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MJM is a leading workshop in Malang that focuses on car repairs and is known for its reliable reputation and quality service on Jl. Lake Tondano Raya F5/A26, Sawojajar. These workshops offer a variety of services, from engine to car body repairs, which makes manual transactions difficult and time-consuming due to increased service and cost complexity. This research aims to simplify transaction and operational processes in MJM workshops by developing supporting applications that include recording customer transactions, spare parts stock management, monitoring employee attendance, and mechanic payroll. The information technology provided can improve service quality, optimize operations, strengthen competitiveness, enable a sustainable approach, increase data accuracy, and support more timely decisions. The methodology used is waterfall, which follows a certain flow process starting from requirements analysis, planning, design, software development, testing, to the maintenance stage. The research focus is on the initial development of the system to ensure that the system functions well in the maintenance phase. The Operational Management Information System designed for MJM workshops includes important features such as recording spare parts, purchase and sale transactions for spare parts, service and car wash transactions, stock taking records, management of damaged or lost goods, stock cards, cash flow, and reports. transaction. This system is expected to reduce manual errors, provide better service, and improve overall operational performance.    

The adoption of Robotic Process Automation (RPA) has emerged as a crucial strategy for medium-sized enterprises (SMEs) to streamline back-office operations, enhance productivity, and reduce operational costs. RPA involves the use of software robots to automate repetitive, rule-based administrative tasks, allowing employees to focus on more complex, value-added activities. This study explores the implementation of RPA in medium enterprises, focusing on its impact on cost efficiency, administrative workload reduction, and operational performance. The research uses a case study approach, analyzing medium enterprises that have adopted RPA to assess the effectiveness of automation in improving business processes. Data collection methods include interviews, surveys, and company reports to evaluate how RPA affects workload, accuracy, and cost savings. The findings indicate that RPA significantly reduces manual administrative tasks, leading to faster processing times, lower error rates, and substantial cost savings. Employees in enterprises that adopted RPA reported increased job satisfaction due to the reduction of monotonous tasks and the opportunity to engage in more strategic work. However, challenges such as employee resistance, data security concerns, and system integration complexities were also identified. The study compares RPA’s impact with traditional manual processes, highlighting improvements in speed, accuracy, and overall cost efficiency. Additionally, the study compares RPA adoption across industries such as manufacturing, retail, and service, revealing sector-specific challenges and successes. The paper concludes by emphasizing the practical implications for SMEs, suggesting that RPA can optimize business operations and urging further research on its long-term effects on employee roles and organizational culture.

This research delves into strategies aimed at enhancing occupational safety and health practices within pilotage operations at Semayang Port, operated by PT. Pelindo Balikpapan. Given the inherently high-risk nature of port activities, particularly pilotage, ensuring the safety and well-being of workers is paramount. This research is motivated by the imperative to curtail workplace incidents and bolster operational efficiency through the implementation of robust strategies. A SWOT analysis was employed to comprehensively assess the strengths, weaknesses, opportunities, and threats inherent in the port's existing occupational safety and health system. The findings of this analysis revealed that a 'Turn Around' strategy, situated in Quadrant II of the SWOT matrix, presents the most viable course of action. This strategy effectively leverages external opportunities to mitigate internal weaknesses, thereby optimizing the overall safety and health posture. By adopting the 'Turn Around' strategy, PT. Pelindo Balikpapan is poised to elevate the standards of occupational safety and health within its pilotage operations at Semayang Port. Consequently, this is expected to lead to a reduction in accidents and a commensurate improvement in overall operational performance.

This study investigates the connection between Environmental, Social, and Governance (ESG) factors that can impact a company's financial and operational performance. The research looks at how stakeholder and legitimacy theories can help explain the effects of the variables used in the study. Additionally, the study makes a unique contribution to the existing research on ESG and performance by examining the link between ESG and firm performance over ten years. Furthermore, the study explores the relationship between ESG and operational performance in SMEs in Guizhou. This provides valuable insights into how ESG can impact the performance of SMEs. ESG provides a comprehensive framework for businesses and investors to address environmental, social, and corporate governance issues. It promotes integrating economic and social benefits for sustainable corporate management and financial investment development. The number of respondents for this study was 380 enterprises from Guizhou. The results of this study show that parents’ purchase intention on training courses for their children would be impacted by their transformational leadership, organizational innovation, and social capital.

The increasing complexity of modern software systems and the growing demand for real-time data processing have significantly contributed to higher energy consumption in computing infrastructures. This challenge is particularly evident in systems that rely on continuous monitoring, analytics, and adaptive decision-making. Addressing energy efficiency without compromising system performance has therefore become a critical concern in sustainable software engineering. This study proposes an energy-aware software approach that integrates real-time analytics with adaptive feedback mechanisms to optimize energy consumption while maintaining operational performance. The research adopts a design science oriented methodology, encompassing system design, implementation, and experimental evaluation. The proposed system architecture consists of real-time data acquisition, intelligent analytics, and an adaptive control layer based on the MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) feedback loop. Experimental evaluations were conducted under dynamic workload scenarios to compare the proposed adaptive system with a baseline non-adaptive system. Key performance indicators included energy consumption, response time, throughput, and adaptation latency. The results demonstrate that the proposed system achieves a substantial reduction in energy consumption while maintaining, and in some cases improving, system performance metrics. The adaptive feedback mechanism enables the system to respond effectively to workload fluctuations, reducing unnecessary energy usage during low-demand periods and ensuring stable performance during peak loads. These findings provide empirical evidence that real-time analytics and adaptive control can effectively support energy-efficient and sustainable software systems. This research contributes to the field of energy-aware software engineering by demonstrating that intelligent real-time adaptation is a viable strategy for achieving sustainability objectives in dynamic and performance-critical environments.