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The digital revolution in global health presents great opportunities and challenges through the integration of artificial intelligence (AI), big data and telemedicine. However, the absence of a transcendent ethical foundation in the development of medical technology risks undermining human values and justice. This study aims to critically examine the direction of digital health development by integrating the ethical and spiritual values of the Qur'an. The method used is a critical qualitative approach based on library research, with normative analysis of verses related to health principles, information ethics, and maqāṣid al-syarī'ah. The results of the study show that in QS. Al-Isrā': 70 emphasizes human dignity as the basis for medical data protection; likewise in QS. Al-Syu'arā': 80 emphasizes that healing is divine and should not be separated from spiritual values; while in QS. Al-Baqarah: 286 provides guidance on the limits of responsibility and human capabilities in the utilization of technology. The critical discussion underlines the importance of building Qur'anic-based digital ethics that emphasize justice ('adālah), trustworthiness, and compassion (raḥmah) in designing equitable and inclusive artificial intelligence (AI) systems and remote health services. It is hoped that this study will provide recommendations for the development of Qur'anic Digital Ethics as a future normative framework for global digital health innovation.

Stunting remains one of the major public health issues at the national level in Indonesia. As an archipelagic country, Indonesia faces unique challenges in tackling stunting, particularly in regions with limited access to healthcare services. Advances in information technology offer new opportunities to support stunting prevention efforts, including through the utilization of health data. Such data can be used to detect stunting risks early and to monitor children's nutritional status more effectively. The use of health data applications or systems by Posyandu cadres is influenced by various factors, including availability of time, cost, level of trust, and perceptions of ease of use and usefulness. This study aims to identify the determinants of health data utilization by Posyandu cadres for toddlers as a stunting prevention effort in Geneng Subdistrict, Ngawi Regency. This research is an analytical quantitative study with a cross-sectional approach. A sample of 80 Posyandu cadres for toddlers in Geneng Subdistrict was selected using purposive sampling. Data were collected through questionnaires and analyzed using univariate, bivariate, and multivariate logistic regression tests to identify the factors influencing the use of health data in stunting prevention. The results show that the significant determinants include the age of the Posyandu cadre, their education level, and the amount of time they dedicate to Posyandu activities. The determinants of age, education level, and time significantly influence the utilization of health data and thereby affect the optimization of stunting prevention. Strengthening cadre capacity in these aspects is necessary to support more effective stunting prevention.

The global healthcare landscape is undergoing a digital transformation, driven by the integration of Artificial Intelligence (AI), Big Data, and Telemedicine. These technologies have become essential not only in addressing immediate clinical demands but also in shaping long-term system-wide reforms. However, digital health adoption remains uneven across countries, influenced by variations in infrastructure, policy frameworks, and socioeconomic conditions. This study aims to explore how the integration of AI, Big Data, and Telemedicine contributes to healthcare system transformation through a comparative qualitative-descriptive analysis of four countries: the United States, India, Indonesia, and Rwanda. Secondary data were collected from peer-reviewed journals, government reports, and institutional publications from 2019 to 2024. Thematic analysis focused on policy direction, infrastructure readiness, implementation models, and observed outcomes. Findings reveal that while the U.S. leads with private-sector-driven innovation, India emphasizes national-scale integration, Indonesia navigates digital transformation in a geographically dispersed setting, and Rwanda demonstrates scalable solutions in low-resource environments. Despite different contexts, common challenges include interoperability gaps, ethical data governance, and disparities in digital literacy. The study synthesizes strategic insights and highlights the importance of inclusive, adaptable, and well-regulated digital ecosystems. It concludes that successful digital health implementation depends not only on technology, but also on governance, investment, and equity-focused design.

Stunting remains one of the major public health issues at the national level in Indonesia. As an archipelagic country, Indonesia faces unique challenges in tackling stunting, particularly in regions with limited access to healthcare services. Advances in information technology offer new opportunities to support stunting prevention efforts, including through the utilization of health data. Such data can be used to detect stunting risks early and to monitor children's nutritional status more effectively. The use of health data applications or systems by Posyandu cadres is influenced by various factors, including availability of time, cost, level of trust, and perceptions of ease of use and usefulness. This study aims to identify the determinants of health data utilization by Posyandu cadres for toddlers as a stunting prevention effort in Geneng Subdistrict, Ngawi Regency. This research is an analytical quantitative study with a cross-sectional approach. A sample of 80 Posyandu cadres for toddlers in Geneng Subdistrict was selected using purposive sampling. Data were collected through questionnaires and analyzed using univariate, bivariate, and multivariate logistic regression tests to identify the factors influencing the use of health data in stunting prevention. The results show that the significant determinants include the age of the Posyandu cadre, their education level, and the amount of time they dedicate to Posyandu activities. The determinants of age, education level, and time significantly influence the utilization of health data and thereby affect the optimization of stunting prevention. Strengthening cadre capacity in these aspects is necessary to support more effective stunting prevention.

The digital revolution in global health presents great opportunities and challenges through the integration of artificial intelligence (AI), big data and telemedicine. However, the absence of a transcendent ethical foundation in the development of medical technology risks undermining human values and justice. This study aims to critically examine the direction of digital health development by integrating the ethical and spiritual values of the Qur'an. The method used is a critical qualitative approach based on library research, with normative analysis of verses related to health principles, information ethics, and maqāṣid al-syarī'ah. The results of the study show that in QS. Al-Isrā': 70 emphasizes human dignity as the basis for medical data protection; likewise in QS. Al-Syu'arā': 80 emphasizes that healing is divine and should not be separated from spiritual values; while in QS. Al-Baqarah: 286 provides guidance on the limits of responsibility and human capabilities in the utilization of technology. The critical discussion underlines the importance of building Qur'anic-based digital ethics that emphasize justice ('adālah), trustworthiness, and compassion (raḥmah) in designing equitable and inclusive artificial intelligence (AI) systems and remote health services. It is hoped that this study will provide recommendations for the development of Qur'anic Digital Ethics as a future normative framework for global digital health innovation.

The global healthcare landscape is undergoing a digital transformation, driven by the integration of Artificial Intelligence (AI), Big Data, and Telemedicine. These technologies have become essential not only in addressing immediate clinical demands but also in shaping long-term system-wide reforms. However, digital health adoption remains uneven across countries, influenced by variations in infrastructure, policy frameworks, and socioeconomic conditions. This study aims to explore how the integration of AI, Big Data, and Telemedicine contributes to healthcare system transformation through a comparative qualitative-descriptive analysis of four countries: the United States, India, Indonesia, and Rwanda. Secondary data were collected from peer-reviewed journals, government reports, and institutional publications from 2019 to 2024. Thematic analysis focused on policy direction, infrastructure readiness, implementation models, and observed outcomes. Findings reveal that while the U.S. leads with private-sector-driven innovation, India emphasizes national-scale integration, Indonesia navigates digital transformation in a geographically dispersed setting, and Rwanda demonstrates scalable solutions in low-resource environments. Despite different contexts, common challenges include interoperability gaps, ethical data governance, and disparities in digital literacy. The study synthesizes strategic insights and highlights the importance of inclusive, adaptable, and well-regulated digital ecosystems. It concludes that successful digital health implementation depends not only on technology, but also on governance, investment, and equity-focused design.

This study examines strategies for enhancing community participation in regional development planning by implementing bottom-up approaches. As democratic governance evolves, the need for meaningful citizen engagement in development planning becomes increasingly critical for ensuring sustainable and equitable outcomes. This research analyzes the effectiveness of participatory planning mechanisms, identifies barriers to community engagement, and proposes innovative strategies for strengthening bottom-up development planning processes. Using a comparative case study methodology across six regional governments, this study evaluates various participatory instruments including citizen forums, participatory budgeting, community mapping, and digital engagement platforms. The findings reveal that successful bottom-up planning requires institutional commitment, capacity building, cultural sensitivity, and sustained dialogue between government and communities. The study provides a framework for designing and implementing effective participatory planning systems that genuinely incorporate community voices in regional development decisions.

This paper examines the implementation of translanguaging pedagogies within digital learning environments and their effectiveness in developing multilingual competence among Generation Z learners. Through a mixed-methods study involving 186 students and 14 educators across six higher education institutions, this research investigates how strategic integration of translanguaging practices in digital spaces supports linguistic flexibility, metalinguistic awareness, and cross-cultural competence. Findings reveal that digitally-mediated translanguaging approaches resulted in significant improvements in learners' willingness to communicate across languages (p<.01), metalinguistic awareness (p<.001), and cross-cultural communication efficacy (p<.01) compared to monolingual instructional approaches. The research further identifies five key digital translanguaging strategies that effectively leverage Generation Z's technological aptitude and multimodal literacy. This study contributes to the growing field of multilingual digital pedagogy by demonstrating how translanguaging can be systematically integrated into digital learning environments to foster linguistic repertoire expansion that aligns with the communicative needs of increasingly globalized contexts. The pedagogical framework presented offers practical guidance for educators seeking to implement translanguaging approaches in various digital learning modalities while accommodating Generation Z's learning preferences and multilingual development.

This paper examines the implementation of translanguaging pedagogies within digital learning environments and their effectiveness in developing multilingual competence among Generation Z learners. Through a mixed-methods study involving 186 students and 14 educators across six higher education institutions, this research investigates how strategic integration of translanguaging practices in digital spaces supports linguistic flexibility, metalinguistic awareness, and cross-cultural competence. Findings reveal that digitally-mediated translanguaging approaches resulted in significant improvements in learners' willingness to communicate across languages (p<.01), metalinguistic awareness (p<.001), and cross-cultural communication efficacy (p<.01) compared to monolingual instructional approaches. The research further identifies five key digital translanguaging strategies that effectively leverage Generation Z's technological aptitude and multimodal literacy. This study contributes to the growing field of multilingual digital pedagogy by demonstrating how translanguaging can be systematically integrated into digital learning environments to foster linguistic repertoire expansion that aligns with the communicative needs of increasingly globalized contexts. The pedagogical framework presented offers practical guidance for educators seeking to implement translanguaging approaches in various digital learning modalities while accommodating Generation Z's learning preferences and multilingual development.

This study examines strategies for enhancing community participation in regional development planning by implementing bottom-up approaches. As democratic governance evolves, the need for meaningful citizen engagement in development planning becomes increasingly critical for ensuring sustainable and equitable outcomes. This research analyzes the effectiveness of participatory planning mechanisms, identifies barriers to community engagement, and proposes innovative strategies for strengthening bottom-up development planning processes. Using a comparative case study methodology across six regional governments, this study evaluates various participatory instruments including citizen forums, participatory budgeting, community mapping, and digital engagement platforms. The findings reveal that successful bottom-up planning requires institutional commitment, capacity building, cultural sensitivity, and sustained dialogue between government and communities. The study provides a framework for designing and implementing effective participatory planning systems that genuinely incorporate community voices in regional development decisions.

This study presents a cross-national analysis of adolescent mental health and academic stress to explore their interrelations and broader implications for global educational policies. Using data from Bangladesh, Gambia, and Indonesia, the research examines how academic expectations, pressure to perform, and school environments affect students' psychological well-being in diverse cultural, educational, and socioeconomic contexts. The study identifies significant patterns and disparities in mental health outcomes, revealing that stress levels and psychological challenges vary significantly between countries. In Bangladesh, medical students face a critical mental health burden, with high levels of anxiety, stress, digital addiction, and sleep deprivation being common issues. This situation underscores the pressing need for mental health interventions in the education sector, particularly within high-pressure fields such as medical studies. Conversely, in Gambia, there has been a notable increase in inpatient mental health admissions, suggesting a growing awareness of mental health issues and improved access to institutional care. However, the decline in community-based mental health services presents a critical challenge, as these services are essential for sustainable mental health support outside of hospital settings. In Indonesia, while academic stress is prevalent, the focus has been on improving institutional care and psychological support for students, yet there remains a gap in addressing stressors within the school environment. This study emphasizes the urgent need for inclusive, student-centered educational reforms that prioritize mental health support systems and advocate for the integration of mental health services into educational settings. The findings suggest that global educational policies must consider these country-specific challenges and trends in order to create more balanced academic environments that foster both mental well-being and academic success

Picky eating is a prevalent issue among preschool children, often leading to nutritional deficiencies, disrupted growth, and increased parental stress. This systematic literature review aims to explore the management of picky eating through complementary and alternative therapies (CAT) and compares these findings with contemporary interventions. Picky eating behaviors can significantly affect children’s eating patterns, leading to challenges in maintaining a balanced diet. Although traditional medical interventions focus on behavioral modification and nutritional counseling, many parents are seeking alternative approaches to manage these behaviors in a more holistic and natural manner. This review encompasses studies published between 2015 and 2025, sourced from PubMed, Scopus, and Google Scholar, using keywords such as "Alternative Therapy," "Picky Eating," and "Preschool Children." The review population consists of 20 articles, and the sample includes 5 selected studies that meet the criteria for evaluating the effectiveness of complementary and alternative therapies in managing picky eating behaviors. Data analysis utilized thematic analysis, with the findings analyzed thematically to draw conclusions regarding the efficacy of CAT. The results indicated that mindfulness practices, dietary practices, Tuina massage as a traditional therapy, taste exposure, sensory learning, and nutrition education were all effective in reducing picky eating behavior among children aged 1 to 5 years. These approaches not only helped to improve children’s acceptance of a wider variety of foods but also contributed to the reduction of stress for both children and parents. The findings suggest that integrating these alternative therapies into conventional practices can provide a comprehensive and effective strategy to address picky eating in preschool children. Future research is needed to further explore the long-term impacts of these therapies and to identify the most suitable combinations for different individual needs.

Chronic and degenerative diseases have a profound effect on patients' overall well-being, often accompanied by psychological distress such as anxiety and chronic stress. While pharmacological treatments are commonly used, they may have limitations, including accessibility issues and side effects, which have prompted interest in non-pharmacological interventions. This scoping review aims to systematically map and synthesize the empirical evidence on the physiological and psychological effects of the 4-7-8 breathing technique, a structured slow-breathing method that involves inhaling for 4 seconds, holding the breath for 7 seconds, and exhaling for 8 seconds. The review adhered to PRISMA-ScR guidelines and included 15 studies published between 2013 and 2024. These studies examined diverse populations and employed various methodological approaches. The findings were categorized into five major themes: (1) the 4-7-8 technique's effectiveness in reducing stress and anxiety, (2) improvements in cardiovascular markers such as heart rate variability and blood pressure, (3) its adaptability in both clinical and community-based multimodal interventions, (4) its preventive benefits for healthy individuals, and (5) its impact on parasympathetic activity via vagal pathways, enhancing autonomic regulation and emotional stability. The technique is supported by both theoretical and empirical evidence, positioning it as an accessible, low-cost psychoregulatory intervention. The results suggest that the 4-7-8 breathing technique could play a key role in holistic nursing care, health education, and public health promotion strategies, offering a simple yet effective approach to managing stress, improving mental health, and enhancing cardiovascular health. Future studies could explore long-term benefits and its integration into more diverse health interventions.

Pregnancy is a natural process that many women undergo, but it is often accompanied by discomfort during antenatal visits. One of the most common symptoms during pregnancy is nausea and vomiting, known as emesis gravidarum, which typically occurs in the first trimester. Various natural remedies, such as lime extract, are believed to alleviate these symptoms. Lime, rich in essential limonin, linalool, and flavonoids, offers benefits for pregnant women by potentially relieving nausea and vomiting. Additionally, honey, when consumed during pregnancy, can support overall health and immunity. This study aims to investigate the effect of honey-lime juice (Citrus aurantifolia) on nausea and vomiting in pregnant women with emesis gravidarum at Puskesmas Murung Pudak, Tabalong Regency, South Kalimantan. The research design used a pre-experimental approach with a one-group pre-test post-test method. The intervention was administered for four consecutive days, during which the frequency of nausea and vomiting was measured on the first and fourth days. A purposive sampling technique was applied to select 30 pregnant women as participants. Data were collected through observation using the PUQE (Pregnancy-Unique Quantification of Emesis and Nausea) scoring system. The analysis was conducted using the Paired T-Test, which resulted in a p-value of 0.000, indicating a significant effect with a confidence level of α = 0.05. Therefore, it can be concluded that there is a significant effect of giving honey-lime juice in reducing nausea and vomiting in pregnant women with emesis gravidarum. This finding suggests that honey-lime juice could be an effective natural remedy to alleviate pregnancy-related nausea and vomiting, offering a promising alternative for managing this common pregnancy symptom.

The incidence of labor complications is one of the main challenges in maternal health. With the rapid development of digital technology, many health facilities have begun to integrate digital systems into health services. According to data from the Ministry of Health, the number of labor complications is still high, especially in areas with limited access to quality health facilities. Various factors, such as maternal age, nutritional status, education, and access to health services, contribute to the risk of complications that can endanger the health of mothers and babies.Objective: This study aims to analyze the factors that influence the incidence of childbirth complications in the era of health digitalization.Method: This type of research uses a quantitative approach with the Cross-Sectional Survey method. The population in this study were mothers who gave birth in health facilities in Malang Regency. The research sample was taken using a purposive sampling technique, which included pregnant women with a history of childbirth complications and the use of digital health services in the period 2023-2024. Sample: A total of 50 pregnant women were taken. The results of this study indicate a significant relationship between sociodemographic factors and the incidence of childbirth complications in Malang Regency, with a p value = 0.030 (p <0.05). This finding is in line with various previous studies that identified education, maternal age, age of marriage, and parity as important determinants of the incidence of childbirth complications. These findings confirm that although digital technology is increasingly developing in health services, fundamental factors such as maternal sociodemographic characteristics remain important determinants of the incidence of childbirth complications.

Posyandu is a community-based health program managed by and for the community, aiming to strengthen local health systems and facilitate access to essential health services. The temporary disruption of Posyandu services during the COVID-19 pandemic has had adverse effects on vulnerable populations such as pregnant women and toddlers, highlighting the importance of resilient volunteer performance post-pandemic. This study aims to examine the correlation between post-pandemic competence and the implementation of the five main activities by Posyandu volunteers in Malang, Indonesia. Utilizing a quantitative correlational research design, the study involved a total sample of 123 Posyandu volunteers from two villages in Malang. Data collection was conducted over July to August 2023. The findings indicate a statistically significant but weak positive correlation between volunteer knowledge and motivation, with a p-value of 0.007 and a correlation coefficient of 0.242. This suggests that while increased knowledge is associated with higher motivation levels, the strength of this relationship is limited. Further analysis assessed the relationship between length of service and volunteer motivation, revealing no significant correlation (p = 0.675, r = -0.038). These results imply that the duration of volunteer service does not influence motivational levels among Posyandu volunteers. Given these findings, enhancing volunteers’ knowledge through regular training and refresher programs is essential to maintain motivation and improve service delivery. The study recommends continuous capacity-building efforts to empower Posyandu volunteers, thereby ensuring effective implementation of health activities post-pandemic. Future research should investigate additional factors that may affect volunteer motivation, such as social support, recognition, and workload. Understanding these dimensions can further strengthen Posyandu programs and support the vulnerable community members they serve.

Picky eating is a prevalent issue among preschool children, often leading to nutritional deficiencies, disrupted growth, and increased parental stress. This systematic literature review aims to explore the management of picky eating through complementary and alternative therapies (CAT) and compares these findings with contemporary interventions. Picky eating behaviors can significantly affect children’s eating patterns, leading to challenges in maintaining a balanced diet. Although traditional medical interventions focus on behavioral modification and nutritional counseling, many parents are seeking alternative approaches to manage these behaviors in a more holistic and natural manner. This review encompasses studies published between 2015 and 2025, sourced from PubMed, Scopus, and Google Scholar, using keywords such as "Alternative Therapy," "Picky Eating," and "Preschool Children." The review population consists of 20 articles, and the sample includes 5 selected studies that meet the criteria for evaluating the effectiveness of complementary and alternative therapies in managing picky eating behaviors. Data analysis utilized thematic analysis, with the findings analyzed thematically to draw conclusions regarding the efficacy of CAT. The results indicated that mindfulness practices, dietary practices, Tuina massage as a traditional therapy, taste exposure, sensory learning, and nutrition education were all effective in reducing picky eating behavior among children aged 1 to 5 years. These approaches not only helped to improve children’s acceptance of a wider variety of foods but also contributed to the reduction of stress for both children and parents. The findings suggest that integrating these alternative therapies into conventional practices can provide a comprehensive and effective strategy to address picky eating in preschool children. Future research is needed to further explore the long-term impacts of these therapies and to identify the most suitable combinations for different individual needs.

This study presents a cross-national analysis of adolescent mental health and academic stress to explore their interrelations and broader implications for global educational policies. Using data from Bangladesh, Gambia, and Indonesia, the research examines how academic expectations, pressure to perform, and school environments affect students' psychological well-being in diverse cultural, educational, and socioeconomic contexts. The study identifies significant patterns and disparities in mental health outcomes, revealing that stress levels and psychological challenges vary significantly between countries. In Bangladesh, medical students face a critical mental health burden, with high levels of anxiety, stress, digital addiction, and sleep deprivation being common issues. This situation underscores the pressing need for mental health interventions in the education sector, particularly within high-pressure fields such as medical studies. Conversely, in Gambia, there has been a notable increase in inpatient mental health admissions, suggesting a growing awareness of mental health issues and improved access to institutional care. However, the decline in community-based mental health services presents a critical challenge, as these services are essential for sustainable mental health support outside of hospital settings. In Indonesia, while academic stress is prevalent, the focus has been on improving institutional care and psychological support for students, yet there remains a gap in addressing stressors within the school environment. This study emphasizes the urgent need for inclusive, student-centered educational reforms that prioritize mental health support systems and advocate for the integration of mental health services into educational settings. The findings suggest that global educational policies must consider these country-specific challenges and trends in order to create more balanced academic environments that foster both mental well-being and academic success

Attendance management is an essential component in educational institutions, companies, and organizations to monitor the presence and punctuality of participants. Traditional attendance systems, such as manual signatures or identification cards, are prone to various issues including human error, time inefficiency, and identity fraud. To address these challenges, this study aims to develop a smart attendance system using facial recognition technology based on Python and the OpenCV library. The system is designed to automatically detect and recognize faces in real time using a webcam or camera module. It employs computer vision techniques to capture facial images, extract unique features, and match them against a stored database of registered participants. Once the face is verified, the system records the attendance along with a timestamp, ensuring data accuracy and security. The development process involved several stages, including image acquisition, preprocessing, feature extraction, and classification. OpenCV was utilized for image processing tasks, while Python provided the programming framework to integrate all components. To enhance recognition accuracy, the system applied techniques such as histogram equalization for lighting normalization and Haar Cascade classifiers for initial face detection. An experimental evaluation was conducted under various conditions, including different lighting environments and facial orientations. The results demonstrated that the system achieved an accuracy rate of 96% under normal lighting conditions, with only a small decrease in performance under dim or uneven lighting. These findings indicate that the system is reliable for practical applications, especially in controlled environments. Conclusion: The Python-based facial recognition attendance system offers a more efficient, secure, and accurate alternative to conventional attendance methods. Future improvements may include the integration of deep learning models to enhance recognition robustness in diverse real-world scenarios.

Posyandu is a community-based health program managed by and for the community, aiming to strengthen local health systems and facilitate access to essential health services. The temporary disruption of Posyandu services during the COVID-19 pandemic has had adverse effects on vulnerable populations such as pregnant women and toddlers, highlighting the importance of resilient volunteer performance post-pandemic. This study aims to examine the correlation between post-pandemic competence and the implementation of the five main activities by Posyandu volunteers in Malang, Indonesia. Utilizing a quantitative correlational research design, the study involved a total sample of 123 Posyandu volunteers from two villages in Malang. Data collection was conducted over July to August 2023. The findings indicate a statistically significant but weak positive correlation between volunteer knowledge and motivation, with a p-value of 0.007 and a correlation coefficient of 0.242. This suggests that while increased knowledge is associated with higher motivation levels, the strength of this relationship is limited. Further analysis assessed the relationship between length of service and volunteer motivation, revealing no significant correlation (p = 0.675, r = -0.038). These results imply that the duration of volunteer service does not influence motivational levels among Posyandu volunteers. Given these findings, enhancing volunteers’ knowledge through regular training and refresher programs is essential to maintain motivation and improve service delivery. The study recommends continuous capacity-building efforts to empower Posyandu volunteers, thereby ensuring effective implementation of health activities post-pandemic. Future research should investigate additional factors that may affect volunteer motivation, such as social support, recognition, and workload. Understanding these dimensions can further strengthen Posyandu programs and support the vulnerable community members they serve.