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This study aims to analyze the influence of Green Human Resources Management and Green Innovation on Business Sustainability. The Green Human Resources Management approach includes recruitment, training, performance appraisal, and compensation practices oriented towards environmental conservation. Meanwhile, green innovation focuses on the development of environmentally friendly products, processes, and business models. The sampling technique used is purposive sampling with a total of 100 respondents. Data collection was carried out using an online questionnaire after testing validity and reliability. The analysis in this study employs SEM-PLS. The results indicate that Green Human Resources Management does not have an effect on Business Sustainability. In contrast, Green Innovation has a significant positive effect on Business Sustainability. The implementation of enhanced green innovation has been proven to increase operational efficiency and strengthen the company's image as an environmentally conscious business. This study emphasizes the importance of integrating human resource management and environmentally friendly innovation to achieve better business sustainability

Management practices in Micro, Small, and Medium Enterprises (MSMEs) in rural areas play a crucial role in enhancing business sustainability and competitiveness. This article explores various management strategies that rural MSMEs can implement to optimize their business operations. Through training and mentoring programs, MSME actors are provided with knowledge and skills in financial management, marketing, and operational management. Community service activities (PkM), conducted in conjunction with research activities using a case study approach on MSMEs in Bantargadung Village, Bantargadung Subdistrict, Sukabumi Regency, have formulated a management practice model for the sustainability of rural MSMEs. This model can be further developed to advance rural MSMEs, aiming to improve the village economy, enhance rural independence, stimulate economic growth, create jobs, and reduce unemployment rates in rural areas, ultimately improving the welfare of rural communities. Based on management practice theory, as well as guidance from the Chamber of Commerce and Industry (Kadin) and the Ministry of Cooperatives and MSMEs, the management practices for rural MSMEs include: 1) Efficient Inventory Management; 2) Production Process Improvement, particularly Production Efficiency; 3) Financial Management; 4) Human Resource Management; 5) Effective Marketing Strategies and the Use of Digital Marketing; and 6) Performance Evaluation and Control.

This study aims to reveal the effect of production costs, operational costs and sales volume on financial performance at CV. Salim Media Indonesia for the 2021-2023 period. This thesis uses a quantitative approach using the multiple regression statistical analysis method partially and simultaneously with 35 samples. The results of the study indicate that production costs have an effect on financial performance at CV. Salim Media Indonesia for the 2021-2023 period partially. Operational costs have an effect on financial performance at CV. Salim Media Indonesia for the 2021-2023 period partially. Sales volume has an effect on financial performance at CV. Salim Media Indonesia for the 2021-2023 period partially. Based on the calculated F value > F table and the significant value < a , it is concluded that Ho is rejected and Ha is accepted, meaning that Production Costs and Operational Costs together or simultaneously have an effect on financial performance at CV. Salim Media Indonesia for the 2021-2023 period.

This research was conducted to determine the influence of discipline and motivation on employee performance in the Operational Division of PT Sankyu Indonesia International. The research method used in this research is a quantitative approach with data collection techniques through questionnaires. The sampling technique used a saturated sampling technique, the sample was 36 people who worked as employees of the Operational Division of PT Sankyu Indonesia International. The results of the descriptive analysis show that the influence of discipline and motivation on employee performance in the Operational Division of PT Sankyu Indonesia International is classified as very good, where the three variables are in the rating scale range of 70-100. From the results of the hypothesis test, it shows that discipline has a positive and significant effect on employee performance. The results of the analysis have a significance value of 0.000 and t count 4.125 > t table 1.68830. Motivation does not have a positive effect on employee performance as a result of the analysis with a significance value of 0.427 and t count 0.804 < t table 1.68830. Discipline and Motivation simultaneously have a positive and significant effect on Employee Performance, the results of the analysis have a significance value of 0.000 and F count 9.970 > F table 3.26.

The rapid development of information technology and telecommunications has driven companies and MSMEs to adopt desktop, mobile, and web-based applications to enhance operational performance. PT HPS Painan Padang, previously relying on manual ticket bookings, faced challenges in efficiency and susceptibility to brokering practices. To address this, a web-based travel ticket booking application was developed, enabling customers to book tickets online more practically, quickly, and conveniently, anytime and anywhere. The integration of Natural Language Processing (NLP) technology in the form of a chatbot further enhances service efficiency and responsiveness. This feature provides real-time information on departure schedules, seat selection, and payment transactions while also supporting sentiment analysis and swift responses to customer feedback, ultimately improving service quality. The application, built using PHP, MySQL, and CodeIgniter with a Prototype development approach, adapts to changing market demands. Testing via GTmetrix on the https://desistravel.xyz/backend page demonstrated excellent performance with an 88% Performance score, 95% Structure score, and optimal Web Vitals metrics, indicating a fast, responsive, and stable platform. The final product is a user-friendly web-based ticket booking application supported by an intelligent chatbot, offering a seamless user experience, enhancing customer satisfaction, and streamlining the travel booking process efficiently.

The purpose of this study is to examine the effect of green accounting, operational efficiency, and marketing effectiveness on financial performance in mining companies listed on the Indonesia Stock Exchange (IDX) in 2021-2023. This study uses a quantitative method based on annual financial report data and annual reports for 3 years (2021-2023) from Mining Companies listed on the Indonesia Stock Exchange (IDX). The research sample includes 83 companies with a total of 249 observation data for (3) periods. Data analysis was carried out using Eviews 12 software with the Multiple Regression Analysis method based on panel data with the Common Effect Model (CEM) method. The results of the study show that Green Accounting has a positive and significant effect on financial performance. Conversely, Operational Efficiency does not have a significant effect on financial performance, while Marketing Effectiveness has a positive and significant effect on financial performance.

This study investigates the causes of an overflow incident in a fuel oil purifier aboard the MV. Iriana. A case study methodology was employed to analyze operational data, inspection findings, and crew interviews. The results indicate that the overflow was caused by a combination of factors, including inadequate maintenance leading to the accumulation of sludge on purifier components, operational errors, particularly in fuel heating temperature control, and poor fuel quality. The analysis revealed that damage to the bowl, disc, and seal due to sludge buildup, coupled with incorrect operating procedures, were the primary causes of the overflow. To address these issues, it is recommended to conduct thorough cleaning of all purifier components, replace damaged parts, improve operational procedures, and implement a regular preventive maintenance schedule. Furthermore, it is crucial for ship operators to adhere to standard operating procedures (SOP) and monitor the purifier's condition regularly. Additionally, the quality of the fuel used should be closely monitored to minimize the risk of future overflow incidents. By implementing these recommendations, it is expected that the purifier's performance will be enhanced, maintenance costs will be reduced, and overall ship operations will be improved.

The research addresses the role of artificial intelligence technologies in achieving cost reduction, achieving a sustainable competitive advantage, and improving the operational performance of companies, by analyzing how these technologies reduce costs. The research is based on a basic hypothesis that "artificial intelligence technologies contribute positively to reducing costs for economic units by improving the efficiency of using available resources, reducing waste, and improving technical innovations, which enhances the ability of the economic unit to compete and achieve a sustainable competitive advantage." The research recommends investing in artificial intelligence technologies, training employees to use them effectively, developing a clear strategy, adopting analytical models to measure the impact of artificial intelligence on performance and costs on a regular basis, and supporting research related to developing artificial intelligence applications to improve operational efficiency and enhance cooperation between universities and economic units to develop innovative solutions that achieve a sustainable competitive advantage. This research is an addition to the literature concerned with how economic units adopt artificial intelligence technologies and work to reduce their operating costs, and aims to provide a practical framework for economic units seeking to improve their financial performance by adopting the latest artificial intelligence technologies.

This study examines the influence of leadership style on crew performance and job satisfaction aboard commercial vessels. The maritime industry presents unique challenges where effective leadership is essential for ensuring operational efficiency, safety, and crew well-being. The objective of this research is to identify which leadership styles—transformational, transactional, or laissez-faire—have the most significant impact on crew members’ performance and overall job satisfaction. A quantitative approach was employed, utilizing structured questionnaires distributed to 120 seafarers working on various types of commercial ships. Data were analyzed using multiple regression analysis to assess the relationship between leadership style and both dependent variables. The findings reveal that transformational leadership has the strongest positive correlation with both crew performance and job satisfaction, while transactional leadership showed moderate effects, and laissez-faire leadership had a negative impact. These results highlight the importance of promoting transformational leadership practices in maritime operations to enhance productivity and improve crew morale. The study provides valuable insights for ship management companies and maritime training institutions in shaping leadership development programs tailored to the maritime environment.

This study aims to analyze the implementation of accountability accounting at Circle Imagine of Society (CIS) Timor Foundation in Kupang City. This research uses descriptive qualitative method and examines the implementation of four main elements of responsibility accounting, namely determining responsibility, determining performance measures, assessing performance, and providing rewards and punishments. The results of this study indicate that: (1) Circle of Imagine Society (CIS) Timor Foundation has implemented a clear organizational structure, with a detailed division of tasks for each member, (2) determination of performance measures is based on program effectiveness and operational efficiency, (3) performance assessment of Circle of Imagine Society (CIS) Timor Foundation uses regular standard operating procedures (SOP), (4) Awards are given to members of Circle of Imagine Society (CIS) Timor Foundation who perform well and punishment is given to members of Circle of Imagine Society (CIS) Timor Foundation who violate the code of ethics.

The maritime sector is critical for global trade and economic development, yet challenges in workforce development persist, particularly in tanker operations handling dry bulk cargo like agricultural products. This research investigates the interplay between recruitment strategies, crew competencies, and ship operational performance, with a focus on PT Sillo Maritime Perdana Tbk, a key player in Indonesia’s offshore shipping sector. Addressing gaps in aligning workforce development with industry demands, this study explores the effectiveness of recruitment practices and competency development within the operational context of this organization. This study aimed to evaluate the influence of recruitment strategies and crew work competencies, individually and collectively, on improving operational performance at PT Sillo Maritime Perdana Tbk. Using a mixed-methods approach, the research employed Statistical Equation Modeling (SEM) to analyze quantitative data from 117 participants and conducted thematic analysis of qualitative insights from experts, lecturers, graduates, and head workers. The results revealed that recruitment strategies and crew competencies significantly contribute to operational performance, with a combined positive effect observed. Structured recruitment and ongoing skill development tailored to industry demands were identified as critical. The findings also highlighted the transformative role of educational technology in bridging the gap between academic training and operational realities. The study provides actionable insights for PT Sillo Maritime Perdana Tbk and similar organizations, emphasizing the need for collaborative efforts to enhance workforce readiness, operational efficiency, and sustainability in maritime activities.

This study aims to analyze bad debts on the financial performance of the Kupang City Branch of the Swasti Sari Savings and Loan Cooperative. The research method used is descriptive quantitative, with data analysis techniques using bad debt analysis and financial performance analysis by measuring financial ratios such as liquidity, solvency and profitability ratios. The data used in this study is secondary data in the form of financial statements of the Swasti Sari Saving and Loan Cooperative, Kupang City Branch for a period of 5 years from 2019-2023. The results showed that bad debts at the Kupang City Branch of the Swasti Sari Savings and Loan Cooperative were caused by the inability of cooperative members to pay off their obligations so that the cooperative's receivables became difficult to collect and had an impact on the cooperative's financial performance as measured by the liquidity ratio from 2019 to 2023 which decreased because the cooperative's cash decreased and its receivables increased, the Solvency Ratio indicates an increase in risk due to increased debt without balanced asset growth. The Profitability Ratio shows a decrease in net income which affects the operational sustainability of the Kupang City Branch of the Swasti Sari Savings and Loan Cooperative. The results of this study provide recommendations for the Kupang City Branch of the Swasti Sari Saving and Loan Cooperative in overcoming the risk of bad credit, namely taking a rescheduling, reconditioning, and restructuring approach, applying prudential principles, conducting regular monitoring and monitoring of financial performance and credit risk so that cooperatives can make quick and appropriate decisions to maintain financial stability and operational sustainability.

Microplastic pollution, particularly from textile waste, has become a significant environmental concern, especially in urban runoff systems. These pollutants pose a considerable threat to water quality, aquatic life, and human health. Traditional wastewater treatment methods often fall short in addressing the complexities of microplastic contamination. This research explores the integration of advanced biodegradable polymer coatings with solar-powered textile waste treatment to reduce microplastic pollution in urban runoff systems. Biodegradable polymers, such as polylactic acid (PLA) and polyhydroxyalkanoates (PHA), are highlighted for their potential to efficiently filter microplastics while providing an eco-friendly alternative to conventional filtration technologies. By combining these materials with a small solar-powered unit, the prototype enables an off-grid, low-energy solution to treat textile wastewater in urban environments. The study includes testing the prototype in simulated urban runoff conditions with varying concentrations of microplastics, evaluating key performance indicators such as microplastic removal efficiency, energy consumption, and operational sustainability. Results demonstrate a significant reduction in microplastic concentration, indicating the effectiveness of biodegradable polymer coatings and solar-powered systems in treating urban runoff. The discussion addresses the feasibility of using local biodegradable materials, performance in real-world urban environments, and operational challenges such as maintenance and scalability. This innovative approach is compared with existing microplastic filtration methods, such as membrane filtration and adsorption, highlighting its advantages in terms of sustainability and cost-effectiveness. The findings suggest that this integrated system could offer a viable, low-cost solution for addressing microplastic pollution in urban drainage systems, with potential for widespread urban implementation.

In the era of globalization and intense business competition, the quality of products and services is crucial for competitiveness, particularly for Micro, Small, and Medium Enterprises (MSMEs) like Angkringan, a traditional culinary business in Indonesia. The article explores Total Quality Management (TQM) as a strategy for these businesses to enhance operational efficiency, reduce waste, and improve customer satisfaction. The study involved direct interviews with the owner of Angkringan D’Amerta to analyze TQM application covering quality control procedures, customer satisfaction, and continuous improvement. Results indicated a deeper understanding of customer preferences and the importance of maintaining quality standards through the training of staff and development of operational procedures. The findings suggest that effective quality management can significantly enhance business performance and customer engagement in the digital era. The paper advocates for routine training, implementation of standard operating procedures, and regular quality assessments to ensure consistent service and product quality.

VIACOM is a well-accredited computer training institution in Jambi City, but its registration and payment system is still inefficient and not responsive to the needs of course participants. The current system is not well integrated, leading to various issues such as data input errors, schedule mismatches, and delays in data updates, which result in operational disruptions and potential revenue loss. Therefore, it is necessary to design a system that can improve staff performance in handling registration and payments, as well as reduce potential disruptions and delays. In this system design, the prototype method is used to allow iterative development, involving users at each stage so the system can be adjusted to meet existing needs and feedback. This approach provides flexibility to improve and optimize the system based on the feedback obtained, with the expectation of producing a system that is more effective, efficient, and in line with user expectations.

This study examines strategies to increase financial literacy to encourage the growth of MSME financial performance in Semarang Regency. Using a qualitative approach, the study involved 120 MSMEs with data collection through in-depth interviews, observations, and focus group discussions. The results of the study show that the condition of financial literacy is still low, with 65.3% of MSMEs not doing regular financial records, 77.5% mixing business-personal finance, and 81.7% lacking understanding of financial products. Structured mentoring programs with a holistic approach have proven to be effective in increasing the financial management capacity of MSMEs, marked by an increase in turnover (35.2%), operational efficiency (24.7%), and access to capital (19.8%). Multi-stakeholder collaboration and digital technology integration are key factors in the success of the program. The research results in a financial literacy development framework that can be adapted for implementation in other regions.

The rapid development of information technology and telecommunications has driven companies and MSMEs to adopt desktop, mobile, and web-based applications to enhance operational performance. PT HPS Painan Padang, previously relying on manual ticket bookings, faced challenges in efficiency and susceptibility to brokering practices. To address this, a web-based travel ticket booking application was developed, enabling customers to book tickets online more practically, quickly, and conveniently, anytime and anywhere. The integration of Natural Language Processing (NLP) technology in the form of a chatbot further enhances service efficiency and responsiveness. This feature provides real-time information on departure schedules, seat selection, and payment transactions while also supporting sentiment analysis and swift responses to customer feedback, ultimately improving service quality. The application, built using PHP, MySQL, and CodeIgniter with a Prototype development approach, adapts to changing market demands. Testing via GTmetrix on the https://desistravel.xyz/backend page demonstrated excellent performance with an 88% Performance score, 95% Structure score, and optimal Web Vitals metrics, indicating a fast, responsive, and stable platform. The final product is a user-friendly web-based ticket booking application supported by an intelligent chatbot, offering a seamless user experience, enhancing customer satisfaction, and streamlining the travel booking process efficiently.

Congestion in Pontianak City significantly impacts traffic flow, affecting both efficiency and comfort of road transit. The city's unsignalized intersections, crucial for managing vehicle flow from multiple directions, are under scrutiny for their performance. A study using the Indonesian Road Capacity Guidelines (IRCG) has assessed intersections, that the degree of saturation often exceeds acceptable limits, leading to congestion and increased delays. The research highlights that the current capacity of these intersections is insufficient to handle the growing traffic demand. For instance, under maximum traffic flow conditions, one intersection recorded a total traffic flow of 2,978.20 pcu/hour against a capacity of 2,716.40 pcu/hour, resulting in a degree of saturation of 1.096. This indicates a need for interventions like installing traffic signals or modifying road geometry to enhance flow efficiency. Despite these findings, the analysis of existing conditions specific unsignalized intersections showed a level of service value of E and F, suggesting that these intersections currently require immediate improvements. However, to further improve intersection performance, recommendations include reducing side obstacles, enhancing road geometry, and installing two-phase traffic signals, which offer the highest capacity with minimal delay. These measures aim to ensure that Pontianak City's transportation infrastructure can effectively.

This study discusses the implementation of the Excise Services Information System (ExSIS) application at the Sidoarjo Customs and Excise Office as an innovation in public services. The objective is to evaluate the effectiveness of ExSIS in improving operational performance and provide recommendations for its development. This research employs a qualitative method with interviews conducted with Customs and Excise officers and service users, analyzed using Everett M. Rogers' diffusion of innovation theory. The results indicate that ExSIS improves time efficiency by up to 80% and reduces administrative errors by 70%. However, challenges such as user adaptation and the need for adequate infrastructure remain. In conclusion, ExSIS has enhanced efficiency and transparency in Customs and Excise administration. The study recommends continuous training, infrastructure upgrades, and internal policy revisions to maximize the application’s potential in supporting faster and more accurate public services.

The rapid growth of information technology, including cloud computing, the Internet of Things, and artificial intelligence, is driving increased energy consumption and carbon emissions in the technology sector. A report by the International Energy Agency (IEA) projects that global data center electricity consumption will more than double, reaching approximately 945 TWh by 2030, or about 3% of global electricity consumption. A Deloitte study even estimates that data centers could contribute around 4% by 2030, primarily driven by the growing use of artificial intelligence. Beside physical infrastructure, software also significantly contributes to energy consumption, necessitating Green IT and Green Software approaches to reduce environmental impact. This research aims to identify and classify energy metrics used in the literature, analyze the trade-offs between energy consumption and system performance, and summarize relevant best practices for application in industrial settings. This research uses the Systematic Literature Review (SLR) method, referring to the Kitchenham protocol. The search was conducted on the IEEE Xplore, ACM Digital Library, ScienceDirect, SpringerLink, and arXiv databases for articles published between 2021 and 2025 that included empirical data or conceptual models related to the energy efficiency of information systems. From the screening process, a number of articles were obtained and analyzed thematically. The research results show that energy metrics vary from hardware-based measurements (power meter) to estimation models (GSMM, GSMP). A trade-off was also found between energy savings and performance, necessitating a multi-objective optimization approach. This research contributes by providing a framework for classifying energy metrics, visualizing measurement method trends, and offering methodological recommendations that can be integrated into industrial practice. The implications of this research are to support digital sustainability efforts while simultaneously reducing the organization's operational costs.