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Occupational health and safety (K3) is an effort to protect things that are dangerous so that everyone in the work environment is always safe and healthy. Creating a safe and healthy work environment can minimize the occurrence of accidents or accidents that can cause prolonged absences from work and significant costs for the company. Injured or sick workers can hinder productivity and disrupt work. The implementation of work safety basically aims to find weaknesses that exist and the possibility of accidents occurring in the work environment. This function consists of finding the cause and effect of an accident and investigating whether it is controllable or not. Labor productivity is a very important factor for companies, because the higher labor productivity, the more production or work results that can be provided in a certain time. To achieve maximum productivity, other things that are still related to labor productivity must also be considered. Among them are job opportunities, work motivation, work efficiency and effectiveness, work ability, as well as experience and knowledge that support the work process. Measurement of labor productivity is based on a system of physical income per person or hours worked per person based on working time or in days or years. By making these measurements, it is converted into work units, namely. into the amount of work that can be completed by employees working according to implementation standards in one hour. In short: The adoption of occupational health and safety in the workplace is an important factor in increasing the productivity and success of the entire enterprise. With the implementation of OSH it is possible to prevent work-related accidents and injuries, prevent employee absenteeism, which increases job satisfaction and creates competitive advantages that can lead to future employee success.  

Ship stability problems are one of the causes of ship accidents such as ships that are difficult to control, unbalanced and sinking, either at sea during shipping or during loading and unloading. This is the background for the need to improve ship safety systems to reduce ship accidents. The purpose of this research is to accurately monitor the loading and unloading slope and determine the maximum distance that can be connected to LoRa. The working system of this tool is made with the intention of preventing ship accidents and creating a better sea transportation system. The work process of this tool is done by reading the tilt angle of the ship which will then be read through the LCD screen and the LED lights will light up and the buzzer will sound if it reaches a certain tilt angle. Making it easier for loading and unloading operators to manage their cargo so that the ship remains stable.The methodology and design of the applied scientific work tool system that will be carried out using experimental research methods. Experimental research methods are used to produce certain products, and test their effectiveness. The results of research on this applied scientific work are the accuracy of the gyroscope sensor GY-521 mpu-6050 which is 98.71% with an error of 1.29% and the distance of LoRa Ra-02 SX1278 that can be reached on a stable wireless system is as far as 370m in water and 205m on land. More than that the receiver cannot receive data anymore or is invalid.

Corporate governance, audit committee, and audit quality are important factors that can influence company performance. Good corporate governance can create an effective internal control system, increase transparency and maintain company accountability. The audit committee, as part of corporate governance, plays a role in overseeing the financial reporting process, evaluating the internal control system, and monitoring external audit performance. High audit quality can increase stakeholder confidence in the company's financial reports and provide guarantees for the accuracy and reliability of financial information. This research aims to analyze the influence of corporate governance, audit committee, and audit quality on company performance. Corporate governance variables are measured using corporate governance scores, while audit committee variables are evaluated based on the characteristics and effectiveness of the audit committee. Audit quality is assessed by the reputation and experience of the external auditor. Meanwhile, company performance is measured using financial ratios such as return on assets (ROA) and return on equity (ROE). This research uses data from companies listed on the Indonesia Stock Exchange (BEI) during a certain period. Data analysis was carried out using the multiple linear regression method to test the influence of independent variables on the dependent variable. It is hoped that the findings of this research will contribute to the development of corporate governance practices, audit committee management, and improvement of audit quality in Indonesia, as well as provide insight for companies in efforts to improve their financial and operational performance.

Improving the quality of education in Indonesia can be developed through the implementation of educational reform. One form of educational reform can be carried out by using a learning approach that can help teachers produce experts using the STEM (Science, Technology, Engineering, and Mathematics) approach. Initial findings reveal that only around 47.8% of SMA N 2 Medan students (class This research aims to see the effectiveness of the STEM approach in improving the critical thinking skills of SMA N 2 Medan students. The research method used is an experimental design with Non Equivalent Control Group Design. The research subjects were students of SMA N 2 Medan. The results showed that the sig (2-tailed) Equal variances value was assumed to be 0.000 < 0.05. Therefore, Ho is rejected and Ha is accepted, which means there is a significant difference in critical thinking abilities after students use the Equal variance method. The STEM-PBL approach, compared with the innovative K13 approach. The average critical thinking skills scores of the control class in the pre-test and post-test were 38 and 79.5. The coefficient remains at 0.676 and is significant at 0.000. This means the correlation is positive. Therefore, learning with a STEM approach has proven to be effective in improving the critical thinking skills of SMA N 2 Medan students.  

This research focuses on the transformation of risk control and monitoring policies conducted by Bank Indonesia over the past five years (2018-2023). It uses qualitative analysis methods to examine the evolution of Bank Indonesia's policies through publications of financial institutions such as Bank Indonesia, OJK, and BPK. This study shows that policy impact evaluation plays an important role in identifying areas of improvement and new solutions to enhance policy effectiveness. Bank Indonesia adjusts strategies responsively and proactively to keep up with financial market dynamics and technological developments, and integrates the principles of international standards in banking supervision and risk management. Synchronizing policies with international standards is a top priority for maintaining the credibility of global markets. In facing the challenges of global economic change, technological innovation, and dynamic regulations, Bank Indonesia is committed to conducting in-depth reviews and policy adjustments to face the future. The evolving approach allows Bank Indonesia to strengthen its role in maintaining financial system stability and promoting sustainable economic growth. This research provides insights into Bank Indonesia's successes and challenges in transforming its risk control and monitoring policies.

This research aims to determine Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate on Gross National Income (GNI) in Estonia, Finland, Germany, Hungary, and Norway. The variables in this research are Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate as independent variables, while the Gross National Income variable is the dependent variable. This research uses secondary data taken from the OECD from 2011-2023. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the country that is able to become a leading indicator for the stability of the GNI rate is only Norway. This is because all the variables or indicators in the research, namely (Renewable Energy, Life Expectancy, and Unemployment Rate), this country has a significant effect on GNI. while the Emission Intensity variable does not have a significant effect on GNI. If we look at the stability of the short run and long run, the Unemployment Rate variable, both in the short and long term, significantly controls the stability of GNI.    

This research aims to analyze ambient air quality in the city of Surabaya, with a focus on four main locations: industry, transportation, offices and residential areas during two different periods, the dry season and the rainy season in 2023. This analysis is important for assessing the influence of urbanization and industrial activity. to the environment and public health. The method used is descriptive and comparative observational, where measurements are made of main pollutant parameters such as SO2, CO, NO2, O3, Pb, NMHC, PM10, PM2.5, and TSP. Sampling was carried out twice at each location, in accordance with SNI 19-7119.6-2005 and PPRI No. 22 of 2021 standards. The research results showed that the concentrations of all pollutants were below the specified threshold, indicating the effectiveness of existing air control policies. However, there are differences in pollutant concentrations between locations and significant seasonal changes, requiring more dynamic and tailored pollution management strategies. The study's conclusions suggest the importance of continuous monitoring, increased green space, public education about pollution, as well as stricter policies to control pollutant emissions. This research provides valuable empirical data for policy makers to develop effective strategies for managing air quality and reducing health risks in Surabaya..

This article discusses the management of labor costs in the public sector with a focus on the management of non-permanent employees (PTT) and outsourcing alternatives. This research highlights problems in personnel management, especially employee expenditure costs that must be borne by government agencies. This study reviews cost control systems, labor costs, and methods for managing honorary staff costs in government. The findings show that outsourcing is more efficient than recruiting PTT or temporary workers as a solution to control labor costs. Additionally, this paper recommends Activity Based Costing (ABC) method for public sector organizations to provide valuable information related to detailed cost data. This research shows that decentralizing recruitment in local governments can improve efficiency, effectiveness and fairness, but can also lead to corruption and disparities in the distribution of human resources. Cost control, outsourcing, and the use of Activity-Based Costing (ABC) can help public sector organizations manage costs and increase operational efficiency. To achieve better governance, operational efficiency and effective cost control, public sector organizations need to consider the various strategies and methods described in this research.

Effective teaching-learning activities are also supported by several aspects such as teaching methods, teaching strategies, learning models , and so on. In this study, we know the extent of the effectiveness of problem-solving learning compared to ordinary learning. Based on the research conducted, the results obtained that concluded the Problem-Solving learning mode proved effective in improving students' mathematical problem-solving abilities. Data analysis for this study used a t-test in this case obtained an average difference from the experimental class group given treatment using Problem-Solving learning and non-problem Solving class groups. The calculation results obtained a t count value (th) of 2.824 for the experimental class and 2.819 for the control class, with the table t value for db 68 sig 5% If consulted in the t table obtained 1.990 then based on the t-test criteria it can be concluded that the t value Count more than t table with GIS greater than SIG alpha by 5%, it can be concluded that count t > t table can be decided to test the hypothesis I that null hypothesis is rejected and alternative hypothethetics are accepted, in this case, there is a significant difference between students' mathematical problem-solving ability between the group of students taught using the Problem-Solving method and the group of students taught without using the Problem-Solving model.

This study aims to analyze the influence of human resource (HR) quality on the implementation of internal control systems at PT. Avia Avian. The background of this study is based on the importance of the role of quality HR in supporting the effectiveness of the implementation of internal control systems in companies. An effective internal control system is essential to maintain integrity, efficiency, and compliance with applicable regulations. The purpose of this study is to identify and analyze how HR quality can affect the implementation of internal control systems in companies. The method used in this study is a quantitative approach using a survey of employees in various departments of PT. Avia Avian. The data obtained were analyzed using regression techniques to examine the relationship between HR quality variables and internal control systems. The findings of the study indicate that there is a significant influence between HR quality and the implementation of internal control systems, where the better the quality of HR, the more effective the implementation of internal control systems. The implication of this study is that companies need to pay attention to improving HR quality as a strategic step to strengthen the existing internal control system, which in turn can improve the company's performance and compliance with established standards.Additionally, this research shows that continuous training and employee competency development can strengthen HR quality, which in turn contributes to the effectiveness of the internal control system. Companies that invest in improving HR quality will not only benefit in terms of compliance with regulations but also in enhancing operational efficiency and risk management. Therefore, it is crucial for the management of PT. Avia Avian to continue focusing on HR development to ensure the smooth implementation of internal control systems in accordance with applicable standards. This research contributes to the literature on risk management and internal control by highlighting the crucial role of HR quality in the success of internal control systems.

The study was conducted to determine the effectiveness of scientific approach and video media to improve students’ speaking skill. The aim was to find out significant differences between the experimental class that received treatment and the control class that did not receive treatment. The research was conducted for 4 days at SMPN 32 Semarang with a population of all ninth grade students. Meanwhile, the samples were from IXF as the experimental class and IXG as the control class. There are 30 students in each class who participated. The research is quantitative research and used quasi-experimental method. Instrument of the study was oral test and collected the data used pre-test and post-test. Technique of data analysis used IMB SPSS version 25. After 4 days of treatment, the average student learning outcomes were very significant. The Mean score of control class is 63.2 and experimental class is 80.9. The average score of the control class is lower than the experimental class, which means that te control class showed a slight improvement after the learning process without using a scientific approach and video media. Meanwhile, the experimental class showed significant improvement after the learning process using a scientific approach and video media. The results have been processed through SPSS and produced significant differences between the control class and the experimental class. So, it can be conclude that a scientific approach and video media are effective to improve students’ speaking skill.  

This study explores the impact of peer-mentoring programs on vocational high school (SMK) students, focusing on academic resilience, dropout rates, and overall academic performance. The research compares the outcomes of students in schools with and without peer-mentoring programs. The findings indicate that students participating in peer mentoring exhibited significantly lower dropout rates (12%) compared to those in the control group (22%). Additionally, the continuation rate for students in the experimental group was higher (88%) than in the control group (78%). Academic performance was also positively affected, with an average score of 75 for the experimental group, compared to 65 for the control group. Statistical analysis confirmed the significance of these differences, highlighting the positive effects of peer-mentoring programs. The study suggests that peer mentoring not only enhances academic performance but also contributes to improved student retention by providing emotional and social support. The results underscore the importance of well-structured mentoring programs, including effective mentor training and proper matching between mentors and mentees, to maximize the benefits for vocational students.

The rapid development of smart city initiatives has significantly increased the adoption of Internet of Things (IoT) technologies to enhance urban services, infrastructure efficiency, and quality of life. However, the large-scale deployment of interconnected IoT devices also introduces critical cybersecurity challenges, including unauthorized access, data breaches, and system vulnerabilities. This study aims to develop an integrated IoT security management model to improve cybersecurity resilience in smart city environments. The research adopts a Design Science Research (DSR) approach, which involves problem identification, literature analysis, model design, implementation, and evaluation. The proposed model incorporates key security components such as Identity and Access Management (IAM), device authentication, secure communication through encryption, firmware and patch management, and continuous monitoring with intrusion detection mechanisms. The model is evaluated through simulation in smart city scenarios, including transportation systems, environmental monitoring, and energy management. The results demonstrate significant improvements in security performance, with increases in threat detection rate, vulnerability reduction, access control effectiveness, and system stability under attack conditions. Quantitative analysis shows improvements of up to 37% compared to conventional approaches, indicating the effectiveness of the proposed model in mitigating IoT-related cybersecurity risks. This study contributes by providing a comprehensive and scalable framework for IoT device security management, which can be applied to enhance the reliability and sustainability of smart city systems. Future research is recommended to validate the model in real-world implementations and integrate advanced technologies such as artificial intelligence for predictive threat detection.

This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.

Urban workers are increasingly vulnerable to heat stress due to rising global temperatures, especially in cities affected by the Urban Heat Island (UHI) effect. This heat stress poses significant risks to worker health and productivity, exacerbating health issues such as dehydration, heat exhaustion, and heat stroke, while also reducing work efficiency. The study aims to assess the effectiveness of green rooftop designs as a mitigation strategy for heat stress in urban workplace environments. Green rooftops are increasingly seen as a sustainable solution for urban heat management, offering benefits in temperature regulation, energy efficiency, and overall worker well-being. This study examines various heat stress mitigation strategies, including green roofs, industrial fans, and shading systems, focusing on their comparative effectiveness in reducing temperatures and improving worker comfort. The research involved environmental temperature measurements inside and outside urban workplaces, the use of wearable heat sensors to monitor workers’ heat stress levels, and building energy simulations to predict the impact of green rooftops on indoor climate control. Results indicate that green rooftops reduced workplace temperatures by an average of 3.8°C and decreased heat-stress-related complaints by 35%. In comparison to industrial fans and shading systems, green rooftops provided superior long-term relief, reducing heat stress and improving both worker productivity and environmental quality. The findings support the integration of green rooftops into urban workplace designs as a viable climate adaptation strategy. Future research should explore optimizing green rooftop designs for different climates and assessing their long-term benefits for worker health and urban resilience.

This research discusses the House of Representatives' (DPR) Right to Inquiry against the Corruption Eradication Commission (KPK) in the context of constitutional law in Indonesia. The right to inquiry is one of the control instruments possessed by the DPR to monitor the performance of state institutions, including the Corruption Eradication Commission. However, the application of the right to inquiry against the Corruption Eradication Committee has given rise to a number of debates regarding its authority and limitations in the constitutional justice system. This research analyzes the constitutional and regulatory basis regarding the DPR's right to inquiry against the KPK, as well as its impact on the independence and effectiveness of the KPK in eradicating corruption. By considering a constitutional law perspective, this research also evaluates the political and legal implications of implementing the right to inquiry against the Corruption Eradication Commission in the context of the system of monitoring and eradicating corruption in Indonesia.

Cloud-based resource allocation and VM/container orchestration play a crucial role in ensuring performance, scalability, and energy efficiency in modern distributed computing environments. This study investigates the effectiveness of centralized and decentralized scheduling models combined with heuristic and optimization-based allocation strategies in container-based cloud infrastructures. A quantitative experimental approach was employed to evaluate system performance under varying workload intensities. Key evaluation metrics included response time, throughput, resource utilization, SLA violation rate, and energy consumption. The experimental results indicate that centralized scheduling mechanisms experience scalability limitations and increased latency under high workload conditions. Although optimization-based allocation improves performance within centralized architectures, coordination bottlenecks remain significant. In contrast, decentralized scheduling models demonstrate superior adaptability, reduced response time, and improved throughput due to distributed decision-making and reduced control overhead. The integration of intelligent optimization techniques further enhances resource utilization and energy efficiency, achieving the lowest SLA violation rates and highest system stability. Overall, the findings confirm that combining decentralized scheduling with optimization-driven resource allocation provides a more scalable and sustainable orchestration strategy for modern cloud environments. This approach is particularly suitable for dynamic, large-scale, and latency-sensitive applications in container-based and edge-integrated cloud systems.

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.

Problem/Background: Public order and community peace is a description of a situation where people can carry out their daily activities in a calm, orderly and controlled manner, thus supporting the achievement of sustainable development in an area. There are many problems related to public order and peace, one of which occurs in Gorontalo City itself. In Gorontalo, there have been various violations of public order and order, such as violations of loose animals, violations of residence permits, street vendors, distribution of alcoholic drinks, violations of population management, vagrancy, beggars and street children, as well as perverted couples. boarding house. And the most frequent cases in Gorontalo City are violations related to the distribution of alcoholic drinks and exploitation of couples in boarding houses. Objective: The aim of this research is to find out how effective Satpol PP is in ensuring public peace and order i\\n Gorontalo City. Method: The method used in this research is a qualitative descriptive method, where an overview of facts and information in the field is obtained through data collection techniques, namely. observation, interviews and documentation. The sampling technique used purposive sampling and snowball sampling. Results/Findings: The results of this research indicate that maintaining public order and tranquility at the Gorontalo Satpol PP has not been effective. There are many influencing factors, such as the many inhibiting factors found during research.

This study aims to analyze the effectiveness of monetary policy in controlling inflation in Indonesia. It uses variables such as inflation, money supply, economic growth, interest rates, exchange rates, and the consumer price index. The data analysis model in this study uses Vector Autoregression (VAR), as seen from the Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) analyses. This study uses secondary data from 2000 to 2023. The VAR results show that in the short, medium, and long term, inflation has a significant effect on the consumer price index in the short, medium, and long term. The money supply in the short term is influenced by the consumer price index, while in the medium and long term, the money supply is influenced by inflation.