced in meeting the demand for sugarcane at the Madukismo Sugar Factory in the Special Region of Yogyakarta. The basic method is descriptive. The location was determined intentionally at the Madukismo Sugar Factory in the Special Region of Yogyakarta, research was conducted from December 22, 2021, to January 15, 2022. The sampling technique was purposive sampling. Data collection methods included observation, interviews, and recording. The data analysis method was descriptive. The results of the study indicate that the procurement mechanisms for sugarcane include: factory capacity, planting area, planting schedule, and cutting schedule. Sugarcane planting is carried out in stages, starting from May to December, through partnership plantations and smallholder plantations. Harvesting and delivery of sugarcane to the Madukismo Sugar Factory are carried out in stages to prevent stockpiling of raw materials. Cutting is scheduled according to the harvest schedule, as the sugarcane harvest period is 12 months. Excess sugarcane raw materials at the Madukismo sugar factory will be processed the following day. Obstacles affecting the procurement of sugarcane raw materials at the Madukismo sugar factory include cutting labor, transportation, and the COVID-19 pandemic, which caused difficulties providing harvesting labor, resulting in delayed raw material delivery to the sugar factory in 2020 and 2021.