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This study aims to analyze the effect of transformer oil purification on oil breakdown voltage and evaluate its benefits in maintaining transformer performance and reliability. Oil purification is a crucial preventive maintenance step to preserve insulation quality and prevent operational failures caused by reduced dielectric properties. The study was conducted through several stages, including data collection, oil purification, measurement of breakdown voltage before and after purification, and evaluation of results. Data collection involved measuring the oil’s electrical properties according to SPLN 49-1:1982 and observing results using a Break Down Voltage (BDV) test. Purification of a Trafindo 400 kVA transformer was performed through visual inspection, connecting the inlet and outlet hoses to the purification machine, and circulating the oil until the breakdown voltage met the required standards. Results indicated that the oil breakdown voltage before purification was below standard due to reduced insulation quality caused by water contamination, charcoal particles, thermal degradation, and dissolved gases that weakened dielectric properties. Additional factors such as electrical stress, mechanical stress, and excessive loading also contributed to insulation deterioration. After purification, the oil breakdown voltage increased significantly to meet the standard of >30 kV/2.5 mm, demonstrating that purification effectively restores the oil’s insulating capacity and supports optimal transformer performance. Analysis confirms that the transformer oil remains suitable for use, and routine annual purification is recommended to maintain reliability, efficiency, and operational performance. This study highlights oil purification as an effective preventive measure for transformer stability, extending operational life, and reducing the risk of insulation failure. The findings provide valuable guidance for transformer maintenance in the electricity industry, ensuring safe and optimal long-term operation.

Vaginal discharge is a reproductive health problem that commonly occurs in adolescent women and can be influenced by the individual’s level of knowledge and attitude towards intimate organ hygiene. Lack of understanding can increase the risk of pathological vaginal discharge. This study aims to determine the relationship between knowledge and attitudes towards the incidence of vaginal discharge in adolescent women. Based on data obtained from a research study conducted at SMPN 5 Pangkalpinang class VIII in February 2025, 7 out of 10 female students have experienced vaginal discharge. This means that most of the eighth grade female students who have experienced puberty experience whiteness in their lives. This research uses a quantitative design with a cross-sectional approach. The sample consisted of 68 respondents selected using purposive sampling technique. Data was collected through a structured questionnaire which had been tested for validity and reliability. Data analysis was carried out using the Chi-Square test. The research results showed that 57 (83.8%) respondents had experienced vaginal discharge, while the other 11 respondents (16.2%) had never experienced vaginal discharge. In the knowledge variable, 51 (75%) respondents had low knowledge, 13 (19.1%) had sufficient knowledge and the remaining 4 (5.9%) had high knowledge, while for the attitude variable 55 (80.9%) had a negative attitude, 13 (19.1%) other respondents had a positive attitude towards the incidence of vaginal discharge at SMPN 5 Pangkalpinang. The results of this study indicate that there is a significant relationship between knowledge and attitudes towards vaginal discharge with a Sig value of p = .000 < 0.05.It is recommended that the SMPN 5 Pangkalpinang school provide education, promotion or health education about the incidence of vaginal discharge, so that it can improve the health status of teenagers. And for educational institutions to further deepen students’ knowledge of health by increasing knowledge about the incidence of vaginal discharge, especially in adolescents.

Patients admitted to the Intensive Care Unit (ICU) often experience physiological disturbances caused by both medical conditions and intensive treatment procedures. One of the most common problems encountered is sleep disturbance. Several factors contribute to poor sleep quality in ICU patients, including repeated medical procedures, environmental noise from medical equipment and staff activities, discomfort due to body positioning, frequent interactions with health workers, continuous exposure to lighting, pain, and the underlying disease process. Persistent sleep disturbances can delay the healing process, increase blood pressure, and even elevate the risk of stroke. This study aimed to analyze the relationship between anxiety levels and sleep quality in compos mentis patients in the ICU of Sultan Agung Islamic Hospital Semarang. The research design employed a correlational approach with a cross-sectional method. A total of 30 respondents were selected according to the inclusion criteria. Data were collected using the Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality and the Hamilton Anxiety Rating Scale (HARS) to assess anxiety levels. The Chi-Square test was used for statistical analysis. The results showed an equal distribution of male and female respondents (15 each). Ten respondents had a post-laparotomy medical diagnosis, and the majority belonged to the late elderly age group (10 respondents). Most respondents experienced moderate anxiety (18 respondents), while poor sleep quality was reported by 17 respondents. The Chi-Square test revealed a p-value of 0.001, indicating a significant relationship between anxiety levels and sleep quality. In conclusion, higher anxiety levels were associated with poorer sleep quality among compos mentis patients in the ICU. These findings highlight the importance of nursing interventions that address both the physical and psychological aspects of patients to improve sleep quality and support recovery.

Acute myocardial infarction is a leading cause of death both in Indonesia and globally, with incidence rates remaining quite high. This disease is closely associated with various modifiable risk factors, including hypertension, diabetes mellitus, dyslipidemia, obesity, and smoking. Various literature reviews confirm that patients with myocardial infarction often have complex clinical conditions, especially when comorbidities worsen the prognosis and increase the burden on healthcare services. This study reviews the latest national literature on risk factors, clinical profiles, nursing management, prognostic predictors, and non-pharmacological interventions such as relaxation techniques. The analysis demonstrates the need for a comprehensive and integrative approach to the management of myocardial infarction patients. This includes early detection using clinical risk scores, intensive nursing interventions in severe cases such as Killip III NSTEMI, and the use of simple prognostic tools that are easily implemented in healthcare facilities. A supportive approach also plays a crucial role in improving patient comfort and adherence to therapy. The integration of these strategies is expected to improve clinical outcomes, reduce morbidity and mortality, and enhance patients' overall quality of life. This study emphasizes the importance of updating local evidence-based clinical practices tailored to the needs of the Indonesian healthcare system, so that the management of myocardial infarction does not only focus on medical therapy, but also on aspects of prevention, non-pharmacological interventions, and ongoing care.

Improving the quality of public services is one of the key objectives in village governance. To achieve this goal, the implementation of good governance principles is highly relevant, as it ensures that services are delivered in a transparent, accountable, responsive, and citizen-oriented manner. This study aims to analyze the influence of good governance on the quality of public services at the Barangmamase Village Office, Sajanging District, Wajo Regency. The research employed a census method by involving the entire population as the research sample. Data collection techniques included observation, questionnaires, and documentation, while the data analysis technique applied was descriptive analysis to illustrate the actual conditions in the field. The findings indicate that the implementation of good governance, according to respondents, is categorized as good, and the quality of public services is also categorized as good. Furthermore, quantitative analysis shows that good governance has a strong and positive influence on public service delivery. This implies that the better the implementation of good governance principles, the higher the level of public satisfaction with the services provided. The study emphasizes the importance of consistently applying the principles of transparency, accountability, participation, and effectiveness to improve the quality of public services at the village level. These findings are expected to serve as a useful reference for village governments and future researchers in developing further studies on the relationship between governance practices and community satisfaction in the context of public service delivery.

Hypertension, a major risk factor for cardiovascular disease, continues to show increasing prevalence, including in young people. One factor that potentially influences blood pressure is the consumption of monosodium glutamate (MSG), which is often used as a food additive to enhance flavor. Although MSG has long been used in various dishes, recent research suggests that MSG consumption may affect blood pressure through several mechanisms. This study aims to analyze the relationship between MSG consumption patterns and the incidence of hypertension using a narrative review approach. In this study, various scientific journals from 2016 to 2025 that discuss the impact of MSG on blood pressure were analyzed. The analysis results indicate that high and long-term MSG consumption can contribute to increased systolic and diastolic blood pressure. This can occur both directly through increased sodium intake hidden in MSG and indirectly through inflammatory pathways, oxidative stress, metabolic disorders, and changes in the gut microbiota. Several studies have also linked MSG consumption to obesity, which in turn can increase the risk of hypertension. Therefore, uncontrolled MSG consumption may serve as an independent risk factor for hypertension, especially in individuals with cardiovascular susceptibility. In conclusion, it is important to raise public awareness, regulate, and monitor MSG consumption to prevent negative impacts on public health, particularly in clinical practice and public health policy. The increasing prevalence of hypertension, which is increasingly found in young people, is a global health problem that requires serious attention. One factor that is no less important in the development of hypertension is the consumption of food additives, such as monosodium glutamate (MSG).

Patients admitted to the Intensive Care Unit (ICU) frequently experience physiological disturbances that significantly affect their sleep quality. These disturbances are triggered by various factors, including repeated medical procedures, environmental noise, discomfort from medical devices, intensive interactions with healthcare workers, inappropriate lighting that disrupts circadian rhythms, pain, and the underlying disease process. Sleep disturbances in ICU patients may slow down the healing process, elevate blood pressure, trigger metabolic disorders, and increase the risk of serious complications such as stroke. This study aims to examine the relationship between anxiety levels and sleep quality among compos mentis patients in the ICU of Sultan Agung Islamic Hospital, Semarang. The research employed a correlational design with a cross-sectional method. A total of 30 respondents were included based on specific criteria. Anxiety levels were measured using the Hamilton Anxiety Rating Scale (HARS), while sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using the Chi-Square test to determine the relationship between the two variables. The findings showed that the distribution of male and female respondents was balanced (15 respondents each). The most common medical diagnosis was post-laparotomy (10 respondents), with the dominant age category being late elderly (10 respondents). Anxiety levels were predominantly in the moderate category (18 respondents), while the majority of respondents demonstrated poor sleep quality (17 respondents). Statistical analysis revealed a p-value of 0.001, indicating a significant relationship between anxiety levels and sleep quality. In conclusion, the study highlights that higher levels of anxiety are associated with poorer sleep quality among compos mentis patients in the ICU. These findings emphasize the importance of nursing interventions aimed at reducing anxiety to improve patient sleep quality and support recovery.

This study aims to examine the effect of leadership style and workload on employee productivity in the Finance and Risk Management Directorate of PT Pelindo Multi Terminal. The research was conducted from February to July 2025 with 31 employee respondents. The study employed a quantitative approach, collecting data through questionnaires and analyzing it using multiple linear regression. The research sought to understand how leadership style and workload influence the productivity of employees within this specific department. The results indicate that, partially, leadership style and workload have no significant effect on employee productivity, with significance values greater than 0.05. This suggests that individual leadership styles and workloads, when considered separately, may not have a strong direct impact on productivity. However, when analyzed simultaneously, both variables significantly influence employee productivity, with a significance value of less than 0.05. The coefficient of determination reveals that leadership style and workload contribute 16.3% to employee productivity, indicating that while these factors play a role, the majority of the variation in productivity (83.7%) is due to other factors not explored in this study. These findings highlight the need for the company to consider a holistic approach to human resource management, focusing not only on leadership style and workload but also on other variables that could further enhance employee productivity. This research provides valuable input for improving organizational strategies

This research investigates the integration of renewable energy systems within coastal conservation areas through public-private partnership (PPP) frameworks to achieve dual objectives of environmental sustainability and economic development. The study addresses the critical challenge of balancing energy infrastructure development with ecological preservation in sensitive coastal ecosystems, where biodiversity and community livelihoods are often at risk due to increasing industrial and urban pressures. A mixed-methods approach is employed, combining case study analysis, stakeholder interviews, and economic modeling, to generate a comprehensive perspective on the opportunities and constraints of renewable energy deployment in these regions. Case studies highlight successful international practices of PPPs that have facilitated renewable energy projects while safeguarding marine and coastal ecosystems. Stakeholder interviews with government agencies, local communities, and private sector representatives reveal the importance of transparent governance, shared responsibility, and inclusive participation in ensuring long-term project sustainability. Economic modeling further demonstrates that well-structured PPP models can reduce implementation costs by 30–40% while adhering to biodiversity conservation standards and regulatory frameworks. Findings underscore that renewable energy projects, when embedded within collaborative governance structures, not only contribute to reducing carbon emissions but also create employment opportunities, stimulate local economies, and enhance community resilience. This study contributes to the sustainable development literature by providing an actionable framework for integrating renewable energy infrastructure in environmentally sensitive areas through PPPs. The proposed framework emphasizes adaptive policy design, capacity building, and equitable benefit-sharing, offering practical insights for policymakers, practitioners, and researchers seeking to reconcile energy needs with ecological protection in coastal regions.

Environmental management auditing is a strategic tool used to assess an organization’s performance in environmental management. Its main objectives are to enhance compliance with regulations, identify environmental risks, and strengthen corporate social responsibility. This study uses a bibliometric approach to analyze trends and research opportunities in the field of environmental management auditing during the period 2015–2025. Utilizing the Publish or Perish and VOSviewer software, this study examines 200 publications obtained through Google Scholar, revealing citation patterns, author collaborations, and frequently occurring keywords in the literature. The analysis results show that topics such as auditing, disclosure, governance, and big data dominate the existing literature, reflecting significant attention to transparency and data management in environmental audits. Additionally, there is a noticeable shift toward the use of technology in environmental auditing practices, including the use of big data and analytics to support audit processes. Bibliometric visualization also identified several areas with low density, such as implementation and environmental information, indicating potential research opportunities. This suggests that although significant research has been conducted, there is still room for further development, particularly regarding the implementation of environmental management audits across various industries. This study provides valuable insights into the development of more adaptive, multidisciplinary environmental auditing strategies that align with sustainable development goals.

Unstable financial conditions in insurance companies can serve as an early indicator of potential bankruptcy, which may have wide-ranging impacts on policyholders, shareholders, and the overall stability of the financial sector. Therefore, early detection of bankruptcy risk is critically important. This study aims to evaluate the effectiveness of the Springate model in identifying potential bankruptcy among insurance companies listed on the Indonesia Stock Exchange during the 2022–2024 period. The Springate model was chosen due to its simplicity and its ability to provide quantitative insights into a company's financial condition. Data were collected from the annual financial statements of 16 companies selected through purposive sampling based on the completeness and consistency of their financial reporting. The model applies the S-Score calculation as the basis for classifying companies into financial distress or non-financial distress categories. The analysis revealed that six companies consistently exhibited signs of financial difficulty, with three of them identified as being in a state of financial distress for three consecutive years. Meanwhile, the other ten companies demonstrated stable and healthy financial conditions throughout the observation period. These findings indicate that the Springate model is reasonably practical as an early detection tool for bankruptcy risk, particularly in the insurance sector, which is influenced by various internal factors such as risk management, as well as external factors like economic fluctuations and government regulations. Therefore, this model can be utilized as a decision-support tool for both management and investors in making strategic financial decisions.

. The phenomenon of a potential megathrust earthquake predicted to occur in the coming years has raised widespread concern among the Indonesian public, particularly due to the high vulnerability of existing structures. In response to this issue, this study aims to analyze the structural capacity of buildings in resisting seismic forces and lateral loads, with a specific focus on factory structures. As a civil engineering student specializing in structural engineering, the objective of this research is to examine the behavior, performance, and potential failure patterns of building structures under earthquake loads. The research method employs pushover analysis as a tool for structural assessment, while the evaluation process refers to the guidelines outlined in ATC-40. The analysis results indicate that the factory structure is capable of withstanding a lateral load of 108,587.40 kN, with a controlled roof displacement of 1.5 meters. The structural performance level is categorized under the Damage Control (DO) stage, specifically at performance level SP-2, where the structure remains standing under lateral loads but experiences damage requiring repair before reuse. Furthermore, the failure patterns observed reveal a progressive performance of structural elements, shifting from condition B (Basic), IO (Immediate Occupancy), LS (Life Safety), C (Collapse Prevention), up to E (Extreme Damage). These findings highlight the importance of proper structural design and evaluation in enhancing resilience, ensuring safety, and minimizing potential risks from future megathrust earthquake events.

This study aims to design and develop an expert system to assist in diagnosing diseases in dairy cattle at Cibugary Farm using the Forward Chaining method. The background of this research lies in the limited knowledge of farmers in identifying early symptoms of diseases, which often leads to delays in medical treatment and negatively affects dairy cattle productivity. To address this issue, an expert system was designed to replicate the reasoning process of a human expert through a knowledge base containing diagnostic rules derived from observable symptoms. The Forward Chaining method was chosen because of its capability to trace facts from known symptoms toward a conclusion regarding the type of disease affecting the cattle. The system was developed by incorporating common disease symptoms, inference rules, and a decision-making mechanism that simulates expert analysis. Testing was carried out on several diagnostic scenarios to evaluate the accuracy and efficiency of the system. The results of the study indicate that the expert system can provide an initial diagnosis quickly and accurately, producing outputs consistent with expert assessments. This functionality assists farmers in making timely decisions regarding appropriate medical interventions, thereby reducing treatment delays and minimizing the risk of disease transmission within the herd. Consequently, the Forward Chaining-based expert system is expected to serve as an innovative solution to improve dairy cattle health management and support sustainable livestock productivity at Cibugary Farm.

A tumor is a collection of abnormal cells that develop due to excessive and uncontrolled cell division (Angkotasan & Vioneery, 2022). Currently, tumors are considered one of the leading causes of morbidity and mortality worldwide (Maryati, 2023). The purpose of this study is to provide an in-depth understanding and description of nursing care for Mr. T, a patient with a medical diagnosis of post-operative soft tissue tumor (STT) in the right arm, who was treated in Room Mawar 2 at RSUD dr. Soeselo, Tegal Regency, in accordance with standardized nursing care guidelines. This study employed a descriptive case study method, with data obtained through interviews, observations, physical examinations, and documentation reviews. Based on the case analysis, the patient’s main complaint was severe pain following surgery. Three priority nursing diagnoses were identified: acute pain, knowledge deficit related to the disease and its management, and risk of infection due to post-surgical wound. Nursing interventions were planned and implemented according to SDKI (Standar Diagnosa Keperawatan Indonesia), SIKI (Standar Intervensi Keperawatan Indonesia), and SLKI (Standar Luaran Keperawatan Indonesia), adapted to the patient’s condition. The interventions included pain management techniques, health education, wound care, and infection prevention strategies. The results showed that after the nursing care was carried out, the patient reported a decrease in pain intensity, demonstrated increased knowledge regarding his condition, and exhibited no signs of infection. This study highlights the importance of systematic nursing care in post-operative soft tissue tumor patients to reduce complications, promote recovery, and improve quality of life. The findings are expected to contribute as a reference for nursing practice and further research on tumor management in clinical settings.

This research was conducted with the primary objective of examining and determining the effect of occupational safety, occupational health, and the Occupational Health and Safety Management System (OHSMS) on employee performance at UD. Berkah Mandiri, located in Kediri Regency. The background of this study is based on the importance of implementing OHS in the workplace as an effort to minimize the risk of accidents, improve employee well-being, and support overall company productivity. In today’s increasingly competitive industrial world, attention to occupational safety and health is a key factor that not only protects workers but also enhances organizational efficiency and effectiveness. The research method employed was a quantitative approach with an associative research design. The population consisted of 56 employees, all of whom were taken as respondents through a saturated sampling technique. Data were collected using a questionnaire instrument constructed based on indicators of occupational safety, occupational health, OHSMS, and employee performance. The data were then analyzed using SPSS version 25.0 through validity and reliability tests, multiple regression analysis, and hypothesis testing both partially and simultaneously. The results of the analysis revealed that occupational safety has a significant effect on employee performance, indicating that the better the implementation of safety standards, the higher the performance achieved. Similarly, occupational health was found to have a positive and significant effect on employee performance, suggesting that healthy working conditions contribute to higher motivation and work effectiveness. Furthermore, the OHSMS also significantly influenced employee performance, reflecting that proper policies, procedures, and supervision in OHS management create a safe and productive work environment. Collectively, the three variables—occupational safety, occupational health, and OHSMS—were proven to have a significant simultaneous effect on employee performance at UD. Berkah Mandiri. Thus, this study emphasizes that occupational safety, occupational health, and OHSMS are crucial factors that must receive serious attention in order to improve employee performance and support sustainable business continuity.

This study presents a modal analysis of Pertamina EP Cepu’s closed drain pump 510-P9002, which operates in the condensate–water treatment unit of the Jambaran Tiung Biru field. Field vibration measurements conducted in August 2024 indicated a fundamental frequency of 25 Hz, corresponding to 1×RPM of the driving motor, with maximum amplitudes reaching 13.46 mm/s. Such excessive vibration poses risks of mechanical damage, reduced equipment service life, and potential operational failure. To address this issue, finite element analysis (FEA) was employed to examine the dynamic response of the pump, determine its natural frequencies, and identify possible resonance conditions. A CAD model of the pump–vessel assembly was developed, meshed, and analyzed under actual boundary conditions. The results showed several natural frequencies ranging between 23.16 and 26.65 Hz, which are close to the excitation frequency, suggesting a very high likelihood of resonance. Various structural modifications were then evaluated, including a half casing and two types of full casings. Among these, the full casing B design provided additional stiffness in the motor support area; however, none of the modifications effectively reduced vibration within the internal components. Based on these findings, the study recommends the implementation of a dynamic vibration absorber (DVA) tuned to the excitation frequency, along with the redesign of structural components to shift natural frequencies away from operating excitation. These solutions are expected to improve operational stability, extend equipment lifespan, and enhance overall system reliability. The outcomes of this research provide important insights for managing vibration issues in pump systems operating under similar conditions, particularly in the oil and gas industry where continuous, stable operation is critical.

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the  confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support sistem (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The sistem is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.  

Holtekamp Beach is a coastal area in Jayapura City that is very prone to abrasion due to sea waves because it is located directly opposite the Pacific Ocean. Abrasion and environmental damage on the coast of Holtekamp Beach are influenced by several interconnected factors that can have an impact on environmental problems. The research aims to analyze the impact of abrasion on the Holtekamp coastal area using survey and interview methods. Furthermore, data analysis is carried out by utilizing SWOT Analysis. This research was conducted from May to June 2025. The results showed that there are 4 (four) priority strategies that can be used as a basis for developing a strategy for Abrasion Disaster Risk Management Strategy in the Holtekamp Coastal Area of Jayapura City, namely; a) Increasing cooperation & coordination between stakeholders, namely the community and local government in achieving abrasion disaster management programs in the Holtekamp Coastal Area of Jayapura City; b) Optimizing supervision of development development/tourist lodges in the coastal area of Holtekamp Beach; c) Community participation is needed to maintain infrastructure that has been built and increase their awareness of environmental issues.d) Construction of wave breakers that function to reduce waves.

Students who live away from home often face various challenges in the adaptation process, ranging from separation from family, demands for independence, to adjustment to a new environment. These factors can increase the risk of feelings of loneliness and psychological problems, and potentially reduce their subjective well-being. This study aims to explore the relationship between social support and subjective well-being among students who live away from home, and to analyze the relationship between each aspect of social support and subjective well-being. The method used in this study is a quantitative approach with a correlational design, and the sampling technique applied is accidental sampling. The population of the study was students who lived away from home, with a sample size of 384 participants. The instruments used in this study included the Multidimensional Scale of Perceived Social Support, the Satisfaction With Life Scale, and the Positive Affect Negative Affect Schedule. The results of the analysis showed a significant positive relationship between social support and subjective well-being, with a p value <0.001. In addition, the correlation analysis of the three aspects of social support showed that each aspect had a significant relationship with subjective well-being. These findings indicate that social support is one of the key factors influencing the subjective well-being of students who live away from home. Thus, it is crucial for students to build a strong social support network to improve their well-being during their time away from home. This research provides valuable insights for developing support programs for students living away from home to help them adapt better. Furthermore, support from friends, family, and the surrounding community can help students cope with the stress and challenges they face during their time away from home. This suggests that building positive social relationships is crucial for their mental and emotional well-being.

Pregnancy is a unique time in a woman's life and a valuable experience for a married couple. During pregnancy, women adjust to their pregnancy, and it's not uncommon for many to experience disappointment and anxiety due to hormonal influences and physical and psychological changes. Anxious pregnant women can experience negative consequences for themselves and their fetuses, such as increased blood pressure, preeclampsia, prematurity, low birth weight, and even the risk of maternal and fetal death. Hypnobirthing is a method for reducing anxiety and has no effect on fetal growth and development. The purpose of this study was to determine the effect of hypnobirthing as self-hypnosis in reducing anxiety in pregnant women. This study used a quasi-experimental design with a sample size of 50 participants. Data collection was conducted at Tidore City Regional Hospital. The variables used in this study were the level of anxiety of pregnant women as the dependent variable and hypnobirthing as the independent variable. Maternal anxiety levels were measured before and after hypnobirthing using the HARS questionnaire. Univariate and bivariate analyses (Wilcoxon sign test) were used for analysis. The results of the study showed that there was a difference in anxiety levels before and after hypnobirthing was given of 0.92 and there was a p-value of 0.0001, which means that there was a significant influence between hypnobirthing and reducing anxiety in pregnant women