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This research aims to determine and analyze the influence of the physical work environment, job training, compensation and work discipline on the performance of CV employees. Bintang Rema Utama Purwokerto production department. The population in this study were all employees of CV. Bintang Rema Utama Purwokerto production section in November 2023 as many 149 people. The samples obtained were 109 using the probability sampling method with a sampling technique, namely simple random sampling technique. This research uses multiple linear regression analysis tools with the help of SPSS statistics 26 software. The results of this research show that the physical work environment, job training, compensation and work discipline have a positive and significant effect on the performance of CV employees. Bintang Rema Utama Purwokerto production department. The implication in this research is that there is more attention from CV leaders. Bintang Rema Utama Purwokerto strives to improve the performance of its employees, such as providing lighting, circulation and room humidity that supports it, providing training materials that are easy to understand, providing adequate benefits and facilities, and warning employees whose attendance is not on time.

The rapid advancement of quantum computing has significantly impacted data security, as classical cryptographic algorithms such as RSA and ECC are increasingly vulnerable to quantum attacks. This study aims to evaluate the performance of classical and post-quantum cryptographic algorithms in a quantum simulation environment, focusing on stability, efficiency, and computational time. The research method employed experimental simulations using Qiskit, where cryptographic algorithms were modeled into quantum circuits and tested across varying qubit sizes of 128, 256, 512, and 1024. The simulation results indicate that classical algorithms face substantial limitations, with exponentially increasing computational time and drastically reduced stability beyond 512 qubits. In contrast, post-quantum algorithms demonstrated superior performance, maintaining high stability up to 1024 qubits, achieving greater quantum efficiency, and showing resilience against quantum attacks such as Shor’s and Grover’s algorithms. These findings highlight the urgent need to transition toward post-quantum cryptography as a more adaptive and reliable approach to safeguarding data in the quantum era. Although post-quantum algorithms still face certain challenges, such as larger key sizes and slightly higher computational costs at smaller scales, their overall benefits are far more significant in ensuring sustainable information security. Therefore, adopting post-quantum cryptography represents a strategic step that must be prioritized to address the evolving risks posed by quantum computing technologies.

The rapid transformation of higher education driven by the advancement of digital technologies and the COVID-19 pandemic has accelerated the adoption of online learning platforms across universities worldwide. This study investigates the relationship between the use of online learning platforms, academic performance, and student engagement among university students. Using a cross-sectional survey design, data were collected from students actively participating in online learning environments to analyze how frequency of platform use influences academic outcomes and engagement levels. The results reveal a positive correlation between online learning engagement and academic performance, indicating that students who consistently participate in live sessions, complete assignments, and interact with peers and instructors achieve better academic results. Cognitive and behavioral engagement were found to be the most influential factors contributing to improved learning outcomes, while emotional engagement played a supportive role in maintaining motivation and persistence. Despite these benefits, several challenges were identified, including social isolation, limited face-to-face interaction, and technological barriers that hinder full participation. Comparisons with traditional learning environments highlight that online platforms provide greater flexibility and personalized learning opportunities but lack the immediacy of in-person interaction. Furthermore, differences between local and international contexts underscore the role of infrastructure and institutional readiness in ensuring equitable online learning experiences. The study concludes that effective integration of technology, instructor presence, and collaborative tools can enhance engagement and academic success in digital learning environments. Future research should explore long-term impacts, including the role of gamification and artificial intelligence in sustaining motivation and improving educational outcomes.

This study aims to explore the role of Information Management Technology (TMI) in expediting the filing of office letters at SMA Tunas Pelita Binjai. The main focus of this research is to analyse the impact of TMI implementation on efficiency, information disclosure, and service quality improvement in letter filing. The research methods used include centralised interviews with teachers and TU staff as respondents, analysis of system usage data, and business process modelling. The results show that the implementation of TMI has contributed significantly in improving the efficiency of office letter filing at SMA Tunas Pelita Binjai. The integrated database system allows the storage and management of letters to be more structured and easily accessible. In addition, TMI also enables higher information disclosure and improved quality of school administration services. The integration of TMI not only provides internal benefits to the office in records management, but also contributes to the improvement of the office's image and reputation in service to stakeholders. By continuing to maintain and develop the existing TMI system, it is expected that SMA Tunas Pelita Binjai can continue to improve its performance and services to achieve better standards in the future.

This research investigates the implementation of Customer Relationship Management (CRM) in the Micro, Small and Medium Enterprises (MSME) and startup sectors. Through a qualitative approach, data was collected from a number of MSMEs and startups to analyze the factors that influence the adoption and success of CRM implementation. The findings show that limited resources, lack of knowledge about the benefits of CRM, and dependence on technological infrastructure are the main challenges in adopting CRM systems. However, CRM has also been found to have great potential in increasing customer retention, developing more suitable products, and expanding into new markets. Practical implications of these findings include recommendations for appropriate resource allocation, employee training, and more effective digital marketing strategies. The contribution of this research lies in a deeper understanding of CRM implementation in the context of MSMEs and startups as well as practical guidance for improving business performance through effective CRM strategies.

The application of Business Ethics and Corporate Social Responsibility has an important role in forming a company that is strong and has high competitiveness. Ethical business is the foundation of good business principles, this includes superior and sustainable business performance through compliance with applicable ethical and legal guidelines. The Corporate Social Responsibility Program is also one of the obligations that must be carried out by companies in accordance with the contents of Article 74 Paragraph 1 of Law Number 40 of 2007 concerning Limited Liability Companies. This is because, in building a business it must also provide benefits that can be felt by the business environment and society.

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 gap between awareness of integrity in business and lowering standards of behavior is growing. The implication is that the attribute of integrity is only given to individuals with morality that conforms to societal standards. However, assigning the attribute of integrity does not always require moral approval. This research aims to analyze the influence of a culture of behavioral integrity on the work environment. The results of this research can be used as a reference and reference regarding behavior integrity in the work environment. This research uses library research methods. The results of the discussion concluded that a culture of behavioral integrity had a positive and significant effect on performance at several institutions. A behavioral culture of integrity also has a significant influence on company performance. Integrity in the workplace has benefits such as maintaining integrity, reducing stress, increasing job satisfaction, and building a positive organizational culture for employee development.

This study explores the impact of peer-mentoring programs on vocational high school (SMK) students, focusing on academic resilience, dropout rates, and overall academic performance. The research compares the outcomes of students in schools with and without peer-mentoring programs. The findings indicate that students participating in peer mentoring exhibited significantly lower dropout rates (12%) compared to those in the control group (22%). Additionally, the continuation rate for students in the experimental group was higher (88%) than in the control group (78%). Academic performance was also positively affected, with an average score of 75 for the experimental group, compared to 65 for the control group. Statistical analysis confirmed the significance of these differences, highlighting the positive effects of peer-mentoring programs. The study suggests that peer mentoring not only enhances academic performance but also contributes to improved student retention by providing emotional and social support. The results underscore the importance of well-structured mentoring programs, including effective mentor training and proper matching between mentors and mentees, to maximize the benefits for vocational students.

This study explores the application of green hydrogen technology for industrial decarbonization, focusing on its techno-economic and environmental feasibility. A quantitative approach was used, incorporating system modeling of a solar-based hydrogen production system combined with electrolyzers. The techno-economic assessment involved calculating the Levelized Cost of Hydrogen (LCOH), estimating capital and operational expenditures (CAPEX and OPEX), and evaluating the system's energy efficiency and hydrogen output. The environmental impact was analyzed using Life Cycle Assessment (LCA), comparing the carbon footprint of green hydrogen with fossil-based hydrogen. The results reveal that green hydrogen can reduce carbon emissions by up to 60% compared to fossil hydrogen, primarily due to the use of renewable energy for production. Additionally, the study found significant improvements in energy efficiency as electrolyzer performance and solar capacity increased. The LCOH is expected to decrease steadily as solar panel and electrolyzer prices continue to fall, enhancing the competitiveness of green hydrogen in the energy market. The findings also highlight the potential for heavy industries, such as cement and steel production, to transition from fossil fuels to green hydrogen, contributing to a cleaner industrial energy mix. This transition presents both environmental and economic benefits, with long-term savings from reduced fossil fuel dependency and lower production costs.

The advent of 5G technology has marked a significant shift in the telecommunications industry, offering transformative improvements in service speed, latency, and network reliability. This study explores the impact of 5G on operational efficiency and service innovation in telecom companies. By examining the operational performance of three leading telecom companies that have implemented 5G networks, the research identifies key improvements in speed, cost reduction, and resource optimization. The findings highlight that 5G has enabled companies to achieve up to 100 times faster data transfer speeds compared to previous generations, drastically reducing latency and enhancing network reliability. These improvements contribute to increased customer satisfaction, faster response times, and reduced operational costs. Additionally, the integration of artificial intelligence (AI) for network management has optimized resource allocation and further enhanced the efficiency of telecom operations. The research also demonstrates how 5G has driven innovation in service offerings, such as enabling smart cities, IoT integrations, autonomous vehicles, and real-time patient monitoring in healthcare. While the deployment of 5G offers numerous benefits, the study acknowledges challenges such as high infrastructure costs, digital inequality, and regulatory hurdles. Telecom companies must invest significantly in infrastructure and navigate complex regulatory environments to fully realize the potential of 5G. The study concludes that 5G technology has the potential to reshape the telecom sector, fostering greater competitiveness, service quality, and innovation. Future research should focus on the long-term impact of 5G on customer loyalty, its expanded applications, and its role in advancing future technologies such as 6G.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

The maritime industry, as one of the vital sectors in the global economy, plays an indispensable role in facilitating international trade and the transportation of goods worldwide. However, confronted with challenges of heightened global competition and fluctuations in fuel prices, the industry needs to seek solutions to enhance efficiency and overall performance. This study assesses the application of Lean Management Principles in the maritime industry, emphasizing strategies such as value stream mapping, waste identification, and employee training as crucial for success. Findings reveal potential for enhancing operational efficiency and reducing waste, along with additional benefits such as heightened customer satisfaction and contributions to environmental sustainability. Recommendations for further research encompass case studies on Lean Management implementation in the maritime industry, the development of tailored implementation models, and investigations into the environmental ramifications of Lean Management application. In conclusion, the implementation of Lean Management holds significant promise for improving the performance of the maritime industry and fostering its overall development.

Individual Competency describes a characteristic or ability possessed by each employee in carrying out work. Of course, paying attention to existing factors and indicators can create quality competencies and improve employee performance. By using the literature study method, it is hoped that we will be able to analyze individual competencies accurately according to data from existing sources. So in this case, the development of human resources within the company will be of high quality. This article describes individual competencies which include the relationship between employee performance and motives, traits, self-concept, knowledge and skills, and the benefits for the company and employees. This material is designed to help employees develop their ability to develop, increase resilience, ability to face problems and develop skills in innovation and improve their individual performance. With individual competency, employees can shape their personality and increase employee knowledge, and employee skills will have a positive impact on maximizing company productivity.

Cyber Physical Systems (CPS) are vital for managing and controlling critical infrastructures, such as industrial control systems, power grids, and transportation networks. These systems integrate digital and physical components, offering numerous benefits for industrial automation. However, the increasing interconnectivity of these systems has introduced new security vulnerabilities, particularly in anomaly detection and system reliability. This research aims to address these challenges by proposing an edge based anomaly detection framework that leverages lightweight deep learning models, specifically designed to operate efficiently on resource constrained edge devices. Literature Review: Previous studies have shown the effectiveness of anomaly detection in CPS, with traditional methods struggling to keep up with the complexity and scale of modern industrial environments. Machine learning and deep learning approaches, particularly hybrid models combining rule based systems and AI, have emerged as effective solutions for real time anomaly detection. Techniques such as model compression, quantization, and pruning are essential for adapting these models to resource limited edge devices while maintaining high detection accuracy and low latency. Materials and Method: The proposed framework integrates deep learning models such as Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTM) networks, optimized for edge computing environments. The datasets used for training and testing include industrial network traffic and sensor anomaly datasets. Model optimization techniques like pruning and quantization were applied to reduce computational overhead and energy consumption on edge devices. Results and Discussion: The framework demonstrated high detection accuracy (AUC of 0.9720) with ultra low latency (0.0019 seconds training time), making it highly suitable for real time anomaly detection in CPS. Resource efficiency was achieved by optimizing the models for edge devices, reducing energy consumption while maintaining performance. The framework also significantly improved security by identifying anomalies early, preventing potential threats to critical infrastructures. Future directions include exploring federated learning to enhance privacy and data sharing across distributed devices.

This study aims to examine the implementation of performance evaluation system for teachers in Madrasah Ibtidaiyah (MI) Al-Hayah. Teacher performance evaluation is important in improving the quality of education and the effectiveness of learning in madrasah. This study used qualitative research methods with a case study approach. The research participants included 20 teachers of MI Al-Hayah, by collecting data through in-depth interviews, classroom observations, and document analysis related to performance evaluation. The results show that the implementation of the performance evaluation system at MI Al-Hayah still faces several challenges, such as a lack of understanding of the purpose of the evaluation, lack of management support, and limited resources. The results show that the implementation of an effective performance evaluation system provides significant benefits for teachers and administrative personnel at MI Al-Qur'an Al-Hayah. This performance evaluation system provides a clear picture of the quality of individual performance, identifies strengths and weaknesses, and provides constructive feedback for professional development. In addition, the system also contributes to increased motivation and work accountability.

This research aims to analyze the impact of task areas and position allowances on device performance in an organization. The research method uses a quantitative approach by collecting data through surveys and statistical analysis. The research sample involved a number of officers at various levels of positions in representative organizations. Task area variables are identified and classified, while position allowances are evaluated based on the type and amount received. The results of the analysis show that there is a significant relationship between the task area and position allowances and device performance. The implications of these findings can help organizations design more effective policies regarding the management of job duties and benefits to improve device performance.

 This research aims to determine the benefits of audio-visual media in improving students' writing skills. This research uses an experimental design approach. The types of experimental research that refer to this research are Quasi Experimental Design involving 60 students of the Indonesian Language and Literature Education study program class of 2021. One class is for the control class and the other class is for the experimental class. The instruments used in this research were performance test questions for the pretest and performance test questions for the students' posttest. Apart from these research instruments, there are manual notes from lecturers and students, and photos of activities during the learning process. The methods used to analyze the data obtained are quantitative and qualitative. The results of the research show that the application of audio-visual learning media has an effect on the language drama script writing skills of PGRI University West Sumatra students. From the results of data analysis, it can be seen that the effectiveness of the treatment is in the high category.   Keywords: Writing Skills, Drama Scripts, Audio Visual   Abstrak. Penelitian ini bertujuan untuk mengetahui manfaat media audio visual dalam meningkatkan keterampilan menulis mahasiswa. Penelitian ini menggunakan pendekatan experimental design. Jenis-jenis penelitian eksperimen yang merujuk kepada penelitian ini adalah Quasi Experimental Design dengan melibatkan sebanyak 60 orang mahasiswa program studi Pendidikan Bahasa dan Sastra Indonesia angkatan 2021. Satu kelas untuk kelas kontrol dan satu kelas lainnya untuk kelas eksperimen. Instrumen yang digunakan dalam penelitian ini adalah soal tes unjuk kerja untuk pretest dan soal tes unjuk kerja untuk posttest siswa. Selain instrumen penelitian tersebut dengan catatan manual dosen dan mahasiswa, dan foto kegiatan selama proses kegiatan pembelajaran berlangsung. Metode yang digunakan untuk menganalisis data yang diperoleh, yaitu kuantitatif dan kualitatif. Hasil penelitian menunjukan bahwa melalui penerapan media pembelajaran audio visual berpengaruh terhadap keterampilan menulis naskah drama berbahasa mahasiswa Universitas PGRI Sumatera Barat. Dari hasil analisis data terlihat bahwa besaranya efektivitas treatment berada pada kategori tinggi.     Kata kunci: Keterampilan Menulis, Naskah Drama, Audio Visual

This study assesses the effectiveness of peer tutoring programs in enhancing students' performance in STEM subjects (Science, Technology, Engineering, and Mathematics). A longitudinal analysis of a peer tutoring initiative in a high school setting revealed significant improvements in both the academic performance of tutees and the tutoring skills of peer tutors. The research highlights the mutual benefits of peer tutoring, with tutees gaining better understanding of STEM concepts and tutors reinforcing their own knowledge. The findings suggest that peer tutoring is a valuable pedagogical tool in STEM education.

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.