Publication Search

In this globalized world, where boundaries are breaking down, effective communication is not just a necessity but a must. It is the lifeblood of every organization, driving its operations and ensuring its growth. However, to achieve this, we need to have a strong system in place. The objectives of this study are to analyze the comparison of the performance of digital and non-digital switching systems, to compare the energy efficiency between digital and non-digital switching technologies in various operational conditions and to determine the simulation of digital and non-digital switching technologies. The method used in this research is a literature review or systematic review by collecting several research journals as reference material.

Technology has undergone significant and rapid change with the transition from self-managed data centers to visualized infrastructure. Data archiving has a very important role because it can make it easier to process data quickly and accurately. Web-based information systems have become an integral part of digital transformation in various industrial sectors. By providing centralized access to computing resources, data storage, and applications over the internet, the cloud provides significant freedom and flexibility. Web-based information systems bring great benefits to organizations that successfully adopt them. While challenges such as security and regulatory compliance need to be overcome, the opportunities for innovation and operational efficiency make cloud-based information systems a strategic choice in a company's digital transformation roadmap. Several institutional companies and individuals have used web-based archiving but it has not been effective. For this reason, a good archiving system is needed that makes it easier to search and process data. Web-Based Archiving Management Information System which will provide convenience in processing data to be more effective and accurate. Apart from that, it can also save time and better manage reports and decision making within the Company.

Made Village in Surabaya City has diverse economic potential, especially in the Micro, Small and Medium Enterprises (MSME) sector. This potential includes local products, handicrafts, traditional food, and tourism. MSMEs in Made Village include the processing of sengon nuts and soy milk. However, there are opportunities to develop these MSMEs through appropriate strengthening strategies. Strengthening MSMEs in Made Village through approaches such as skills training, increasing market access through digital platforms, developing collaboration networks, and implementing information technology can be strategic steps to increase the competitiveness and growth of MSMEs. This research uses a qualitative descriptive method. The author uses secondary research data sources to support research obtained from print and electronic media. Secondary data is a previously existing data source, obtained by researchers indirectly through intermediary media. With diverse economic potential, especially in the Micro, Small and Medium Enterprises (MSME) sector. From the author's short interview with MSME partners, sengon bean and soy milk entrepreneurs. Strategy efforts to strengthen MSMEs in Made Village, Surabaya City start from ensuring the quality of the products or services offered remains superior, to maintaining good relationships with customers. This also includes monitoring the market and being flexible to changing trends and consumer needs. What is no less important is paying attention to operational efficiency and managing finances wisely to maintain the financial health of entrepreneurs. Strategic efforts are needed to strengthen such as developing local partnerships, community empowerment, promotion and marketing, product diversification and access to financing. Apart from that, the government needs to make efforts to support MSMEs through Article 97 of the Job Creation Law. The government allocates funds to the community to help MSMEs to operate and reach the market. thus providing positive implications for entrepreneurs (MSMEs) and local residents. Advice from researchers for MSME business actors to innovate more creatively and keep up with current developments by utilizing the latest technology, and also involving local residents to participate in improving the local economy.

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.

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.

Energy efficiency has become a cornerstone in industrial optimization, reducing operational costs and contributing to sustainability. This paper reviews key innovative approaches in mechanical systems used to enhance energy efficiency within industrial applications. It covers advances in system design, smart technologies, automation, and predictive maintenance. By understanding these techniques, industries can make strides toward greener production processes, lower energy costs, and reduced environmental impact.

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 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 investigates how IoT (Internet of Things) technologies enable innovative business models in smart enterprises. By exploring use cases in manufacturing, healthcare, and retail, the research highlights opportunities for operational efficiency and new revenue streams. Challenges related to data management, interoperability, and cybersecurity are also discussed.

This article explores how cloud computing solutions enhance operational efficiency, scalability, and cost-effectiveness in small and medium enterprises (SMEs). By examining case studies from various industries, the research highlights the transformative role of cloud platforms in driving innovation, improving collaboration, and expanding market reach. The findings underscore the potential of cloud technologies in accelerating SME growth, while also addressing challenges such as adoption costs, technical expertise, and data security concerns.

Digital supply chain management (MRPD) has become an important focus in the context of insecticide farming such as cicada cultivation. This study aims to explore the opportunities and challenges of MRPD implementation in cicada cultivation. The aim is to identify potential improvements in operational efficiency and risk management through the integration of digital technology in the cricket supply chain. The study is scheduled to be conducted for six months, with the initial phase of research focusing on literature analysis and conceptual framework, followed by primary data collection through interviews and survey. The subjects of the study include cricket farmers, feed suppliers, distributors, and end consumers. The research methods used are qualitative and quantitative approaches to gain an in-depth understanding of stakeholders' perspectives and experiences. The results of the study are expected to provide valuable insights into the benefits and constraints of implementing MRPD in cicada cultivation, as well as practical recommendations for industry stakeholders.    

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.

 PT Hong Xin Printing Equipment is encountering obstacles in improving operational efficiency and managing human resources in the digital age. Despite the use of a fingerprint attendance system, there are concerns about errors and reduced efficiency due to manual data processing. Additional challenges arise when recording attendance for employees on business trips and manually calculating leave. To tackle these issues, the company is planning to create a web-based payroll system that will automate payroll, attendance, and leave management. The implementation of this system is anticipated to enhance efficiency and accuracy, thereby allowing the company to maintain its competitiveness in the market.

This study explores the integration of green practices into nursing protocols as a means of reducing the environmental impact of hospital care. Hospitals significantly contribute to global carbon emissions, and nursing practices are integral to healthcare operations, yet they often lack sustainability considerations. The aim of this research was to develop and implement a set of green-practice guidelines tailored for nursing staff to minimize carbon emissions and improve operational efficiency. Through collaboration with environmental experts, nursing staff, and hospital management, new guidelines were established focusing on waste reduction, energy-efficient practices, and sustainable procurement. A waste-audit assessment was conducted to analyze current waste management practices, while a pilot implementation was carried out in selected hospital wards. The results revealed an 18% reduction in carbon emissions following the integration of these green practices into daily nursing activities. Key contributors to this reduction included waste segregation, the use of reusable medical supplies, and energy conservation measures such as optimizing lighting and HVAC systems. However, challenges such as resistance to change, resource limitations, and the need for specialized training were identified during the pilot phase. Despite these barriers, the research highlights the significant potential for nurses to lead sustainability efforts in healthcare settings. The findings indicate that integrating green practices into nursing protocols can provide environmental, operational, and economic benefits, ultimately contributing to more sustainable healthcare systems. Future research should refine these protocols, explore their broader application, and assess long-term outcomes across various healthcare settings

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 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 research aims to explore the challenges and opportunities of implementing Good Corporate Governance (GCG) in Dapur Bestie, a culinary business, from the stakeholders' perspective. Through a combination of surveys, interviews, and document analysis, we gained insights into the factors influencing the company's GCG practices. The findings indicate that Dapur Bestie faces challenges such as stringent regulations, resource constraints, supply chain complexity, and resistance to change. However, there are significant opportunities to strengthen GCG practices, including enhancing brand reputation, operational efficiency, and stakeholder engagement. The integrity of GCG practices within the organizational culture is identified as key to long-term success. This research suggests strategic steps that Dapur Bestie can take to reinforce their GCG practices, considering the company's vision and the expectations of all involved parties. It is hoped that sustained efforts to improve GCG will yield long-term benefits for the company and society at large.

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.