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This study investigates the connection between Environmental, Social, and Governance (ESG) factors that can impact a company's financial and operational performance. The research looks at how stakeholder and legitimacy theories can help explain the effects of the variables used in the study. Additionally, the study makes a unique contribution to the existing research on ESG and performance by examining the link between ESG and firm performance over ten years. Furthermore, the study explores the relationship between ESG and operational performance in SMEs in Guizhou. This provides valuable insights into how ESG can impact the performance of SMEs. ESG provides a comprehensive framework for businesses and investors to address environmental, social, and corporate governance issues. It promotes integrating economic and social benefits for sustainable corporate management and financial investment development. The number of respondents for this study was 380 enterprises from Guizhou. The results of this study show that parents’ purchase intention on training courses for their children would be impacted by their transformational leadership, organizational innovation, and social capital.

In the era of digital communication, access speed and data security are crucial. The study evaluated network topology, focusing on tree topology using simulations with Cisco Packet Tracer. Tests highlighted stability, latency, throughput, and bottleneck potential. Data transmission time information is key in assessing network performance. Test results are important for optimizing performance and identifying areas of improvement in the network. In conclusion, monitoring network performance is an important step for operational efficiency and security.    

The advent of 5G technology has marked a significant shift in the telecommunications industry, offering transformative improvements in service speed, latency, and network reliability. This study explores the impact of 5G on operational efficiency and service innovation in telecom companies. By examining the operational performance of three leading telecom companies that have implemented 5G networks, the research identifies key improvements in speed, cost reduction, and resource optimization. The findings highlight that 5G has enabled companies to achieve up to 100 times faster data transfer speeds compared to previous generations, drastically reducing latency and enhancing network reliability. These improvements contribute to increased customer satisfaction, faster response times, and reduced operational costs. Additionally, the integration of artificial intelligence (AI) for network management has optimized resource allocation and further enhanced the efficiency of telecom operations. The research also demonstrates how 5G has driven innovation in service offerings, such as enabling smart cities, IoT integrations, autonomous vehicles, and real-time patient monitoring in healthcare. While the deployment of 5G offers numerous benefits, the study acknowledges challenges such as high infrastructure costs, digital inequality, and regulatory hurdles. Telecom companies must invest significantly in infrastructure and navigate complex regulatory environments to fully realize the potential of 5G. The study concludes that 5G technology has the potential to reshape the telecom sector, fostering greater competitiveness, service quality, and innovation. Future research should focus on the long-term impact of 5G on customer loyalty, its expanded applications, and its role in advancing future technologies such as 6G.

The rapid growth of big data has significantly increased the demand for efficient and scalable data processing methods, particularly within cloud computing environments. This study aims to evaluate the effectiveness of distributed computing frameworks, specifically Apache Hadoop and Apache Spark, in optimizing big data processing. A qualitative approach using a Systematic Literature Review (SLR) method is employed to analyze existing studies related to distributed systems, cloud computing architectures, and performance optimization techniques. The analysis focuses on key performance indicators, including processing speed, resource utilization, and scalability, as well as the suitability of each framework for different data processing scenarios. The findings indicate that Apache Hadoop is highly effective for batch processing and storage-intensive tasks due to its disk-based architecture, while Apache Spark demonstrates superior performance in real-time and iterative processing through its in-memory computing capabilities. Additionally, system configuration factors such as cluster size, memory allocation, and network bandwidth are identified as critical elements influencing overall performance. The study also highlights emerging trends, including the adoption of hybrid cloud environments, the integration of artificial intelligence and machine learning, and the utilization of edge computing to enhance real-time data processing. In conclusion, distributed computing frameworks play a vital role in improving the efficiency and scalability of big data processing in cloud environments. The selection of an appropriate framework, combined with optimized system configuration, can significantly enhance operational performance and support data-driven decision-making.

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.

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.

This study explores the use of graphene-based nanofluids in enhancing the performance of solar-powered desalination systems. A laboratory-scale desalination system was developed to simulate the evaporation process, powered by solar energy, with the integration of graphene-based nanofluids to improve thermal efficiency. The experimental setup measured evaporation rates, energy consumption, and temperature profiles under varying solar radiation conditions (400–800 W/m²). Results revealed that the system with nanofluids demonstrated up to a 35% increase in evaporation rates compared to the baseline system without nanofluids, indicating enhanced heat transfer properties. Moreover, energy consumption was reduced by up to 20%, highlighting the improved energy efficiency of the system with nanofluids. The system with nanofluids exhibited higher temperatures in the evaporator, confirming more effective thermal utilization. Statistical analyses, including t-tests and regression analysis, confirmed the significant impact of nanofluids on both evaporation rates and energy consumption. This study demonstrates that graphene-based nanofluids offer a sustainable and energy-efficient solution for solar-powered desalination, particularly in areas with abundant solar radiation. The integration of nanofluids not only enhances the efficiency of the desalination process but also reduces operational costs, making it a promising alternative for addressing water scarcity in a sustainable manner. Further research is needed to optimize nanofluid formulations and assess their long-term feasibility for large-scale applications.

This study explores the application of green hydrogen technology for industrial decarbonization, focusing on its techno-economic and environmental feasibility. A quantitative approach was used, incorporating system modeling of a solar-based hydrogen production system combined with electrolyzers. The techno-economic assessment involved calculating the Levelized Cost of Hydrogen (LCOH), estimating capital and operational expenditures (CAPEX and OPEX), and evaluating the system's energy efficiency and hydrogen output. The environmental impact was analyzed using Life Cycle Assessment (LCA), comparing the carbon footprint of green hydrogen with fossil-based hydrogen. The results reveal that green hydrogen can reduce carbon emissions by up to 60% compared to fossil hydrogen, primarily due to the use of renewable energy for production. Additionally, the study found significant improvements in energy efficiency as electrolyzer performance and solar capacity increased. The LCOH is expected to decrease steadily as solar panel and electrolyzer prices continue to fall, enhancing the competitiveness of green hydrogen in the energy market. The findings also highlight the potential for heavy industries, such as cement and steel production, to transition from fossil fuels to green hydrogen, contributing to a cleaner industrial energy mix. This transition presents both environmental and economic benefits, with long-term savings from reduced fossil fuel dependency and lower production costs.

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.

The purpose of writing this analysis is to investigate the financial performance achievements of Bank Syariah Indonesia (BSI) and Bank Muamalat in the Maqashid Syariah Index, with a focus on profitability, liquidity, asset growth, operational efficiency and sustainable service. The research method used is a literature study, which involves collecting and analyzing data from various relevant and reliable literature sources, including public financial reports, academic books, scientific journals, and other official documents. The research results show that both banks have demonstrated a strong commitment to sharia principles in their operations, with adequate performance in key aspects such as profitability, liquidity, asset growth, operational efficiency and sustainable service. Thus, this analysis provides an in-depth understanding of the contribution of BSI and Bank Muamalat to a sharia-based economy and achieving sharia goals in a broader context.    

Tjiwi Kimia Tbk Paper Factory, the world's leading producer of pulp, paper and paper products, has an important role in the national economy. Financial ratio analysis highlights a company's financial health, focusing on liquidity, solvency, activity, and profitability. The aim of this research is to understand and assess the company's financial health and measure overall financial performance. From this research, it can be seen that ratio analysis shows liquidity fluctuations, a significant decrease in profitability, and a lack of efficient use of assets. Although the company's solvency remains maintained, the main challenge lies in operational efficiency and profit growth in proportion to the increase in assets. In conclusion, a more effective strategy is needed in debt management, increasing operational efficiency, and optimizing asset use to improve overall company performance

In the literature study related to evaluating the efficiency and profitability of Islamic insurance through financial statement analysis, previous studies highlighted various methods and approaches used to measure the performance of Islamic insurance companies. Financial statement analysis is the main focus in identifying factors that affect the operational efficiency and profitability of Islamic insurance companies. Some studies have used traditional financial ratios such as solvency, liquidity, and profitability ratios to evaluate the performance of Islamic insurance. However, due to the unique characteristics of Islamic insurance, studies have also proposed the development of specific metrics that take into account sharia principles, such as sharia compliance ratios and fairness ratios. In addition, non-financial approaches such as technical efficiency and allocative efficiency analysis have also been used to evaluate the operational efficiency of Islamic insurance. This research shows that factors such as scale of operations, business diversification, and managerial efficiency can contribute to the efficiency performance and profitability of Islamic insurance companies. Although there have been many studies conducted in this domain, there is still a need for more in-depth follow-up research to better understand the factors that influence the efficiency and profitability of Islamic insurance. With a better understanding of the performance of Islamic insurance companies, regulators and practitioners can develop more effective strategies to improve the stability and growth of this industry.

This study explores the role of Management Audit in controlling the Efficiency and Effectiveness of the Financial Function at PT Bank Mandiri (Persero). Management audit plays an important role in evaluating the performance of management and internal control systems in an organization. By conducting periodic management audits, PT Bank Mandiri can identify potential problems, weaknesses, and opportunities for improvement in financial management so as to improve performance and reduce potential risks. The findings suggest that Management Audit is not only important to ensure compliance with internal regulations and policies but also to optimize resource utilization, identify profitable investment opportunities, and minimize financial risks. This serves as a strategic instrument in supporting the achievement of company goals and maintaining overall business continuity.This paper delves deeper into the importance of Management Audit in maintaining the financial health and business continuity of PT Bank Mandiri in the midst of the evolving dynamics of the banking industry. The analysis conducted, among others, examines management audit practices implemented by banks, challenges faced, and recommendations for improving the effectiveness of management audits to support the achievement of optimal financial and operational goals at PT Bank Mandiri.

The aim of this research is to determine and assess the level of health of the company PT Semen Indonesia TBK as one of the companies in Indonesia and to measure its overall performance, so that the company can shine and be useful improve its quality. This research uses quantitative methods. This assessment tool is an adaptation of the Liquidity Ratio, Solvency Ratio, Profitability Ratio methods.The object of this research is the company PT Semen Indonesia TBK. This research method uses a quantitative descriptive method. The results of the research found that there was a decline in 2023 in the Quick ratio which decreased on a scale below 1, namely 0.949, which means that the company is considered unable to fulfill or pay debts smoothly in the cycle operational, the solvency ratio is in a stable condition because the company can demonstrate its ability to pay its obligations, the profitability ratio is considered very small because the profit received is still far from the 5% scale and it can be said that the profit value is not healthy. It is hoped that PT. Semen Indonesia Tbk can pay attention to and analyze the financial ratios produced based on periodic financial reports, so that PT. Semen Indonesia Tbk can improve its finances significantly

The purpose of this study was to determine the effect of Liquidity, Earning Asset Quality, and Operational Efficiency on the stock price of banking companies. The stock price in the capital market will determine the value of a company, where the performance and health of the company affect its share price, as well as the views of investors.This research is descriptive quantitative research. The population in this study are publicly listed banking companies in Indonesia which are listed on the Indonesia Stock Exchange (IDX) for the 2016-2020 period. The sample used in this study were 20 companies using the purposive sampling method. The data analysis technique used is multiple linear regression, classical assumption test, t test, F test, and the coefficient of determination R Square.The results of the partial test or t test show that Liquidity (LDR) has no significant effect on stock prices, Earning Asset Quality (NPL) has a positive and significant effect on stock prices and Operational Efficiency has a negative and significant effect on stock prices. While the simultaneous test or F test shows that together Liquidity (LDR), Earning Asset Quality (NPL) and Operational Efficiency (BOPO) have a simultaneous effect on stock prices.

The maritime industry, as one of the vital sectors in the global economy, plays an indispensable role in facilitating international trade and the transportation of goods worldwide. However, confronted with challenges of heightened global competition and fluctuations in fuel prices, the industry needs to seek solutions to enhance efficiency and overall performance. This study assesses the application of Lean Management Principles in the maritime industry, emphasizing strategies such as value stream mapping, waste identification, and employee training as crucial for success. Findings reveal potential for enhancing operational efficiency and reducing waste, along with additional benefits such as heightened customer satisfaction and contributions to environmental sustainability. Recommendations for further research encompass case studies on Lean Management implementation in the maritime industry, the development of tailored implementation models, and investigations into the environmental ramifications of Lean Management application. In conclusion, the implementation of Lean Management holds significant promise for improving the performance of the maritime industry and fostering its overall development.

The objective of this study is to assess the financial performance of job training institutions with regards to the attainment of organisational objectives. This study used a qualitative methodology to assess the efficacy of managing financial resources within institutions. It focuses on important financial indicators, including liquidity, solvency, profitability, and efficiency. The study collected and analysed historical financial data from multiple job training institutions to ascertain the correlation between financial performance and the institution's capacity to accomplish its strategic objectives. The research findings indicate that institutions exhibiting robust financial performance are more proficient in conducting training programmes that align with labour market demands, extending the scope of their services, and guaranteeing long-term operational viability. 

This study aims to investigate the influence of macroeconomic factors on the performance of the maritime business in the post-COVID-19 pandemic era. Utilizing a literature review approach, this research analyzes the impact of the COVID-19 pandemic on maritime businesses and its relationship with macroeconomic factors. Prior to the pandemic, the maritime business experienced stable growth, driven by macroeconomic growth and increasing international trade. However, the COVID-19 pandemic has transformed the landscape of the maritime industry by causing a decline in trade volume, increased operational costs, and changes in trade patterns. Macroeconomic factors such as economic growth and market demand dynamics also affect the operational conditions and business strategies of shipping companies. The implications of these findings underscore the need for adaptation and innovation in maritime business practices, including investment in technology and infrastructure, as well as international collaboration to address the challenges faced. Future research can deepen understanding of changes in international trade dynamics and identify more effective adaptation strategies for shipping companies in this post-pandemic era. Thus, this study makes a significant contribution to understanding and addressing the challenges faced by the maritime industry in the future.

The estimated rice sales at Perum Bulog Sub Divre Medan is crucial information in planning and managing rice supplies. In this study, we apply the Double Exponential Smoothing forecasting method to estimate rice sales at Perum Bulog Sub Divre Medan. This approach allows us to identify complex sales patterns and generate accurate forecasts to aid in informed decision making. We use historical rice sales data to train a forecasting model and evaluate its performance. Experimental results show that the Double Exponential Smoothing method can provide reliable estimates of rice sales, with a satisfactory level of accuracy. The implications of these findings are discussed in the context of inventory management and operational planning of Perum Bulog Sub Divre Medan.

The cost of funds ratio is a matrix used to carry out analysis in financial reports to evaluate banking financial performance by connecting various factors that influence the cost of funds ratio. Financial ratio analysis is part of business analysis that assesses a company's prospects and risks. Cost of funds ratio analysis describes the relationship between the amount of money and the company's burden in managing these finances to increase profitability. Cost of funds ratio analysis method. Research was conducted to identify information related to cost of funds ratio analysis in banking. The research results show the significant impact of financial ratio analysis on the financial performance of banking companies in Indonesia. Suggestions include increasing LDR, reducing NPL, controlling operational costs, and improving customer service. It is also recommended that the banking industry be able to reduce the cost of funds ratio regularly to improve its financial performance.