Statistical Tests Research Articles

Combination Therapy of Spiritual Emotional Freedom Technique (SEFT) with Deep Breathing Relaxation to Decrease Pain Scale in Mothers Post Sectio Caecarea (SC) Surgery

Delivery with Sectio Caesaria causes severe pain in the incision area caused by tissue tears in the abdominal wall and uterine wall. Pain that is not handled properly can cause interference with patients. The purpose of this study was to determine the effectiveness of Spiritual Emotional Freedom Technique (SEFT) combination therapy with deep breath relaxation on reducing the intensity of pain in patients after Sectio Caesaria surgery. This study used a Quasi Experiment design with a One Group Pretest Posttest Design approach. With the study subjects were all postoperative cesarean section patients on the first day of treatment totaling 35 people, samples were taken using the Acidental Sampling technique. Assessment of pain scale using observation sheet universal pain assessment tool. Statistical tests use the Wilcoxon test with an error rate of 5%. From the results of this study there was a decrease in pain levels before the intervention was carried out from controlled severe pain as many as 25 respondents then there was a decrease in the intensity of controlled severe pain to 14 respondents after the intervention. The results of the Wilcoxon test obtained a p value of 0.000, meaning that SEFT combination therapy with deep breath relaxation had a significant impact on reducing pain sensitivity in post op SC patients. The conclusion of this study is that SEFT therapy with deep breath relaxation can be applied as a nursing self-intervention to reduce pain.

The role of entrepreneurial leadership in achieving strategic excellence an analytical study of the opinions of a sample of college council members at private universities in the Erbil city

The research aims to determine the availability of the dimensions of entrepreneurial leadership and the dimensions of strategic excellence from the point of view of a sample of members of college councils in private universities in the Erbil city, in addition to analyzing the relationship and impact of entrepreneurial leadership represented by its dimensions (Creativity, risk taking, proactiveness, independence) in the dimensions of strategic excellence represented by (Leadership excellence, individual excellence, cultural excellence, service excellence). The general framework of the research was represented in the research problem, which was defined by raising several questions about the nature of the relationship and influence between the independent variable (entrepreneurial leadership) and the dependent variable (strategic excellence). For this purpose, a hypothetical chart was designed that expresses three main hypotheses, and to ensure their validity, they were subjected to multiple statistical tests. The questionnaire was used as a means of obtaining data. The research adopted the descriptive analytical method, where the main and sub-variables were described, to analyze the relationships and influence between the two variables. The research population was represented by all members of the college councils in the private university colleges in the Erbil city, whose number was determined according to the data and statistics of the Ministry of Higher Education and Scientific Research, and their number reached (117), and (58) members were chosen from them to represent the research sample. The hypotheses were tested through a set of analyzes and statistical tests using the computer program (SPSS Ver.26). The research reached a set of conclusions, the most important of which is the existence of positive ethical relationships at a high level between the dimensions of entrepreneurial leadership and strategic excellence at the macro and micro levels. This confirms the benefit of colleges in private universities from employing the dimensions of entrepreneurial leadership in adopting the dimensions of strategic excellence, in addition to the presence of a positive effect on statistically significant levels of the entrepreneurial leadership variable in the strategic excellence variable, according to what was produced by the analysis indicators at the macro and micro levels. The research presented a set of proposals, the most important of which is the necessity of investing in the strong relationship between the two variables and directing this relationship towards serving the colleges under research.

Evaluation of Rituximab in Immunothrombocytopenia Splenectomized and Non-Splenectomized Patient

Stroke carries a high risk of death. Survivors can experience loss of vision and/or speech, paralysis and confusion. The risk of death depends on the type of stroke and its incidence increases with advancing age. Post-stroke aphasia and language impairment are significant health problems among stroke patients and may result in considerable activity limitation. Different types of aphasia might develop according to the location of the stroke. To identify the types of aphasia in patients with stroke and to assess the relationship between the age and types of aphasia in each type of stroke in those patients. This was a hospital-based cross-sectional study conducted at Bagdad Teaching Hospital, Medical City and Al Imamin Al Kazmain Medical City during the period from October 2014 to the end of September 2015. One hundred patients were enrolled and assessed at neurology and general medical wards. Clinical assessment of the aphasic patient was performed through clinical and language examination was performed. Statistical analysis was performed using the statistical package for Social Sciences version 22 and the appropriate statistical tests were used accordingly. The mean age of the studied group was 62.1 ± 13.2 (range: 37-87) years and the majority of the patients aged more than 50 years. Females represented 55% of the patients. Ischemic and hemorrhagic strokes were reported in 76% and 24% of patients, respectively. Global aphasia was found in 32%, Broca´s(17%), Thalamic 17 (17%), Putaminal(11%), and Werneck’s (11%) of the patients, other types were less frequent. Hypertension was the most frequent risk factor reported among the patients Heart failure was the commonest reported cardiac factor. Aphasia was more frequent among patients older than 50 years. No statistically significant association had been found between the age and the types of aphasia (P>0.05). Global, Broca´sWernick´saphasia were significantly associated with ischemic stroke, while Thalamic, Putaminal conduction and anomia were associated with hemorrhagic stroke, (P<0.05). Hyperlipidemia and diabetes mellitus were significantly associated with Ischemic stroke rather than hemorrhagic (P=0.010). Cardiac risk factors were significantly associated with Ischemic stroke, (P = 0.038).7 Aphasia was more frequent with older age, and no significant association had been found between the type of aphasia and the age, generally, no significant association had been found between the types of aphasia and the risk factors, but some types were associated significantly with hypertension, smoking and diabetes mellitus. Further studies are suggested for further assessment.

Relationship between Lipid and Blood Glucose Levels with Stroke Risk in Dupak Surabaya

Background: Stroke is a syndrome characterized by rapidly developing symptoms and/or clinical signs in the form of focal or global brain functional disorders lasting more than 24 hours which are not caused by causes other than vascular. Stroke is the number one cause of disability and the main cause of death in Indonesia (19.42% of total deaths). Dyslipidemia and diabetes mellitus are two-fold risk factors for stroke.This research is to determine the relationship between lipids and blood glucose and a high risk of stroke. Methods: This research uses descriptive analytical methods with a cross sectional approach. The population is residents in Dupak Surabaya. The sampling method is random sampling technique. The total research sample was 53 participants. The statistical test used is Chi Square. Result: Statistical results show that there is no relationship between high cholesterol levels and the risk of stroke and there is a relationship between high triglyceride and blood sugar levels and the risk of stroke.Conclusion:This research concluded that there was a significant relationship between high levels of triglycerides and blood glucose and the risk of stroke and there was no significant relationship between high cholesterol levels and the risk of stroke. This lack of significant association could be due to the heterogeneous population and the presence of previous anti-cholesterol medication.

Combined LC-MS/MS feature grouping, statistical prioritization, and interactive networking in msFeaST.

Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping, resulting in feature sets that also represent an intuitive and scientifically meaningful first stage of analysis in untargeted metabolomics. Exploiting such feature sets, feature-set testing has emerged as an approach that is widely used in genomics and targeted metabolomics pathway enrichment analyses. It allows for formally combining groupings with statistical testing into more meaningful pathway enrichment conclusions. Here, we present msFeaST (mass spectral Feature Set Testing), a feature-set testing and visualization workflow for LC-MS/MS untargeted metabolomics data. Feature-set testing involves statistically assessing differential abundance patterns for groups of features across experimental conditions. We developed msFeaST to make use of spectral similarity-based feature groupings generated using k-medoids clustering, where the resulting clusters serve as a proxy for grouping structurally similar features with potential biosynthesis pathway relationships. Spectral clustering done in this way allows for feature group-wise statistical testing using the globaltest package, which provides high power to detect small concordant effects via joint modeling and reduced multiplicity adjustment penalties. Hence, msFeaST provides interactive integration of the semi-quantitative experimental information with mass-spectral structural similarity information, enhancing the prioritization of features and feature sets during exploratory data analysis. The msFeaST workflow is freely available through https://github.com/kevinmildau/msFeaST and built to work on MacOS and Linux systems.

Long-term Evaluation of Machine Learning Based Methods for Air Emission Monitoring.

Machine learning (ML) techniques have been researched and used in various environmental monitoring applications. Few studies have reported the long-term evaluation of such applications. Discussions regarding the risks and regulatory frameworks of ML applications in environmental monitoring have been rare. We monitored the performance of six predictive models developed using ML and statistical methods for 28 months. The six models used to predict NOx emissions were developed using six different algorithms. The model developed with a moderate complexity algorithm, adaptive boosting, had the best performance in long-term monitoring, with a root mean square error (RMSE) of 0.48 kg/hr in the 28-month monitoring period, and passed two of the three relative accuracy test audits. High complexity models based on gradient boosting and neural network algorithms had the best training performance, with a minimum RMSE of 0.23 kg/hr and 0.26 kg/hr, but also had the worst RMSE scores, of 0.51 kg/hr and 0.57 kg/hr, during the monitoring period. In addition, all six models failed all three relative accuracy test audits. The following problems were observed: (1) Complex ML models tended to have overfitting problems, thus indicating the importance of the trade-off between model accuracy and complexity. (2) Model input sensor drift or out of high-frequency ranges from the training data resulted in inaccurate predictions or an accuracy lower than the minimum allowed by regulators. (3) Existing regulatory frameworks must be modernized to keep pace with current machine learning practices. Some statistical tests are unsuitable for applications developed by using ML methods.

View Factors Approach for Bifacial Photovoltaic Array Modeling: Bifacial Gain Sensitivity Analysis

Abstract Bifacial modules are highly valued in the global photovoltaic market since they are able to receive sunlight from both sides and can generate up to 10–30% additional energy compared to monofacial ones. They are integrated into various sectors, including building and notably Agrivoltaics. In this work, a coupled optical–thermal–electrical model was developed in matlab to simulate the energy performance and bifacial gain for a ground-raised bifacial system. The model allows optimization as a function of the photovoltaic (PV) system and bifacial module characteristics. A fixed, south-facing bifacial PV arrays composed of three rows assumed installed in Agadir, Morocco, is considered. The optical model is based on an analytical determination of view factors using the cross-string rule. These enable the determination of irradiances received by both sides of modules, which are subsequently used to evaluate energy yield of the system. Model validation was carried out based on various statistical metrics by comparing our results with simulation results generated by various softwares. The comparison shows a very good agreement, notably with 3dbifacialvf (R2 = 1, root-mean-square error (RMSE) = 0.03 W/m2 and R2 = 0.96, RMSE = 12.4 W/m2) for front and rear side irradiance, respectively. The DC energy generated by the system differs by less than 1% compared to pvsyst results. Sensitivity analysis revealed that all system parameters, particularly ground albedo, positively affect the bifacial gain. The bifacial gain increased from 10.6% to 20.1% as the ground albedo increased from 0.25 to 0.5.

A Study of The Work of The Flap Plow in Silty Loam Soil (Mould Board Plow)

This study was carried out in one of the agricultural fields affiliated to the University of Basra in the year 2022, where the study included the use of the tractor type (Massey Ferguson MF 375) with the rotary cultivator at different speeds, as well as the use of different depths to study the effect of this on silty clay soils. In this experiment, the effect of two factors was studied. They are the plowing depths (0.13, 0.185, 0.235 m) and the plowing speed of the tractor with the tipper plow, which ranged from (0.977, 1.347, 1.805 m/sec) in the studied technical indicators, which included practical productivity, the real efficiency of the symptoms, soil resistance to penetration, and the percentage of slip. The research was carried out according to the randomized complete block design and with four replications using the practical experiment method, where the statistical results and differences tests were analyzed in a manner with the least significant difference at the level of (0.05). To the decrease in the practical productivity and field efficiency of the plows with an increase in soil resistance to penetration and the percentage of slippage, and the plowing depth exceeded 0.15 meters over the plowing depths (0.235, 0.185) meters in achieving the highest rate of practical productivity with the highest field efficiency of the plow, as well as achieving the lowest soil resistance rate For penetration with the lowest anti-overturning ratio, while increasing the practical speed of the plow from 0.997 to 1.347 m/sec and then to 1.805 m/ sec led to an increase in practical productivity with a decrease in the field efficiency of the plow as well as an increase in soil resistance to penetration with an increase in the slip percentage.

Influence of dental bleaching on the microhardness and flexural strength of resin composites

Purpose. This study aimed to examine the influence of dental bleaching systems (home bleaching system and two in-office bleaching systems) on the surface microhardness, and flexural strength of the two resin composite restorative materials (Beautifil II and OliREVO). Methods. For each test, a total of 48 samples were prepared with both types of composites. The samples of each type of composite were divided at random into four groups each of six samples, control group (C) was not bleached and kept in distilled water, other three groups (G1, G2, and G3) were bleached with 10% hydrogen peroxide (HP) home beaching, 35% and 40% HP in-office bleaching systems, respectively. To measure the composite resin's microhardness, a Vickers microhardness tester was used, while a universal testing machine was used to measure its flexural strength. Results. For statistical analysis, Duncan and ANOVA tests were used. A p-value ≤0.01 indicates statistically significant results. In-office bleaching systems (35% and 40% HP) significantly reduced microhardness and flexural strength of the used resin composites. Generally, the hardness and flexural strength of Beautifil II were better than OliREVO composite. Conclusion. Regarding the physical properties of composite resins, the microhardness and flexural strength may be compromised by bleaching treatments.

Ranking co-change candidates suggested by FLeCCS using programmer sensitivity

Identifying co-change candidates when making changes to a particular program entity is an important software engineering task which is known as change impact analysis. A number of techniques for detecting co-change candidates currently exist. Most of these techniques work considering file level, class level, or method level granularity. FLeCCS is a recently introduced technique that suggests co-change candidates considering even fragment level granularity. FLeCCS ranks its co-change candidates considering file proximity. However, programmer sensitivity might be an important factor while ranking co-change candidates. Intuitively, it is more comfortable for a programmer to change her own code rather than changing someone else's code. Considering this fact, we investigate ranking co-change candidates suggested by FLeCCS considering programmer sensitivity.In our research, we have two main contributions: (1) proposing a composite ranking mechanism considering three things - file proximity, code similarity, and programmer sensitivity and (2) an empirical evaluation of our proposed mechanism by comparing it with file proximity ranking and similarity extent ranking mechanisms on thousands of revisions of five subject systems. We compare the ranking mechanisms in ranking the co-change candidates suggested by FLeCCS. According to our investigation incorporating four measures (Precision At K, Recall At K, Mean Average Precision and Mean Reciprocal Rank), composite ranking mechanism significantly outperforms the other two existing ranking mechanisms. Our findings are supported by statistical significance tests. We believe that our Proposed Composite Ranking mechanism is not only applicable to FLeCCS but also to other co-change suggestion techniques.

Diabetes Mellitus Associated with Sputum Conversion Time in Drug-Resistant Pulmonary TB Patients at Dr. Soebandi Regional General Hospital, Jember

Introduction: Diabetes mellitus (DM) comorbidity in drug-resistant (DR) pulmonary tuberculosis (TB) patients can be associated with the treatment outcome. In DR-TB patients with DM, the immune system is impaired, which will decrease the success of treatment. Sputum conversion time is an indicator used to predict the treatment outcome. However, there is still no further study related to the association between DM comorbidity and the sputum conversion time in DR-TB patients, especially in Jember. This study aimed to determine the association between DM and sputum conversion time in DR-TB patients at Dr. Soebandi Regional General Hospital, Jember. Methods: This was an analytic observational study with a cross-sectional design. A total of 122 samples of DR-TB patients were taken using the purposive sampling method in 2018-2023 at Dr. Soebandi Regional General Hospital, Jember. The data were analyzed using the Chi-square and logistic regression statistical test. Results: Chi-square analysis showed that DM (p = 0.015; OR = 2.604; 95% CI 1.195-5.674) and age (p = 0.021; OR = 0.377; 95% CI 0.162-0.878) were associated with sputum conversion time. Logistic regression showed that DM was the most associated variable with the sputum conversion time (p = 0.016; OR = 2.604; 95% CI 1.195-5.674) compared to gender, age, TB resistance type, and anti-TB regimen. Conclusion: DM is associated with prolonged sputum conversion time in DR-TB patients at Dr. Soebandi Regional General Hospital, Jember. DM was also the most associated variable with the sputum conversion time compared to gender, age, TB resistance type, and anti-TB regimen.

The Influence of Operating Profit and Loss and the Size of The Public Accounting Firm on Audit Delay

This research aims to determine and analyze the influence of Operating Profit and Loss and the Size of the Public Accounting Firm (KAP) partially on Audit Delay. The influence of Operating Profit and Loss and Size of the Public Accounting Firm (KAP) simultaneously on Audit Delay in companies listed on IDX-MES BUMN 17 Period 2018-2022. This research uses a descriptive method with a quantitative approach. The statistical test tool uses the help of the IBM SPSS Statistics 27 version program. Operating Profit and Loss partially influence Audit Delay with a value of count 3,832 > table 2,018. The size of the Public Accounting Firm partially has no effect with a value of count -1.605 < table 2.018. Operating Profit and Loss and the Size of the Public Accounting Firm simultaneously influence Audit Delay with a value of Fcount 7.391 > Ftable 3.214. The R Square value obtained was 26.0%; the remaining 74.0% was influenced by other factors not examined in this research. Thus, the relationship between the variables in this study has a trim level of relationship. Companies should pay more attention to the timeliness of submitting financial reports, considering the importance of economic reports in decision-making. The manager evaluates the performance of each division to minimize delays in submitting financial reports. Future researchers can add independent variables and observation periods and expand the research object. Researchers want to know the extent to which these two variables play a role in influencing Audit Delay, especially in companies listed on IDX-MES BUMN 17, and can provide further information.

HUBUNGAN KONSUMSI MAKANAN DENGAN STATUS GIZI ANAK USIA SEKOLAH SD 3 MUHAMMADIYAH PALEMBANG

Food is a type of food that is very well known and commonly consumed by the public, including school children. Data (WHO) on the nutritional status of children in the world with a prevalence of emaciation of around 13.9%, obesity of >340 million people. Riskesdas in 2018 for children aged 5-12 years based on the BMI/U index with a thin nutritional status of 6.8% and an obesity nutritional status of 9.2%. Riskesdas for South Sumatra Province in 2018, the prevalence of nutritional status of children aged 5-12 years was based on the BMI/U index with the nutritional status of thin children at 6.26% and the nutritional status for obesity at 9.08%. Meanwhile, based on Palembang City data, the BMI/U index for the nutritional status of thin children is 6.88% and the nutritional status of obese children is 11.59%. Snacks that are not guaranteed to be clean can cause digestive disorders and poisoning. To determine the relationship between food consumption and the nutritional status of school-aged children. His research used a descriptive analytical design with a cross-sectional approach. The number of research respondents was 169 students. The research instrument used was a Semi Quantitative Form-FFQ questionnaire with interview and questionnaire methods taken at one time. The research carried out was located at SD 3 Muhammadiyah Palembang in March 2024. The variables explained included the characteristics of the respondents (age, parents' education, parents' occupation and nutritional status of the respondents). The research data used for statistical tests was the Spearman Correlation analysis test. Research Results: There is a relationship between food consumption and the nutritional status of school-aged children (p value 0.000 < 0.05). The higher the frequency of food consumption, the risk of obesity in school-aged children will increase. Keywords : School age children, Food consumption, Nutrional Status Bibliography : 11 (2020-2023).

Hubungan Fungsi Kepala Ruangan dengan Kinerja Perawat Pelaksana di Ruangan Rawat Inap RSUD Palangka Raya

One of the critical elements affecting nurse performance and impacting the quality of nursing services is the implementation of the head nurse's functions. This role must be effectively integrated into the healthcare system to motivate nurses to provide optimal patient care, thereby improving community health quality. This study aims to analyze the relationship between the head nurse's functions and the performance of bedside nurses in the inpatient wards at RSUD Palangka Raya. Method: This study employed a quantitative method with a correlational research type and a cross-sectional approach. The sampling technique used was total sampling, involving 34 respondents. Data collection was performed using a questionnaire, and statistical analysis was conducted using the Spearman Rank Correlation test. Results:The results of the Spearman Rank statistical test showed a significance value (2-tailed) of p = 0.00 with a level of significance of p < 0.05, indicating a relationship between the head nurse's functions and the performance of bedside nurses. The correlation coefficient was 0.685, reflecting a high or strong correlation. This positive relationship indicates that as the function of the head nurse improves, the performance of bedside nurses also increases. Therefore, the alternative hypothesis (Ha) is accepted, meaning there is a relationship between the head nurse's functions and the performance of bedside nurses. Conclusion: There is a significant relationship between the head nurse's functions and the performance of bedside nurses. It is recommended that the hospital provide training for head nurses on management functions.

RELATIONSHIP BETWEEN LOGISTICS SECTOR AND ECONOMIC GROWTH IN ASEAN COUNTRIES

In the modern economics, any manufacturing companies have increasingly relied on professional logistics firms, leading to rapid growth in the logistics sector as a service industry and its significant contribution to economic development. With increasing globalization and competition, countries have focused on enhancing their logistics systems to ensure stable economic growth and strengthen global trade competitiveness. In the ASEAN region, logistics plays a critical role, facilitating cross-border trade and regional connectivity. This study aims to investigate the relationship between the logistics sector, specifically air freight transportation, and economic growth in ASEAN countries, given the sector's central role in supporting supply chain management and trade activities. The primary objective of this study is to determine whether there is a causal relationship between air freight transportation (AFT), a key logistics activity, and gross domestic product (GDP) growth in six ASEAN countries. The study seeks to provide insights into how investment in logistics infrastructure, particularly in air freight, may influence economic growth in the region. The study uses panel data for six ASEAN countries from 1996 to 2021. Data on GDP growth and air freight transportation were sourced from the World Bank’s World Development Indicators database. A series of statistical tests, including the Cross-Sectional Augmented Dickey Fuller (CADF) test, Pesaran’s slope homogeneity test, and the Bootstrap Granger causality test, were performed to examine cross-sectional dependence and the causal relationship between GDP growth and air freight transportation. Descriptive statistics revealed significant disparities in air freight transportation capacity among the countries studied, with Indonesia and Thailand showing substantial air freight volumes compared to the Philippines. However, the results of the panel causality tests, including the Dumitrescu and Hurlin panel causality test, indicate that no causal relationship exists between air freight transportation and GDP growth in the six ASEAN countries.

The Influence of the Project-Based Learning (PjBL) Model on Student's Science Process Skills and Critical Thinking

Applying the project-based learning model in learning can train and develop scientific attitudes and problem-solving skills so that students can increase creativity, innovation, and critical perspectives. This research aims to determine the effect of the project-based learning model on student's science process skills and critical thinking. The research subjects of class X Phase E. This research was quantitative research with a quasi-experimental research design with a non-randomized control-group pretest-posttest design. The instruments used are essay questions on science process skills and critical thinking. The test results were analyzed using Quade's rank analysis of covariance statistical test and the One Way Ancova test. The research results show that the average pretest-posttest score of experimental class students taught using the project-based learning model is higher than that of control class students taught using the problem-based learning (PBL) model. Hypothesis testing using Quade's rank analysis of Covariance and One Way Ancova tets informs that the use of the project-based (PjBL) model affects student's science process skills and critical thinking.

Impact Corporate Taxpayer Compliance On Tax Revenue Growth With Tax Audit Moderation

This study examined the effect of tax audits and corporate taxpayer compliance on increasing tax revenue, focusing on corporate taxpayers at KPP Madya Makassar. A quantitative approach was employed, using secondary data collected from 12 corporate taxpayers annually from 2015 to 2018, resulting in 48 observations. Data analysis included descriptive statistical tests, classical assumption tests, and hypothesis testing through linear regression. The results indicated that while the Taxpayer Compliance Level and Tax Audit had positive coefficients, neither variable significantly affected tax revenue. Additionally, the interaction between Taxpayer Compliance and Tax Audit did not significantly moderate the impact on tax revenue. These findings suggest that although tax audits have a role in monitoring compliance, they do not substantially moderate the relationship between taxpayer compliance and tax revenue. This study provides valuable insights for tax authorities and policymakers in designing strategies to enhance compliance and optimise tax audits.

Therapeutic Communication Relationship With The Level of Anxiety of Primigravida Mother in Facing Childbirth At TK IV Hospital Cijantung Kesdam Jaya in 2023

One factor that affects the safety of labor is anxiety during the labor process. Anxiety and fear can cause severe pain and can also result in decreased uterine contractions, resulting in longer labor. The purpose of this study is to determine the relationship between therapeutic communication and the anxiety level of primigravida mothers in facing labor. This research type is descriptive-analytic. This study population is all primigravida laboring mothers in TK IV Cijantung Kesdam Jaya Hospital in 2023, as many as 30 people. Samples of this study were all primigravida pregnant women before childbirth at TK IV Cijantung Kesdam Jaya Hospital in January–February 2023, with as many as 30 respondents. The technique of sampling in this study was purposive sampling. Analyze the data with Chi Square. The statistical test results obtained P value = 0.000 means P value α (0.05). The results indicate that there is a relationship between therapeutic communication and the level of anxiety of primigravida mothers in the face of childbirth. It is expected that TK IV Cijantung Kesdam Jaya Hospital will improve health services for mothers in labor by managing the application of therapeutic communication by midwives in providing care to mothers in labor.

Incidence of Obesity in Diabetes Mellitus Rates, Profile of Teachers and Employees at SMA X Surabaya

Background: Reduced metabolic function can cause the human body to experience a lack of energy, resulting in the possibility of diseases including diabetes mellitus, hypertension, atherosclerosis, and even coronary heart disease. Objective: This study aims to analyze the incidence of obesity through Body Mass Index on the incidence of diabetes mellitus and Lipid Profile at SMA X Surabaya. Methods: The research design used was cross-sectional. Sampling was carried out using non-probability sampling with a random sampling technique. Data collection was carried out at SMA X Surabaya by 64 teachers and employees of SMA X Surabaya. Respondents were gathered to receive health education, then went through the registration stages, and vital signs, and then 5 mL of venous blood was taken to measure blood sugar levels and lipid profiles, namely total cholesterol and triglyceride levels. This research uses the Chi-Square test statistical test. Result: There is a significant relationship based on the chi square test between body mass index and cholesterol levels and triglyceride levels. because the p-value < 0.05 is 0.041 and 0.050 respectively, but there is no significant relationship between body mass index and glucose levels with a p-value of 0.181. Conclusion: There is a relationship between the incidence of obesity through Body Mass Index and the incidence of Lipid Profile but there is no relationship with the incidence of diabetes mellitus at SMA X Surabaya

Analysis of Consumer Purchase Satisfaction According to Network Marketing Selection Attributes of Inner Beauty Products

Purpose: Korean society is increasingly interested in expressing a beautifully maintained appearance rather than simply pursuing beauty. In addition, the development and sales of beauty products related to this are increasing as people are demanding to think about their inner health as well as their outer appearance. Therefore, this study focused on inner beauty products sold through network marketing and objectively examined how consumers evaluate their purchase satisfaction according to their choice attributes.
 Method: Participants in the study were participants who had purchased inner beauty products through network marketing, and 212 response sheets were used for the final analysis. Multiple regression analysis was conducted to verify the influence of network marketing selection attributes of inner beauty products on consumer purchase satisfaction, and the significance level according to statistical test was determined at p<.05.
 Results: Multiple regression analysis was conducted to examine the multidimensional influence of the factors of the choice attributes of the study participants on the sub-factors of the purchase satisfaction variables. The results of the study showed that the choice attributes that have a significant impact on consumer purchase satisfaction are internal choice attributes and ecological choice attributes, except for external choice attributes.
 Conclusion: Consumption choice attributes of modern people show various consumption behaviors depending on individual characteristics and perceived value. In this study, we examined how consumer purchase satisfaction is manifested according to the choice attributes of consumers participating in network marketing. Based on these results, it is expected that network marketing operators can use it as an objective data on the selection attributes and purchase satisfaction evaluation of inner beauty products so that they can have an independent attitude as business owners.