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Colorectal cancer and paralytic ileus are significant health concerns worldwide, including in Indonesia, where their prevalence and mortality rates have shown concerning trends. This study aims to compare the prevalence and mortality of paralytic ileus and colorectal cancer in Indonesia using data from the Global Burden of Disease (GBD) for the years 2019, 2021, and 2023. A secondary data analysis was conducted using GBD 2023 data, focusing on prevalence, incidence, and mortality rates for both conditions across 34 provinces in Indonesia. The study employed a time-trend analysis to observe the changes in disease burden over the specified years, along with examining the differences in disease characteristics based on sex, age groups, and regions. Results indicated that colorectal cancer has a higher burden of disease, with significantly higher prevalence and mortality rates compared to paralytic ileus. This highlights the urgent need for enhanced prevention, early detection, and management strategies for colorectal cancer in Indonesia. The findings emphasize the importance of integrated healthcare policies to address both conditions effectively, focusing on regions with the highest disease burden. Further research is recommended to explore the underlying risk factors and to evaluate the effectiveness of current healthcare interventions.

Background: Low birth weight (LBW) remains a major public health concern worldwide due to its significant contribution to neonatal morbidity and mortality, as well as its long-term adverse health consequences. Pregnancy intention has been identified as a potential determinant of adverse birth outcomes; however, evidence regarding its association with LBW remains inconsistent. This study aimed to examine the association between pregnancy intention and low birth weight in Indonesia using data from the 2012 Indonesian Demographic and Health Survey (IDHS). A cross-sectional study was conducted using secondary data from the 2012 IDHS. The study included 8,922 married women aged 15–49 years who had a singleton live birth within five years preceding the survey. Pregnancy intention was categorized as intended, mistimed, and unwanted. Multivariable logistic regression analysis was performed to assess the association between pregnancy intention and LBW after controlling for potential confounding variables. The prevalence of LBW was 6.2%. After adjustment for maternal age and antenatal care (ANC) visits, no significant association was found between mistimed pregnancy and LBW (AOR = 1.055; 95% CI: 0.765–1.454). An interaction effect was identified between unwanted pregnancy and pregnancy complications. Women with unwanted pregnancies accompanied by pregnancy complications had a higher risk of delivering LBW infants compared with women whose pregnancies were intended and without complications. Nevertheless, pregnancy intention was not significantly associated with LBW overall after adjustment for confounding factors. Maternal age outside the optimal reproductive age range (<20 years or >35 years) and inadequate ANC utilization were significantly associated with an increased risk of LBW. Pregnancy intention was not independently associated with low birth weight among Indonesian women after controlling for maternal and healthcare-related factors. Maternal age and antenatal care utilization were more consistent determinants of LBW. Strengthening maternal health services, particularly adequate antenatal care and early detection of pregnancy complications, may contribute to reducing the burden of low birth weight in Indonesia.

Corruption committed by the leader of an independent state oversight institution represents a paradox that fundamentally undermines the legitimacy of government governance. This study examines the case of Hery Susanto, Chairman of the Ombudsman of the Republic of Indonesia, who was designated as a corruption suspect by the Attorney General's Office on April 16, 2026—merely six days after his inauguration—in connection with alleged bribery of Rp1.5 billion from PT Toshida Sulawesi Hijau Indonesia involving the management of Non-Tax State Revenue (PNBP) in the nickel mining sector for the period 2013–2025. This study aims to analyze the manifestation of the three elements of the Fraud Triangle—pressure, opportunity, and rationalization—within this case, and to formulate systemic implications for corruption prevention in independent state institutions. Employing a normative-empirical legal research approach with a case study method, data were collected through documentation and qualitative content analysis of legal documents, official press releases from the Attorney General's Office, and verified media reports. The findings reveal that pressure stemmed from financial motivation and career ambition; opportunity arose from weak internal oversight mechanisms, the perpetrator's strategic position, and regulatory gaps in Law Number 37 of 2008; while rationalization manifested through cognitive justification that framed the receipt of compensation as a reasonable reward for services rendered. This study contributes to the literature on forensic accounting and corruption criminology, while recommending the establishment of an independent Ombudsman Supervisory Board and the strengthening of a digital-based early detection system.

The Free Health Check-up (CKG) is a government program designed to strengthen promotive and preventive health efforts through the early detection of risk factors, pre-disease conditions, and diseases across the community according to the life-cycle approach. As a relatively new initiative, the implementation of the CKG program in primary healthcare settings still requires further evaluation to assess implementation readiness, digital support systems, and community participation. This literature review aimed to examine the implementation of the Free Health Check-up Program in primary healthcare services. Relevant literature was retrieved from the Google Scholar database using the keyword "implementation of the free health check-up program" and was limited to open-access, full-text articles published between 2025 and 2026. The search identified eight eligible articles, which were extracted and analyzed in this review. The synthesis revealed three major themes in the implementation of the CKG program: (1) primary healthcare service readiness, (2) digitalization and reporting systems, and (3) community participation and communication strategies. Primary healthcare readiness includes the availability of human resources, infrastructure, medical equipment, consumable medical supplies, funding, service workflows, and cross-sectoral coordination. Digitalization through the SATUSEHATplatform and integrated reporting systems has the potential to improve service efficiency; however, challenges remain regarding digital literacy, internet connectivity, and the technical capacity of healthcare personnel. Community participation is influenced by knowledge, attitudes, the roles of community health volunteers, teachers, healthcare workers, and communication strategies tailored to the characteristics of the target population. The successful implementation of the CKG program requires strengthening primary healthcare systems, optimizing digital health platforms, and adopting community-based communication strategies to ensure the program is more effective, inclusive, and sustainable.

Background:Tuberculosis remains a serious public health challenge in Indonesia, including in Pekalongan City, which sees an annual increase in cases. The still high number of TB cases and deaths each year indicates that the program being implemented is not yet fully effective, therefore requiring active community involvement, increased capacity of health workers, and closer cross-sector integration. Aims: This activity aims to provide comprehensive community nursing care through a promotive and preventive approach, with an emphasis on identifying risky behaviors, knowledge deficits, and non-adherence to TB treatment. Method: The methods used included community assessment, establishing a community nursing diagnosis, planning education-based interventions, implementing outreach and simulation activities, and evaluating outcomes. Results: The results of the activity indicated that most people have limited knowledge about TB prevention, and that risky behaviors and non-adherence to therapy persist. Interventions, including group outreach, interactive discussions, and education on the importance of medication adherence, demonstrated increased knowledge and healthier behavior changes. Conclution: The conclusion of this activity emphasized the importance of the active role of community nurses in reducing TB transmission rates through educational approaches, active surveillance, and cross-sector collaboration. Recommendations focused on strengthening ongoing education and the involvement of families and community health workers in early detection and monitoring of TB patient therapy.

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

Anxiety during pregnancy is one of the most common psychological problems experienced by pregnant women, particularly during the third trimester when they face childbirth preparation as well as various physical and emotional changes. If not properly managed, anxiety may adversely affect both maternal and fetal health. This study aimed to describe the level of anxiety among third-trimester pregnant women at Mlati II Public Health Center in 2026. This research employed a descriptive quantitative design with a cross-sectional approach. The study involved 40 third-trimester pregnant women selected using a total sampling technique. Data were collected using the Hamilton Anxiety Rating Scale (HARS) questionnaire and analyzed through univariate analysis in the form of frequency and percentage distributions. The results showed that most respondents were of healthy reproductive age (20–35 years) (92.5%), primigravida (67.5%), had a secondary level of education (70%), and were unemployed (70%). The respondents' anxiety levels were categorized as no anxiety (47.5%), mild anxiety (47.5%), and moderate anxiety (5%), while no cases of severe anxiety or panic were identified. The most dominant anxiety indicators were anxious feelings, tension, respiratory symptoms, and sleep disturbances. These findings indicate that some third-trimester pregnant women still experience anxiety, highlighting the need for early detection, health education, and psychological support through antenatal care services to promote maternal mental well-being during pregnancy.

Background: Stunting remains one of the public health problems that requires early prevention through health education and growth monitoring in children under five years old. Lack of parental knowledge regarding balanced nutrition, child feeding practices, hygiene, and routine physical examination can increase the risk of growth disorders in toddlers. Purpose: Physical examination in toddlers is important to identify early signs of growth and developmental problems, including body weight, height or length, nutritional status, and general physical condition. Method: This community service activity was conducted face-to-face using health education, discussion, and direct physical examination methods. The stages of activity included preparation, delivery of educational materials about stunting, physical examination of toddlers, recording the results, and providing simple counseling to parents. Results: The activity showed that mothers were enthusiastic in participating in counseling and toddler physical examination. Before the education was given, several mothers still had limited understanding about the causes, impacts, and prevention of stunting. After the activity, mothers began to understand the importance of balanced nutrition, routine weighing, height measurement, immunization, hygiene, and regular visits to posyandu or health facilities. Conclusion: Education about stunting and physical examination of toddlers can increase parental awareness regarding early prevention of growth disorders. This activity is useful in encouraging families to monitor toddler growth regularly and implement healthy childcare practices.

Preeclampsia is one of the leading causes of maternal mortality and may result in various complications during pregnancy and childbirth. In Tegal Regency, preeclampsia contributed to 27% of maternal deaths in 2024; therefore, studies on childbirth characteristics among mothers with this condition are needed. This study aimed to identify the characteristics of childbirth events in mothers with preeclampsia at Dr. Soeselo Slawi Regional Hospital, Tegal Regency. A descriptive design with a retrospective approach was used by reviewing the medical records of 202 mothers who delivered with preeclampsia during 2025. Data were analyzed univariately and presented as frequency distributions and percentages. The results showed that most mothers underwent operative delivery (62.38%), while spontaneous and induced labor accounted for 37.13% and 0.50%, respectively. Most deliveries occurred at preterm gestational age (62.38%), followed by term (36.14%) and postterm (1.49%) deliveries. Maternal and obstetric complications included bleeding (6.93%), fetal distress (4.95%), eclampsia (1.49%), and HELLP syndrome (0.99%). Most neonates had normal birth weight (82.18%) and did not require NICU care (95.05%), although low birth weight (17.82%) and NICU admission (4.95%) were still identified. The maternal clinical condition was dominated by blood pressure of 140–159/90–109 mmHg (75.74%). Proteinuria was found in 46.53% of respondents, with moderate proteinuria (+2) as the predominant category (38.30%). In conclusion, childbirth among mothers with preeclampsia was dominated by operative and preterm deliveries. These findings emphasize the importance of early detection and optimal management of preeclampsia to reduce maternal and neonatal complications and improve the quality of maternal-infant health services overall.

Preeclampsia is a pregnancy complication that significantly contributes to maternal and neonatal morbidity and mortality worldwide. Globally, it affects approximately 3–8% of pregnancies and causes more than 70,000 maternal deaths each year. In Indonesia, preeclampsia accounts for around 30% of the 4,151 maternal deaths reported in 2024. In Padang City, there were 254 cases in 2023 and 129 cases in 2024, with Puskesmas Bungus having the highest prevalence (7.2% and 3.77%). This study aimed to analyze the association between body mass index (BMI), history of hypertension, and history of preeclampsia with the incidence of preeclampsia among pregnant women at Puskesmas Bungus, Padang. This study used a quantitative case-control design involving 50 cases and 50 controls. Data were analyzed using chi-square and logistic regression tests. The results showed significant associations between obesity (p=0.031; OR=2.897), history of preeclampsia (p=0.006; OR=13.821), and history of hypertension (p=0.002; OR=17.216) with the incidence of preeclampsia. Multivariate analysis identified history of hypertension as the most dominant factor associated with preeclampsia. This study concludes that obesity, history of hypertension, and history of preeclampsia are significant risk factors for preeclampsia among pregnant women. Strengthening early detection and routine antenatal care for high-risk pregnancies is necessary to reduce maternal complications associated with preeclampsia.

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. .

Maternal hypertension remains one of the major contributors to maternal morbidity and mortality in Indonesia and globally. This study aimed to analyze the prevalence, mortality trends, and geographical disparities of maternal hypertension in Indonesia during the 2022–2023 period. The research employed a descriptive design using secondary data obtained from official reports of the Indonesian Ministry of Health, national health surveys, and Maternal Perinatal Death Notification (MPDN) data. Data analysis was conducted descriptively by examining prevalence rates, maternal mortality due to hypertension, regional distribution, and temporal trends across provinces in Indonesia. The findings showed a slight but consistent decline in both the prevalence and mortality rates of maternal hypertension from 2022 to 2023 in most provinces. However, significant regional disparities remained evident. Provinces in eastern Indonesia, including Papua Barat, Nusa Tenggara Timur, Maluku, and several provinces in Sulawesi and Kalimantan, consistently recorded higher prevalence and mortality rates compared to provinces in Java and Bali. Meanwhile, provinces with better healthcare infrastructure and maternal referral systems demonstrated lower mortality outcomes. The study also revealed a strong association between high prevalence and increased maternal mortality, indicating the importance of healthcare accessibility, antenatal care quality, and emergency obstetric services in reducing maternal health burdens. These findings emphasize the need for region-specific maternal health interventions, improved healthcare distribution, early detection programs, and strengthened referral systems to reduce maternal hypertension disparities and improve maternal health outcomes in Indonesia.

Iron deficiency anemia (IDA) is a condition of insufficient iron that lowers hemoglobin levels and disrupts erythrocyte formation. This condition commonly occurs in children and can weaken the immune system, thereby increasing the risk of recurrent respiratory tract infections such as bronchiolitis, pneumonia, and Acute Respiratory Tract Infections (ARTI). Children with IDA are also at risk of worsening clinical conditions. This study employed a literature review method with a descriptive-analytical approach. A total of 10 journals (2020–2026) from Google Scholar, PubMed, ResearchGate, Elsevier, and the National Center for Biotechnology Information (NCBI) were analyzed using the Population, Intervention, Comparison, Outcome, Study Design (PICOS) framework and synthesized narratively. The results of the review indicate that iron deficiency anemia is significantly associated with an increased risk of recurrent respiratory tract infections in children. Children with IDA have a 2–5 times higher risk of developing bronchiolitis and pneumonia, and up to 10 times greater susceptibility to recurrent ARTI. This condition is also associated with increased disease severity, characterized by low hemoglobin levels, mean corpuscular volume (MCV), and serum iron, as well as elevated total iron-binding capacity (TIBC). Iron supplementation has been proven effective in reducing the incidence of recurrent infections. In conclusion, iron deficiency anemia is associated with an increased risk and severity of recurrent respiratory tract infections in children. Early detection and iron supplementation are essential to reduce morbidity and prevent infection recurrence.

The increase in activity and security threats on Ubuntu server causes the volume of system logs to become very large and difficult to analyze manually. This condition potentially leads administrators to experience delays in detecting abnormal activities, such as repeated login attempts and web access patterns related to online gambling promotions. Therefore, this research aims to develop a machine learning-based Early Warning System capable of automatically detecting anomalous activities. The system is developed using the Python programming language and runs on an Ubuntu server by utilizing authentication logs and web access logs as the main data sources. The anomaly detection model is trained using normal activity data collected directly from the Ubuntu server logs to learn standard system behavior patterns. During the operational phase, the system reads server logs in real-time, extracts activity features, and analyzes them using the Isolation Forest algorithm. Activities detected as anomalies trigger alert notifications via Telegram to the administrator without performing automatic blocking. The results show that the system is able to provide early warnings for suspicious activities, thereby helping to improve server security more effectively.

 Education in vocational high schools (SMKs) requires effective data management to improve students’ academic achievement and discipline. At SMK Islam Secang, students’ academic scores and attendance data have so far functioned merely as administrative archives, making it difficult to identify patterns of student performance. This study aims to classify students based on academic achievement and discipline by applying the K-Means Clustering algorithm using RapidMiner. The data used in this study consist of scores from six subjects and attendance records of 35 students from the Light Vehicle Engineering (TKR) department over two semesters. The data were obtained from original school records, compiled using Microsoft Excel, and processed in RapidMiner. The clustering process employed four clusters for academic achievement and two clusters for discipline, with Euclidean Distance used as the similarity measure. The results show that in the first semester, students were grouped into four academic achievement clusters: high achievement (6 students), moderate achievement (7 students), potentially problematic (14 students), and problematic (8 students). In the second semester, the distribution changed to high achievement (19 students), moderate achievement (14 students), potentially problematic (4 students), and problematic (1 student). Meanwhile, student discipline was divided into two clusters: disciplined (31 students) and undisciplined (4 students). These results demonstrate that K-Means Clustering is effective in mapping student conditions, revealing patterns in academic performance and attendance, and supporting educational evaluation, learning planning, and early detection of students who require academic or disciplinary intervention. Keywords: Data Mining, K-Means Clustering, Academic Achievement, Discipline, RapidMiner, Vocational High School (SMK)

Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

This study analyzed trends in the prevalence, incidence, and burden of Diabetes Mellitus in Indonesia from 2021 to 2023 and identified geographic disparities across provinces. A descriptive-analytical approach was applied using standardized Global Burden of Disease data to assess changes in prevalence and disease impact measured by Disability-Adjusted Life Years. The results indicated a consistent increase in the prevalence of Diabetes Mellitus over the study period, with substantial variation between provinces. Regions with higher prevalence experienced a greater disease burden compared to low-prevalence areas, although a gradual decline in Disability-Adjusted Life Years was observed. These findings suggested improvements in disease management and complication prevention, while inequalities in health service access and socioeconomic conditions continued to influence regional differences. This study concluded that Diabetes Mellitus remained a major public health challenge in Indonesia and required more targeted, region-specific control policies emphasizing prevention, early detection, and strengthening of primary health care services to reduce disparities and future disease burden.

Down syndrome, or Trisomy 21, is the most common chromosomal disorder in humans and is primarily caused by nondisjunction events during meiosis. Although advanced maternal age has long been recognized as the major risk factor, recent scientific evidence indicates that genetic mutations, gene polymorphisms, and meiotic recombination abnormalities also play important roles in the occurrence of Trisomy 21. This literature review aims to analyze the role of genetic mutations in the pathogenesis of Trisomy 21, with emphasis on the mechanisms of nondisjunction, oocyte aging, meiotic recombination errors, and folate metabolism disorders. The method used was a narrative literature review based on seven major scientific sources discussing the genetic and molecular factors underlying Trisomy 21. The findings indicate that genetic mutations and variations affecting meiotic regulation, recombination positioning, chromosome cohesion, and DNA methylation significantly increase the risk of chromosome 21 nondisjunction. In addition, age-related decline in oocyte quality and polymorphisms in folate metabolism genes further exacerbate chromosomal instability. Understanding these mechanisms is essential for the development of genetic counseling, early detection, and more effective prevention and management strategies in the future.  

Reproductive health is an aspect of health that still requires serious attention, particularly for women of reproductive age. Polycystic Ovary Syndrome (PCOS) is a hormonal disorder with a prevalence of 3.4% among women worldwide, yet it often goes undetected due to a lack of awareness. This community service activity aims to increase the knowledge of women of reproductive age regarding menstruation, PCOS, and the importance of early detection through an educational webinar titled “Hormone Talk: Exploring Menstruation, PCOS, and the Importance of Early Detection.” The event was held online via the Zoom Meeting platform on December 13, 2025, and was attended by over 100 participants, the majority of whom were female students. The evaluation method utilized pre-tests and post-tests analyzed using a Dependent T-test. The results showed a significant increase in the average knowledge score from 64.78 (pre-test) to 79.67 (post-test), with a difference of 14.89 points and a p-value of 0.000. This demonstrates that reproductive health educational webinars are effective in enhancing participants’ knowledge. It is hoped that this activity can serve as a model for sustainable digital-based health promotion interventions in efforts to improve reproductive health literacy among Indonesian women.