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Pneumonia detection from chest X-ray images is widely used in computer-aided diagnostic systems. However, effective clinical decision support requires not only accurate classification performance but also consideration of unequal error costs, since false negative predictions may lead to more severe consequences than false positives. In addition, prediction probabilities must be well calibrated to support threshold-based medical decisions such as triage and patient escalation. This research investigates asymmetric misclassification costs and probability calibration for binary classification (PNEUMONIA vs. NORMAL) using the Hugging Face dataset hf-vision/chest-xray-pneumonia. The proposed framework utilizes a ResNet-18 architecture integrated with cost-sensitive learning through weighted cross-entropy loss (FN:FP = 5:1), threshold optimization based on validation data to reduce expected cost, and post-hoc temperature scaling for improving probability calibration. Experimental results on the independent test set indicate that the cost-sensitive approach enhances specificity and decreases expected cost compared to the conventional cross-entropy baseline. Furthermore, temperature scaling improves the reliability of probabilistic predictions, as demonstrated by better negative log-likelihood and Brier score values. The study also explores selective prediction strategies to balance prediction coverage and risk reduction, complemented by Grad-CAM visualizations and structured failure-case analysis for qualitative assessment. Overall, the findings demonstrate that incorporating cost-aware decision thresholds and calibrated probability estimates can serve as lightweight yet effective enhancements for chest X-ray classification systems in clinical decision-support applications.

This study examines the influence of leverage, profitability, and capital structure on earnings management in consumer non-cyclicals companies listed on the Indonesia Stock Exchange (IDX) during the period 2019–2023. Earnings management has become a central issue in financial reporting, as it reflects managerial discretion in presenting financial information that may not fully align with the company’s actual economic condition. Understanding the determinants of earnings management is therefore essential to enhance transparency, credibility, and stakeholder trust in corporate financial reports. The research employed a quantitative approach using multiple linear regression analysis, with data processed through SPSS version 25. The sample consisted of 104 company-year observations, which were selected using purposive sampling techniques and subsequently refined through outlier testing to ensure data validity and reliability. The independent variables analyzed were leverage, profitability, and capital structure, while earnings management served as the dependent variable. The empirical findings demonstrate that leverage and profitability exert a significant influence on earnings management practices. Specifically, companies with higher leverage tend to engage in earnings management as a mechanism to meet financial obligations and reduce the risk of violating debt covenants. Similarly, higher profitability motivates managers to manipulate earnings in order to sustain investor confidence and maintain a favorable corporate image. In contrast, capital structure is found to have no significant effect on earnings management, indicating that financing decisions between debt and equity may not directly influence managerial behavior in financial reporting. These results highlight the importance of monitoring leverage and profitability indicators as potential predictors of earnings management. For corporate management, the findings suggest the need to implement stronger internal control systems and uphold ethical financial practices. For investors and regulators, the study provides useful insights into assessing company performance beyond reported earnings, thereby supporting more informed decision-making and promoting the integrity of capital markets.

The Ripple Mill machine is one of the vital components in a Palm Oil Mill (PKS) that functions to separate the palm kernel from its shell. This process is very important because the quality and quantity of the palm kernel produced will directly affect the economic value and production efficiency in the palm oil industry. At PTPN IV Regional II Plantation Unit and Adolina PKS, various technical problems were found that caused a decrease in machine performance, including rotor bars and square bars that experienced wear due to age and improper machine settings. In addition, other damage that often occurs is a broken van belt due to age and excessive tension, feeder motor dysfunction caused by excessive load, and motor overheating that occurs due to age and high workload. To overcome these problems, this study uses the Failure Mode and Effect Analysis (FMEA) method. This method aims to identify various potential failures, assess the severity, frequency of occurrence, and detection capability, so that the Risk Priority Number (RPN) value can be calculated as a basis for repair priorities. The results showed that worn rotor bars and worn square bars had the highest RPN values, each at 280, equivalent to 40.23% of the total identified risks. This indicates that these two components are critical points requiring immediate repair and maintenance attention. Applying FMEA in this context provides tangible benefits, including helping the company formulate a more targeted maintenance strategy, reducing the risk of recurring damage, and minimizing downtime that impacts production. With more systematic maintenance, operational efficiency can be improved while extending the lifespan of the Ripple Mill machine.

Women's religious study activities are a form of non-formal religious education that plays a strategic role in the internalization of religious values within the family. This study aims to describe and analyze the implementation of religious values through women's religious study activities and their contribution to family empowerment in Pandan District. This study applies a qualitative approach with descriptive methods. This approach is used to obtain an in-depth picture of the social reality related to the application of religious values in women's religious study activities . The study was conducted in Pandan District with subjects including religious study administrators, female religious teachers , and members of women's religious study activities as referred to by Sugiyono (2019). Data collection was conducted through in-depth interviews with 10 respondents to obtain information related to the implementation process and the impact of religious study activities. Direct observation was also conducted to observe the course of activities. Data analysis was carried out in stages through the process of data reduction, data presentation, and drawing conclusions in accordance with the Miles and Huberman analysis model. The research results show that women's religious study activities serve not only as a means of increasing religious understanding but also as a means of strengthening women's roles in fostering religious, harmonious, and independent families. The continuous implementation of religious values has an impact on improving the spiritual, social, and economic quality of families.

This study aims to examine in depth the influence of financial variables consisting of Current Ratio (CR), Return on Equity (ROE), Debt to Equity Ratio (DER), and Earning per Share (EPS) on Stock Returns in primary consumer sector companies listed on the Indonesia Stock Exchange (IDX) during the 2018–2022 period. This study uses a quantitative approach by utilizing secondary data in the form of annual reports published through the official websites of each company and the Indonesia Stock Exchange page, so that the data used can be accounted for its validity. Sample selection was carried out through a purposive sampling technique with certain criteria resulting in 15 sample companies with a total of 75 observation data which were then analyzed using Eviews 13 statistical software. The analysis focused on partial and simultaneous relationships between variables to determine how much each factor contributed to the movement of Stock Returns. The results showed that the Current Ratio had no significant effect on Stock Returns with a probability value of 0.4079, so that company liquidity in the short term was not a major determining factor for investors. Return on Equity also did not show a significant effect with a probability value of 0.2591, indicating that the company's efficiency in generating profits from shareholder equity has not been a consistent benchmark for investment returns. Conversely, the Debt to Equity Ratio was shown to have a significant negative effect on Stock Returns with a probability value of 0.0053, meaning that the higher the company's leverage level, the greater the risk borne, thus implying a decrease in investor interest and a decrease in returns. Earnings per Share also did not have a significant effect on Stock Returns with a probability value of 0.2989, indicating that although EPS is one of the fundamental indicators, in the context of this research period its effect was inconsistent on the returns received.

The government's efforts to reduce domestic violence (KDRT) in North Maluku Province have been carried out, among others, through the implementation of women’s empowerment programs. This study aims to examine whether the Gender Empowerment Index (IDG), Gross Regional Domestic Product (GRDP) percapita, women's involvement in home-based industries (IR), and the intensity of domestic violence socialization programs have a significant effect on domestic violence rates across districts/cities in North Maluku. This research utilizes panel data regression analysis with data spanning the years 2016–2024. The data were processed using Microsoft Excel and STATA14 software. The findings indicate that the increased participation of women in the economic and political sectors has not yet fully translated into a reduction in domestic violence, largely due to persistent social norms and patriarchal values within households. This suggests that economic factors alone are not sufficient to explain the prevalence of domestic violence. However, women's involvement in home-based industries was found to significantly improve their economic independence and bargaining power within the household. Furthermore, consistent government-led domestic violence awareness campaigns have proven effective in enhancing protection mechanisms for women at risk. In conclusion, the study finds that the Gender Empowerment Index (IDG) and GRDP per capita do not have a statistically significant impact on domestic violence rates. Conversely, women's participation in home-based industries and domestic violence socialization efforts are significantly associated with reductions in domestic violence in North Maluku Province.

Tarakan City as an archipelago with high maritime activity has a significant risk of water accidents, yet students' swimming skills are still low. This study aims to: (1) evaluate the context of swimming learning in the PJOK curriculum, (2) assess input readiness (teachers, facilities, costs), (3) analyze the learning implementation process, and (4) measure learning outcomes related to student skills and safety. The research used a descriptive qualitative approach with the Context, Input, Process, Product (CIPP) evaluation model. Data sources include principals (4 people), physical education teachers (4 people), and students (16 people) from four junior high schools in Tarakan City. The research instruments were semi-structured interview guidelines, observation sheets, and curriculum document analysis. Data collection techniques were conducted through participatory observation, in-depth interviews, and documentation studies. The data were analyzed qualitatively using cost and benefit analysis techniques to identify the suitability of the program to the needs. The results show that the context of swimming learning is in accordance with the curriculum, but the swimming pool facilities depend on public facilities with limited access. The learning process is in accordance with the lesson plan, but the practice time (2 times/semester) is not sufficient to master the skills. Product evaluation results indicated a good understanding of water safety theory, but low practical swimming skills. Recommendations: (1) Increased frequency of swimming practice, (2) collaboration with local government for the provision of school swimming pools, and (3) teacher training in adaptive teaching methods for beginner students.

This study examines the role of smart technology, particularly Artificial Intelligence (AI) and the Internet of Things (IoT), in strengthening economic resilience in the face of climate change impacts. Using a qualitative descriptive approach with a literature stufy method, secondary data was obtained from scientific journals, books, proceedings, and relevant online articles. The analysis was conducted through reduction, categorization, and thematic analysis of the relevant literature. The results show that AI contributes significantly to improving economic efficiency and risk prediction compabilities. While IoT strengthens connectivity and automation that support supply chain stability, the intregration of AI and IoT in the agricultural sector significantly increases productivity and food security. In addition, smart technology is also an effective mitigation tool against exctreme climate variations that impact the economy and society. This study emphasizes the importance of cross-sector collaboration and digital infrastructure investment to build adaptive and sustainable economic resilience. The implication of this research provide a basis for policy strategies and digital innovation in an era of increasing dynamic climate change.

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.

In the dynamic and exciting technology startup industry uncertainty , management project device soft need approach adaptive and responsive to risk . This study explores synergy between Scrum methods and management risk in increase success project at PT XYZ, a startup that implements the Agile-Waterfall hybrid model. Qualitative methods with studies case and analysis descriptive used for digging practice management integrated risk informally in Scrum processes, such as Sprint planning and retrospectives, with support tool collaborative such as Trello and spreadsheets. The results show This synergy increases identification and mitigation risk , collaboration team , and success project in a way technical and managerial . However , the challenges Still found in the documentation risks and the roles of the Scrum Master and Product Owner that need to be considered reinforced . This study recommends development documentation more standardized risks and strengthening role the key to increasing Agile maturity and resilience projects in the technology startup environment

Effectiveness is a fundamental component that functions to achieve the goals and objectives that have been set in an organization or program. BPJS organizes the Work Accident Insurance (JKK) program to provide protection and a sense of security to workers against the risk of work accidents in the form of financial support. This research was conducted using a qualitative approach, using data collection techniques in the form of interviews, field observations, and documentation reviews. The data analysis process includes the stages of data reduction, information presentation, and drawing conclusions. To ensure the validity of the data, this study uses a triangulation method that includes source triangulation, technique triangulation, and time triangulation. The findings of this study indicate that in general the implementation of the work accident insurance program at BPJS Ketenagakerjaan has been carried out effectively, in accordance with the three main indicators of effectiveness used as references in this study. However, in the indicator of achieving program objectives, there are still several targets that have not been fully realized. Therefore, it can be concluded that the Work Accident Insurance program at the BPJS Ketenagakerjaan Cilandak Branch Office, South Jakarta, has shown good effectiveness, although there is still room for improvement, especially in terms of achieving program objectives as a whole.

This study aims to determine the influence of company size, sales growth, independent operating costs on financial performance as measured byreturn on asset(ROA) in cosmetic companies listed on the Indonesia Stock Exchange (IDX) in 2019-2024. This research is a quantitative research, namely data in the form of numbers. The data source in this study is secondary data, namely data that is not obtained indirectly, data obtained from annual reports obtained from the company's website or from the official website of the Indonesia Stock Exchange. The population in this study is all cosmetic companies listed on the Indonesia Stock Exchange totaling 7 companies. The sample of this study uses saturated sampling where all members of the population are used as samples and the sample in this study is 42 samples. The analysis method in this study uses multiple linear regression analysis which is processed using the programSPSS versi 26.0 for windows. The results of this study indicate that company size significantly affects financial performance (ROA), sales growth does not affect financial performance (ROA), while operational costs significantly affect financial performance (ROA).

A landslide that occurred on May 24, 2024, in Pekon Datarajan, Ulubelu District, Tanggamus, Lampung, caused significant disruption to provincial road access and resulted in material losses. This study aims to assess the post-failure slope stability through field geotechnical investigation and numerical analysis using the Limit Equilibrium Method (LEM), and to propose immediate countermeasures. The slope materials consist of MH (inorganic silt) and ML (elastic silt) with high moisture content and moderate to high swelling potential. The lithology is dominated by montmorillonite clay, which has hygroscopic characteristics, making it highly vulnerable to water infiltration that reduces shear strength and increases the risk of slope failure. Stability analysis indicates a post-failure factor of safety (FoS) of 1.36 (static loading) and 1.03 (dynamic loading), which decreases to 1.07 beneath raised groundwater conditions. Recommended immediate mitigation includes surface runoff control, the construction of impermeable drainage systems, the sealing of cracks using impermeable materials, and the installation of temporary slope reinforcements such as sheet piles. The implementation of these measures increased the FoS to 1.61 (static loading) and 1.16 (dynamic loading). This study provides a technical basis for the rapid and effective mitigation of landslides in areas with similar geological and hydrological conditions.

The development of e-learning platforms has transformed the landscape of education by providing flexible and accessible learning methods. However, security threats targeting web-based applications pose significant risks to the confidentiality, integrity, and availability of academic data. This research aims to analyze the security vulnerabilities of the ILMU2 e-learning website at UPN “Veteran” Jawa Timur using the Web Application Security Project Zed Attack Proxy (OWASP ZAP) methodology. The study applies a black-box testing approach to simulate attacks and identify potential weaknesses in the website's security mechanisms. Expected findings include the identification of vulnerabilities such as cross-site scripting (XSS), SQL injection, and security misconfigurations. The results are intended to provide insights for improving the security posture of the ILMU2 platform and contribute to the broader discourse on securing educational technology in higher education institutions.

This study employs Return On Investment (ROI) as a key metric to evaluate the financial performance of PT Astra Agro Lestari Tbk. The selection of ROI is justified by its capacity to comprehensively assess the efficiency of the company's total operational assets in profit generation. Utilizing a descriptive research design, the analysis is based on secondary data extracted from the company's financial statements available through the Indonesia Stock Exchange. The research reveals that PT Astra Agro Lestari Tbk achieved an ROI of 78%, indicating superior efficiency in investment management. These empirical findings provide valuable insights for corporate management to formulate strategic decisions aimed at enhancing future operational performance.

This study aims to determine the effect of leverage on financial performance and the effect of financial distress risk on the relationship between leverage and financial performance. The population in this study is several oil, gas, & coal sub-sector companies listed on the Indonesia Stock Exchange in 2020, 2021, 2022, and 2023. This study uses secondary data. The sampling technique uses the simple purposive sampling method, resulting in 57 companies as samples for 4 years. This study uses Moderated Regression Analysis as the data analysis technique. The results of the study show that leverage has a negative effect on financial performance, and financial distress risk is able to strengthen the relationship between leverage and financial performance.

Malaria remains a significant public health issue both globally and in Indonesia, particularly affecting high-risk groups such as infants, young children, and pregnant women. The increasing incidence of malaria is closely linked to environmental and behavioral factors. This study aims to examine the relationship between community behavior and environmental conditions with malaria incidence at the Arso City Health Center, Keerom Regency. A quantitative, cross-sectional design was used, allowing analysis of variables at a single point in time. The sample was selected through simple random sampling based on inclusion and exclusion criteria. Findings revealed that there is no significant relationship between the habit of going outside the house and malaria incidence (p = 0.07). However, there is a significant relationship between the use of mosquito repellent and malaria incidence (p = 0.000). Similarly, using mosquito nets and gauze also showed a significant relationship with reduced malaria cases. Environmental aspects such as mosquito breeding sites and unsealed house walls were also found to be significantly associated with malaria occurrence. These results suggest that both behavioral factors—particularly protective measures—and environmental conditions contribute to malaria transmission in the community. Public health efforts should prioritize education on preventive behaviors and improvements in living environments to reduce malaria risk.

Machine translation (MT), especially neural machine translation (NMT) technology, has made significant progress in producing more natural and fluent translations. However, this technology still faces major challenges related to cultural sensitivity, where idiomatic, philosophical, and social contextual meanings often fail to be captured accurately. Through a qualitative literature review, this article examines the main challenges faced by machine translation in understanding and reproducing cultural nuances. The analysis shows that NMT systems have limitations in translating philosophical terms and idioms, tend to be biased due to the dominance of English-language data, and ignore the metalinguistic awareness of humans. Failure to capture these cultural dimensions not only risks losing the authentic meaning of the message but can also accelerate the loss of local languages. This study concludes that the role of humans remains irreplaceable in translating highly cultural texts. Therefore, a hybrid approach that combines technology with human intervention ( human-in-the-loop ) and the development of models trained with more culturally diverse data is recommended to produce inclusive and ethical translations.  

PT. XYZ  applies Information Technology in business processes to achieve company goals. achieve company goals. However the use of Technology brings risks that can reduce business effectiveness and efficiency of the business. PT. XYZ faced several problems in its IT department, including network connectivity issues, human error, hardware failure, ERP system integration failure, data security, and human error, hardware failure, ERP system integration failure, data security, data backup failures, system downtime, and power outages. This research applies data collection methods through interviews and risk analysis, evaluating the steps taken by the company in managing IT risks systematically. Research results show that the application of the COBIT 5 Framework is effective in identifying, assessing, and managing IT risks, thus helping the company to minimize losses and ensure smooth operations. This research provides recommendations for improved risk management that is more structured and data-driven risk management, as well as the importance of training for IT staff to improve risk management capabilities in the company. improve risk management capabilities in the company.

Eye fatigue is a common condition often experienced by workers in the textile industry when their eyes feel very tired due to prolonged and continuous use in low light conditions. Among textile workers in Dalangan Village, Tawangsari, Sukoharjo, 100% of the 10 respondents experienced eye fatigue due to insufficient lighting intensity that did not meet the standard (300 Lux). This study aims to investigate the relationship between lighting intensity and eye fatigue among textile workers in the central textile industry in Dalangan Village, Tawangsari, Sukoharjo. This is a quantitative study using observational analysis with a cross-sectional approach. Lighting intensity was measured using a lighting measurement observation sheet with a Lux Meter, while eye fatigue was measured using a questionnaire. The study population consisted of 35 workers, and the sample was selected using total sampling. Based on the results of the chi-square test analysis, a significant relationship was found between lighting and eye fatigue among textile workers, with a p-value of <0.05 and a p-value of 0.039. The analysis yielded a PR value of 0.727, meaning that respondents with inadequate lighting have a 0.727 times higher risk of experiencing eye fatigue compared to respondents with adequate lighting. We recommend that weaving workers pay more attention to eye health and ensure that the lighting levels used comply with standards.