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One of the most actively traded and liquid stock groups in the capital market is the LQ45 index, which consistently attracts investor attention due to its strong market capitalization and transaction volume. This study aims to analyze the influence of financial performance and financial management strategies on firm value among companies listed in the LQ45 index on the Indonesia Stock Exchange during the 2018–2022 period. The study population consisted of 73 LQ45-indexed companies, with purposive sampling used to select 23 companies that met the research criteria. This research employed a quantitative approach using path analysis to examine both direct and indirect relationships among variables. The findings indicate that profitability and leverage have a positive and significant effect on firm value. In addition, profitability and leverage also positively influence firm size, indicating that companies with stronger profitability and effective debt management tend to expand their operational scale. However, firm size does not significantly affect firm value and is unable to mediate the relationship between profitability, leverage, and firm value. These results suggest that investors place greater emphasis on profitability and leverage indicators than company size when evaluating firm value in LQ45 companies. Therefore, effective financial performance remains the primary factor in enhancing corporate value and investor confidence.

This study aims to evaluate the application of environmental management accounting in the management of work programs at the Bangkalan Regency Environmental Agency. The research is motivated by increasing environmental problems, particularly waste volume and limited management facilities, while environmental management accounting has the potential to assist agencies in identifying, measuring, and reporting environmental costs as a basis for decision-making and public accountability. This study used a qualitative method with a case study approach at the Bangkalan Regency Environmental Agency. Data were collected through interviews, observations, and documentation studies. The results show that the Environmental Agency has implemented environmental management accounting, but its recording is still manual and does not separate environmental costs from general operational costs. This condition complicates cost evaluation and program impact assessment. Work program management has been structured and evaluated regularly, but performance measurement still focuses on output, not long-term environmental impact. Information transparency is also still limited to activity publications. Overall, the application of environmental accounting is at a basic stage and has not been fully integrated into the work program planning and evaluation process. The findings of this study provide theoretical and practical implications in the form of strengthening understanding of the role of environmental management accounting and the need to improve the work program recording and evaluation system at the Bangkalan Regency Environmental Agency.

This study aims to analyze the impact of the USD/CNY exchange rate and the Federal Reserve interest rate on the stock returns of Volkswagen AG. Volkswagen AG is chosen as the object of analysis because it is a multinational corporation with significant exposure to the Chinese market, making it highly sensitive to fluctuations in global economic conditions, particularly exchange rate movements and monetary policy changes. The study adopts a quantitative research approach using multiple linear regression analysis to examine the relationships between variables. The data used are monthly secondary data covering the period from 2017 to 2023, resulting in 84 observations. The dependent variable in this study is Volkswagen AG stock returns, while the independent variables consist of the USD/CNY exchange rate and the Federal Funds Rate. The empirical results show that the USD/CNY exchange rate has a negative and statistically significant effect on Volkswagen AG stock returns, indicating that currency depreciation or appreciation plays a crucial role in influencing investor sentiment and firm valuation. In contrast, the Federal Funds Rate does not show a statistically significant effect on stock returns during the observed period. However, the simultaneous test indicates that both variables jointly have a significant influence on Volkswagen AG stock returns. Overall, the findings suggest that exchange rate risk is more dominant than U.S. monetary policy in affecting the stock performance of Volkswagen AG over the study period.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This study explores how the integrated Resource-Based View (iRBV) and Dynamic Capabilities (DC) explain the early stage of SME internationalization in Indonesia. An exploratory single-case study design is employed on a koi-breeding SME that has engaged in export activities, using a Likert-scale questionnaire to identify VRIN resources, dynamic capabilities, export performance, and internationalization barriers. The findings indicate that the SME possesses relatively strong export market knowledge, network competence, and quality reputation, but remains weak in global certifications, administrative support, and logistical capacity. From a DC perspective, sensing and seizing capabilities are already developed, whereas transforming capability is still limited in terms of reconfiguring the business model, strengthening human resources, and institutionalizing export routines. Overall, the results underscore that the success of SME internationalization is determined not only by the ownership of internal resources, but also by the firm’s ability to reconfigure those resources in the presence of environmental and institutional constraint.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

This study is motivated by the limited public understanding of the symbolic meaning of properties used in the Grombyang Dance of Pemalang, where most audiences merely enjoy the performance without recognizing the cultural values embedded within it. This research aims to examine and explain the symbolic meanings of the properties used in the Grombyang Dance of Pemalang as performed at Sanggar Seni Kaloka Pemalang. The method employed is a descriptive qualitative approach using semiotic analysis based on Charles Sanders Peirce, with data collection techniques including observation, interviews, and documentation. The results of the study indicate that the performance structure of the Grombyang Dance of Pemalang consists of three main parts: the opening, the core, and the closing, supported by various elements such as theme, movement, performers, makeup, costume, musical accompaniment, stage setting, and properties. The semiotic analysis reveals that the symbolic meaning of the properties can be understood through the relationship between representamen, object, and interpretant. The main property, the irus (ladle), functions as a symbol that not only represents the act of scooping Grombyang soup but also carries a belief-related meaning as a bringer of fortune in trading activities. In conclusion, the properties in the Grombyang Dance of Pemalang serve not only as aesthetic elements but also as a medium of symbolic communication that reflects cultural, social, and belief values within the community. Therefore, they are important to be preserved and more deeply understood by the public.

This study analyzes the influence of Green Accounting, Environmental Performance, and Corporate Governance on the Quality of Sustainability Reports in manufacturing companies listed on the Indonesia Stock Exchange (IDX). Report quality is measured by the completeness and transparency of disclosures based on GRI Standards. A quantitative method is employed, using a purposive sample of manufacturing firms from the 2020- 2023 period. Data is analyzed using multiple regression analysis. Green Accounting is proxied by environmental costs, Environmental Performance by PROPER ratings, Corporate Governance by the proportion of independent commissioners and institutional ownership, while report quality is measured through content analysis. The hypothesized results indicate that all three independent variables are expected to have a significant positive effect on Sustainability Report Quality. The implementation of green accounting, good environmental performance, and strong governance are predicted to enhance the quality of sustainability disclosures. This research contributes to environmental accounting literature and offers practical implications for regulators, investors, and corporate management in the context of ESG (Environmental, Social, and Governance) reporting.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

Leadership is an essential element in human life, particularly within a social and organizational context. Transformational leadership plays a vital role in shaping the performance and motivation of organizational members. This research adopts a descriptive qualitative method with a case study approach, enabling a deep and systematic exploration of leadership phenomena. The study aims to analyze the implementation of transformational leadership in the Student Association of the Management Department (HIMA) at Universitas Muhammadiyah Bandung for the 2024–2025 period. Based on the theory proposed by McShane and Von Glinow (2010), the results indicate that transformational leadership has a positive contribution to organizational engagement, motivation, and teamwork among student leaders.  

The implementation of predictive maintenance supported by SAP Plant Maintenance (SAP PM) at PT Xyz has proven to be effective in reducing machine downtime, lowering maintenance costs, and improving asset reliability. The integration of SAP PM with Industry 4.0 technologies such as IoT sensors, AI-based analytics, and real-time notification systems strengthens operational efficiency and ensures continuous performance. Empirical results show improvements in key performance indicators, including a 20-25% reduction in downtime, a 30% reduction in maintenance costs, an increase in asset availability to 97%, an MTBF extension of up to 511 hours, and an OEE rate of 92.1%. These findings highlight the strategic role of digital predictive maintenance in increasing competitiveness and supporting long-term sustainability in manufacturing operations.

This study was conducted to determine the best log-linear model describing the relationship between gender, sleep duration, extracurricular activities, and student learning outcomes at SMAN 1 Kualuh Hulu. A log-linear analysis approach was used to identify interaction patterns among the variables and evaluate their contribution to student academic performance. The findings showed that the selected model adequately explained the structure of the observed data. A significant three-way interaction was identified between learning outcomes, sleep duration, and gender. The results indicated that insufficient sleep duration had a negative impact on student learning outcomes, and this effect varied by gender. Female students were found to be more vulnerable to decreased academic performance caused by sleep disturbances compared to male students. Meanwhile, extracurricular activities did not demonstrate a significant direct interaction with learning outcomes. This suggests that participation in extracurricular activities was not a major factor influencing differences in academic achievement among students at SMAN 1 Kualuh Hulu.

This study is motivated by the importance of the principal’s leadership role in improving the effectiveness of organizational management in Early Childhood Education (ECE) institutions. As an educational leader, the principal is responsible for organizing, directing, and coordinating all available resources in ECE institutions to ensure they function effectively and efficiently. The aim of this study is to analyze the influence of principal leadership on ECE organizational management. The research method used is a qualitative approach with data collection techniques including observation, interviews, and documentation studies. The findings indicate that effective principal leadership, particularly democratic and participatory leadership styles, has a positive influence on improving the quality of ECE organizational management in terms of planning, organizing, implementation, and program evaluation. In addition, effective leadership also enhances teacher performance and creates a conducive working environment. The implication of this study suggests that improving the leadership competence of principals is essential to support the optimal management of ECE institutions.

Integrity is a fundamental value in realizing clean, transparent, and accountable public sector governance. Various integrity assessment instruments have been implemented in the public sector in Indonesia, such as the Integrity Assessment Survey (SPI) by the Corruption Eradication Commission (KPK), the Integrity Zone (ZI) by the Ministry of Administrative and Bureaucratic Reform (PANRB), and IntoSAINT developed by INTOSAI. However, all three still have limitations. This study aims to analyze the strengths and weaknesses of these three instruments and develop an alternative assessment tool, the Integrity Assessment Tool (IAT), which can be an alternative choice to the integrity assessment model in Indonesia. This study uses a qualitative descriptive approach through literature studies and analysis of integrity policy documents, with a theoretical foundation of the OECD Integrity Framework and the Anti-Bribery Management System (SNI ISO 37001). The results show that the Integrity Assessment Tool is able to assess organizational integrity comprehensively and objectively through four main dimensions: history, performance, potential, and perception. This approach integrates quantitative, qualitative, and psychometric aspects to produce a more accurate and sustainable picture of the integrity position of public sector organizations. Theoretically, this research enriches the study of public sector integrity management, while practically, it provides guidance for government agencies in building a measurable, systematic, and sustainable integrity evaluation system as a basis for establishing a national model for integrity assessment.

The financial performance of MSMEs is the result of a business's success in sustaining itself thru financial management. This research aims to provide information on the impact of financial literacy, payment gateways, and financial inclusion on the financial performance of MSMEs. This investigative activity involves two types of variables: independent variables consisting of financial literacy, payment gateways, and financial inclusion, while the financial performance of MSMEs is the dependent variable. Food and beverage MSMEs under the auspices of Rumah BUMN are the study population, totaling 337. The method for determining the sample size was determined using Slovin's formula, and sampling was conducted using specific criteria, resulting in a sample size of 77 respondents. The data analysis technique involves multiple linear regression analysis. This research activity found that each of the variables used, namely financial literacy, payment gateway, and financial inclusion, has a significant positive impact on the financial performance of MSMEs. The coefficient of determination shows that 91.3% of the variables of financial literacy, payment gateway, and financial inclusion are able to explain the financial performance variable of MSMEs.

This study aims to examine the effect of Islamic financial literacy, green orientation, Islamic business ethics, and sustainable innovation on the sustainability performance of fashion SMEs in Yogyakarta, Indonesia. This research adopts a quantitative approach using a survey method, with data collected from 200 fashion SME owners selected through purposive sampling. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that all proposed variables significantly influence sustainability performance. Sustainable innovation emerges as the most influential factor, followed by green orientation, Islamic business ethics, and Islamic financial literacy. These results indicate that the integration of sustainability-oriented practices and Islamic values plays a crucial role in enhancing the long-term performance of SMEs. From a theoretical perspective, this study contributes to the literature by integrating Resource-Based View and Dynamic Capabilities Theory in explaining sustainability performance within an Islamic context. Practically, the findings suggest that SME owners should strengthen their understanding of Islamic principles, adopt environmentally friendly practices, and foster innovation to achieve sustainable competitiveness. This study provides a novel framework by combining Islamic values and sustainability perspectives, particularly in the context of fashion SMEs in a developing country. Future research is recommended to incorporate moderating variables such as government support and digital capability to enrich the model.

This research is motivated by the issue of employee productivity at Estetiderma Clinic Bekasi, as indicated by the unmet distribution target data during the 2021–2024 period. In addition, there are indications that improvements are needed in the effectiveness of recruitment methods and employee work discipline, as reflected in the attendance data. The purpose of this study is to determine whether recruitment (X1) and work discipline (X2) have an effect on employee productivity (Y), either partially or simultaneously, at Estetiderma Clinic Bekasi. The research method used is associative quantitative research. The population and sample consist of all 130 employees of Estetiderma Clinic Bekasi. The data analysis techniques employed include multiple linear regression analysis, correlation coefficient analysis, coefficient of determination, and hypothesis testing (t-test and F-test). The results of the study show that: (1) the recruitment variable (X1) has a t-value of 9,503 > t-table 1.978 and a significance value of 0.000 < 0.05, indicating a positive and significant effect of recruitment on employee productivity; (2) the work discipline variable (X2) has a t-value of 13,154 > t-table 1.978 and a significance value of 0.000 < 0.05, indicating that work discipline has a positive and significant effect on employee productivity; and (3) the simultaneous F-test result shows an F-value of 114.347 > F-table 3.067 with a significance value of 0.000 < 0.05, which means that recruitment and work discipline simultaneously have a significant effect on employee productivity. These two variables contribute 64.3% to employee productivity, while the remaining 35.7% is influenced by other factors not included in this study.

Digital transformation has brought fundamental changes to the structure and dynamics of modern industrial economics. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data not only modify production and distribution processes but also revolutionize marketing strategies and patterns of industrial competition. This study is motivated by the need to understand how digital marketing transformation influences the development of competitive advantage through changes in digital market structure from an industrial economics perspective. In this context, digital marketing functions as a strategic instrument that integrates technology, data, and consumer behavior into market mechanisms. The analysis shows that digitalization creates a network-based market structure characterized by the concentration of economic power in major digital platforms and dominance in data control. This structure affects the intensity of competition, the direction of innovation, and patterns of industry differentiation. Digital marketing transformation enhances efficiency, expands market access, and lowers entry barriers for new players, yet it also creates competitive imbalances due to the dominance of large platforms.Through a digital Structure–Conduct–Performance (SCP) approach, the study finds that market structure acts as an intermediary variable that channels the impact of digitalization on competitive advantage. Digitalization significantly promotes industrial efficiency, innovation, and profitability. Proposed strategic solutions include strengthening digital literacy, developing adaptive regulations, and fostering cross-sector collaboration to create an inclusive, competitive, and sustainable digital industrial ecosystem

Digital transformation in the public sector encourages civil servants to utilize technology not only for administrative purposes but also to improve efficiency, accuracy, and work performance. This study examines the influence of Intelligent Learning-Based Training and Digital Training Components on the Digital Productivity of civil servants at the Bureau of Economic Affairs of the Regional Secretariat of Lampung Province, with Adaptive Competence serving as a mediating variable. A quantitative approach with a non-experimental survey design was applied, and data were collected through structured questionnaires distributed to employees engaged in digital-based work activities. The data were analyzed using structural model testing procedures. The findings reveal that Intelligent Learning-Based Training does not significantly influence Adaptive Competence or Digital Productivity. Conversely, Digital Training Components positively and significantly affect both Adaptive Competence and Digital Productivity. Adaptive Competence also has a positive impact on Digital Productivity and mediates the relationship between Digital Training Components and Digital Productivity. However, Adaptive Competence does not mediate the relationship between Intelligent Learning-Based Training and Digital Productivity. These results indicate that civil servants’ digital productivity is more effectively improved through practical, relevant, accessible, and well-evaluated digital training programs than through intelligent learning systems alone. Therefore, public institutions are encouraged to develop digital training initiatives that align with employees’ daily work demands while strengthening their adaptive competence in responding to technological changes.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas