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The rapid advancement of Internet of Things (IoT) technologies has transformed conventional residential environments into intelligent smart housing systems capable of enhancing energy efficiency, security, comfort, healthcare services, and environmental sustainability. However, existing studies remain fragmented, focusing on specific technologies or applications rather than providing a comprehensive understanding of the smart housing ecosystem. Therefore, this study aims to systematically review the major technologies employed in IoT-based smart housing systems, examine their contributions to residential benefits, and identify the challenges and future opportunities associated with their implementation. This research adopted a Systematic Literature Review (SLR) approach using the Scopus database as the primary source of literature. The review process followed a structured screening and selection procedure, resulting in the inclusion of 26 studies that met the predefined eligibility criteria. The findings indicate that Artificial Intelligence, Blockchain, Edge Computing, Fog Computing, Cloud Computing, Digital Twin, Smart Grid technologies, renewable energy systems, and advanced sensor infrastructures constitute the primary technological foundations of modern smart housing systems. The reviewed studies indicate that these technologies contribute to energy optimization, cybersecurity enhancement, intelligent automation, healthcare monitoring, safety improvement, and sustainable resource management. However, challenges related to security, privacy, interoperability, scalability, computational complexity, and implementation costs remain important barriers to widespread adoption. In conclusion, IoT-based smart housing systems have evolved into integrated and intelligent residential ecosystems, and future development is expected to be driven by the convergence of Artificial Intelligence, distributed computing, Digital Twin technologies, and sustainable smart infrastructure solutions.  

Hypertension is one of the leading non-communicable diseases contributing significantly to cardiovascular morbidity and mortality worldwide. Despite the availability of extensive electronic medical record data in healthcare institutions, these data are often utilized only for administrative reporting rather than predictive analysis. Consequently, opportunities to identify age groups with a higher probability of developing hypertension remain underutilized. This study aims to implement the Naïve Bayes classification algorithm to analyze age distribution and classify the risk of hypertension among patients using healthcare data. The research adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Patient medical record data consisting of demographic and clinical attributes, including age, systolic blood pressure, diastolic blood pressure, body weight, gender, and hypertension status, were processed using the Naïve Bayes algorithm. Model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, specificity, and balanced accuracy. The implementation demonstrates that the Naïve Bayes algorithm is capable of classifying hypertension risk efficiently while providing probabilistic information regarding age groups with a higher tendency to experience hypertension. The resulting classification model offers an effective decision-support tool for healthcare providers in conducting targeted screening, preventive interventions, and evidence-based health planning. The findings also indicate that data mining techniques can transform routinely collected medical records into valuable clinical knowledge for early hypertension prevention and healthcare decision-making.

Background: Cesarean section (CS) is a mode of delivery frequently used in women with high-risk pregnancies. Over the past two decades, the rate of CS has increased significantly worldwide. Although CS can be a life-saving intervention when performed based on appropriate medical indications, it may also result in adverse outcomes for both mothers and infants and increase the clinical and economic burden on healthcare systems. Limiting CS rates can be achieved through the control of modifiable risk factors. Purpose: This study aimed to describe the factors contributing to the occurrence of cesarean section. Method: This study employed a descriptive cross-sectional design and was conducted at Singasana Regional General Hospital, Tabanan Regency, from February to May 2025. The study sample consisted of 259 women who underwent cesarean delivery during the period 2020–2024. Data were collected through a review of medical records using a checklist instrument. Univariate analysis was performed to describe maternal characteristics and indications for cesarean section. Result: Most cesarean deliveries occurred in women aged 20–35 years (77.99%) and in multiparous women (48.65%). The most dominant maternal factor was a previous cesarean section (37.6%), while the most common fetal factor was fetal distress (42.7%). Conclusion: Maternal age of 20–35 years, multiparity, a history of previous cesarean section, and fetal distress were the dominant factors associated with cesarean delivery. These findings highlight the importance of early antenatal risk screening and optimal labor management to reduce unnecessary cesarean sections and improve maternal and neonatal safety.

Stunting is a multifactorial public health problem influenced by various risk factors that may emerge during the prenatal period. Early identification of stunting risk during pregnancy is important to support preventive interventions. This study aimed to develop a stunting risk prediction model based on maternal prenatal factors using the Random Forest algorithm. Secondary data from 172 pregnant women, consisting of 83 stunting cases and 89 non-stunting cases, were analyzed. The predictor variables included maternal age during pregnancy, height, hemoglobin level, mid-upper arm circumference (MUAC), smoking history, hypertension, asthma, and diabetes mellitus. The research stages consisted of data preprocessing, model training using Stratified 5-Fold Cross Validation, performance evaluation, external testing, and feature importance analysis. Internal evaluation results showed an accuracy of 60%, precision of 60.6%, recall of 57.3%, F1-score of 58.9%, and AUC of 0.6688. External testing yielded an accuracy of 70% and an AUC of 0.6167. Feature importance analysis identified maternal age during pregnancy as the most influential variable in the prediction process. The findings indicate that maternal prenatal factors have potential for early stunting risk identification, although the predictive performance remains moderate. This approach may serve as a foundation for developing early screening tools to support targeted interventions among high-risk pregnancies.

Agentic artificial intelligence (AI) systems capable of autonomous goal-directed behavior, multi-step planning, tool use, multi-agent coordination, and iterative self-correction represent a transition from passive clinical AI tools toward systems that can participate in complex healthcare workflows. However, empirical evidence remains fragmented across clinical decision support, patient monitoring, and administrative applications, and no systematic synthesis has evaluated which agentic principles have been technically demonstrated and which have accumulated sufficient evidence to support responsible clinical deployment. We conducted a PRISMA-informed systematic review of peer-reviewed empirical studies published between January 2025 and April 2026. Searches across five bibliographic databases and Google Scholar, supplemented by citation tracking, identified 443 unique records for screening, of which 25 met the predefined PICOS and quality appraisal criteria. Evidence was synthesized using an evidence-informed seven-principle framework derived from the integration of agentic AI, clinical AI, and healthcare governance literature. This framework provides a structured lens for examining how agentic principles are evaluated individually and in combination, enabling a deployment-readiness perspective that extends beyond capability-focused assessments alone. The evidence base was concentrated on technical capability principles, whereas human oversight, safety, compliance, and equity-related evaluation received comparatively limited attention. Most studies remained at the laboratory, benchmark, or proof-of-concept stage, and none reported demographic-stratified performance outcomes. Overall, the findings suggest a structural asymmetry in agentic healthcare AI: empirical research is advancing agentic capabilities more rapidly than it is generating evidence for the oversight, safety, equity, and governance mechanisms required for responsible clinical translation.

Non-Communicable Diseases (NCDs) such as Diabetes Mellitus and Gout pose a serious threat to the health of the elderly due to their often asymptomatic nature. Cost barriers hinder the elderly community from accessing laboratory services. This community service activity aims to improve health standards and early detection of NCDs through monitoring blood glucose and uric acid levels in the Generasi Kaleb community of the JKI Injil Kerajaan Church, Semarang. The Participatory Health Screening and Education method used includes health education, screening using the Point of Care Testing (POCT) tool, and personal consultation on the results. The service subjects were 50 elderly respondents. The examination results showed a prevalence of abnormal random blood glucose (GDS) of 8%, 32%, had high uric acid levels with a maximum value of 10.3 mg/dL. This activity successfully transformed the elderly's awareness from subjective perception to awareness based on objective data, and encouraged community independence in managing a healthy lifestyle to prevent further NCD complications. .

Dengue fever remains a major global health challenge, particularly in tropical regions, due to the high transmission of Dengue virus by Aedes aegypti and the limited sustainability of current control strategies. Artocarpus odoratissimus, an endemic Bornean plant, contains diverse secondary metabolites with potential pharmacological activities; however, a systematic synthesis of its biomedical relevance to Dengue is still lacking. This study aimed to systematically evaluate the biomedical potential of A. odoratissimus in Dengue prevention and control through a systematic literature review. This study employed a systematic literature review method following the PRISMA 2020 guidelines. Literature searches were conducted in Scopus, ScienceDirect, SpringerLink, PubMed, Google Scholar, Garuda, SINTA, and other relevant scientific databases for publications from January 2016 to February 2026. A total of 303 records were identified, and after duplicate removal, title and abstract screening, and full-text eligibility assessment, 23 studies were included for narrative synthesis. The findings revealed that A. odoratissimus contains major bioactive compounds, including flavonoids, phenolics, arylbenzofurans, stilbenoids, and prenylated chalcones, which demonstrate antioxidant, anti-inflammatory, immunomodulatory, and potential antiviral activities based on in vitro and molecular docking studies. Fruit peel, seeds, and stem bark exhibited the strongest biological evidence, particularly in reducing oxidative stress, inhibiting inflammatory mediators, and potentially interacting with Dengue viral target proteins. Furthermore, several species within the Artocarpus genus showed larvicidal and ovicidal activities against Aedes aegypti, highlighting the potential development of A. odoratissimus as a plant-based biolarvicide candidate.

This community service study documents and analyzes a blood glucose screening program conducted by theology students of STT Kadesi–Bogor at the Pentecostal Church (Gereja Pantekosta Jakarta/GPJ) in West Jakarta from February to April 2026. A total of 80 examinations were performed over three consecutive months using the Accu-Check glucometer. Results revealed that 1 participant (1.25%) was classified as diabetic (random blood glucose/RBG ≥200 mg/dL) and 19 participants (23.75%) were classified as pre-diabetic or at elevated risk (RBG 126–199 mg/dL), bringing the total at-risk proportion to 25%. The mean participant age was 52.7 years (range: 21–82 years). Women constituted 78.75% of all participants and accounted for 70% of at-risk cases, while men showed a proportionally higher per-capita risk rate (35.3% vs. 22.2%). Five female participants recorded borderline-low glucose levels (70–75 mg/dL), indicating potential nutritional inadequacy. This study contextualizes its findings within biblical theology—particularly 1 Corinthians 3:16, which declares the human body to be the temple of the Holy Spirit—providing a theological imperative for holistic health stewardship. Practical recommendations include adoption of a balanced diet, engagement in regular physical activity, and periodic blood glucose monitoring as expressions of faithful bodily stewardship.

Dengue fever remains a major global health challenge, particularly in tropical regions, due to the high transmission of Dengue virus by Aedes aegypti and the limited sustainability of current control strategies. Artocarpus odoratissimus, an endemic Bornean plant, contains diverse secondary metabolites with potential pharmacological activities; however, a systematic synthesis of its biomedical relevance to Dengue is still lacking. This study aimed to systematically evaluate the biomedical potential of A. odoratissimus in Dengue prevention and control through a systematic literature review. This study employed a systematic literature review method following the PRISMA 2020 guidelines. Literature searches were conducted in Scopus, ScienceDirect, SpringerLink, PubMed, Google Scholar, Garuda, SINTA, and other relevant scientific databases for publications from January 2016 to February 2026. A total of 303 records were identified, and after duplicate removal, title and abstract screening, and full-text eligibility assessment, 23 studies were included for narrative synthesis. The findings revealed that A. odoratissimus contains major bioactive compounds, including flavonoids, phenolics, arylbenzofurans, stilbenoids, and prenylated chalcones, which demonstrate antioxidant, anti-inflammatory, immunomodulatory, and potential antiviral activities based on in vitro and molecular docking studies. Fruit peel, seeds, and stem bark exhibited the strongest biological evidence, particularly in reducing oxidative stress, inhibiting inflammatory mediators, and potentially interacting with Dengue viral target proteins. Furthermore, several species within the Artocarpus genus showed larvicidal and ovicidal activities against Aedes aegypti, highlighting the potential development of A. odoratissimus as a plant-based biolarvicide candidate.

The modern construction industry confronts complex challenges that require the built environment to transcend mere structural compliance and actively promote psychological well-being, productivity, and human safety. This study explores the integration of color psychology as a fundamental element in the engineering of the built environment through a multidisciplinary approach encompassing Architecture, Civil Engineering (specifically Occupational Health and Safety/OHS), and Mechanical, Electrical, and Plumbing (MEP) engineering. Drawing upon a systematic literature review following the PRISMA guidelines for structured article identification and screening, and conceptual synthesis, the findings indicate that color operates as a crucial neurobiological catalyst. Within architecture, color modulates cognition, emotion, and thermal perception (examining the hue-heat hypothesis and thermal reflectance index). In civil engineering and OHS, standardized color coding elicits heuristic responses for instantaneous hazard mitigation on-site, specifically serving to minimize visual work fatigue. Furthermore, in MEP engineering, color is utilized as an ontological mapping system to navigate critical infrastructure; this is subsequently integrated with Building Information Modeling (BIM) to facilitate spatial conflict resolution. The synergy of these disciplines, further supported by Human-Centric Lighting (HCL), is proposed as a holistic framework for optimizing the building life cycle and ensuring worker safety.

Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in efforts to prevent postpartum depression early. This study aims to analyze the prevention of postpartum depression in postpartum mothers through telenursing-based education and screening using the Edinburgh Postnatal Depression Scale (EPDS) in the community. A descriptive case study design was used, involving one respondent, a 25-year-old primigravida mother residing in the Bantul area. The intervention was implemented online via WhatsApp and video calls, including structured health education on postpartum psychological changes, adaptive coping strategies, and the importance of social support. The intervention also included daily remote monitoring of the respondent's condition via the WhatsApp mobile application. The EPDS was administered as a pre-test and post-test to evaluate changes in the respondent's psychological condition. The findings showed a significant decrease in the EPDS score from 16 (moderate depression) to 6 (minimal depression), indicating significant psychological improvement. These results imply that integrating EPDS screening, structured health education, and daily monitoring is an effective and accessible community-based approach to preventing postpartum depression, particularly for mothers with limited mobility and access to health services.

Chronic Kidney Disease (CKD) represents a significant global health challenge, with a trend of steadily rising prevalence, including in Indonesia. Patients with CKD undergoing routine hemodialysis face multidimensional challenges that impact their quality of life. This literature review aims to outline and synthesize factors associated with the quality of life of CKD patients undergoing hemodialysis in Indonesia. A systematic literature review method using the PRISMA approach was employed, involving searches across Google Scholar, PubMed, Garuda, and DOAJ databases. Inclusion criteria covered articles with a cross-sectional analytical observational design involving patients with advanced-stage CKD undergoing hemodialysis, published within the last ten years, and utilizing valid and reliable quality-of-life instruments (WHOQOL-BREF, KDQOL-SF, KDQOL-36). A total of 21 national and international articles were selected through a systematic process, and their methodological quality was assessed via mapping and scoring stages. The results highlight various aspects consistently and strongly associated with the quality of life of CKD patients, including: (1) clinical factors such as the duration of hemodialysis and comorbidities; (2) psychosocial factors such as anxiety, depression, family support, motivation, and fatigue; and (3) sociodemographic factors such as education level and economic status. Depression emerged as the most dominant predictor with the highest odds ratio (OR=10.131), followed by the duration of hemodialysis (OR=8.380) and comorbidities (OR=5.044). It is concluded that the quality of life of CKD patients is multidimensional and influenced by the interaction of clinical, psychological, and social factors. Integrated interventions—encompassing routine psychological screening, the strengthening of family support, and comorbidity management—are essential to improving the quality of life for CKD patients in Indonesia.

Stunting remains a major public health challenge in Indonesia, requiring systematic early detection and community-based interventions. This community service activity aimed to implement early stunting detection through parental health education and anthropometric measurements of children under five at Posyandu Pasir Putih, Kelurahan Baurung, Kecamatan Banggae Timur, Kabupaten Majene, West Sulawesi. A participatory approach was used, combining interactive health education sessions with standardized anthropometric screening (weight, height/length, mid-upper arm circumference, and head circumference) for 35 toddlers aged 0–59 months. Parental knowledge was assessed using pre-test and post-test questionnaires administered to 38 parents. Results showed a significant increase in parental knowledge, from a mean pre-test score of 52.4 (poor category) to 81.6 (good category) on post-test. Anthropometric assessment revealed that 13 out of 35 toddlers (37.1%) were identified as stunted (25.7% stunted; 11.4% severely stunted). All identified cases were referred to the local health center (Puskesmas) for specific nutritional interventions including supplementary feeding and intensive nutrition counseling. These findings indicate that integrated anthropometric screening combined with targeted parental education is an effective strategy for early stunting identification at the community level. Posyandu plays a crucial role as a platform for translating anthropometric data into meaningful risk communication and promoting sustained community engagement in child growth monitoring

Hypertension is a global health problem that requires ongoing management, one of which is through a low-salt diet. However, many people with hypertension do not adhere to this diet due to a lack of information and understanding of the disease's risks. The Health Belief Model (HBM) can be utilized as a health education method to encourage hypertension management behavior using leaflets. This study aims to analyze the application of the HBM theory in the use of leaflets to increase knowledge about a low-salt diet among hypertensive patients in the community. The method used in this study was a literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines through the steps of identification, screening, eligibility assessment, and selection of articles until 16 articles were obtained that met the inclusion criteria. The results of this study indicate that leaflets are effective in increasing knowledge about a low-salt diet, adherence to health behaviors, and blood pressure control for people with hypertension. The components of the HBM, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action, play a role in shaping risk perceptions and encouraging changes in health behavior. Therefore, leaflets based on HBM are highly recommended as a form of promotional and preventive intervention in nursing practice in the community because they are easy to use, low cost, and support self-management of hypertension.

Hypertension is a global health problem that requires ongoing management, one of which is through a low-salt diet. However, many people with hypertension do not adhere to this diet due to a lack of information and understanding of the disease's risks. The Health Belief Model (HBM) can be utilized as a health education method to encourage hypertension management behavior using leaflets. This study aims to analyze the application of the HBM theory in the use of leaflets to increase knowledge about a low-salt diet among hypertensive patients in the community. The method used in this study was a literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines through the steps of identification, screening, eligibility assessment, and selection of articles until 16 articles were obtained that met the inclusion criteria. The results of this study indicate that leaflets are effective in increasing knowledge about a low-salt diet, adherence to health behaviors, and blood pressure control for people with hypertension. The components of the HBM, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action, play a role in shaping risk perceptions and encouraging changes in health behavior. Therefore, leaflets based on HBM are highly recommended as a form of promotional and preventive intervention in nursing practice in the community because they are easy to use, low cost, and support self-management of hypertension.

School-age children are vulnerable to environmental-based diseases due to suboptimal hygiene practices and inadequate school sanitation. Lack of handwashing habits, maintaining personal hygiene, and choosing safe foods can increase the risk of diarrhea, respiratory infections, worms, and skin diseases. This community service activity aims to increase students' knowledge and awareness regarding clean and healthy living behaviors, personal hygiene, and food hygiene and sanitation. The method used was a one-day counseling through interactive lectures, discussions, educational video screenings, and demonstrations of proper handwashing and tooth-brushing practices. The results of the activity showed an increase in student participation and understanding of the importance of maintaining personal hygiene and the school environment. It was concluded that the counseling was effective in increasing students' knowledge and awareness, so ongoing support is needed so that clean and healthy living behaviors can be implemented consistently at school and at home.

Industrial hygiene management plays a critical role in protecting worker health by controlling exposure to hazardous factors in the workplace. However, many work environments still show suboptimal implementation, leading to increased risks of occupational diseases. This study aims to analyze the implementation of industrial hygiene management systems in improving worker health based on a literature review approach. The method used is a literature review by collecting and analyzing scientific articles from national databases published between 2021 and 2026. A total of ten relevant articles were selected through a systematic screening process based on predefined inclusion criteria. The findings indicate that workplace hazards such as physical, chemical, and ergonomic factors are significantly associated with various health problems, including respiratory disorders, musculoskeletal issues, and work-related fatigue. The implementation of industrial hygiene management systems, including hazard identification, risk control measures, use of personal protective equipment, and environmental monitoring, has been shown to reduce health risks among workers. However, the effectiveness of implementation is influenced by factors such as worker compliance, management commitment, and availability of facilities. These results highlight the importance of a comprehensive and systematic approach to industrial hygiene in maintaining worker health and preventing occupational diseases. Therefore, strengthening the implementation of industrial hygiene management systems is essential to create a safe and healthy working environment and to support sustainable occupational health practices.

Type II Diabetes Mellitus is one of the chronic diseases whose prevalence continues to increase and has become a global health issue. A common complication in patients with Type II Diabetes Mellitus is peripheral circulatory disorders, which can be identified through the Ankle Brachial Index (ABI) examination—a non-invasive method used to detect peripheral artery disease. ABI testing is essential for early detection and prevention of serious complications such as diabetic ulcers.This study aims to describe the Ankle Brachial Index values in patients with Type II Diabetes Mellitus at Santa Elisabeth Hospital Medan in 2025. This research used a descriptive quantitative method with purposive sampling technique. The study sample consisted of 52 respondents from a total population of 109 patients diagnosed with Type II Diabetes Mellitus. Data collection was conducted through observation sheets and measurement of systolic blood pressure in the upper and lower extremities using a sphygmomanometer and stethoscope. The ABI value was calculated based on the ratio between the highest ankle systolic pressure and the highest brachial systolic pressure. Data were analyzed using tabulation techniques and presented in tables and diagrams. The results showed that the majority of respondents had normal ABI values (>0.90), totaling 33 individuals (63.5%), while 19 individuals (36.5%) experienced abnormal ABI values (≤0.90).Conclusion:The study concludes that most patients with Type II Diabetes Mellitus at Santa Elisabeth Hospital Medan had ABI values within the normal range. However, a considerable proportion with abnormal ABI indicates the necessity of routine ABI screening as a preventive measure against peripheral vascular complications in diabetic patients. This study is expected to serve as a reference in developing nursing interventions aimed at improving the quality of life for patients with Type II Diabetes Mellitus.

Type II Diabetes Mellitus is one of the chronic diseases whose prevalence continues to increase and has become a global health issue. A common complication in patients with Type II Diabetes Mellitus is peripheral circulatory disorders, which can be identified through the Ankle Brachial Index (ABI) examination—a non-invasive method used to detect peripheral artery disease. ABI testing is essential for early detection and prevention of serious complications such as diabetic ulcers.This study aims to describe the Ankle Brachial Index values in patients with Type II Diabetes Mellitus at Santa Elisabeth Hospital Medan in 2025. This research used a descriptive quantitative method with purposive sampling technique. The study sample consisted of 52 respondents from a total population of 109 patients diagnosed with Type II Diabetes Mellitus. Data collection was conducted through observation sheets and measurement of systolic blood pressure in the upper and lower extremities using a sphygmomanometer and stethoscope. The ABI value was calculated based on the ratio between the highest ankle systolic pressure and the highest brachial systolic pressure. Data were analyzed using tabulation techniques and presented in tables and diagrams. The results showed that the majority of respondents had normal ABI values (>0.90), totaling 33 individuals (63.5%), while 19 individuals (36.5%) experienced abnormal ABI values (≤0.90).Conclusion:The study concludes that most patients with Type II Diabetes Mellitus at Santa Elisabeth Hospital Medan had ABI values within the normal range. However, a considerable proportion with abnormal ABI indicates the necessity of routine ABI screening as a preventive measure against peripheral vascular complications in diabetic patients. This study is expected to serve as a reference in developing nursing interventions aimed at improving the quality of life for patients with Type II Diabetes Mellitus.

Background: Pregnancy is a crucial period that requires special attention to the mother's physiological and psychological aspects. Many pregnant women experience poorly understood physical and emotional changes, lack of early detection of high-risk pregnancies, and lack of knowledge about a healthy lifestyle during pregnancy, including physical activity and balanced nutrition. The main problems faced are pregnant women's lack of understanding of normal physiological and psychological changes during pregnancy, lack of knowledge about danger signs and how to detect high-risk pregnancies, low participation of pregnant women in physical activities such as prenatal exercise, lack of knowledge regarding balanced nutrition for pregnant women, and limited comprehensive health education facilities in the community. Objective: This community service activity aims to improve the health of pregnant women by strengthening promotive and preventive pregnancy classes. Methods: This community service activity included screening for high-risk pregnancies, providing materials on physiological and psychological changes in pregnancy, maternal nutrition, and early detection of complications in high-risk pregnancies. A demonstration of prenatal exercise practices was also conducted at the Pondokgebangsari Village Hall, Kuwarasan District, Kebumen Regency. The training, conducted in February 2026, involved 15 pregnant women in their first, second, and third trimesters. Results: This activity demonstrated an increase in mothers' knowledge about physiological, psychological changes, and pregnancy nutrition after education, with 8 receiving good and 7 receiving adequate education. Education on Early Detection and Danger Signs of High-Risk Pregnancy also increased, with 9 receiving good and 6 receiving adequate education. Thus, families are aware of the importance of attending pregnancy classes and see them as essential for a healthy pregnancy. Conclusion: Community service programs to strengthen pregnancy classes through education, high-risk screening, and nutrition counseling support efforts to improve maternal and infant health, and are an investment in the future.