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This community service activity was motivated by the limited capacity of village officials in providing government administration services, particularly in managing correspondence, archiving documents, and implementing standard operating procedures for services. This condition has resulted in the suboptimal quality of public services at the village level. The objective of this activity was to improve the capacity and competence of village officials in providing village government administration services to be more effective, efficient, and accountable. The method used was a participatory approach through the stages of problem identification, joint planning, regulation socialization, technical training, service simulations, and implementation assistance. The subjects of the activity were officials from Kadur Village, North Rupat District, Bengkalis Regency. The results of the activity showed an increase in the officials' understanding and skills in administrative management, the development of a more standardized administrative document format, and a growing collective awareness of the importance of orderly administration as part of good governance. In addition, internal leadership initiatives emerged that encouraged sustainable change within the village government environment. Overall, this activity had a positive impact on improving the quality of village administration services and was the first step towards a more professional transformation of village governance.

Teenage pregnancy remains a reproductive health issue in Indonesia, including in Batam City. According to data from the Batam City Health Office in 2024, there were 18 cases of teenage pregnancy (0.06%) with the Lubuk Baja Health Center being one of the highest areas. Pregnant teenagers are at high risk of complications such as anemia, malnutrition, and low birth weight (LBW), which contribute to high rates of maternal and infant morbidity. This study used a descriptive method with a case study approach on Ny. S, an 18-year-old teenager with a pregnancy in the Lubuk Baja Health Center area of Batam City in 2025. Data collection was conducted through interviews, observations, physical examinations, and SOAP documentation following the 7-step Varney obstetric management. The findings revealed that Ny. S experienced mild complaints such as nausea, reduced appetite, and anxiety about her pregnancy. After three visits, the mother's complaints decreased, appetite improved, anxiety decreased, and nutritional status was within normal limits. Comprehensive midwifery care with a biopsychosocial approach was proven effective in improving both the physical and mental health of pregnant teenagers and preventing pregnancy complications.

William Shakespeare’s Romeo and Juliet portrays deep reflections on human nature and moral values, emphasizing the importance of dignity, freedom, and emotional connection in human life. The tragedy explores the conflict between personal feelings and social constraints, revealing how human ideals often clash with rigid traditions and authority. Through the struggles of Romeo and Juliet, Shakespeare presents the essence of humanity love, empathy, and the pursuit of understanding amid division and hostility. This study aims to analyze the values of humanism in William Shakespeare’s tragedy Romeo and Juliet. The research focuses on how humanist ideals such as dignity, freedom, solidarity, and communicative rationality are reflected through the characters’ dialogues, decisions, and relationships. Using a qualitative descriptive method, the analysis applies Hardiman’s theory of humanism, supported by references from academic books and journals. The findings reveal six categories of humanism values: appreciating opinions (20%), cooperation (17%), sacrifice (23%), caring for others (13%), helping (13%), and solidarity (14%). Among these, sacrifice appears as the most dominant value, especially reflected in the willingness of Romeo and Juliet to risk everything for love and moral ideals. These findings indicate that Romeo and Juliet embodies humanist values that emphasize empathy, moral responsibility, and the importance of understanding in overcoming social barriers. Although the story ends in tragedy, the play highlights that love, empathy, and dialogue are essential for building a humane society. Therefore, Romeo and Juliet is not only a timeless love story but also a literary work that reflects enduring humanist ideals relevant to modern life.

Food Additives (BTP) in current consumer products increase the risk of non-communicable diseases such as diabetes, kidney failure, and cancer, particularly in children. Housewives play a central role in managing family consumption to minimize these risks. This community service activity aims to enhance the knowledge and awareness of 'Aisyiyah women in Buluspesantren, Kebumen Regency, regarding food safety and BTP regulations. The implementation method included preparing materials based on BPOM regulations, interactive education, product discussions, and simulations on reading nutrition labels. The results showed high enthusiasm from participants who are now more critical in distinguishing between natural and synthetic additives. Participants reported a significant improvement in their ability to identify food ingredients and additives in everyday products. The final evaluation recorded a 22.2-point increase in participant understanding. By establishing the habit of reading food labels, it is expected that the risk of non-communicable diseases within the family environment can be reduced, thus improving public health literacy and dietary choices within the community.

This study comprehensively analyzes the impact of sectarian conflict on mental health in Kirkuk through an ethnoreligious meta-analysis of 42 studies with a total of N=15,427 participants published between 2003 and 2023. The quantitative synthesis indicates a PTSD prevalence of 47.3% (95% CI: 44.2–50.4) among victims of sectarian conflict, with an uneven distribution across groups, where the Turkmen minority records the highest prevalence at 56.8%, exceeding Arab Sunni at 43.2% and Kurdish at 41.5%. Logistic regression analysis demonstrates that direct exposure to sectarian violence increases the risk of major depression by 3.4 times (OR=3.42, p<.001), anxiety by 2.8 times (OR=2.83, p<.001), and psychosomatic disorders by 2.5 times (OR=2.54, p<.001). Further meta-regression identifies duration of conflict exposure (β=.426, p<.001) and intensity of sectarian violence (β=.389, p<.001) as significant predictors of symptom severity. In contrast to the findings of Cummings et al. (2013) and Eltally (2019), which emphasize the general impact of conflict, this study reveals specific intergenerational trauma patterns within distinct ethnoreligious communities, with the highest transmission observed among families of sectarian massacre victims (d=0.82), while simultaneously highlighting variations in communal resilience across groups as a differential determinant of post-conflict psychosocial dynamics.

Anemia remains a significant public health problem commonly experienced by women of reproductive age (WRA) due to inadequate iron intake, blood loss during menstruation, and limited knowledge of healthy dietary patterns and balanced nutrition. This condition may lead to decreased productivity, reduced immune function, and an increased risk of complications in future pregnancies. This community service activity aimed to improve the knowledge of women of reproductive age regarding anemia prevention through balanced nutrition education at PMB Imelda Tae Sekadau in 2026. The method used in this activity was health education through lectures, discussions, and question-and-answer sessions. The activity was conducted through several stages, including opening, material delivery, evaluation, and closing sessions. A total of 11 women of reproductive age participated actively in the counseling session. The evaluation results indicated that more than 85% of participants were able to answer the questions provided after the material presentation, suggesting an improvement in understanding of anemia, its signs and symptoms, impacts, and the importance of implementing balanced nutrition in daily life as an effort to prevent anemia. Therefore, this counseling activity was considered effective in enhancing the knowledge of women of reproductive age regarding anemia prevention through balanced nutrition education.

This study evaluates the implementation of spot-check testing for road preservation works in Manado City, specifically on the Kairagi–Mapanget segment, the Manado City–Wori boundary, and the Liwas Terminal Access Road, to identify existing problems and assess the effectiveness of engineering-based mitigation efforts. The objective is to examine construction quality compliance with technical specifications and identify operational challenges encountered on site. The methodology encompasses the measurement of asphalt layer thickness and density via a core drill, the examination of contract documents, the analysis of laboratory test results, and the execution of field observations. The findings show that most samples meet the required standards, although several locations require corrective action. Challenges arise from weather conditions, heavy traffic, equipment limitations, and the need for adaptation to updated technical regulations. Operational mitigation strategies, staff training, the use of core drill technology, and digital documentation were found to enhance accuracy and efficiency in evaluation. The research demonstrates the value of stakeholder collaboration and capacity building in supporting quality control for road preservation works. A multidimensional approach is effective in resolving technical and operational complexities in urban road projects.

Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near real time under simulated deployment conditions, continuously acquiring and analyzing physiological signals (respiratory rate, heart rate, SpO₂, and body temperature) alongside event-driven acoustic biomarkers (cough sounds) within a distributed architecture. A lightweight edge module performs local signal preprocessing and anomaly triage, selectively transmitting salient information to a cloud-based multimodal deep learning model for refined risk estimation and interpretability analysis. The framework was evaluated using a multi-source dataset comprising public repositories (MIMIC-III and Coswara) and a clinically supervised wearable study conducted in two Nigerian hospitals, resulting in 718  hours of quality-controlled multimodal monitoring data. In a pooled multi-source evaluation, the system achieved an AUC of 0.95, while in a clinically realistic local-only evaluation, the AUC was 0.86, reflecting a consistent but preliminary diagnostic signal. These results highlight the importance of local data adaptation for real-world applicability and suggest that multimodal AI can provide meaningful early risk indicators under resource constraints. Beyond predictive performance, this work demonstrates the feasibility of integrating multimodal learning, edge–cloud computation, and explainable analytics into a deployment-aware, privacy-preserving monitoring framework for low-resource healthcare environments.

Artificial Intelligence (AI) is increasingly recognized as a transformative enabler of early disease detection, with the potential to improve diagnostic accuracy, support predictive risk stratification, and advance preventive healthcare. Despite rapid methodological progress, many existing reviews remain performance-centric, offering limited insight into generalizability, ethical governance, and real-world implementation constraints. This paper presents a narrative and integrative review with an adoption-focused, translational perspective, synthesizing recent developments in AI-driven early disease detection across oncology, cardiology, neurology, and infectious disease surveillance. Drawing on peer-reviewed literature published primarily between 2016 and 2025, the review examines reported performance gains alongside persistent limitations related to data heterogeneity, population bias, explainability, and regulatory fragmentation. Through cross-sectional synthesis, we identify three recurring gaps in prior reviews: (i) overgeneralization of AI’s diagnostic superiority, (ii) insufficient consideration of ethical and legal accountability, and (iii) a lack of actionable guidance for scalable clinical implementation. Integrating technical, ethical, and policy dimensions into a unified conceptual framework, this review demonstrates that while AI systems can consistently enhance diagnostic accuracy and early risk stratification in well-defined tasks, sustained clinical adoption depends on aligning technical performance with governance readiness, interpretability, and workflow integration. The analysis further highlights how implementation mechanisms—such as explainable AI, continuous post-deployment monitoring, and clinician-centered deployment strategies—mediate the translation of algorithmic innovation into real-world healthcare impact. Overall, this review provides a critical reference for researchers, clinicians, and policymakers seeking to translate AI innovation into safe, equitable, and trustworthy clinical practice.

This study aims to analyze the effectiveness of narcotics rehabilitation for offenders who reoffend after undergoing rehabilitation, using a case study at the Bukittinggi Police Resort (Polresta Bukittinggi) and rehabilitation institutions. This research is motivated by the continued occurrence of narcotics offenders who relapse into criminal behavior despite having completed medical and social rehabilitation programs as mandated by Law Number 35 of 2009 concerning Narcotics. The research method used is empirical juridical with a qualitative approach through interviews, literature review, and case documentation. Primary data were obtained from investigators at Polresta Bukittinggi and rehabilitation institutions, while secondary data were obtained from laws and regulations as well as relevant literature. The results indicate that the investigation process leading to rehabilitation has been conducted in accordance with applicable procedures through assessment mechanisms by the Integrated Assessment Team (Tim Asesmen Terpadu). However, the effectiveness of rehabilitation in preventing recidivism remains suboptimal, as evidenced by offenders who return to narcotics abuse after completing rehabilitation programs. This suggests that rehabilitation programs require continuous supervision and more comprehensive approaches, including medical, psychological, and social aspects, to minimize the risk of relapse among former narcotics abusers.

Tuberculosis (TB) remains a significant health issue in Indonesia, with the number of cases not showing a decline. Pediatric pulmonary tuberculosis is one of the leading causes of morbidity and mortality. In 2018, the number of TB cases in Aceh reached 41,595, with Aceh Utara having the highest number at 4,819 cases, followed by Bireuen with 3,636 cases, while Sabang recorded the lowest at 272 cases. The primary risk factor for pulmonary tuberculosis in children is a history of contact with adult TB patients, as children's immune systems are still weak, allowing the bacteria to enter their bodies easily. This study aims to examine the history of TB contact in children at the Pediatric Clinic of Cut Meutia General Hospital. The research used a descriptive observational design, with 105 respondents, and data was collected from medical records. The results showed that the majority of respondents were toddlers (47.6%), most were male (54.3%), and 58.1% had good nutritional status. A significant percentage of respondents (77.1%) had a history of contact with TB patients, and 83.8% did not receive BCG vaccination. These findings highlight that contact with TB patients is a key factor in the transmission to children.

Dementia is a progressive neurocognitive disorder often accompanied by behavioral and psychological symptoms such as agitation, anxiety, and depression. Pharmacological treatments provide only modest benefits while introducing significant risks, which highlights the need for safer, non-pharmacological alternatives. This literature review examines the role of virtual reality in dementia care, with a focus on its integration with therapies such as music, reminiscence, sensory stimulation, and cognitive training. Evidence from prior research suggests that virtual reality can enhance cognitive functions, reduce symptoms, and improve emotional well-being while also strengthening patient–caregiver interaction. However, challenges related to usability, accessibility, cost, and long-term effectiveness continue to limit adoption. Gaps in research, including limited cultural diversity, inconsistent reporting of intervention design, and a lack of large-scale longitudinal trials, emphasize the need for future work exploring cross-cultural feasibility and AI-driven personalization. Overall, virtual reality represents a promising and evolving non-pharmacological intervention that has the potential to transform dementia care by improving quality of life and reducing reliance on medication.

This study aims to examine the development of Islamic educational institutions in Indonesia from the classical to the modern era, as well as the factors influencing their transformation and strategies for strengthening them to remain relevant to contemporary needs without abandoning Islamic values. The research method used is a literature review (library research) by analyzing books, scientific journals, and official documents related to Islamic education, both nationally and internationally, published within the last five years. The findings indicate that Islamic education evolved from informal learning through majelis taklim, surau, and langgar, to the establishment of pesantren, madrasahs, and modern Islamic higher education institutions that integrate religious and general knowledge. The transformation of these institutions is influenced by local cultural factors, international scholarly networks, political pressures and colonialism, reformist figures, globalization, economic demands, social mobility, and national education policies. In the era of globalization and the Fourth Industrial Revolution, Islamic educational institutions face challenges such as technological access disparities, limited teacher competence in digital pedagogy, curriculum integration, and the risk of educational commodification. Strengthening strategies include developing integrative curricula, professionalizing teachers, utilizing digital technology, promoting media literacy based on Islamic values, developing entrepreneurship, revitalizing traditional knowledge, and enhancing alumni networks and visionary leadership. This study emphasizes that the synergy among pesantren, madrasahs, and Islamic higher education institutions forms a national Islamic education ecosystem that is adaptive, rooted in spiritual values, and capable of producing Muslim generations who are morally upright, knowledgeable, and globally competitive.

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Hypertension is a major modifiable risk factor contributing to the development of Acute Coronary Syndrome (ACS), which includes STEMI, NSTEMI, and unstable angina. The increasing prevalence of hypertension worldwide raises concern regarding its impact on cardiovascular outcomes. This study aimed to describe the profile of ACS patients with hypertension receiving angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) therapy in the Intensive Coronary Care Unit (ICCU) of RSUD Dr. Soetomo Surabaya. Using a descriptive cross-sectional method, data from 91 patients treated between July 2021 and October 2024 were analyzed. Variables included demographic characteristics, clinical classification of ACS, hypertension degree, comorbidities, types and doses of ACEI/ARB administered. The results showed that most patients were male (73%) and aged over 65 years (40%). Chi-square analysis revealed no significant relationship between hypertension degree, ACS classification, or most comorbidities with drug selection or dosage (p>0.05), except for a significant association between coronary heart disease comorbidity and ARB selection. These findings suggest that in hypertensive ACS patients, the choice between ACEI and ARB therapy is predominantly based on individual comorbidity profiles rather than blood pressure severity or ACS type. The study highlights the importance of personalized treatment approaches considering patient comorbidities to optimize cardiovascular outcomes.

Smoking is the activity of smoking smoke from the burning of tobacco in cigarettes, one end of the cigarette is burned and the smoke can be smoked through the mouth on the other end. If the amount or form of hemoglobin is abnormal, red blood cells cannot function properly in transporting oxygen and carbon dioxide. This can trigger various health problems, including anemia. From the results of this study, we can see that the average value or mean value of hemoglobin levels is 12.5 g/dL, the median value is 12.9 g/dL, the minimum value is 11.9 g/dL, and the maximum value is 16.2 g/dL. The results showed that most of the respondents had hemoglobin levels within normal limits. In detail, hemoglobin levels in the normal category were 23 respondents, low category was 1 respondent, and high category was 1 respondent. This shows that the majority of active smokers in Market VI of North Binjai Village still have normal hemoglobin levels, although smoking has the potential to affect oxygen transport capacity in the long term and increase the risk of health problems if it continues continuously.

The Cash on Delivery (COD) system is one of the payment methods frequently used in online buying and selling transactions, where consumers pay for ordered products upon receipt of the goods. Although it provides convenience, this system often causes problems, especially related to transaction cancellations by consumers after the delivery process has been carried out by business actors. This research examines how the regulation and allocation of risk for goods return in the COD system according to the Civil Code and the forms of legal protection provided to business actors against the risk of goods return in the COD system according to Law Number 8 of 1999 concerning Consumer Protection. The method used in this research is normative, supplemented by literature study results such as legislation. The results show that the Civil Code recognizes the concept of risk as a legal consequence related to the possibility of losses on the object of the agreement, and legal protection for business actors is divided into preventive legal protection and repressive legal protection.

Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implementation-ready heart disease screening framework through the integration of SHAP-based Explainable AI. The CDC's Indicators of Heart Disease dataset (319,795 samples) was processed according to WHO/CDC standards, followed by class imbalance handling, hyperparameter optimization using RandomizedSearchCV, evaluation based on metrics sensitive to minority classes (AUC, recall, F1-score, AUC-PR), and threshold tuning to maximize recall. The baseline model showed a very low recall of 12.18%. After optimization and threshold tuning at 0.10, the model achieved recall >96% (96.79%) with a G-mean of 0.7477, supported by SHAP interpretation stability and the ability to capture non-linear interactions between advanced age (AgeCategory_WHO) and poor general health (GenHealth). SHAP analysis confirmed the alignment of dominant features with medical evidence, and its visualizations provide transparent explanations for healthcare professionals indicating its potential implementation as an interpretable clinical decision support system.

This study aims to explore the influence of formal language skills on the use of slang among first-semester students in the English Language and Literature Education Program at Muhammadiyah University Maumere. The method used in this study is a descriptive qualitative approach with subjects consisting of first-year students. Information was collected through observation, questionnaire distribution, and brief interviews about daily language use habits and academic contexts. The findings of this study indicate that the majority of students actively use slang when interacting informally, especially when communicating with peers and on social media platforms. The use of slang serves as a way to express identity, build social solidarity, and facilitate social adjustment. However, deficiencies in formal language skills make it difficult for some students to recognize the appropriate use of language in context, so that elements of slang often creep into academic situations, such as in class discussions and assignment writing. This study concludes that formal language skills have an impact on the use of slang. Students with high formal language skills tend to be better at switching between language varieties according to context, while those with low formal skills are at greater risk of mixing them up.

This study is motivated by the increasing complexity of financing coordination between the National Health Insurance (BPJS Kesehatan) and supplementary health insurance providers under the Coordination of Benefits (KAPJ) scheme, which creates potential claim disputes and administrative risks for hospitals. Although Minister of Health Decree No. HK.01.07/MENKES/1117/2025 regulates payment allocation and membership verification mechanisms, it does not explicitly recognize pre-admission confirmation as a preventive legal protection instrument. This research aims to analyze the normative position of pre-admission confirmation within the KAPJ framework, conceptualize it as a preventive legal protection mechanism, and formulate a proportional implementation model. The study employs a normative juridical method using statutory and conceptual approaches through literature review of relevant regulations and scholarly works. The findings indicate that pre-admission confirmation possesses implicit normative legitimacy through membership verification obligations and system integration requirements, and functions as a risk allocation mechanism that clarifies payment responsibilities prior to service delivery. Its implementation enhances legal certainty, reduces fraud potential, and minimizes claim disputes, provided that access to emergency medical services remains guaranteed.