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A decline in performance in automatic motorcycles that have been used for a long time is a common problem caused by wear and tear on the Continuously Variable Transmission (CVT) system. This condition results in a reduction in the clamping force of the V-belt on the pulley, causing slippage and a decrease in transmission capacity. Based on the manufacturer's specifications, the torque is 8.32 Nm at 5500 rpm, while the test results show a torque of 7.41 Nm at 6500 rpm, a decrease of 10.9%. The study aims to analyze the effect of variations in pulley angle and surface roughness on the torque value of a 108 cm³ automatic motorcycle as a method to restore transmission performance without replacing the main components. The pulley angles tested were 14°, 13.8°, and 13.5°, while the surface roughness was varied based on the turning process with cutting inserts having nose radii of 0.2 mm, 0.4 mm, and 0.8 mm. The testing was conducted using a dynamometer at an engine speed range of 6000 – 9000 rpm. The results showed that the combination of a 13.8° pulley angle with a 0.2 mm cutting insert nose radius produced a torque of 7.41 Nm at 6500 rpm, an increase of 8.2% compared to the standard 14.5° configuration, which only produced 6.85 Nm. Modifying the pulley angle and surface roughness was proven to increase the V-belt clamping force, thereby improving transmission performance.  

This study explores the intellectual and thematic evolution of green sukuk research within Islamic sustainable finance from 2015 to 2025. Using a hybrid methodological design that integrates the PRISMA-guided Systematic Literature Review with Watase Uake network analysis, the study identifies 17 core Scopus-indexed articles that collectively define the field’s conceptual and empirical development. Results reveal a three-phase evolution: (1) a formative stage emphasizing ethical legitimacy and Sharia compliance; (2) a transitional phase integrating pricing efficiency, market risk, and policy frameworks; and (3) a maturity phase characterized by econometric modeling, behavioral-finance integration, and sustainability governance. Thematic clusters extracted from bibliometric mapping include financial performance and market dynamics, institutional legitimacy and policy frameworks, behavioral intention and investor psychology, and technological innovation and ESG disclosure. Despite methodological advancement, the literature remains geographically concentrated in Malaysia and Indonesia and exhibits theoretical fragmentation across behavioral, financial, and institutional models. Findings highlight key research gaps involving contradictory evidence on yield–risk relationships, inconsistent behavioral determinants of investment intention, and insufficient integration of moderating or mediating mechanisms. The study advances theoretical pluralism by connecting the Theory of Planned Behavior (TPB), Institutional and Legitimacy Theory, and Resource-Based View (RBV) into an integrated model explaining how legitimacy, behavior, and strategic capability jointly drive green sukuk adoption. Policy implications emphasize the need for harmonized regulation, behavioral incentives, and digital transparency to strengthen credibility and accelerate sustainable-finance transformation in line with SDGs 7 and 13.

This study aims to analyse the significance of digital services, capital structure and growth opportunities on the financial performance of banks. The population of interest in this study comprises digital banks registered with the Financial Services Authority (OJK) between 2021 and 2023. The sample comprises 12 banks, selected using a non-probability sampling technique and a purposive sampling method. This is a quantitative study, with secondary data sourced from financial and annual banking reports. Multiple linear regression analysis was performed using the IBM SPSS Statistics version 24 computer program. The results of this study indicate that digital services have no significant effect on the financial performance of banks, while capital aspect and growth opportunities have a negative and significant effect on the financial performance of banks.

Mathematics anxiety is a psychological barrier that negatively affects students’ performance and self-confidence. A valid and reliable measurement tool is required to identify this condition accurately. This study aims to examine the construct validity of the Mathematics Anxiety Rating Scale 30 (MARS-30) using a Monte Carlo simulation approach. The research employed first-order confirmatory factor analysis (CFA) through R software with a simulated sample of 300 respondents. The findings revealed that the overall measurement model achieved excellent fit indices, as indicated by Normed χ², RMSEA, SRMR, and CFI, all within the optimal range. Nevertheless, only 8 out of 30 items (26.7%) met the validity criteria, while the remaining 22 items were found invalid. This result suggests that although the global model fit was adequate, most items of MARS-30 did not consistently represent the construct of mathematics anxiety. The implication of this study highlights the necessity of revising the instrument by refining item wording, adjusting indicators, and conducting further testing to ensure stronger construct validity. A more valid instrument will enable educators and researchers to design targeted pedagogical interventions for reducing mathematics anxiety and supporting students’ learning outcomes.

University students frequently face various academic demands, such as coursework, research, field practice, and examinations. These pressures may lead to psychological stress that can trigger anxiety. If not properly managed, anxiety can negatively affect academic performance, social interactions, and students’ psychological well-being. The aim of this study was to examine the relationship between the intensity of Qur’an recitation and the level of anxiety among students. This research employed a quantitative descriptive design involving 103 students from the Department of Psychology, Padang State University as participants. The sampling technique used was nonprobability sampling with a purposive sampling approach. The instruments consisted of the Qur’an Reading Intensity Scale adapted from Pradika (2014) with a reliability coefficient of 0.721, and the Zung Self-Rating Anxiety Scale with a reliability coefficient of 0.829. Data were analyzed using Pearson’s product-moment correlation test. The findings revealed a significant negative correlation between the intensity of Qur’an recitation and students’ anxiety levels (r = -0.801; p = 0.000 < 0.05). This indicates that the more frequently students read the Qur’an, the lower their anxiety levels, and vice versa. Categorization results further showed that most students had a high intensity of Qur’an recitation (42.7%) and experienced low to moderate levels of anxiety (78.7%). These results reinforce previous studies suggesting that spiritual practices such as Qur’an recitation can serve as an effective spiritual coping strategy to foster tranquility, regulate emotions, and strengthen resilience in facing academic stressors. Therefore, Qur’an recitation can be recommended as a complementary approach to maintaining students’ mental health in higher education settings.

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

The limitation of physical memory (RAM) is a primary constraint hindering optimal performance in modern operating systems, especially when running large applications or performing intensive multitasking, often resulting in crashes and high latency. This research aims to quantitatively analyze the effectiveness of Virtual Memory (VM) implementation as a solution to this RAM constraint on the Windows 10 operating system, focusing on VM’s impact on CPU performance, GPU performance, and multitasking response. The methodology employed is a controlled experiment using industry-standard benchmarks: Cinebench R20 (CPU), Unigine Heaven (GPU), and response time measurements in intensive multitasking scenarios. Experimental results demonstrate that VM activation improves CPU/GPU performance by up to 5% and accelerates multitasking response time by up to 15%, confirming VM's effectiveness in mitigating memory bottlenecks. Nevertheless, this study also identifies potential performance overhead stemming from excessive paging and swapping processes, which trigger the phenomenon of Thrashing. Therefore, the research recommends a dual optimization strategy to achieve maximum and stable performance: software optimization via the Least Recently Used (LRU) algorithm to suppress page faults, supported by hardware optimization including the use of an SSD for the swap file and increased RAM capacity.

This study aims to determine the effect of communication and work discipline on employee performance through work supervision as an intervening variable at Jambi Ekspres Televisi. The population in this study consisted of 30 employees, all of whom were used as samples using the total sampling technique. This research employed a quantitative approach with a questionnaire based on a Likert scale, and the data were analyzed using the Partial Least Square (PLS) method through the SmartPLS software. The results showed that communication and work discipline were categorized as good and played an important role in improving employee performance through work supervision. Communication had a positive and significant effect on work supervision, while work discipline also had a positive and significant effect on work supervision. However, communication had a positive but insignificant effect on employee performance. Conversely, work discipline had a positive and significant direct effect on employee performance. Meanwhile, work supervision had a negative and insignificant effect on employee performance. The indirect effects of communication and work discipline on performance through work supervision were also negative and insignificant, indicating that work supervision has not yet played an optimal role as an intervening variable. Based on these findings, it is recommended that the company enhance internal communication effectiveness, strengthen the consistent implementation of work discipline, and optimize the role of work supervision to function more as a coaching and motivational tool, thereby contributing positively to improving employee performance.

Cyberbullying is a form of online violence that is increasingly widespread in the digital era, with serious impacts on adolescent mental health, such as depression, stress, and anxiety. This study aims to examine the impact of cyberbullying on adolescent mental health through a literature review covering 10 accredited journals indexed by SINTA, Google Scholar, and DOAJ. The method used is a literature review with a comparative analysis approach to previous research findings. The results of the study indicate that victims of cyberbullying often experience decreased self-esteem, emotional disturbances such as shame and fear, and decreased motivation to learn. These disturbances can then increase the risk of depression among adolescents. Decreased self-esteem and increased anxiety also impact their academic performance and social engagement. Based on these findings, it can be concluded that cyberbullying is a significant factor threatening adolescent mental health. Therefore, serious attention is needed from various parties, including schools, families, and communities, to provide protection and psychosocial support to victims. Recommended interventions include digital literacy education, family support, and counseling programs that can help adolescents overcome the negative impacts of cyberbullying and prevent lasting effects on their mental health.

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

The synchronization of mutex and semaphore mechanisms is an important technique in operating systems for managing concurrent resource access in multi-threaded environments. In the Android operating system, which relies on thread-based programming to maintain performance and responsiveness, these two mechanisms play a vital role in preventing race conditions and ensuring data integrity. A mutex is a locking object that ensures that only one thread can access a specific resource at a time, while a semaphore controls access to a limited number of resources by counting the number of threads that can access them simultaneously. In Android, these mechanisms are implemented using the Lock class for mutexes and the Semaphore class for semaphores, both of which can be used to control synchronization between threads in Android applications. This paper will discuss the application of these two mechanisms in the context of shared resource management, as well as a comparison of their performance and advantages in dealing with complex multi-threading scenarios on Android. Emphasis will also be placed on the challenges faced in using these two mechanisms in Android applications, as well as how proper programming can avoid deadlocks and improve application efficiency.

This research is motivated by the importance of the role of madrasah supervisors in providing effective supervision to improve the quality of madrasah principals' performance, especially in private Madrasah Tsanawiyah environments. Supervisory supervision not only functions as a quality control tool, but also as a means of coaching, mentoring, and empowering madrasah principals in carrying out managerial, leadership, and school development tasks. The purpose of this study is to analyze how supervisory supervision management can improve the performance of private Madrasah Tsanawiyah principals, as well as to identify the most relevant supervision strategies in supporting the achievement of educational quality. The research method used is a qualitative approach with data collection techniques through interviews, observations, and documentation, which are then analyzed descriptively. The results of the study indicate that the implementation of planned, systematic, and continuous supervisory management has a positive effect on improving the competency of madrasah principals in the aspects of planning, program implementation, and educational evaluation. The findings also show that participatory and communicative supervision can build motivation and a sense of responsibility of madrasah principals in managing institutions effectively. The implication of this research is the need to improve the capacity of madrasah supervisors through training and role strengthening so that supervision can truly drive optimal madrasah principal performance, thus impacting the quality of education in private junior high madrasahs.

Human Resources are a key factor in determining the success of an organization. To improve employee performance, proper management is required, including job rotation and the enforcement of work discipline. This studi aims to determine the influence of job rotation and work discipline on employee performance at the investment and one-stop integrated service office of depok city. This research uses a quantitative approach using a saturated sampling technique. Data were collected through questionnaires distributed to 59 respondents who are employees at the agency. The data analysis techniques used include data quality testing, assumption tests, hypothesis testing, and the coefficient of determinasi. The result showed that job rotation has a positive and significant effect on employee performance. Likewise, work discipline also has a significant positive effect on performance. Simultaneously, both independent variables show a significant influence on employee performance. Based on these results, it can be concluded that proper implementation of job rotation and improved work discipline can make a real contribution to enhancing employee performance in the institution.

Students’ learning outcomes are influenced by various internal and external factors, one of which is learning motivation. This study aims to analyze the relationship between learning motivation and learning outcomes in the Creative Product and Entrepreneurship (PKK) subject among 11th-grade students at SMK Semen Padang. The research employed a quantitative approach with a correlational design. The population consisted of 47 students, all of whom were included as samples using the total sampling technique. Data on learning motivation were collected through a questionnaire, while learning outcomes were obtained from official school records. Data analysis was carried out using descriptive statistics and the Pearson Product Moment correlation test. The results revealed a positive and significant relationship between learning motivation and learning outcomes (r = 0.547 > 0.288; p = 0.000 < 0.05), with a contribution of 29.9%. These findings indicate that the higher the students’ learning motivation, the better their academic performance. This study highlights the crucial role of motivation as a determinant of academic achievement and suggests that teachers should foster students’ learning enthusiasm through engaging and interactive teaching strategies.

This study aims to analyze the influence of profitability as proxied by Return on Equity (ROE), solvency as proxied by Debt to Equity Ratio (DER), and liquidity as proxied by Current Ratio (CR) on firm value as proxied by Price to Book Value (PBV) in the Indonesian food and beverage sector. The study focuses on the 2019-2023 period, a timeframe uniquely defined by the economic disruption of the COVID-19 pandemic and its initial recovery phase. The research method employed is a quantitative approach using multiple linear regression analysis. The sample consists of 10 companies listed on the Indonesia Stock Exchange (IDX), selected through a purposive sampling technique, resulting in 50 firm-year observations. The results indicate that both partially and simultaneously, the variables of profitability, solvency, and liquidity have a significant positive influence on firm value. This finding suggests that during a period of systemic crisis, the capital market places a valuation premium on companies that can demonstrate holistic and comprehensive signals of financial health. The novelty of this research lies in its contextualization of the dynamic role of financial ratios as crucial signals amidst an unprecedented economic shock. This study provides an empirical explanation for why investors prioritized stability and resilience, thereby reconciling conflicting findings in prior literature regarding the impact of liquidity on firm value.

The development of digital technology has significantly changed the way organizations manage human resources (HR), both in the public and business sectors. Organizations are now required to transform from an administrative HR management system to a technology-based strategic role to improve efficiency, competitiveness, and economic productivity. The results show that HR management transformation plays a significant role in improving organizational performance through the implementation of digital technologies such as Human Resource Information Systems (HRIS), people analytics, big data, and artificial intelligence (AI). This transformation can improve work efficiency, accelerate decision-making processes, and encourage innovation and collaboration. In the public sector, human resource digitalization supports bureaucratic reform towards transparent and accountable governance, while in the business sector, it strengthens employee competitiveness and creativity. However, key challenges identified include the digital competency gap, resistance to change, and limited technological infrastructure, particularly in public organizations and developing regions. The study concluded that the success of human resource transformation depends not only on technology adoption but also on organizational cultural readiness, visionary leadership, and the continuous development of digital competencies. Synergy between people and technology is key to achieving sustainable economic productivity in the digital era.

This study aims to determine the influence of occupational safety, occupational health, and work-life balance on the work productivity of employees of CV. Saprotan Utama Semarang. This study uses a quantitative method with a survey research type. Sampling was carried out using the probability sampling method with the number of respondents studied as many as 180 employees. The data collection process was carried out by distributing questionnaires directly to the performance of CV. Saprotan Utama Semarang employees. This study uses IBM SPSS 26 software with multiple regression tests as a hypothesis testing method. The results of the analysis and discussion show that the variables have a positive and significant influence between Occupational Safety, Occupational Health, and Work-life Balance on employee work productivity. The results of the analysis show that the Occupational Safety variable has a significant positive effect on employee work productivity with a significance value of 0.37, Occupational Health has a significant positive effect on employee work productivity with a significance value of 0.009, and Work-life Balance has a significant positive effect on employee work productivity with a significance value of 0.000.

This study focuses on evaluating the contribution of management accounting to improving efficiency within the corporate governance framework at PT Ace Hardware Indonesia Tbk. As one of the leading companies in the household goods retail sector, PT Ace Hardware is required to consistently apply the principles of good corporate governance in a sustainable, accountable, and transparent manner. Management accounting plays a vital role by providing accurate, relevant, and reliable financial and non-financial information to support managerial functions such as planning, controlling, and decision-making. Through effective cost reporting, budgeting, and performance evaluation, management accounting contributes significantly to strengthening operational efficiency and organizational competitiveness. The methodological approach adopted in this study is a literature review, involving the analysis of various academic references, corporate documents, and governance-related publications. The results show that optimal utilization of management accounting can enhance strategic decision-making, improve operational performance, and reinforce accountability and transparency within the company’s governance structure, supporting sustainable business growth.

Lecturers are a key element in improving the quality of education in higher education. Effective assessment of lecturer performance is essential for evaluation and improvement of education quality. Instituito Profissional de Canossa (IPDC) evaluates lecturer performance through manual methods involving students, this process often produces inaccurate data and slows down decision making. For this reason, a decision support system is needed that can accommodate all the criteria needed in decision making using the promethee method to assess lecturer performance. Promethee was chosen in this research because of its ability to consider data characteristics and provide more accurate results. This DSS will consider three assessment criteria, including education, community service and research. The results of the DSS implementation with the Promethee method can provide recommendations for lecturer performance rankings that help the quality assurance team in identifying outstanding lecturers.

Bea Cukai has recently been in the public spotlight, especially regarding the supervision of goods from abroad. News and public responses regarding Bea Cukai's supervision create pros and cons, thus triggering a variety of responses from the public. This study aims to analyze the sentiment of Indonesian people towards the performance of Bea Cukai in monitoring goods from abroad by utilizing Twitter social media. In this research, the Support Vector Machine (SVM) algorithm is applied to classify public comments on Twitter into positive or negative sentiments. Through the crawling process carried out from June 1, 2023, to May 12, 2024, 9,051 entries of data were collected. The analysis results showed an accuracy of 93.87%, precision 94%, recall 93%, and F1-score 94%. These results show that the SVM method is effective in analyzing public sentiment, especially related to Bea Cukai's supervision.