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In the#world of work assessment, it is very important, every organization will develop the best strategy to be able to compete. Especially in improving employee performance. The background to good employee performance is the ability to adapt, having skills that are relevant to the job, and the willingness to continue learning and developing. Thus, companies can achieve brand goals more effectively and efficiently. Similar to other companies, PT. Hilfic also carries out performance assessments of its employees. In this research, employee performance assessment uses a strategy based on Key Performance Indicators (KPI). The aim of this research is to identify factors that influence employee performance, such as motivation, competence, work environment, etc. The method used uses qualitative methods. The research results show that there is a positive and significant influence on employee performance, especially on quality and quantity after the company implemented Key Performance Indicators (KPI) as an assessment of its performance.

The automotive sector continues to demonstrate significant progress in line with innovations in various supporting components of motor vehicles. Motorcycles, which initially served only as a practical means of transportation, have now evolved into a lifestyle element and a popular activity among many communities. Along with the increasing demand from consumers for performance and efficiency, the development of transmission technology, particularly the Continuously Variable Transmission (CVT) system, has become an important aspect that requires serious attention. One of the key components in the CVT system is the double clutch lining and the clutch housing, which play a vital role in transferring torque and power from the engine to the driving wheel. The performance of these components directly affects acceleration, efficiency, and engine durability. Therefore, research on the design and modification patterns of the double clutch lining and clutch housing is essential to determine an optimal configuration. This study applies an experimental method using a 110 cc motorcycle as the test object. Several modification patterns were applied to the double clutch lining and clutch housing to examine their influence on vehicle performance. The testing process was carried out using a dynotest, which enables precise measurement of torque and power across different engine speeds. The data obtained from these tests are expected to provide a clear overview of the effect of modification patterns on the transmission performance of motorcycles. The findings of this research are expected to contribute significantly to the development of more efficient and optimal designs for double clutch linings and clutch housings. Furthermore, this study may serve as a valuable reference for the automotive industry as well as motorcycle modification communities in enhancing vehicle performance while maintaining efficiency and component durability. In this regard, innovations in CVT components hold great potential to support the advancement of two-wheeled transportation technology in the future.

Menstrual cycle disorders can negatively impact athletic performance. A combination of irregular eating patterns and intense training can increase the risk of such disturbances. Factors influencing menstrual cycle irregularities include nutritional status, physical activity, dietary habits, stress levels, smoking, hormonal medication use, and endocrine disorders. A study conducted in Semarang found that 28.8% of female athletes experienced menstrual cycle issues. This research aims to investigate how physical activity and food intake affect menstrual cycle disorders among adolescent volleyball athletes in Kudus Regency. The methodology employed was an observational analytical study with a cross-sectional approach, selecting 46 respondents using purposive sampling techniques. The IPAQ and SQFFQ questionnaires were used as research instruments. Data were analyzed using bivariate analysis with the Chi-Square test. The results indicated that the majority of athletes had a high level of physical activity (76.1%), while 50% were categorized as having severe food intake deficits. Additionally, 78.3% of athletes experienced menstrual cycle disturbances, which included 36 individuals. Bivariate analysis revealed that physical activity influenced the menstrual cycle of adolescent volleyball athletes (p-value = 0.045), and dietary intake also had an effect (p-value = 0.000). Therefore, both physical activity and eating patterns significantly impact menstrual cycle disorders among adolescent volleyball athletes.

The level of anxiety during competition needs to be considered because it can interfere with the athlete's focus, cause difficulty in controlling movements, reduce the quality of the game, and hinder the application of strategies, which overall has a negative impact on athlete performance. This study was motivated by the observation of researchers who found that there were still many athletes experiencing symptoms of anxiety, such as cold sweaty hands and nausea. The research method used was a survey with Nyak Amir's Sport Anxiety Scale (SAS) questionnaire consisting of 22 statement items. The subjects of this study were 20 athletes who had met the criteria and were analyzed using descriptive statistics with Microsoft Excel and SPSS. The results of the research on the anxiety of Dukati Taekwondo Club athletes before the match were in the “rather low” category with an average score of 41.25. However, if analyzed further based on aspects of anxiety, there are differences in anxiety levels in each aspect. The somatic aspect has the highest anxiety with a score of 15.5, showing physical symptoms such as heart palpitations and body trembling. Motor aspects with a score of 14.75, affective with a score of 5.45, and cognitive 5.55 were mostly in the moderate category, reflecting muscle tension, feelings of anxiety, and negative thoughts before competing.  

This study aims to analyze the effect of changes in interest rates, exchange rates, economic growth, and world oil prices on stock returns in the transportation and logistics sector in Indonesia during the period 2006–2024. This sector was chosen because it is highly vulnerable to fluctuations in macroeconomic factors that have a direct impact on companies' operating costs and financial performance. The method used is multiple linear regression with an annual panel data approach, using a sample of transportation and logistics companies listed on the Indonesia Stock Exchange. The independent variables include changes in interest rates, exchange rates, economic growth, and oil prices, while the dependent variable is stock returns. The results show that, partially, only changes in interest rates have a significant negative effect on stock returns. Conversely, exchange rates, economic growth, and oil prices have no statistically significant effect. Simultaneously, these four variables also show no significant effect on stock returns. This study makes a new contribution through the use of a long observation period and a focus on the transportation and logistics sector, thereby providing a deeper understanding of this sector's sensitivity to macroeconomic conditions.

This study aims to examine the effect of sales growth, profitability, capital structure, and corporate social responsibility (CSR) on firm value in companies listed in the LQ45 index during the 2022–2024 period. This research also intends to provide insights for investors in evaluating the factors that influence firm value as a basis for investment decision-making, including sales growth, profitability, capital structure, CSR, and firm value. The population of this study consists of 45 LQ45 companies, with a sample of 32 companies selected using purposive sampling based on specific criteria, resulting in 96 total observations. The research results show that sales growth and CSR do not affect firm value. Meanwhile, profitability and capital structure hurt firm value. This study concludes that sales growth has not yet become a strong fundamental signal for investors, as it does not always reflect sustainable performance. High profitability, in fact, has a negative effect on firm value, which may be due to a mismatch between short-term profits and the long-term prospects expected by investors. A high capital structure signals greater financial risk, thereby reducing investor confidence in the company. Meanwhile, CSR has not had a significant impact on firm value, possibly due to low disclosure quality or a lack of investor attention to sustainability issues.

This study aims to analyze the influence of communication between leaders and employees on improving employee performance at PT Bams Proceed Mandiri Jakarta. The background of this study is the problem of high employee turnover and increasing customer complaints in the 2023–2024 period. This condition indicates an indication of weak internal communication which has an impact on decreasing work quality and customer satisfaction. The research method used is a quantitative approach with a total sampling technique, where the entire population of 55 employees is used as the research sample. Primary data was collected through a questionnaire, while data analysis was carried out using a simple linear regression test using SPSS version 27. The research instrument has been tested for validity and reliability, and tested through classical assumptions to ensure more accurate analysis results. The results show that interpersonal communication, especially vertical communication carried out by leaders through instructions, directions, providing feedback, and awards, has a positive and significant effect on employee performance. These findings demonstrate that the more effective communication between leaders and subordinates, the higher the quality of work, punctuality, and employee commitment to the company. The study's conclusions emphasize that effective communication is not only a tool for conveying information, but also an important strategy in building harmonious working relationships, motivating employees, and increasing productivity. Therefore, companies need to strengthen their internal communication systems as part of their human resource management strategy.

Fine motor skills are the abilities to control small muscles for successful skill performance.  Developing fine motor skills in children is crucial to prepare them for writing upon entering formal education (elementary school). This research aimed to analyze the influence of beading body part pictures on the fine motor skill development of 5-6-year-old children at RA Mawar Ar-Rahman. This study employed a pre-experimental design with a one-group pre-test post-test approach. The population consisted of 38 respondents, with all 38 included in the study using total sampling. The intervention was implemented over four sessions, three days apart, using the Denver Developmental Screening Test II (DDST II), observation sheets, Standard Operating Procedures (SOP), and beading modules as instruments. Data were analyzed using the Wilcoxon test. The results showed that before the beading activity, almost half of the respondents (17 respondents, 44.7%) showed developing fine motor skills. After the beading activity, a significantly larger number of respondents (23 respondents, 60.5%) showed very good development. This indicates a significant influence of beading body part pictures on the fine motor skill development of 56-year-old children at RA Mawar Ar-Rahman (p-value 0.001 < α = 0.05). Playing stringing games can develop fine motor skills and optimize children’s development. It looks enjoyable for the children, increases their knowledge, and also encourages them to communicate with one another.

The internship program is designed to introduce students to the practical application of the theories and knowledge they have acquired during their studies in a real work environment. This activity was conducted at SMP Swasta Galih Agung, an educational institution under the Darularafah Raya Islamic Boarding School Foundation, which aims to develop pious, skilled, and technologically literate students with strong physical and intellectual abilities. At the beginning of the odd semester of the 2023–2024 academic year, the number of female students enrolled was 470, but by the end of the semester, it had decreased to 455, representing a 0.96% decline. The purpose of this study is to perform a ranking analysis for selecting the best teacher based on expertise and teaching performance. The research employs the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) method, combined with ROC (Rank Order Centroid) weighting and sensitivity analysis to measure the accuracy of ranking results. The findings show that the teacher with code T10 achieved the highest score of 0.521, followed by T7, T1, T2, T5, T11, T12, T8, T4, T9, T6, and T3, with the lowest score being 0.310. The lowest sensitivity value of 0 indicates the most optimal weighting result. The decision support system designed using questionnaires and Excel simplifies data input and assists the principal in making objective and efficient decisions.

Increasing competition in the food industry requires companies to not only focus on product innovation and market expansion but also on strengthening internal human resource capabilities through long-term strategies. PT. Surya Pratista Hutama addresses this challenge by implementing a Talent Management Sistem (TMS) designed to identify, develop, and retain high-potential employees (HiPos), while simultaneously ensuring sustainable leadership development and succession planning. This study employed a qualitative case study approach by utilizing observations, in-depth interviews, and a paper review to obtain comprehensive insights into the company’s practices. The findings reveal that the identification of HiPos is carried out through a rigorous and consistent process using the 9-box grid as a key assessment tool. The emphasis on consistency in evaluation highlights the organization’s effort to ensure fairness and accuracy. Employee development is facilitated through multiple strategies, including formal training, mentoring programs, job rotation, and other structured learning initiatives. Retention strategies focus on providing competitive compensation packages, developing financial literacy skills, and fostering a collaborative organizational culture that values employee contributions. The implementation of TMS at PT. Surya Pratista Hutama has shown positive impacts, particularly in reducing employee turnover rates and improving leadership performance. However, the study also identifies several challenges, especially related to the need for clearer procedural guidelines and more specific development strategies to optimize outcomes. Overall, this research demonstrates that a well-structured TMS can serve as an effective mechanism for building sustainable human resource capabilities in highly competitive industries such as food manufacturing.

Transformational leadership is an approach that emphasizes inspiration, empowerment, and individual development in order to achieve organizational goals holistically. This study aims to examine the concept of transformational leadership theoretically, while reviewing its application in the context of general organizations and churches, and its relevance according to the biblical perspective. Using the literature study method, this study collected data from various scientific literature and theological sources to build a solid conceptual framework. The results of the study indicate that transformational leadership has significant benefits, such as increasing employee engagement, innovation, and performance. On the other hand, this approach also has limitations, especially in the context of organizations that are bureaucratic or still in the early stages of formation. From a biblical perspective, transformational leadership is in line with the examples of Deborah and Jesus Christ, who led through service, example, and personal transformation. Thus, transformational leadership is not only relevant to the development of modern organizations, but also has a strong spiritual basis in Christian teachings.

This study aims to examine the effect of financial inclusion, accounting information systems, and e-commerce on the financial performance of Micro, Small, and Medium Enterprises (MSMEs). MSMEs play a crucial role in supporting regional economic growth, thus enhancing financial performance is a crucial aspect. The study sample comprised 84 MSME owners in Sleman Regency, drawn using the snowball sampling technique. Data collection was conducted through online questionnaires using a Google Form link to facilitate respondents' completion and to broaden the reach of respondents. The data were analyzed using multiple linear regression with SPSS software to determine the extent of the interplay between the variables studied. The results indicate that financial inclusion has a positive effect on MSME financial performance. This indicates that the easier access for MSMEs to formal financial services, the better their financial performance. Similarly, accounting information systems have also been shown to have a positive effect, where the implementation of a good accounting system can improve the quality of transaction recording and financial decision-making. Conversely, e-commerce has not been shown to have a significant effect on MSME financial performance. This finding indicates that the use of e-commerce by MSMEs in Sleman is not optimal in supporting improved financial performance.

This study aims to thoroughly examine the influence of menu variety, taste, and price on customers' purchasing decisions at CEZ-ROS Restaurant, located in Kediri Regency. Understanding these factors is crucial for the restaurant to enhance customer satisfaction and improve sales performance. The research employs a quantitative approach with an associative research type, designed to explore relationships between variables. The sampling technique used is accidental sampling, where respondents were selected based on convenience and their availability during the data collection period. This method allows for practical and efficient data gathering from actual restaurant customers. Data analysis involves several statistical tests to ensure accuracy and reliability. Initially, validity and reliability tests were conducted to confirm the suitability of the questionnaire. Then, multiple linear regression analysis was used to determine how menu variety, taste, and price individually and collectively influence purchasing decisions. Additionally, t-tests assessed the significance of each independent variable, while the F-test evaluated their simultaneous effect. The coefficient of determination (R²) provided insight into how much variation in purchasing decisions could be explained by these variables. The results indicate that menu variety, taste, and price significantly impact purchasing decisions both individually and together. Specifically, customers prefer restaurants offering a diverse menu, delicious food, and reasonable pricing. The F-test confirms the strong combined effect of these factors on consumer behavior. However, the coefficient of determination also suggests that while these variables are important, other external influences such as service quality, ambiance, and promotions may also affect purchasing decisions. Overall, this study highlights that CEZ-ROS Restaurant should focus on maintaining menu diversity, enhancing taste quality, and setting competitive prices to attract and retain customers effectively.

This study aims to explain the procedure for processing the Notice of Readiness (NOR) document for coal-carrying vessels at PT. Armada Lintas Baruna Bandar Lampung and to identify the consequences that occur when the NOR is submitted late or contains inaccuracies. As vessels from international shipping companies frequently call at Indonesian ports to transport coal abroad, companies must continuously improve service efficiency and reliability to support national shipping and trade performance. PT. Armada Lintas Baruna plays a key role in managing export vessels, particularly coal carriers, from loading ports to their country destinations, and the NOR serves as a crucial document through which the Ship Master declares that the vessel is fully prepared to load or discharge cargo during the charter period. The NOR service process includes several stages: verification of vessel readiness by the agent, preparation and submission of the NOR document, verification by the port authority, issuance of NOR confirmation, and document closing. Delays or errors in NOR submission can disrupt the vessel’s operational schedule, potentially causing financial losses for shipowners through demurrage charges. This paper employs both field research and library research to provide an in-depth understanding of the NOR service mechanism.

This study assesses the influence of organizational culture, physical work environment, and non-physical work environment on employee performance at UD. Sumber Rejeki. Organizational culture is understood as the values, norms, and patterns of behavior agreed upon by members. The physical work environment refers to tangible conditions such as layout, lighting, and cleanliness. The non-physical work environment relates to the psychological climate and social relationships in the workplace. The research design is quantitative with a census or saturated sample technique. All 32 employees were respondents. The instrument was compiled using a Likert scale. The data were processed using SPSS 25. The analysis stages included validity, reliability, normality, multicollinearity, heteroscedasticity, multiple linear regression, t-test for partial effects, f-test for simultaneous effects, and the coefficient of determination R². The partial test results showed that organizational culture did not have a significant effect on employee performance. Conversely, the physical work environment and non-physical work environment had a positive and significant effect. The simultaneous test confirmed that the three variables together had a positive and significant effect on performance. These findings indicate that improvements in physical aspects such as room comfort, equipment, and safety standards, as well as strengthening non-physical aspects such as supervisor support, role clarity, and communication, are more directly related to performance improvement than existing cultural characteristics. In practical terms, management needs to prioritize programs to improve the physical work environment and psychological climate, accompanied by periodic evaluations so that the impact can be measured against performance indicators.

This study investigates the simultaneous and individual effects of School-Based Management (SBM), principal supervision, transformational leadership, and work culture on the performance of junior high school teachers in Serang City, Indonesia. Against the backdrop of the Merdeka Curriculum and the shift to hybrid learning in the post-pandemic era, the research addresses persistent challenges such as hierarchical school cultures and technological disparities. Employing a quantitative ex post facto approach, data were collected from 316 teachers across public and private schools through structured questionnaires, classroom observations, and document analysis. Multiple linear regression analysis reveals that SBM, principal supervision, transformational leadership, and work culture each have significant and positive impacts on teacher performance, with transformational leadership and work culture exerting the most substantial influence. The results demonstrate that 74% of the variance in teacher performance can be explained by these four organizational factors, underscoring their critical role in shaping pedagogical competence, classroom management, and professional development. The study further highlights the necessity for comprehensive managerial training, the integration of technology in supervisory practices, and the cultivation of collaborative and innovative work cultures. Practical recommendations include enhancing principal leadership capacity, fostering instructional supervision, and investing in digital infrastructure to support sustainable improvements in teacher performance. The findings contribute to the body of knowledge on educational management in Indonesia and offer actionable insights for policymakers, school leaders, and educators aiming to strengthen teacher effectiveness amidst ongoing educational reforms and digital transformation.

The increasing demand for cloud computing services has led to the rapid expansion of cloud data centers, which consume significant amounts of energy and contribute substantially to global CO2 emissions. As the IT industry grows, the environmental impact of these data centers becomes an urgent concern. Green Cloud Computing (GCC) has emerged as a solution to mitigate this impact by focusing on energy efficiency and reducing carbon footprints while maintaining the necessary functionality and performance of cloud infrastructures. However, traditional blockchain consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) face limitations regarding energy consumption and scalability, which exacerbates the environmental burden. This study proposes a quantum-inspired blockchain consensus algorithm designed to optimize energy consumption and reduce latency in cloud data centers. By integrating quantum principles such as superposition and entanglement, the algorithm enhances task scheduling and resource utilization, enabling more energy-efficient operations without sacrificing performance. Simulations in a green cloud environment showed that the quantum-inspired algorithm resulted in up to a 30% reduction in energy usage compared to traditional consensus methods, with a 40% improvement in consensus processing time. These results suggest that quantum-inspired algorithms hold significant potential for enhancing the sustainability of cloud infrastructures by improving energy efficiency and scalability. Furthermore, this study discusses the feasibility of implementing quantum-inspired algorithms on classical hardware, addressing challenges in scalability and integration into existing blockchain frameworks. The findings provide valuable insights into the potential of quantum-inspired technologies to drive energy-efficient solutions in cloud computing.

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.  

This study explores the significant role of digital infrastructure investments in driving both economic growth and social inclusion in emerging economies. With the rapid advancements in digital technologies such as broadband, mobile subscriptions, and ICT infrastructure, these investments are reshaping economies by fostering innovation, improving business efficiency, and reducing poverty. The research employs a quantitative cross-country panel data approach, examining the impact of digital infrastructure across various regions over a ten-year period. The findings reveal a strong positive correlation between digital infrastructure investments and GDP growth, highlighting the substantial effect these investments have on national economic performance. Additionally, the study demonstrates that digital infrastructure plays a pivotal role in enhancing social inclusion, particularly through improved access to financial services, education, and healthcare, which in turn reduces income inequalities and promotes social mobility. The paper also compares the impact of digital infrastructure with that of traditional investments in physical infrastructure, such as transportation, revealing that digital infrastructure offers higher returns in terms of both economic outcomes and social benefits. This research emphasizes the importance of policy interventions, including targeted subsidies and inclusive digital policies, to foster equitable growth. Finally, it proposes several directions for future research, including sector-specific impacts of digital infrastructure, regional disparities, and the long-term effects on social well-being.