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Improving the quality of education is one of the main priorities in developing a highly competitive human resource. In this context, excellent leadership serves as a key element that determines the direction, strategy, and success of educational transformation across all levels of education, from primary education to higher education. This article examines the urgency of visionary, inspirational, and adaptive leadership in driving the improvement of educational quality in a dynamic and complex era of change. Using a qualitative approach through literature review, policy document analysis, and observation of leadership practices, the study finds that effective educational leadership can foster a positive organizational culture, enhance motivation and participation among all stakeholders, and optimize innovation and professionalism among educators. Beyond managerial skills, excellent leadership is characterized by moral integrity, communication proficiency, collaborative abilities, and strategic decision-making skills that significantly impact learning quality. The findings indicate that educational reform cannot succeed without strong, consistent, and quality-oriented leadership. Furthermore, the development of leadership capacity within the educational ecosystem, including school principals, higher education leaders, and program administrators, should be a priority agenda in formulating policies and educational practices in Indonesia. Therefore, this article provides important implications for policymakers, educational practitioners, and researchers to design sustainable, innovative, and responsive leadership development programs. It also emphasizes the significance of leadership as a key factor in achieving high-quality, sustainable education capable of competing at the global level. The study underscores that investing in leadership development is not only a strategy to enhance educational outcomes but also a necessary step in ensuring that Indonesia’s education system can adapt to rapid changes and meet international standards.

Environmental management auditing is a strategic tool used to assess an organization’s performance in environmental management. Its main objectives are to enhance compliance with regulations, identify environmental risks, and strengthen corporate social responsibility. This study uses a bibliometric approach to analyze trends and research opportunities in the field of environmental management auditing during the period 2015–2025. Utilizing the Publish or Perish and VOSviewer software, this study examines 200 publications obtained through Google Scholar, revealing citation patterns, author collaborations, and frequently occurring keywords in the literature. The analysis results show that topics such as auditing, disclosure, governance, and big data dominate the existing literature, reflecting significant attention to transparency and data management in environmental audits. Additionally, there is a noticeable shift toward the use of technology in environmental auditing practices, including the use of big data and analytics to support audit processes. Bibliometric visualization also identified several areas with low density, such as implementation and environmental information, indicating potential research opportunities. This suggests that although significant research has been conducted, there is still room for further development, particularly regarding the implementation of environmental management audits across various industries. This study provides valuable insights into the development of more adaptive, multidisciplinary environmental auditing strategies that align with sustainable development goals.

This study aims to analyze the structure and composition of vegetation on the banks of the Ira River (Wae Ira), Negeri Kamarian, Kairatu District, West Seram Regency. Riparian vegetation plays an important role in maintaining the stability of river ecosystems, both in terms of ecological, hydrological, and biodiversity aspects. The method used in this study is a combination of the continuous strip sampling method and the line plot sampling method, which are applied to four levels of vegetation growth, namely seedlings, saplings, poles, and trees. The results of the analysis show that the vegetation structure in the study area is divided into four strata, with varying species compositions in each stratum. The dominant species found include Pulai (Alstonia scholaris), Pulaka (Cyrtosperma merkusii), Buah rao (Dracontomelon mangiferum), and Salam (Syzygium polyanthum). The highest Importance Value Index (INP) at the tree level is owned by Pulai (Alstonia scholaris) at 54,2. The highest vegetation density is at the seedling level with 52000 individuals/ha and the lowest at the tree level with 341 individuals/ha. The Shannon-Wiener diversity index (H') ranges from 1.87–2.65, indicating a moderate level of diversity. The results of this study indicate that the Ira River border area still has a relatively good vegetation structure and composition, although there are ecological pressures that cause dominance by certain species

As an archipelagic country, Indonesia has significant potential for the utilization of renewable energy, particularly wind energy in maritime areas with low wind speeds (3–6 m/s). This study aims to design and test a vertical Savonius wind turbine system equipped with a Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm as a power source for shipboard water heating systems. The research method applied is Research and Development (R&D), integrating several components such as a DC generator, full-wave bridge rectifier, INA219 current sensor, anemometer cup sensor, ESP32 microcontroller, and a monitoring interface utilizing Google Spreadsheet and a 20x4 LCD. The system was tested under two operating conditions: without MPPT and with MPPT. The experimental results show that the application of the MPPT algorithm successfully increased power output by up to 272.64% while maintaining voltage stability despite varying wind speeds. Nevertheless, the average output power of 2.605 W remained insufficient to meet water heating requirements within a short time. For example, charging a 12V 50Ah battery would require approximately 9.6 consecutive days of operation, highlighting the system’s limitations in high-demand scenarios. Despite these constraints, the findings demonstrate that the vertical Savonius wind turbine integrated with MPPT has strong potential as a clean and environmentally friendly alternative energy solution for maritime applications, particularly for small-scale onboard electrical loads. This study contributes to renewable energy utilization in the shipping sector and provides a foundation for further technological development and optimization.

This preliminary study was conducted as the foundation for developing an animated video-based learning media using Canva. The main objective of this research is to present the initial data collected during the early investigation phase, which will serve as the basis for creating innovative, research-based learning media in the future. The development model applied in this research is the Plomp model, and the study has currently reached the preliminary investigation stage. Data were collected using several instruments, including interviews, classroom observations, and student needs assessment questionnaires. The results of the needs assessment revealed that the learning media currently used in schools is considered less effective, leading to difficulties for students in understanding the subject matter. Furthermore, 91.33% of students agreed that the development of an animated video-based learning media using Canva would be beneficial and support the learning process. These findings indicate a strong need for engaging, interactive, and technology-integrated learning media. The selected topic for development is “Food and the Digestive System,” which is part of the curriculum for grade XI students in senior high schools (SMA/MA), as this topic is often perceived as challenging. By utilizing Canva to create animated videos, it is expected that students’ learning motivation, conceptual understanding, and classroom engagement will significantly improve. The results of this preliminary study serve as an essential foundation for the next stages of development, ensuring that the final product will provide an effective and enjoyable learning experience tailored to students’ needs.

Pulau Ketam, a small fishing village in Selangor, Malaysia, faces persistent economic challenges despite its abundance of marine resources and longstanding tradition of herbal knowledge. Limited access to modern markets, dependence on middlemen, and a lack of digital literacy have restricted the community’s ability to fully benefit from its local assets. This study aims to explore the implementation of digital branding strategies as a means of empowering local communities and strengthening the marketing of seafood and herbal products. Employing a community-based participatory approach, the research integrates digital marketing training, brand development workshops, and the establishment of an e-commerce platform tailored to local needs. Data collection was carried out through surveys of 150 local entrepreneurs, focus group discussions with community leaders, and performance metrics analysis over a six-month period. The intervention generated a 65% increase in online sales, a 40% improvement in product visibility, and notable progress in community digital literacy. Findings reveal that structured digital branding programs not only enhance entrepreneurial capacity and market competitiveness but also support the preservation of cultural identity and traditional knowledge systems. This study contributes to the growing body of literature on rural digital transformation by providing empirical evidence that community empowerment through technology adoption can lead to sustainable economic development. The results suggest that similar models can be replicated in other marginalized communities to bridge digital gaps, strengthen local economies, and promote inclusive growth.

This study aims to analyze the effect of job satisfaction and organizational commitment on employee productivity at the Semarak Dana Mojokerto Savings and Loan Cooperative.  The problem of low discipline and performance of marketing staff is an important background, given the limited empirical studies on human resource factors in micro cooperatives in Indonesia.  This study uses a quantitative approach with a total sampling technique on 35 respondents.  The instrument, in the form of a questionnaire, consisted of 28 statement items measured on a 1–5 Likert scale, with validity and reliability tests showing good results (Cronbach's Alpha > 0.70). Multiple linear regression analysis was used with the help of SPSS 26. The results of the study show that job satisfaction has a significant positive effect on productivity (β = 0.723, p < 0.05), as does organizational commitment (β = 0.555, p < 0.05). Simultaneously, these two variables contribute to an increase in employee productivity with a coefficient of determination of 77.8%.  These findings support the theories of Locke (1976) and Meyer & Allen (1991) and are in line with previous studies, although the context of micro cooperatives provides unique characteristics. The practical implications of this study encourage cooperatives to strengthen their reward systems, provide training, and improve work SOPs, particularly in marketing services. The limitations of this study lie in the small sample size and cross-sectional design. Future research is recommended to use a larger sample, a longitudinal approach, and include moderator variables such as work motivation or organizational culture.

This study aims to analyze the performance of state-owned enterprises (BUMN) from a financial aspect based on the financial ratios stated in the Ministerial Decree No. KEP-100/MBU/2002 at PT. Adhi Karya (Persero) Tbk for the 2019-2023 period. This type of research is quantitative descriptive research. Using secondary data in the form of related company financial reports. The sampling technique was carried out using the purposive sampling method and obtained 5 financial reports from the company PT Adhi Karya (Persero) Tbk for the 2019-2023 period. The results of the study showed that the ROE calculation results experienced a drastic decline in 2020 with a value of 0.43% and began to increase in the following years, ROI increased in 2021 with a value of 22.99% but decreased again in the following year and showed unstable performance, The cash ratio showed significant growth and reached its highest value in 2023 at 18.03%, the current ratio showed unstable performance, reaching its lowest point in 2021 at 101.52%, The collection period value reached its highest point in 2023 with a total of 124.06 days, inventory turnover experienced an increase in performance so that in 2023 it was recorded at 103.37 days, TATO showed unstable performance reaching its lowest value in 2022 with a value of 87.36%, and Total Equity to Total Assets reached its lowest value in 2021 at 14.18% and began to increase in the following year.

This study aims to analyze the prediction of financial distress using the Altman Z-Score, Springate, and Zmijewski methods at PT Sri Rejeki Isman Tbk in 2019-2023. This type of research is descriptive research with a quantitative approach. Using secondary data with documentation techniques and literature studies in the form of related company financial reports, books, articles, journals and other publications related to the research topic. The sampling technique was carried out using a purposive sampling method. The sample in this study was obtained using a purposive sampling technique and obtained as many as 5 financial reports from the company PT Sri Rejeki Isman Tbk for the period 2019-2023. The results of the study show that the results of calculations using the Altman Z-Score method indicate that in 2019-2023 PT Sri Rejeki Isman Tbk experienced fluctuations in the company consistently still in the category of bankruptcy, the Springate method shows that the company experienced a decline in its financial performance, and the Zmijewski method shows that companies that experience fluctuations in financial performance conditions, Although there are fluctuations in the X-Score value and improvements in certain years.

This community service activity aims to improve the literacy of residents in Penambangan Village through the implementation of a QR Code-based digital library at the Educational Center. The background of this program lies in the low level of literacy in rural areas, which is strongly influenced by the limited access to reading materials and the absence of library facilities. In the current digital era, the need for fast, easy, and affordable access to information has become increasingly important. Therefore, the application of simple technology such as QR Codes is considered an innovative solution to bridge the literacy gap between rural and urban communities. The method used in this activity was Participatory Action Research (PAR), which emphasizes active involvement of the community. The stages of the program consisted of initial observation to identify literacy needs, collaborative planning with local residents, implementation of the QR Code-based digital library, and reflection to evaluate achievements and challenges. This method ensured that the community was not only an object but also an active subject in the process of improving literacy. The results show an increase in reading interest and access to digital literacy, especially among young people. QR Codes installed at several strategic points enabled residents to access various digital reading resources using smartphones. Nevertheless, some obstacles were identified, including limited internet infrastructure and low digital literacy among the older population. Despite these challenges, the program successfully demonstrated that simple, technology-based approaches can significantly enhance literacy in rural areas. In conclusion, the implementation of a QR Code-based digital library supported by a PAR approach can serve as an effective alternative to increase literacy in rural communities. The success of the program strongly depends on collaboration among local residents, academics, and stakeholders to ensure its sustainability in the long term.

This study aims to analyze the effect of Service Quality, Price Perception, and Facilities on Customer Satisfaction at Barbershop Alsasumo Batam. The method used in this study is quantitative, with primary and secondary data collected through questionnaires. A sample of 243 respondents was determined using Slovin's formula and simple random sampling technique. Data analysis was performed using SPSS 27 software. Based on regression analysis, the following regression equation was obtained: Y = 0.172 + 0.401X1 + 0.367X2 + 0.284X3 + e. The results of the study indicate that Service Quality (X1), Price Perception (X2), and Facilities (X3) have a positive and significant impact on Customer Satisfaction (Y). The t-values for each variable are 8.504 for Service Quality, 8.725 for Price Perception, and 6.939 for Facilities, with a t-table value of 1.969. Simultaneously, all three independent variables significantly influence Customer Satisfaction with an F-value of 136.457, which is higher than the F-table value of 2.65. The coefficient of determination (R²) of 0.631 indicates that 63.1% of the variation in Customer Satisfaction is explained by these three variables, while the remaining 36.9% is influenced by other factors not covered in this study. These findings emphasize that Service Quality, Price Perception, and Facilities significantly affect Customer Satisfaction at Barbershop Alsasumo Batam.

Attendance is an essential activity in both educational institutions and companies, serving as an indicator of discipline, presence, and individual responsibility. Conventional attendance systems that still rely on manual journals often face several problems, such as vulnerability to manipulation, data loss, and physical damage. Meanwhile, modern methods such as fingerprint, QR code, RFID, and GPS are not entirely ideal since each has its own limitations in terms of cost, accuracy, user convenience, and potential misuse. For instance, fingerprint systems raise hygiene concerns due to shared use, while QR code and GPS methods are prone to fraud and location spoofing. To address these challenges, this study proposes a face-based attendance simulation system by integrating the YOLOv8 algorithm for face detection and Local Binary Pattern Histogram (LBPH) for face recognition. YOLOv8 was chosen for its ability to detect faces in real time with high speed and accuracy, while LBPH is employed for face recognition due to its robustness in handling variations in facial features and its relatively low computational requirements. This makes the system efficient even when implemented on medium-specification devices. The system was tested on 25 participants with a total of 250 attendance attempts. Based on the confusion matrix analysis, the system achieved outstanding performance with 98.4% accuracy, 98.4% precision, 100% recall, and a 99.2% F1-score. Furthermore, the system automatically recorded attendance dates and times with an average latency of 69.185 ms, proving its capability to operate quickly and reliably in real-world scenarios. Nevertheless, several limitations were observed, such as decreased accuracy when the face moved too quickly during image capture, as well as potential performance degradation under extreme lighting conditions. Despite these challenges, the proposed system demonstrates excellent performance and offers a promising solution for efficient, hygienic, and fraud-resistant attendance management applicable to both educational and professional environments.

The research findings indicate that, on a partial basis, only the Work-Life Balance variable has a significant effect on employee performance, with a significance value of 0.029 and a t-value of 2.311. In contrast, the Physical Work Environment and Interpersonal Communication variables show no significant impact, with significance values of 0.774 (t-value -0.290) and 0.217 (t-value 1.264), respectively. Simultaneously, the three variables do not exhibit a significant influence on performance, as evidenced by a significance value of 0.056 on an F-value of 2.845. The coefficient of determination (Adjusted R²) of 0.240 suggests that the model explains only 24% of the variability in employee performance. These results imply that employee performance at PT Daihatsu Jolo Abadi is more strongly influenced by work-life balance than by the physical work environment or social interactions in the workplace. Therefore, strengthening work-life balance should be a strategic priority for enhancing performance, alongside exploring other relevant variables for future studies.

This study aims to analyze the effect of communication and work environment on employee morale at the Maritime Affairs and Fisheries Service of Bima Regency. A quantitative approach was employed using a Likert-scale questionnaire distributed to 80 respondents selected through purposive sampling. Data were analyzed using multiple linear regression with SPSS for Windows. The results reveal that communication (β = 0.551; t = 18.459; p < 0.05) and work environment (β = 0.401; t = 16.786; p < 0.05) have a significant partial effect on employee morale. Simultaneously, these two variables contribute 94.4% to the increase in employee morale (R² = 0.944; F = 43.288; p < 0.05). These findings indicate that effective communication and a supportive work environment can enhance motivation and productivity among public sector employees. The practical implication of this study suggests that organizational management needs to improve the quality of internal communication and create a conducive work environment to optimize organizational performance.

This study aims to examine the effect of firm size, profitability, capital structure, and asset structure on firm value in the food and beverage subsector listed on the Indonesia Stock Exchange for the 2019–2023 period. This causal research employs secondary data obtained from annual reports and applies purposive sampling, resulting in 13 companies with a total of 65 observations. Multiple linear regression analysis was conducted after passing classical assumption tests. The findings indicate that profitability and capital structure have a significant positive effect on firm value, while asset structure has a substantial adverse effect. Firm size shows no significant impact on firm value. These results suggest that efficiency has a greater influence on firm value in resource utilization and financial structure management than the size of assets owned. This study contributes to the corporate finance literature, particularly in the context of Indonesia’s food and beverage industry. It provides practical implications for managers and investors in making informed investment decisions.

Unstable financial conditions in insurance companies can serve as an early indicator of potential bankruptcy, which may have wide-ranging impacts on policyholders, shareholders, and the overall stability of the financial sector. Therefore, early detection of bankruptcy risk is critically important. This study aims to evaluate the effectiveness of the Springate model in identifying potential bankruptcy among insurance companies listed on the Indonesia Stock Exchange during the 2022–2024 period. The Springate model was chosen due to its simplicity and its ability to provide quantitative insights into a company's financial condition. Data were collected from the annual financial statements of 16 companies selected through purposive sampling based on the completeness and consistency of their financial reporting. The model applies the S-Score calculation as the basis for classifying companies into financial distress or non-financial distress categories. The analysis revealed that six companies consistently exhibited signs of financial difficulty, with three of them identified as being in a state of financial distress for three consecutive years. Meanwhile, the other ten companies demonstrated stable and healthy financial conditions throughout the observation period. These findings indicate that the Springate model is reasonably practical as an early detection tool for bankruptcy risk, particularly in the insurance sector, which is influenced by various internal factors such as risk management, as well as external factors like economic fluctuations and government regulations. Therefore, this model can be utilized as a decision-support tool for both management and investors in making strategic financial decisions.

The main issue addressed in this study is the gap between normative policies and actual practices regarding gender mainstreaming (GMS) at the Education Office of Tangerang Regency. The aim of this study is to analyze the implementation of GMS policies using Smith's theory, which includes ideal policy indicators, target groups, implementing organizations, and environmental factors. This research uses a descriptive method with a qualitative approach. Data collection techniques include in-depth interviews, observations, and documentation. The results show that first, the ideal policy is outlined in Regent Regulation No. 10 of 2019; however, it has not been systematically elaborated in the Strategic Plan (RENSTRA) and Work Plan (RENJA) of the Education Office, limiting its implementation. Second, the target groups, such as teachers, students, and the general public, have not fully understood the concept of GMS, as the dissemination of information remains minimal and unfocused. Third, the implementing organization, the Education Office, has not yet optimized coordination in implementing GMS with schools, nor provided comprehensive, specialized training. Fourth, environmental factors, such as strong gender stereotypes, limited gender-friendly facilities, and low public awareness, are significant challenges in the policy’s implementation. Based on these findings, it can be concluded that the implementation of GMS policies at the Education Office of Tangerang Regency remains symbolic and requires strengthening of institutions, more intensive socialization, and active involvement of all stakeholders to achieve more optimal success.

This study aims to analyze the effect of promotional strategies on consumer purchasing decisions for Freedom Street Wear products on the Shopee platform. The research population consists of Shopee users who have purchased products from official stores. A quantitative approach using a survey method was applied, and data was collected from 100 respondents selected through non-probability sampling. Multiple linear regression analysis was used to test the influence of each variable, both partially and simultaneously. The findings show that Double Date Discount has a positive and significant effect on purchasing decisions. Meanwhile, Free Shipping and Cash on Delivery (COD) did not have a significant effect, although COD showed a positive trend. Simultaneously, these three variables were found to have a significant effect on consumer purchasing decisions. In addition to examining the individual effects of promotional strategies, this study also explored the interactive relationships between the variables. It was found that while Free Shipping and COD did not individually influence purchasing decisions, their combination with other promotional strategies like Double Date Discount enhanced the overall effectiveness of the promotions. This suggests that promotional strategies should be strategically integrated to maximize their impact on consumer behavior. Furthermore, the study highlights the growing importance of e-commerce platforms like Shopee in influencing purchasing decisions and shaping consumer perceptions. As online shopping continues to grow, understanding the nuances of promotional strategies is essential for businesses aiming to attract and retain customers in a competitive market. The findings contribute to a deeper understanding of the factors driving consumer purchasing decisions and offer valuable insights for businesses looking to optimize their promotional efforts in the online retail environment.

. The phenomenon of a potential megathrust earthquake predicted to occur in the coming years has raised widespread concern among the Indonesian public, particularly due to the high vulnerability of existing structures. In response to this issue, this study aims to analyze the structural capacity of buildings in resisting seismic forces and lateral loads, with a specific focus on factory structures. As a civil engineering student specializing in structural engineering, the objective of this research is to examine the behavior, performance, and potential failure patterns of building structures under earthquake loads. The research method employs pushover analysis as a tool for structural assessment, while the evaluation process refers to the guidelines outlined in ATC-40. The analysis results indicate that the factory structure is capable of withstanding a lateral load of 108,587.40 kN, with a controlled roof displacement of 1.5 meters. The structural performance level is categorized under the Damage Control (DO) stage, specifically at performance level SP-2, where the structure remains standing under lateral loads but experiences damage requiring repair before reuse. Furthermore, the failure patterns observed reveal a progressive performance of structural elements, shifting from condition B (Basic), IO (Immediate Occupancy), LS (Life Safety), C (Collapse Prevention), up to E (Extreme Damage). These findings highlight the importance of proper structural design and evaluation in enhancing resilience, ensuring safety, and minimizing potential risks from future megathrust earthquake events.

Stable temperature regulation is essential in various industries to maintain product quality and energy efficiency. This study analyzed the water temperature regulation system using PID control through MATLAB simulation and the actual implementation using Thermocontrol and PT100 sensors. In the simulation, the PID control parameters used were Kp = 3.0, Ki = 240, and Kd = 60, while the tuning results in the actual implementation were Kp = 3.0, Ki = 0.5, and Kd = 1.2. The simulation results showed that the system could reach the setpoint faster (±330 seconds), but with a high overshoot (±20.8°C). In contrast, the actual implementation shows more stable performance, with a much lower overshoot (±0.8°C) and a time to the setpoint of about ±345 seconds. These differences in performance can be influenced by environmental factors and the physical characteristics of real systems that are not fully reflected in the simulation. Although the simulation provides faster results, the actual implementation is more adaptive to changing conditions and better able to maintain temperature stability. This research can provide important insights into the development of more effective and reliable temperature control systems for industrial applications, as well as demonstrate the importance of proper tuning in PID control systems to achieve optimal performance.