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Work stress is a critical occupational health concern among midwives working at primary healthcare facilities. This cross-sectional study aimed to analyze factors associated with work stress among 30 midwives, including age, marital status, length of service, and dual-role conflict. Data were collected using structured questionnaires measuring work stress (9 valid items) and dual-role conflict (6 items), and analyzed through univariate, bivariate (Fisher's Exact Test and Chi-Square), and multivariate (binary logistic regression) analyses. Results showed that 43.3% of midwives experienced high work stress and 53.3% reported high dual-role conflict. Bivariate analysis revealed significant associations between work stress and marital status (p=0.009) and dual-role conflict (p=0.004), while age (p=0.633) and length of service (p=0.586) were not significant. Multivariate analysis identified dual-role conflict as the primary determinant of work stress (OR=15.762; 95% CI: 2.149–115.631; p=0.007). Healthcare facility management should develop gender-responsive policies and workplace stress intervention programs to reduce dual-role conflict and work stress among midwives.

Artificial intelligence has the potential to support radiology workflows by assisting in the identification of cases that may require additional clinical attention. However, alert-oriented medical AI systems should provide not only classification outputs but also interpretable evidence that can be reviewed and audited by clinicians. This study develops and evaluates an explainable multimodal framework for binary chest X-ray alert classification using paired radiology reports and chest X-ray images. The text branch employs TF-IDF n-gram features with a class-balanced Logistic Regression classifier, while the image branch fine-tunes a pretrained ResNet18 model. The two branches are integrated through probability-level late fusion using a validation-selected fusion weight. Explainability is implemented in a modality-specific manner: global coefficient analysis is used to identify influential textual cues, while Grad-CAM heatmaps are used to visualize salient image regions. Experiments were conducted on paired samples from the Open-i/IU X-Ray dataset using text-only, image-only, and fusion-based evaluation settings. Additional analyses include case-level complementarity analysis, bootstrap confidence intervals for ROC-AUC, shortcut-feature inspection, and qualitative Grad-CAM auditing. The results indicate that the text modality provides the dominant predictive signal under the current proxy-label setting. Late fusion produced a small descriptive improvement on the test set, increasing accuracy from 0.8533 to 0.8667, F1-score from 0.8817 to 0.8936, and ROC-AUC from 0.8936 to 0.9025 compared with the text-only baseline. However, the observed ROC-AUC improvement was not statistically conclusive based on bootstrap analysis. These findings suggest that the proposed framework is useful as a reproducible and auditable multimodal prototype, while also highlighting important limitations, including proxy-label ambiguity, potential label leakage from radiology reports, limited image-branch contribution, lack of external validation, and the need for stronger explanation and calibration assessment.

Anxiety disorders are common mental health problems among adolescents, particularly high school students who face academic demands, social pressure, and emotional changes. Family support, sleep quality, and academic stress are considered factors related to students’ anxiety levels. This study aimed to examine the relationship between family support, sleep quality, academic stress, and anxiety disorders among students of SMAN 1 Sumbawa Besar. An analytical study with a cross-sectional design was conducted involving 114 students selected through stratified random sampling. Data were collected using the Perceived Social Support–Family (PSS-Fa), Pittsburgh Sleep Quality Index (PSQI), Educational Stress Scale for Adolescence (ESSA), and Depression Anxiety Stress Scale (DASS-42). Bivariate analysis was performed using the chi-square test, while multivariate analysis employed binary logistic regression. Bivariate results indicated significant associations between family support, sleep quality, academic stress, and anxiety disorders (p < 0.05). However, multivariate analysis revealed that only family support and sleep quality were significantly associated with anxiety disorders, while academic stress was not significant after controlling for other variables. These findings suggest that anxiety prevention efforts should prioritize strengthening family support and improving sleep quality, alongside academic stress management within the school environment.

The agricultural sector plays a strategic role in meeting food needs while maintaining environmental sustainability and community welfare. However, conventional farming practices that rely on chemical inputs have caused various problems, such as soil degradation, loss of biodiversity, and environmental pollution. This condition has encouraged the adoption of the Sustainable Agriculture concept, which emphasizes a balance between ecological, economic, and social aspects. Its successful implementation is strongly influenced by farmers’ perceptions as the main actors. This study aims to analyze rice farmers’ perceptions of the implementation of Sustainable Agriculture in swampy areas of Tebas District, Sambas Regency. The research was conducted from October to November 2025 using a survey method involving 95 farmers selected through the Slovin formula and proportional random sampling technique. Data were collected through observation, interviews, and Likert-scale questionnaires, and analyzed using descriptive analysis and binary logistic regression. The results show that farmers’ perceptions are generally positive, particularly regarding water management, variety selection, and cropping patterns. However, the use of organic fertilizers, environmentally friendly pest control, and post-harvest management are still considered difficult. Education level and non-farming occupations significantly influence farmers’ perceptions. Therefore, enhancing extension services, training, and support for business diversification is necessary to promote the adoption of Sustainable Agriculture.

Health workers contribute up to 80% to the success of health development. For this reason, effective employee performance management is needed according to service performance for communicable and non-communicable diseases. The aim of this research is to analyze the factors that influence the performance of nurses in health services for non-communicable diseases and infectious diseases at the UPT Puskesmas Kuala, Kuala District, Langkat Regency.The research design used was an analytical survey with a cross sectional approach. The population of this study were all 31 nurses with a sample using a total sampling technique of 31 people. The data analysis used is the binary logistic regression test.The research results show that ability has a sig-p value of 0.025, attitude sig-p 0.014, learning sig-p 0.036, motivation sig-p 0.022, leadership sig-p 0.031 and work environment sig-p 0.048, which means it has an influence on nurse performance , while age sig-p 1.000 and perception sig-p 0.496 have no influence on nurse performance. Attitude is the dominant factor with an OR value of 28.446. In conclusion, ability, attitude, learning, motivation, leadership, and work environment influence nurse performance, while age and perception have no effect. Attitude is the most dominant factor influencing nurse performance.

Sustainability reporting has been increasingly popular in recent years as businesses become more aware of environmental challenges. 96% of the top businesses in the world have implemented sustainability reporting practices, according to a KPMG survey. The effect of sustainability reporting practices on environmental performance is examined in this study. Sustainability reports, the implementation of GRI standards, and external assurance are used to gauge sustainability reporting procedures; firm size is used as a control variable. In this study, 305 observational data from manufacturing firm over a five-year period (2018-2022) were analysed quantitatively using binary logistic regression. The findings indicate that while the use of GRI standards has a positive and significant effect on environmental performance, sustainability reports and external assurance have no significant effect. These findings show that the implementation in GRI standards encourages business commitment to sustainable practices and transparency, both of which have a significant impact on environmental performance. In the meanwhile, external assurance and sustainability reports tend to be mostly symbolic and do not demonstrate a real commitment to environmental improvement. Environmental performance is positively impacted by the control variable, firm size. These findings suggest that a company's environmental performance is correlated with its size. As a control variable, firm size contributes to maintaining and clarifying the relationship between environmental performance and sustainability practices while ensuring objective and valid study findings. This study emphasizes the importance of strengthening the quality of sustainability reporting and expanding the application of external standards and assurance to improve the credibility and accountability of corporate environmental performance in Indonesia.

Preterm birth is a serious threat and a leading cause of neonatal morbidity and mortality in Indonesia. Preterm birth is caused by various factors induding hypertension, paristy, occupation, poor nutritional status, and maternal age during pregnancy. The purpose of this study was to determine the relationship between these faktors and preterm birth at the Pacitan community health Center. Method : The study population was all 420 mothers giving birth in 2023-2024 at the Puskesmas Pacitan, and the sample size was adjusted to the case, resulting in 74 pregnant women with 34 respondens in the case group and 34 in the control group. A retrospective cohorrt study with a case-control approschh was used. Statistical test used chi-square for bivariate test and multivariate tests with logistic regression to analyze categorial data and measure the strength of the relationship. The results of the statistical analysis are as follows: a bivariate test using chi-square analysis of factors affecting the incidence of prematurity revealed maternal age during pregnancy (p-value 0,022), occupation (p-value 0,173), parity (p-value 0,047), nutritional status (p-value 0,047), and hypertension (p-value 0,058). The results of the binary logistic regression test showed that maternal age during pregnancy, parity,and nutriitional status werw all significant (p = 0,000). A nagelkerke  R2 of 1.000 indicated that the model was able to explain 100% of the variation in the incidence of prematurity. Conclusion: there is a relationship between maternal age during pregnancy, parity, maternal nutritional, and hypertension with the incidence of prematurity. There is no relationship between occupation and the incidence of prematurity.

Malaria is a global health problem, particularly in tropical countries like Indonesia. Papua has 374 endemic districts/cities, with the highest number of malaria cases, with 14,586 cases, and Jayapura Regency in 2024 with 50,529 patients and 6,213 relapses. The high number of cases is due to the geographical conditions that favor mosquito breeding and the dormant state in the body. If treatment is not carried out correctly and thoroughly, it can lead to malaria relapse. The purpose of this study was to determine factors associated with relapse in malaria patients in the Harapan Community Health Center (Puskesmas) area, Jayapura Regency. This research was an analytical study with a cross-sectional design. Data collection was conducted using a questionnaire. A total of 88 respondents were recruited using simple accidental sampling. The data obtained were statistically analyzed using chi-square and binary logistic regression. Based on the analysis, it was found that factors that were not related to recurrence in malaria patients in the Harapan Community Health Center, Jayapura Regency were age (p-value 1.000 > α 0.05), gender (p-value 0.855 > α 0.05), and education (p-value 0.124 > α 0.05). Factors related to recurrence in malaria patients in the Harapan Community Health Center, Jayapura Regency were occupation (p-value 0.032 or p < α 0.05), nutritional status (p-value 0.000 < α 0.05), and medication adherence (p-value 0.000 < α 0.05). Medication adherence was the dominant factor in recurrence in malaria patients at the Harapan Community Health Center (p-value 0.000 < 0.05). Malaria patients who do not comply with taking their medication cause the malaria parasite to become dormant in the body which can at any time cause malaria relapses and resistance to malaria drugs.

Chronic kidney disease (CKD) is an escalating public health issue, particularly among the elderly. High salt intake is a modifiable dietary risk factor suspected to accelerate CKD progression. However, large-scale evidence from Indonesia remains scarce. This study investigates the association between salty food consumption and CKD among older adults in Indonesia. Using data from the 2023 Indonesia Health Survey (Survei Kesehatan Indonesia/SKI 2023), we analyzed 97,339 individuals aged 60 and above. Descriptive statistics outlined participant characteristics, while chi-square tests and binary logistic regression assessed associations and adjusted effects. Statistical analyses were conducted using STATA 14.1, with significance set at p < 0.05. Among participants, 89.3% reported consuming salty foods, and CKD prevalence was 0.5%. Bivariate analysis showed significant associations between CKD and sex, education, and salty food intake (p < 0.001). Multivariate results indicated that elderly individuals who did not consume salty food had significantly reduced odds of CKD (OR = 0.70; 95% CI: 0.54–0.90; p = 0.006), suggesting a protective effect. These findings highlight a strong association between salty food consumption and CKD risk in Indonesia’s aging population. Reducing dietary salt intake may serve as an effective, low-cost intervention for CKD prevention. Urgent public health strategies focusing on dietary behavior change and nutrition education for the elderly are needed to curb the rising burden of kidney disease.

Chronic kidney disease (CKD) is an escalating public health issue, particularly among the elderly. High salt intake is a modifiable dietary risk factor suspected to accelerate CKD progression. However, large-scale evidence from Indonesia remains scarce. This study investigates the association between salty food consumption and CKD among older adults in Indonesia. Using data from the 2023 Indonesia Health Survey (Survei Kesehatan Indonesia/SKI 2023), we analyzed 97,339 individuals aged 60 and above. Descriptive statistics outlined participant characteristics, while chi-square tests and binary logistic regression assessed associations and adjusted effects. Statistical analyses were conducted using STATA 14.1, with significance set at p < 0.05. Among participants, 89.3% reported consuming salty foods, and CKD prevalence was 0.5%. Bivariate analysis showed significant associations between CKD and sex, education, and salty food intake (p < 0.001). Multivariate results indicated that elderly individuals who did not consume salty food had significantly reduced odds of CKD (OR = 0.70; 95% CI: 0.54–0.90; p = 0.006), suggesting a protective effect. These findings highlight a strong association between salty food consumption and CKD risk in Indonesia’s aging population. Reducing dietary salt intake may serve as an effective, low-cost intervention for CKD prevention. Urgent public health strategies focusing on dietary behavior change and nutrition education for the elderly are needed to curb the rising burden of kidney disease.

Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy

The insurance penetration rate in Indonesia remains relatively low, despite the important roles of both conventional and sharia insurance in mitigating unexpected financial risks. As a Muslim-majority country, consumer preferences for insurance models aligned with personal values represent a crucial concern, yet are still rarely explored using actual behavioral data. This study aims to examine the influence of Google search trends on consumer preferences in choosing between sharia and conventional insurance in Indonesia. The research applies binary logistic regression using a combination of primary data (questionnaire) and secondary data (Google Trends). Respondents were purposively selected based on stable economic status and prior experience in searching for insurance information. The results reveal that search trends significantly influence preferences for sharia insurance, but not for conventional insurance. Furthermore, religiosity and its interaction with search trends also significantly affect preferences for both insurance models. These findings contribute to big data-based consumer research and offer strategic implications for academics, industry stakeholders, and regulators in enhancing insurance literacy and participation in Indonesia..  

In Indonesia, stroke is the leading cause of illness and death among the elderly. Dietary habits, especially fatty food intake, have been identified as changeable risk factors. Nonetheless, there is a scarcity of national data on this relationship among older Indonesian adults. This study sought to investigate the relationship between fatty food intake and stroke occurrence in elderly Indonesians, utilizing data from the 2023 Indonesian Health Survey (Survey Kesehatan Indonesia or SKI). This cross-sectional study was performed using secondary data from SKI 2023, encompassing 97,339 participants aged 60 years and above. The primary outcome was whether a stroke diagnosis was present (yes/no) and the key independent variable was the consumption of fatty foods (yes/no). Additional variables considered were age, gender, education, marital status, employment, residence, and alcohol use. Weighted descriptive statistics, chi-square tests, and binary logistic regression were conducted using STATA 14.1, with sampling weights applied. The stroke prevalence among elderly participants was 3.2%. The bivariate analysis revealed a significant association between fatty food consumption and stroke (p < 0.001). Multivariate logistic regression showed that elderly individuals who avoided fatty foods had a notably reduced risk of stroke (OR = 0.51, 95% CI: 0.45–0.58, p < 0.001). Alcohol consumption also had a protective effect (OR = 0.22, 95% CI: 0.12–0.43, p < 0.001). There is a significant association between fatty food consumption and stroke among the elderly population in Indonesia. Public health strategies encouraging healthier eating habits could potentially lower the stroke risk in this susceptible group

In Indonesia, stroke is the leading cause of illness and death among the elderly. Dietary habits, especially fatty food intake, have been identified as changeable risk factors. Nonetheless, there is a scarcity of national data on this relationship among older Indonesian adults. This study sought to investigate the relationship between fatty food intake and stroke occurrence in elderly Indonesians, utilizing data from the 2023 Indonesian Health Survey (Survey Kesehatan Indonesia or SKI). This cross-sectional study was performed using secondary data from SKI 2023, encompassing 97,339 participants aged 60 years and above. The primary outcome was whether a stroke diagnosis was present (yes/no) and the key independent variable was the consumption of fatty foods (yes/no). Additional variables considered were age, gender, education, marital status, employment, residence, and alcohol use. Weighted descriptive statistics, chi-square tests, and binary logistic regression were conducted using STATA 14.1, with sampling weights applied. The stroke prevalence among elderly participants was 3.2%. The bivariate analysis revealed a significant association between fatty food consumption and stroke (p < 0.001). Multivariate logistic regression showed that elderly individuals who avoided fatty foods had a notably reduced risk of stroke (OR = 0.51, 95% CI: 0.45–0.58, p < 0.001). Alcohol consumption also had a protective effect (OR = 0.22, 95% CI: 0.12–0.43, p < 0.001). There is a significant association between fatty food consumption and stroke among the elderly population in Indonesia. Public health strategies encouraging healthier eating habits could potentially lower the stroke risk in this susceptible group

Background: Osteoarthritis (OA) is a major degenerative disease that causes disability, with a global prevalence reaching 151 million people. In Badung Regency, Bali Province, OA ranks third with a prevalence of 3.45%, making OA a significant health problem. This study aims to analyze the relationship between several determinant factors (age, gender, and domicile) and the incidence of OA in outpatients at RSD Mangusada, Badung Regency, Bali Province. Methods: The study used a cross-sectional design with a sample of 218 patients randomly taken from the medical records of RSD Mangusada throughout 2024. Data analysis was performed using binary logistic regression. Results: A total of 37.6% of patients experienced OA, in which the elderly group (?60 years) had a 2.329 times higher risk than adults (<60 years) (OR=2.329; p=0.005). Female gender is also at risk of suffering from OA as much as 2.009 times greater than male (OR=2.009; p=0.018). This is related to post-menopausal hormonal changes and lower muscle mass. However, domicile (village/city) did not show a significant relationship with OA (p>0.05). Conclusion: this study identified that advanced age and female gender as dominant risk factors for OA.

This study aims to examine public preferences for online shopping platforms and the relationship between these preferences and patriotism. This is based on the fact that online shopping activities, particularly in Indonesia, are predominantly carried out by young people. Preferences for online shopping platforms are often influenced by factors such as price, shipping speed, and discounts. However, non-economic factors, such as patriotism or love for the country, also play an important role in choosing an online shopping platform. This research uses a descriptive quantitative approach with a Likert scale-based questionnaire instrument to measure two main variables: consumer patriotism and preference for online shopping platforms. The results of data analysis using binary logistic regression show that patriotism has a significant influence on the selection of online shopping platforms. Although more people prefer Shopee, the presence of Tokopedia, as a symbolic representation of economic nationalism, remains prominent. This suggests that patriotism can influence consumer behavior, even in a digital context that is often assumed to be neutral to national values.

The purpose of this research is to analyze the effect of financial ratios on financial distress in Islamic Commercial Banks in Indonesia. This study uses determinants financial distress that isDebt Ratio (DR), Financing to Deposit Ratio (FDR), Non Performing Financing (NPF), Return On Equity (ROE), and Operating Expenses Operating Income (BOPO). The population of this study is all Islamic Commercial Banks in Indonesia. The sample taken is the quarterly financial reports of Islamic commercial banks for 9 periods, namely the 2016-2024 period using the purposive sampling and using panel data binary logistic regression testing techniques. Based on the research conducted, the results show that Debt Ratio (DR), Non Performing Financing (NPF), Return On Equity (ROE), and Operational Expenses Operating Income (BOPO) have an effect on financial distress. Whereas Financing to Deposit Ratio (FDR) has no effect on financial distress.

Population movement or migration is a social process of the decision of each individual or group to move permanently or semi-permanently and settle in a desired area. The migration carried out certainly has various purposes, and one of the purposes of the population to migrate is to work. Bali is one of the regions in Indonesia that is in great demand and is used as a tourist destination by many people. However, its existence as a tourist destination area also makes Bali a target for migration destinations to get better jobs. The city of Denpasar as the capital of Bali Province also has a lot of potential cultural heritage destinations, in fact they are very concerned and develop cultural heritage sites in their city into a tour package, the many potentials of cultural heritage make the city of Denpasar then have a variety of jobs both in the formal and informal sectors. The objectives of this study are; 1) To analyze the influence of education level, age, working hours, income and work experience on the selection of employment sectors for immigrants from outside Bali in Denpasar City 2) To analyze the influence of education level, age, working hours, income and work experience partially on the selection of employment sectors for immigrants from outside Bali in Denpasar City and 3) To analyze the most dominant influence among education level, age, working hours, income and work experience on the selection of the employment sector of immigrants from outside Bali in the city of Denpasar. Using Binary Logistic Regression, the results of this study show that; 1) Education level, age, working hours, income, and work experience have a simultaneous effect on the selection of employment sectors for immigrants from outside Bali in Denpasar City 2) Education level and work experience partially have a positive effect on the selection of employment sectors. Meanwhile, age, income and working hours partially have a negative effect on the Selection of Job Sectors. 3) Income has the most dominant influence on the choice of job sector then followed by work experience, age, education and finally working hours.

The Adolescent Information and Counseling Center (PIK-R) is an integral part of the GenRe program, designed specifically to provide adolescents with guidance and information on topics such as marriage readiness, family roles, the KRR TRIAD, life skills, gender, advocacy, and KIE competencies. Based on the 2019 SKAP data, a substantial number of respondents—predominantly those with lower education levels (60.1%) and those living in rural areas (59.22%)—demonstrated limited knowledge about family planning (75.2%), reproductive health (34.4%), GenRe (81.6%), and Adolescent Family Building (87.9%). Furthermore, 9.8% of adolescents were not receiving any related information. Against this backdrop, a study was conducted in 2024 to examine the effect of the PIK-R program on adolescent reproductive health knowledge, attitudes, and behaviors at SMAN 1 Selesai. This analytical cross-sectional study involved 98 students who met the inclusion criteria, with data analyzed using chi-square tests and binary logistic regression. The results showed that the PIK-R program significantly improved knowledge and behaviors related to adolescent reproductive health but did not affect attitudes. It is recommended that supervisors encourage student participation in PIK-R activities, enhance scheduling to maximize exposure to reproductive health education, and perform comprehensive evaluations of the program's effectiveness.

This research investigated the biomechanical variables of movement analysis and its essentialcomponents for handball players at the College of Physical Education and Sports Sciences, Al-MustansiriyaUniversity, during a league match and university qualifiers. The data was analyzed using binary logisticregression, a mathematical model that defines the link between a dependent variable, which takes the valueof one when a goal is scored against the opposing team and zero when no goals are scored, and independentfactors.The bird swarm algorithm will be used in this research. It is one of the artificial intelligencealgorithms that rely on the intelligence of living flocks by monitoring their movements, such as birds, bees,cats, chickens, and many other swarm algorithms.The conclusions we reached from this study are as follows: When using logistic regression, we foundonly four explanatory variables that affect the dependent variable. They are detailed as follows: The twoexplanatory variables (The maximum height of the hip and Flight time until leaving the ball) and thedependent variable (shooting) have an inverse relationship and affect it. The two variables (Knee angle at themoment of thrust and The instantaneous speed of the ball) have a positive relationship with aiming and affectit.When we used the Bird Swarm algorithm, we found that all the explanatory variables included in thestudy had a significant effect on the dependent variable. The variables (Knee angle at the moment of thrust,Rising angle, Flight angle, The instantaneous speed of the ball, and the horizontal distance of theperformance) have a positive relationship, with the dependent variable (shooting). In contrast (The maximumheight of the hip and Flight time until leaving the ball) have an inverse relationship with the dependentvariable.Using the logistic model helps sports coaches and researchers to estimate and predict models,especially when the dependent variable takes values ​​(one or zero). In contrast, we noticed that the resultswere more accurate and objective when using the bird swarm algorithm. It further helps academics, thoseinterested in sports, and coaches benefit from these results.