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In a business environment, a company will definitely look for ways to improve employee performance and productivity. To increase employee productivity, of course, companies must optimize facilities and infrastructure to support employee productivity. The use of facilities and infrastructure such as office automation system technology is used to facilitate activities in office processes, increase efficiency in work, reduce errors caused by humans. This research examines the use of office automation systems at PT X in supporting office operational work. The research process uses a qualitative approach with literature studies through previous research in the form of relevant journals and theories to obtain secondary data. This research took place for 1 month from April 2024 to May 2024.  The results showed that the integration of automation systems at PT X had an impact on a significant increase in employee productivity and performance. The results of this study are expected to be an impetus for other organizations to adopt the use of automation technology in an effort to improve the productivity and performance of their employees, and produce a positive impact on the entire organization.  

Juanda International Airport is an airport located in Sidoarjo, East Java Province and is one of 14 airports managed by PT. Angkasa Pura I. The operational activities of Juanda International Airport produce 1.120 /day wastewater. This study aims to determine the quality of wastewater after the treatment process and evaluate the performance of the STP (Sewage Treatment Plant). Evaluation of STP (Sewage Treatment Plant) performance is based on the existence of one unit that is not operating so that the wastewater produced can potentially not meet the predetermined quality standards. The evaluation is carried out by analyzing wastewater sample at the inlet and outlet, discharge and comparing parameter tes results with predetermined standards. The pramaters used as a reference are BOS, COD, TSS, Ammonia, and Total Coliform. The wastewater outlet produced by Juanda International Airport is in accordance with the Minister of Environment and Forestry Regulation Number 68 of 2016 concerning Domestic Wastewater Quality Standards.

SMES (Micro, Small and Medium Enterprises) often face significant challenges, especially related to financial and workforce risk management. This research aims to analyze Lela Florist's financial risk management. In this research, a descriptive qualitative approach with interviews was used to collect data from business owners and female employees. The analysis is carried out with a focus on financial risk management strategies, such as product and service diversification, creative promotions, cash flow management, separation of company assets and access to capital. Lela Florist has implemented various strategies to manage financial risks effectively. Diversification of products and services, creative promotions, and utilization of online delivery and ordering services help reduce financial risks and maintain revenue stability. Meanwhile, efficient management of employee costs, employee development and effective performance management increases productivity and maintains service quality. This research shows that Lela Florist's financial risk management has effectively played an important role in the operational success of SMES.  

Abstract. This case study explores the influence of transformational leadership style in facilitating innovation and synergy in an institution. Through the analysis of conceptual relationship diagrams among various operational elements within the organization, this study demonstrates how transformational leadership impacts decision-making processes, innovation, and competency enhancement. In this context, leadership acts not only as a decision maker but also as a motivator inspiring active participation and commitment from team members. The emphasis on consultation and coordination in decision-making illustrates the implementation of democratic practices supporting a collaborative and inclusive work environment. Furthermore, the study identifies innovation as a central pillar driving the institution to adapt to changes and meet the dynamic market needs. Initiatives such as the implementation of modern technology and new approaches in human resource management are illustrated as key components in the organization’s innovative strategy. The findings of this case study underscore that transformational leadership is effective in triggering organizational growth and sustainability by integrating innovation and collaboration. The implications of these findings provide important insights for other institutional leaders in designing leadership strategies that not only direct the organization to achieve its targets but also ensure ongoing adaptation and growth in a continually changing environment. This study offers valuable contributions to the literature on organizational leadership, particularly in the context of institutions operating in the era of globalization and digital transformation.

One of the characteristics of the oil and gas sector, especially drilling activities, is High Cost, namely high operational costs. Therefore, efficient and effective use of time is necessary to reduce operational costs. Evaluation of the influence of ILT and NPT on drilling activities was carried out to find the factors that made drilling time so long. Identifying KPIs for each activity is necessary to find out what activities can be optimized. From the analysis results it was found that the Invisible Lost Time value was 33.12% (198.75 hours) and Non-Productive Time was 18.37% (110.25 hours) caused by less than optimal performance and equipment failure. The author believes that the factors causing the relatively high ILT and NPT can still be optimized so that the costs required during drilling activities are in accordance with the desired planning.    

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.

The purpose of this study is to assess the comparative financial performance between conventional and Islamic banks in Indonesia by considering factors such as profitability, liquidity, operational efficiency, and credit risk. Using a qualitative approach and literature review method from various credible sources, the results show that conventional banks tend to use ROA, ROE, CIR, and NIM as the main profitability indicators; Islamic banks also use NPF and FDR. CAR and NIM affect Islamic banks' profitability positively against ROA, while BOPO affects conventional banks' ROA negatively. In terms of liquidity, Islamic banks have an advantage due to the yield principle applied. This is indicated by the current ratio, quick ratio, money ratio, and loan-to-deposit ratio, which show their ability to meet short-term obligations better compared to conventional banks. BOPO shows the operational efficiency of Islamic banks thanks to the principles of fairness and sustainability, while conventional banks excel in revenue management from assets and investor capital. The profit-sharing system in Islamic banks lowers credit risk compared to conventional banks. Although the operating principles of the two types of banking are different, this study found that each type of banking exhibits strengths and weaknesses in terms of profitability, liquidity, efficiency, and credit risk. It is hoped that these results will aid the growth of the Indonesian banking industry and help bank management and relevant stakeholders make informed decisions.

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.

Businesses, regardless of size, must continuously adjust to fast-paced technological advancements to remain competitive, particularly in the hotel industry. The Room Division plays a vital role as the heart of the hotel business, serving as the frontliner. A significant number of hotels have implemented technological advancements inside their operational room divisions, particularly in the front office and housekeeping departments. However, there are only a limited number of apps that can provide automation for analyzing the effectiveness of room attendants using delegation systems. A prototype of the hotel room division application based on the Intelligent Planning System (IPS). The IPS module provides automated analysis with rapid and precise outcomes, minimizing human involvement and reducing the likelihood of human mistakes. The research is conducted by applying the Software Development Life Cycle (SDLC) with the waterfall model, which includes planning, development, testing, and implementation stages. The prototype's anticipated outcome is to serve as a viable solution, with innovative features potentially benefiting the hotel's operational room division.  

Administrative supervision is very necessary to implement social rehabilitation services for victims of drug abuse. In this case, there are several things that must be researched in relation to carrying out administrative supervision, consisting of: 1) recruitment and selection of staff, 2) introduction and placement of staff, 3) work planning, 4 ) work assignment, which consists of a) understanding the assignment criteria, b) considering staff duties, c) type of assignment, d) stimulus, e) suitability of staff background with clients, 5) work delegation, 6) monitoring, reviewing and job evaluation, 6) coordination and 7) communication. This research aims to find out how administrative supervision of social rehabilitation services is in handling drug abuse victims at the Galih Pakuan Bogor Center. This research uses qualitative methods. Data collection was carried out by means of interviews, observation and documentation, determining informants using purposive sampling. The results of this research show that the supporting factors are human resources who can carry out tasks in accordance with Standard Operational Procedures at the Galih Pakuan Center and motivation for staff to be encouraged so that they want to carry out good, effective and efficient administration, the division of work groups into one supporting factors for carrying out staff performance and the existence of e-performance to provide work reports for monitoring. The inhibiting factor is the limited number of multi-service human resources and lack of capability in carrying out tasks, there are still some who do not have priority in distributing each task.

This activity discusses the importance of training in implementing data management information systems to increase the efficiency and effectiveness of human resource (HR) management in the context of social welfare. Data management information systems provide a structured framework for managing HR data, enabling organizations to make better and faster decisions. However, the successful implementation of this system depends on HR's understanding and skills regarding its use. Therefore, this activity proposes a comprehensive training program for HR that focuses on the use of data management information systems. Effective training methods include practical learning, case simulations, and interactive sessions to ensure in-depth understanding and practical application of the material studied. Through this approach, it is hoped that organizations can improve the performance of their human resources in managing social welfare data, which will ultimately have a positive impact on operational efficiency and effectiveness as well as the resulting social impact.

The growth in population and the usage of private automobiles in Semarang City have an impact on the operation and performance of the Mangkang Terminal with Type A, namely the terminal's class, service evaluation, and performance. The purpose of this study is to identify terminal class criteria, service enhancements, and operational performance that requires improvement at the Semarang Terminal. For this reason, the terminal class is created in accordance with rules governing technical guidelines for defining terminal class criteria, and service and terminal performance are assessed using the IPA method. A Google form with as many questions regarding services as an evaluation of satisfaction and interest is issued to terminal users, with the primary goal of improving and determining terminal class being to identify 5 indications that are tailored to current circumstances. According to the findings of the terminal class study, the Semarang Terminal is in class 1, which is the highest priority for developing and delivering services to road passenger terminals.

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.