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Aerobic capacity, commonly measured by maximal oxygen uptake (VO₂max), is a key indicator of physical fitness and athletic performance, particularly in endurance sports. Recent attention has focused on the role of respiratory muscle function in supporting exercise performance, as respiratory muscle fatigue during high-intensity or prolonged activity may reduce ventilatory efficiency and exercise tolerance. This literature review aims to examine current evidence regarding the effects of Respiratory Muscle Training (RMT), including Inspiratory Muscle Training (IMT), on aerobic capacity in athletes. Relevant studies were identified through electronic databases such as PubMed, Scopus, and Google Scholar using keywords related to respiratory muscle training, VO₂max, and athletes. The reviewed studies generally reported improvements in inspiratory muscle strength, reduced respiratory muscle fatigue, and enhanced ventilatory efficiency following RMT interventions. These physiological adaptations may contribute to better exercise tolerance and overall athletic performance. However, evidence regarding direct improvements in VO₂max remains inconsistent across studies. The findings suggest that RMT can be used as a complementary strategy alongside conventional training programs to support aerobic performance. In addition, improved respiratory muscle function may provide benefits in health promotion and rehabilitation by reducing dyspnea and increasing exercise tolerance. Further well-designed studies are needed to clarify the extent of RMT’s contribution to improving VO₂max in athletic populations.

Aerobic capacity, commonly measured by maximal oxygen uptake (VO₂max), is a key indicator of physical fitness and athletic performance, particularly in endurance sports. Recent attention has focused on the role of respiratory muscle function in supporting exercise performance, as respiratory muscle fatigue during high-intensity or prolonged activity may reduce ventilatory efficiency and exercise tolerance. This literature review aims to examine current evidence regarding the effects of Respiratory Muscle Training (RMT), including Inspiratory Muscle Training (IMT), on aerobic capacity in athletes. Relevant studies were identified through electronic databases such as PubMed, Scopus, and Google Scholar using keywords related to respiratory muscle training, VO₂max, and athletes. The reviewed studies generally reported improvements in inspiratory muscle strength, reduced respiratory muscle fatigue, and enhanced ventilatory efficiency following RMT interventions. These physiological adaptations may contribute to better exercise tolerance and overall athletic performance. However, evidence regarding direct improvements in VO₂max remains inconsistent across studies. The findings suggest that RMT can be used as a complementary strategy alongside conventional training programs to support aerobic performance. In addition, improved respiratory muscle function may provide benefits in health promotion and rehabilitation by reducing dyspnea and increasing exercise tolerance. Further well-designed studies are needed to clarify the extent of RMT’s contribution to improving VO₂max in athletic populations.

SR12 Herbal Cosmetics is a company engaged in the field of herbal and skin care. Founded in 2015 byToni Firmansyah, S. Farm., Apt. and Asrianty Salam, Farm. This company has a vision to provide benefits to many people through the herbal and skin care products they produce. SR12 Herbal Cosmetics products are formulated based on research from certified scientists, and have been tested at the Sucofindo Laboratory, are free of mercury and hydroquinone, and have been registered with the Indonesian Food and Drug Supervisory Agency (BPOM RI). SR12 Herbal Cosmetics has several factories in West Java Province and has an extensive distribution network with hundreds of distributors and tens of thousands of partners throughout Indonesia. The goal to be achieved is to produce a management information system model including a management information system for PT SR12 Herbal Cosmetics. The research object chosen is a company in the field of cosmetics and skin care which has its head office in Gunung Sindur, West Java. This selection aims to form a management information system design model that is able to produce relevant and timely information for planning, controlling, decision making and evaluating the performance of activities. For the Web-Based Instagram Content Management Information System Design project to Support SR12 Herbal Cosmetics' Brand Awareness, I used Agile (Scrum) due to the dynamic nature of digital marketing and potential changes to the Instagram API or business needs. This allowed SR12 to get core functionality faster and provide iterative feedback, ensuring the system built was truly relevant to their brand awareness needs.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

This study examines the role of QRIS as a non-cash payment system in supporting the digitalization of micro, small, and medium enterprises (MSMEs) in Indonesia. The rapid growth of digital transactions has encouraged MSMEs to adopt more efficient, practical, and secure payment systems. This study aims to integrate the benefits and barriers of QRIS, map its position in the MSME digitalization process, and develop a conceptual framework for future research. A descriptive qualitative approach with a literature study design was employed, utilizing relevant academic sources related to QRIS, MSMEs, digital payments, and user behavior. Data were analyzed using content analysis by comparing, interpreting, and synthesizing findings from selected literature. The results indicate that QRIS contributes to simplifying transactions, improving operational efficiency, reducing cash dependency, and supporting MSMEs’ adaptation to digital payment trends. However, its implementation remains constrained by factors such as digital literacy, user readiness, trust, and infrastructural limitations. The study also highlights that QRIS adoption is influenced not only by technological advantages but also by perceived value and user trust. Therefore, QRIS can be positioned as a strategic instrument in accelerating the digital transformation of MSME payment systems. The findings imply the need for further empirical research to examine the direct impact of QRIS adoption on MSME performance and sustainability.

Mergers and acquisitions have served as a primary strategy for global banking consolidation over the past three decades, including in Indonesia, which is currently undergoing one of its most massive consolidation waves—one notable example being the emergence of Bank Syariah Indonesia. This article aims to provide a narrative review of the literature on the operational impacts of mergers on bank performance, with a particular focus on implications for the Indonesian context. Based on a systematic search of the Scopus database, 52 peer-reviewed articles published between 2000 and 2025 were analyzed using a narrative thematic synthesis approach. Five main themes were identified: cost efficiency, service quality, risk management, human resource and cultural integration, and information systems and technology integration. The key findings indicate that although 73.1% of studies report post-merger improvements in cost efficiency, these benefits are highly contingent upon the quality of post-merger integration especially in the areas of human resources, organizational culture, and information technology with IT integration failure rates reaching as high as 75%. Domestic mergers consistently achieve efficiency gains more rapidly than cross-border mergers, whereas risk implications depend heavily on the type of merger and the quality of integration. Policy implications include the need for the Financial Services Authority (Otoritas Jasa Keuangan) to monitor post-merger integration quality, provide integration guidelines for smaller banks, take into account the specific characteristics of Islamic banks, and ensure a streamlined, non-burdensome licensing process. Further research particularly empirical studies on banking mergers in Indonesia—is urgently needed to test the generalizability of global findings to the local context.

Sentiment analysis for Indonesian regional languages faces two persistent challenges: labeled training data is extremely limited for most regional varieties, and transformer models pre-trained on Bahasa Indonesia do not generalize reliably to languages with substantially different morphological structures. Prior work on the NusaX benchmark has primarily relied on direct fine-tuning, treating each regional language independently and without exploiting linguistic proximity between related languages as a transfer signal. This paper proposes Language-Similarity-Guided Transfer (LSGT), a sequential fine-tuning strategy that first adapts a pre-trained model to a pivot language selected using character trigram similarity, followed by fine-tuning on the target language. Four transformer models are evaluated across all 12 NusaX languages using the official train/validation/test splits: IndoBERT, NusaBERT, mBERT, and XLM-R. Performance is evaluated using four metrics: accuracy, macro F1, macro precision, and macro recall. Experimental results show that LSGT improves macro F1 in 44 of 48 model-language combinations, demonstrating that the fine-tuning strategy itself is a major factor in low-resource cross-lingual sentiment classification. XLM-R benefits most strongly from LSGT, achieving an average improvement of +0.137 macro F1 and a peak gain of +0.298 on Madurese. SHAP-based token attribution analysis further reveals that predictions rely heavily on named entities and domain-specific nouns rather than sentiment-bearing vocabulary, indicating a dataset-level bias inherited from the original SmSA corpus and propagated through the NusaX translation pipeline.

This study aims to analyze the technical and economic impact of power evacuation work on the 20 kV distribution system at PT PLN (Persero) UP3 East Bali. The main problem studied is the high losses and poor voltage profile on the downstream side of the Kintamani feeder. The method used is load flow simulation using ETAP software with a comparative approach to conditions before and after power evacuation. The results showed that the active losses decreased from 1.017 MW to 0.626 MW (efficiency 38.45%), accompanied by an increase in the end voltage from 16.32 kV to 18.72 kV and 19.38 kV, thus meeting the SPLN 1:1995 standard. The reduction in losses resulted in energy savings of 3,425,160 kWh/year. From the economic side, a payback period (PBP) of 1.40 years was obtained, which shows that the project is financially feasible. In addition, the improvement of network performance also contributes to the reliability of the distribution system and the continuity of the distribution of electrical energy to customers. Thus, power evacuation work has been proven to be effective in improving power distribution efficiency, improving voltage quality, and providing significant economic benefits.

Hydrogen-based hybrid microgrid systems have emerged as a promising solution to enhance renewable energy integration and improve energy supply reliability. By combining renewable sources such as solar and wind with hydrogen production and storage technologies, these systems address the intermittency of renewable power while ensuring continuous energy availability. This study evaluates the techno-economic feasibility, environmental impact, and scalability of hydrogen-based hybrid microgrids, with a focus on cost-effectiveness and system performance under varying operating conditions. Simulation tools, including HOMER Pro and MATLAB Simulink, are used to model the system and conduct sensitivity analyses on hydrogen production costs and demand fluctuations. Key performance indicators such as Levelized Cost of Energy (LCOE), Net Present Value (NPV), and CO₂ emissions reduction are assessed. The results show that although the system requires a high initial investment, it becomes economically viable over time due to reduced operational costs and improved efficiency. Additionally, the system demonstrates significant environmental benefits, outperforming conventional fossil fuel-based systems in terms of emissions reduction. Sensitivity analysis further indicates that advancements in hydrogen production technologies could substantially enhance economic feasibility. Overall, hydrogen-based hybrid microgrids offer a reliable and low-carbon energy solution, supporting sustainable energy transitions and reducing dependence on fossil fuels.

This study aims to describe the level of service optimization in Financial Institution Pension Funds (DPLK) through the management of periodic pension benefit payments, additional benefits, and voluntary contributions using a descriptive-analytical approach. The data were derived from reports of 24 DPLK administrators collected in April 2026. The findings indicate that service optimization is largely determined by the effectiveness of managing periodic pension payments, other pension benefits, and contributions beyond the core program. This issue becomes crucial when viewed from DPLK performance trends over the past five years (2021–2025), where collected funds—comprising contributions and investment returns—were consistently lower than pension benefit payments, with an average ratio of 63%. This imbalance highlights sustainability concerns. The study identifies significant untapped potential, including Rp5.79 trillion annually (36% of total pension benefits) in periodic payments not yet optimized, Rp2.4 trillion for other benefit programs over 10 years, Rp1 trillion for religious-related funds, and Rp1.2 trillion in voluntary contributions from existing participants. To address these gaps, DPLK institutions need to strengthen regular and personalized communication beyond transactional interactions, ensuring participants are more engaged. Integrated services that emphasize transparent benefits, ease of contribution, continuous financial education, and digital accessibility are essential. Ultimately, optimizing DPLK services requires not only system and product improvements but also attention to participant behavior and service quality to enhance retirement well-being.

Community service at Toko Entus Collection aimed to improve operational efficiency and sales through the implementation of a digital system. Students actively participated in managing social media, online promotions, and digital stock monitoring. Observations showed that digital media can disseminate product information widely, enhance consumer interaction, and support sales growth. Challenges included limited digital knowledge of the store manager, limited time for promotions, and inconsistent consumer responses. Direct guidance, socialization of digital media use, and adjustment of promotional strategies helped overcome these challenges. Students’ hands-on experience allowed the application of digital marketing theory to real business situations, while store managers benefited from improved operational performance. Therefore, this community service provides dual benefits: practical learning for students and increased competitiveness for SMEs.

This study aims to analyze the effect of financial literacy and the use of accounting information on the financial performance of Micro, Small, and Medium Enterprises (MSMEs), with financing as a moderating variable. The research sample consists of 100 MSME owners or managers located in Gresik City, specifically in Gresik, Kebomas, and Manyar Districts, selected using purposive sampling based on predetermined criteria. Hypothesis testing was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS software through a bootstrapping procedure and one-tailed testing. The results indicate that financial literacy and the use of accounting information have a positive and significant effect on MSME financial performance. In addition, financing is proven to strengthen the influence of financial literacy and accounting information on MSME financial performance. This study is expected to provide practical benefits for MSME actors in improving financial performance through better financial management and access to financing. The limitation of this study lies in the limited research area and the use of perception-based data.

The Papua Special Autonomy Fund (Dana Otonomi Khusus Papua) represents a key instrument of Indonesia’s asymmetric fiscal decentralization aimed at reducing historical inequalities, accelerating regional development, and promoting social justice for Indigenous Papuans. However, after more than two decades of implementation, concerns persist regarding its effectiveness in producing equitable welfare outcomes, particularly with respect to accountability, targeting accuracy, and distributive justice. This literature review critically examines existing scholarly research on the governance, implementation, and impacts of Dana Otsus Papua, with an emphasis on how institutional arrangements shape policy performance and equity outcomes. The study employs a narrative–critical literature review enriched with systematic elements, including transparent search procedures, explicit inclusion and exclusion criteria, and thematic synthesis. Peer-reviewed journal articles and reputable conference proceedings were analyzed using thematic analysis and conceptual mapping to identify dominant findings, methodological approaches, and research gaps. The synthesis reveals recurring patterns across the literature. Accountability mechanisms remain fragmented and weakly integrated across planning, budgeting, monitoring, and evaluation processes. Targeting accuracy is inconsistent, with fiscal benefits frequently failing to reach Indigenous Papuans as intended. Moreover, distributive justice outcomes depend more on institutional recognition, participation, and governance capacity than on the size of fiscal transfers alone. The review also highlights a critical gap in integrative evaluations that link governance arrangements, implementation processes, and equity outcomes. The article concludes that improving Dana Otsus Papua requires a shift from expenditure-focused assessments toward governance- and justice-oriented evaluation frameworks. The study contributes theoretically by integrating accountability, implementation, and distributive justice perspectives, and offers practical insights for strengthening oversight, refining targeting mechanisms, enhancing participatory governance, and embedding digital tools within accountability systems.

Exercise is a planned physical activity that not only contributes to physical fitness but also plays a significant role in maintaining and improving mental health. This study aims to explore the relationship between physical exercise and mental well-being among adolescents and university students with diverse backgrounds of physical activity. The research employs a qualitative approach using in-depth interviews with five informants, consisting of university students who engage in recreational exercise, recreational runners, middle- and long-distance runners, and a sprinter. Data collection was conducted in several public sports spaces in the city of Bandung, focusing on participants’ subjective experiences related to their psychological conditions before and after engaging in exercise. The findings indicate that all participants perceive exercise as an effective means of emotional regulation. Physical activity is consistently associated with improved mood, reduced stress, enhanced sleep quality, stable energy levels, and increased academic concentration and focus. In addition, exercise contributes to the development of self-confidence, self-efficacy, and self-control through structured routines. The social aspects of exercise, such as support from peers, communities, and coaches, were shown to strengthen the sustainability of physical activity while also providing essential emotional support for mental health. However, among competitive athletes, performance-related pressure was identified as a factor that may negatively affect psychological well-being, although this effect can be moderated by adequate social support. Overall, the findings of this study emphasize that exercise functions as an adaptive coping mechanism operating through biological, psychological, and social pathways, and highlight the importance of consistency and balance in physical activity to achieve optimal mental health benefits.  

The utilization of digital technology in government administration is a critical measure to improve employee performance and the efficiency of public services. However, the effectiveness of implementing this technology is highly determined by the degree to which employees accept the digital systems being used. This study aims to analyze the impact of digital technology acceptance on employee performance at the Mojoroto District Office in Kediri City. The research employs a quantitative method with an explanatory design. Information was obtained through a questionnaire survey distributed to all employees at the Mojoroto District Office, totaling 30 respondents, using total sampling techniques. Indicators of digital technology adoption were evaluated based on perceptions of benefits, operational ease, social pressure, and infrastructural support, while employee performance was assessed according to the quality of work output and responsibilities. Data analysis involved descriptive statistics, validity and reliability tests, and ordinal linear regression. The study findings indicate that digital technology acceptance has a positive and significant influence on employee performance. The coefficient of determination figure reveals that digital technology adoption can explain a large part of the fluctuations in employee performance, with the remaining variation influenced by variables outside the research model. These results imply that the greater the level of digital technology acceptance, the better the resulting employee performance. This study concludes that strengthening digital capabilities, technical guidance, and institutional support are key strategies for enhancing employee performance and public service quality at the district level.

Attention span and cognitive focus in young minds these days are increasingly structured by the growing influence of digital distractions. Drawing from the ideas of Foucault and Nietzsche, this paper examines how technology molds behavior and, at the same time, is used as a tool of control through power relations. This digitally fosters a form of nihilism, the sense life has no purpose. By using a mixed-methods approach, this research combines the surveying and in-depth interviewing of students and instructors about how technology influences attention, learning, and academic performance. Results indicate that while technology brings many benefits, it also provides significant challenges-most notably via social media and smartphone distractions. These distractions reduce attention spans, decrease deep learning, and contribute to cognitive overload. This study therefore calls for the integration of technology into education in a balanced way, highlighting digital literacy, mindful use, and distraction-reduction strategies. In the process, self-awareness, self-regulation, and responsible use will allow people to use its benefits rather than fall into disengagement and cynicism. Technology should serve as a tool for learning and growth-not a barrier to focus and intellectual development.

Regional financial management in the era of decentralization demands absolute transparency and accountability from local governments to the public. This article is the result of a Public Sector Audit Project aimed at critically analyzing the interrelationship among the three main pillars of auditing: financial accountability, regulatory compliance, and performance effectiveness through the Value for Money framework (3E: Economy, Efficiency, and Effectiveness). The methodology employed is descriptive qualitative research using document analysis techniques on Audit Reports (Laporan Hasil Pemeriksaan/LHP) and regional financial management regulations. The findings reveal an “accountability paradox,” where the achievement of an Unqualified Opinion (Wajar Tanpa Pengecualian/WTP) does not fully correlate with the absence of corruption practices or improvements in public welfare. The study identifies procurement of goods and services as well as grant expenditures as areas particularly vulnerable to non-compliance. Furthermore, the effectiveness aspect of budgeting is often neglected due to the predominantly administrative focus of audits. This article recommends transforming the role of Government Internal Supervisory Apparatus (APIP) into strategic partners, strengthening auditor independence, and integrating information technology–based audits to mitigate maladministration risks and ensure tangible economic benefits for society.

This study investigates the interconnected roles of board gender diversity and Environmental, Social, and Governance (ESG) performance on firm performance within Indonesia's distinctive two-tier corporate governance system. Utilizing a panel dataset of 80 companies listed on the Indonesia Stock Exchange from 2021 to 2023 and employing a fixed-effects regression model, the analysis measures gender diversity on both the Board of Commissioners (BOC) and Board of Directors (BOD) using the Blau Index, with firm performance proxied by Tobin's Q and ESG performance sourced from Refinitiv Eikon scores. The empirical results reveal that gender diversity on both the BOC and BOD does not have a statistically significant effect on firm performance, failing to support agency, upper echelons, and gender socialization theories. Furthermore, ESG performance demonstrates a significant negative direct effect aligning with the trade-off perspective that current implementation costs outweigh benefits. Crucially, the analysis finds that ESG does not moderate the board diversity-performance relationship, as both interaction terms are statistically insignificant. These findings collectively indicate that the potential governance and strategic advantages of board gender diversity are not being realized in the Indonesian context. The study concludes that this is attributable to several structural barriers, including tokenistic board appointments, the early-stage and often symbolic nature of ESG adoption focused on compliance rather than integration, and a weak institutional environment characterized by voluntary frameworks and socio-cultural constraints that limit the substantive influence of women in governance roles.

This study investigates the adoption of adaptive DevOps practices in embedded systems used in safety-critical industrial applications. Traditional DevOps models, which are primarily designed for cloud-based systems, face significant challenges when applied to embedded platforms due to hardware constraints, real-time performance requirements, and stringent safety standards. The research focuses on developing a tailored DevOps framework that integrates continuous integration/continuous delivery (CI or CD) pipelines, automation, real-time monitoring, and safety assurance processes to enhance system reliability, performance, and compliance with regulatory standards. The study uses a case study methodology, involving embedded system teams across multiple industrial sectors, to assess the impact of these adapted DevOps practices on system stability and operational efficiency. Key findings show that the adoption of adaptive DevOps practices led to significant improvements in system reliability, performance, and deployment stability. Continuous feedback mechanisms allowed for early issue detection and faster resolution, leading to enhanced system uptime and responsiveness. Additionally, the integration of safety assurance into the DevOps pipeline ensured that safety-critical systems complied with required safety integrity levels and certification standards. The study further explores the integration of DevOps with embedded safety-critical systems, highlighting the benefits of cross-domain collaboration, enhanced communication, and the ability to address the unique challenges of these platforms. The research also underscores the limitations of conventional DevOps models in embedded systems and presents practical implications for the wider adoption of DevOps in safety-critical industrial applications. Future research is recommended to refine DevOps frameworks for embedded systems, integrating emerging technologies like the Industrial Internet of Things (IIoT) and Digital Twins to further optimize performance, security, and predictive maintenance.