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This study is motivated by the discrepancy between production targets and actual field performance caused by dynamic operational conditions, such as equipment productivity and effective working time. The objective of this research is to redesign the production target and develop a more realistic mine sequence using a rolling plan approach at Pit Hill16. The method includes analyzing the productivity of loading and hauling equipment based on cycle time data, calculating effective working time, and determining production targets using the rolling plan method. Furthermore, mine sequence design is developed based on the adjusted production targets. The results indicate that the productivity of loading equipment is 241.98 BCM/hour for the EC480DL excavator and 123.27 BCM/hour for the EC210DL excavator, while hauling equipment productivity is 40.24 BCM/hour. The April production target based on the rolling plan is 275,913 BCM, which can be achieved through mine sequence design with a volume of 277,839 BCM, resulting in a difference of +1,926 BCM, still within acceptable planning tolerance. Therefore, the rolling plan approach is proven to produce a more adaptive and realistic mining plan under actual field conditions.

This study investigates the influence of Green Ambidexterity Innovation (GAI), Strategic Stakeholder Alliance (SSA), and Green Human Resource Management Practices (GHRMP) on Sustainable Green Competitive Advantage (SGCA) and Sustainable Business Performance (SBP) in Small and Medium Enterprises (SMEs) in Pamekasan, Indonesia. With increasing global competition and the need for environmentally sustainable practices, SMEs face the challenge of balancing innovation, stakeholder collaboration, and environmental responsibility. Using a mixed-method approach, this research employs both quantitative surveys of 100 SME managers and qualitative interviews to gather comprehensive data. Quantitative data analysis is conducted through WarpPLS 7.0, focusing on both the inner and outer models of the relationships among variables. Findings indicate that Green HRM Practices significantly positively impact SGCA, while Green Ambidexterity Innovation and Strategic Stakeholder Alliances demonstrate weaker or insignificant effects on SGCA. Moreover, SGCA does not significantly influence SBP. These results suggest that while Green HRM Practices can enhance competitive advantage, a more nuanced approach may be required for SMEs to fully leverage innovation and stakeholder collaboration for long-term sustainable business performance. This research contributes to the growing body of knowledge on green strategies in SMEs, offering practical recommendations for business leaders to integrate sustainability into their operational strategies. The study aligns with Sustainable Development Goals (SDG) 8, 9, 12, and 13, aiming for responsible production and climate action.

This study was conducted at PT. Asmin Bara Bronang, Sepan Uring Village, Kapuas Tengah District, Kapuas Regency, Central Kalimantan Province, with the aim of analyzing the productivity and influencing factors of the PC 300 excavator in coal getting activities to support the achievement of production targets. The objective of this research is to analyze the actual productivity and the factors affecting it in Sector 7 coal getting operations. The research method used field observation with a quantitative descriptive analysis approach. The results show that the productivity of the PC 300 excavator ranges from 127.12 to 224.29 tons/hour, with an average of 173.98 tons/hour. In several conditions, the productivity is still below the company’s target of 180 tons/hour. The analysis indicates that productivity is influenced by material conditions, particularly the Hardgrove Grindability Index (HGI) value of 47, which reflects relatively harder material with coarser particle size, and a moisture content of 22.71%, causing the material to be sticky and cohesive, thereby affecting the bucket filling process. In addition, operational factors such as bottom loading patterns, limited number of tailgate dump trucks, and suboptimal selection of dump truck types also contribute to productivity performance.  Based on the findings, it can be concluded that the productivity of the PC 300 excavator has not consistently met the company’s target. Therefore, improvement efforts are required, including the implementation of top loading methods, increasing the number of tailgate dump trucks, optimizing the selection of hauling equipment, and controlling material conditions that affect the digging process.    

This study aims to analyze the influence of workforce agility, job satisfaction, and job engagement on employee adaptive performance at PT. MMT Buana Logistik. The dynamic logistics industry requires employees who have high adaptability to technological changes and operational demands. This type of research is quantitative causality with an explanatory approach. The population in this study were all employees of PT. MMT Buana Logistik, totaling 49 people, with the sampling technique used saturated sampling (census). Data were collected through questionnaires with a 5-point Likert scale. Data analysis techniques used included instrument testing (validity and reliability), testing of classical assumptions (normality, multicollinearity, and heteroscedasticity), and multiple linear regression analysis. Hypothesis testing was carried out through t-tests (partial), F-tests (simultaneous) and coefficient of determination (R2). The results showed that workforce agility, job satisfaction, and job engagement partially and simultaneously have a positive and significant influence on employee adaptive performance. These findings imply the importance of managing work flexibility, fulfilling employee satisfaction, and increasing work engagement to build adaptive human resources to support company competitiveness in the logistics industry.  

Urban waste management has become a complex challenge due to population growth, urbanization, and economic activities contributing to higher waste generation. Effective waste management systems are required to reduce waste disposed at final disposal sites. This study aims to evaluate the effectiveness of waste management at the TPS 3R Pedalangan Bersinar facility in Semarang City by examining waste separation from the source. The research applied a quantitative approach using mass balance analysis to assess the balance between incoming waste, processed waste, and residual waste in the system. Primary data were collected through field observations, interviews, and operational monitoring for six consecutive days, while secondary data were obtained from the Semarang Environmental Agency. Results show community-based waste banks in Pedalangan demonstrate a high level of effectiveness with a recovery factor reaching 100%, indicating optimal recycling performance and strong community participation. Meanwhile, the TPS 3R facility processes an average waste volume of 16.61 m³/day with reduction of 10.32 m³/day and residual waste of 6.29 m³/day, resulting in a recovery factor of approximately 0.62 categorized as moderate effectiveness. Therefore, strengthening household waste separation, improving operational management, and increasing community participation are recommended to enhance waste reduction and support sustainable urban waste management systems.

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 aims to analyze the influence of digital leadership, digital transformation, and circular economy practices on the economic performance of weaving SMEs and their contribution to the achievement of the Sustainable Development Goals (SDGs). This study employed a quantitative approach with an explanatory research design. Data were collected from 98 weaving SME owners or managers through questionnaires and analyzed using validity testing, reliability testing, classical assumption tests, and linear regression analysis. The findings show that digital leadership has a positive and significant effect on the economic performance of weaving SMEs. Digital transformation also has a positive and significant effect by expanding market access, improving operational efficiency, and strengthening customer relationships. In addition, circular economy practices have a positive and significant effect through resource efficiency, production waste reduction, and the creation of added value from residual materials. These findings indicate that the integration of digital leadership, digital transformation, and circular economy practices is a strategic approach to enhancing the competitiveness of weaving SMEs while supporting the achievement of the SDGs. This study contributes to the development of cultural-based SME studies by positioning digitalization and sustainability as key foundations for strengthening local economic performance.

This study aims to analyze the implementation of sustainability accounting based on Environmental, Social, and Governance (ESG) as well as its impact on company performance and resilience in Indonesia. The study uses a qualitative approach with a literature review method on scientific journals, sustainability reports, and related regulations for the 2022–2026 period. The results show that the integration of ESG into the accounting system can increase reporting transparency, operational efficiency, and reduce long-term business risks. In addition, the implementation of ESG also contributes to increasing company value and investor confidence. Nevertheless, the implementation of sustainability accounting still faces challenges in the form of limited reporting standards, data quality, and the risk of greenwashing. The implications of this study indicate that ESG-based sustainability accounting not only functions as a reporting tool but also as a business strategy to create sustainable long-term value. The novelty of this research lies in the integrative approach that examines the relationship between performance, risk, and transparency within a single ESG framework

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

This study aims to analyze the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the period 2015–2024 using the Springate and Grover models. The research employs a quantitative descriptive approach with secondary data obtained from the company’s annual financial statements. Financial distress analysis is conducted by calculating financial ratios included in each model to describe the company’s financial condition over the observation period. The results indicate that PT Garuda Indonesia (Persero) Tbk experienced financial distress during several periods, particularly before and during the COVID-19 pandemic, which was reflected in weakened liquidity, declining profitability, and reduced efficiency in asset utilization. However, following the financial restructuring process after 2021, both the Springate and Grover models show an improvement in the company’s financial condition, indicating a transition toward a more stable non-distress status. Although the Springate and Grover models use different financial indicators and classification approaches, both are able to descriptively capture the dynamics of financial distress experienced by the company. The differences in classification results reflect the distinct focus of each model, where the Springate model is more sensitive to liquidity and operational performance, while the Grover model emphasizes asset profitability. Therefore, the combined use of both models provides a more comprehensive overview of the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the research period.

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

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.

Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from significant energy wastage due to their inability to adapt to real-time environmental changes, leading to high operational costs. Although Proportional-Integral-Derivative (PID) controllers are widely used for their simplicity and reliability, they struggle to handle the complex dynamics of modern environments, requiring advanced optimization to enhance efficiency. This study aims to optimize PID controllers by integrating the Queen Honey Bee Migration (QHBM) algorithm to improve HVAC performance, energy efficiency, and adaptability. The research method employs an experimental approach that compares the performance of conventional PID controllers with PID controllers optimized using the QHBM algorithm under dynamic environmental conditions. The results show that the PID-QHBM system significantly outperforms the conventional PID system, achieving a rise time of 0.2649 seconds and a settling time of 1.6874 seconds with an almost negligible steady-state error of 9.4991e-08. Although it experiences a slight overshoot of 16.3810%, the system stabilizes quickly and maintains the target temperature efficiently. In contrast, the conventional PID controller exhibits slower response characteristics, with a rise time of 1.3730 seconds, a settling time of 2.5144 seconds, and a larger steady-state error of 0.0361. This study demonstrates that integrating the QHBM algorithm into PID controllers provides a more effective solution for real-time temperature control, offering substantial improvements in energy efficiency and system performance. The findings contribute to advancing intelligent HVAC control systems that can better adapt to environmental variations while minimizing operational costs.

This research investigates the influence of employee motivation and work discipline on staff performance at Cafe Empat, located in Serang City. In the hospitality and food service industry, human resources serve as a critical element for operational success due to continuous face-to-face customer interactions. Utilizing a quantitative, causal-associative framework, this study examined the entire population of 45 employees using a total sampling technique. Primary data gathered via structured Likert-scale questionnaires were processed using IBM SPSS v.26 for multiple linear regression analysis, following rigorous classical assumption testing (normality, multicollinearity, and heteroscedasticity). Results show that work motivation has a significant positive effect on employee performance (t = 4.217; p < 0.05), as does work discipline (t = 3.985; p < 0.05). The F-test confirms that both variables jointly exert a significant positive influence on performance (F = 29.843; p < 0.05). The coefficient of determination (R2 = 0.684) indicates that 68.4% of variance in employee performance is explained by these two variables, while the remaining 31.6% is attributed to factors not included in the model. Management is advised to consistently develop motivational programs and enforce disciplinary standards to sustain productivity and competitive advantage.

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.

The implementation of Hospital Management Information Systems (HMIS) has become a strategic imperative to enhance operational efficiency amidst the ongoing global digital health transformation era. This study aims to analyze the determinants of successful HMIS implementation and its impact on service efficiency and patient outcome quality. Employing a narrative review approach with thematic synthesis of literature from PubMed, Scopus, and ScienceDirect databases between 2016-2026, the study evaluates the relationship between technology investment and organizational performance. The synthesis results indicate that while HMIS significantly reduces administrative burdens and medication errors, a "digital paradox" exists where technical efficiency may disrupt interpersonal interactions between healthcare providers and patients if systems are not user-centered. Key success factors include data interoperability (HL7/FHIR standards), human resource readiness, and governance policy support. This study concludes that a patient-centered efficiency model is the fundamental basis for ensuring technology investments yield sustainable added value within the healthcare delivery system.

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

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.