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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.

The availability of quality human resources provides an opportunity for leaders to select the best employees for strategy implementation. However, the effectiveness of strategy implementation depends not only on human resources but also on the organizational culture and leadership style applied. Based on the results of the first hypothesis test, it was found that the organizational culture variable has a positive and significant effect on employee performance at the Pesisir Selatan Regency DPMDPPKB. Therefore, in this study, the first hypothesis (H1) is accepted. Based on the results of the second hypothesis test, it was found that the leadership style variable has a positive and significant effect on employee performance at the Pesisir Selatan Regency DPMDPPKB. Therefore, in this study, the second hypothesis (H2) is accepted. Organizational culture partially has a positive and significant effect on employee performance. Therefore, it can be concluded that if organizational culture improves, employee performance will also improve. Leadership style has a positive and significant effect on employee performance. Therefore, it can be concluded that if leadership style improves, employee performance will also improve. Organizational Culture and Leadership Style simultaneously have a positive and significant effect on employee performance at the Pesisir Selatan Regency DPMDPPKB. Therefore, it can be concluded that if Organizational Culture and Leadership Style improve simultaneously, employee performance will also improve.

Stocks represent a capital market instrument with the potential to generate high returns. When making investment decisions, investors typically assess various internal aspects of a company, including its financial performance. The objective of this study is to examine the influence of profitability, liquidity, and leverage ratios on stock prices in the Indonesian banking sector, with a particular focus on state-owned banks, in both partial and simultaneous regression models. The methodology employed is quantitative analysis, with a secondary data set being utilized. The sample was determined using a purposive sampling technique, covering four state-owned banks (BRI, BNI, Mandiri, and BTN) for the 2010-2024 period. The findings of the analysis demonstrate that profitability and leverage exert a substantial negative influence on the stock prices of these banking institutions, while the liquidity ratio does not demonstrate a significant effect. Concurrently, all three variables exert an influence on stock prices, with an R-squared value of 58%.

The primary objective of this research is to enhance English academic proficiency among seventh-grade pupils at UPT SMP Negeri 4 Takalar, specifically regarding "Introduction" subject matter, through the application of the Problem-Based Learning (PBL) framework. This study was necessitated by observed deficiencies in student engagement and challenges in vocabulary acquisition, particularly concerning regular and irregular verbs, which had previously led to unsatisfactory academic performance. Utilizing a Classroom Action Research (CAR) design, the investigation was executed over two distinct cycles with a cohort of 24 students from Class VII B. Data acquisition involved the administration of performance assessments and systematic classroom observations. Subsequent analysis revealed a marked enhancement in learning achievements. During Cycle I, the mean score was recorded at 78.75, corresponding to a classical mastery rate of 37.5%. Following instructional refinements in Cycle II, the average score rose to 80.42, while the classical mastery rate increased to 50%. Moreover, observational evidence highlighted constructive behavioral shifts characterized by heightened engagement in collaborative discussions and improved oral communication confidence. Consequently, this study concludes that deploying the PBL model serves as an effective strategy for augmenting both English academic achievement and social interaction within the classroom environment.

This study aims to analyze human resource management (HRM) based on Islamic boarding school values ​​in strengthening educator professionalism and sustaining academic performance at MA Al-Amiriyyah Blokagung. The study focuses on the process of internalizing Islamic boarding school values ​​in HRM policies and practices and their implications for educator professionalism and the sustainability of the institution's academic quality. This study uses a qualitative approach with a case study design. Data collection was conducted through in-depth interviews with madrasah leaders and educators, observations of institutional practices, and documentation studies of policies and human resource development programs. Data analysis was conducted thematically through the stages of data reduction, data presentation, and drawing conclusions. The results show that Islamic boarding school values ​​such as sincerity, service, discipline, exemplary behavior, and moral responsibility have been internalized normatively and practically in HRM policies, particularly in aspects of human resource planning, recruitment, coaching, and evaluation of educator performance. These values ​​shape educator professionalism that is not only based on pedagogical competence, but also an ethos of devotion and moral integrity. The human resource development and coaching system contributes to maintaining work motivation and consistent academic performance among educators. However, the internalization of Islamic boarding school values ​​still tends to be cultural and person-centered, and has not been fully institutionalized in written policies, standard procedures, and long-term strategic planning. Therefore, its sustainability remains dependent on leadership figures. The implications of this research emphasize the importance of strengthening the institutionalization of Islamic boarding school value-based human resource management (HRM) through formal policies, a sustainable human resource development system, and systematic managerial governance to ensure the sustainable maintenance of educator professionalism and the institution's academic performance.

This study aims to determine the influence of work discipline (variable X1) and work culture (variable X2) on employee performance (variable Y). The research method used is a descriptive and verifiable method with a quantitative approach. Data collection techniques include observation, interviews, documentation, and literature studies to obtain comprehensive and relevant data for the purpose of the research. Data analysis techniques are carried out systematically, starting from the data compilation process, data tabulation, to the hypothesis testing stage. Data analysis uses multiple linear regression to determine the influence of each independent variable on the dependent variable. The results showed that the determination coefficient (R²) value was 69.8%, which means that work discipline and work culture simultaneously have a significant effect on employee performance. Meanwhile, 30.2% of employee performance was influenced by other factors outside of the study, such as motivation, work ability, leadership, personality, job satisfaction, work environment, and employee loyalty. Thus, it can be concluded that improving work discipline and a positive work culture plays an important role in improving.

Koperatives are a form of people-based economic organization that play a strategic role in improving community welfare and strengthening the national economy. However, many cooperatives still face organizational and managerial challenges that limit their economic performance. This study aims to analyze the relationship between cooperative organizational structures, governance mechanisms, and the economic performance of cooperatives in the context of modern economic transformation. A qualitative descriptive approach was employed to gain an in-depth understanding of organizational practices within cooperatives. Data were collected through in-depth interviews, participatory observation, and document analysis involving cooperative managers, members, and supervisors selected purposively. The findings indicate that cooperatives with clear organizational structures, professional management, transparent governance, and active member participation tend to demonstrate better economic performance and sustainability. Conversely, weak organizational arrangements and low member involvement are associated with stagnation in cooperative economic activities. These results highlight that organizational quality is a key determinant of cooperative success, not merely financial factors. The study implies that strengthening cooperative governance, improving human resource capacity, and enhancing member participation are essential strategies to increase the competitiveness of cooperatives in the digital economy era. This research contributes to the development of cooperative economic theory and provides practical recommendations for cooperative managers and policymakers.

The study aimed to find out the nature of the budget, know the modern techniques of preparing and implementing the budget, and the consequences of preparing budget based on the modern techniques on performance of government. The descriptive-analytical approach was used to meet the objectives and hypotheses of the research. The data was gathered through a questionnaire whereby 60 questionnaires where distributed to a sample population of accountants working in the Financial Affairs Department at the General Directorate of Education in Wasit Governorate (Iraq), and 57 questionnaires were collected to establish the views of the accountants regarding the effect of preparing and implementing budgets under the modern techniques on the government performance. This paper came up with a number of conclusions. Preparation of the general budget of the state is a technical and political process that involves and is involving different actors in the state. The budget preparation process is a technical process since it involves numerous key calculations that can be used to quantify the anticipated revenues, the cost of activities likely to be obtained in the year and estimation of the planned expenditures. The process of preparing the budget through the traditional ways (line-item budgeting) does not contribute to the optimal planning and budget allocation of the state and, therefore, the fulfillment of the goals laid out by the countries. This paper advises on the need to focus on the current approaches in the budget preparation because they enhance governmental performance, enhance the effectiveness and efficiency of state expenditures, strive to diversify the income, and convert the policies and goals of the state into a definite and actualized reality on the ground, with the help of standards and indicators that modern means of preparing the budget have offered. And to act to modernize the budget system in Iraq, profiteering with the experience of other countries in this domain, and that modernization be a progress, commencing with the budgeting of some ministries or departments within ministries and bodies gradually with the aim of acquiring more experience and expertise, and then meet the impediments which will emerge to proceed to a complete transition.

This study is motivated by the importance of financial and asset management strategies in supporting the operational effectiveness of the Regional Disaster Management Agency (BPBD) of Central Sulawesi, which plays a strategic role in disaster mitigation, preparedness, emergency response, and post-disaster recovery. The main problems addressed are how financial and asset management strategies are implemented, to what extent they affect operational effectiveness. The objectives of this research are to analyze the applied strategies, assess their influence on operational effectiveness, and identify challenges as well as relevant solutions.The literature review refers to public financial management theories, regional asset management, and previous studies highlighting the relationship between financial governance, accountability, and public sector performance. This study employs a quantitative approach with a descriptive design. Data were collected through literature study, observation, interviews, and questionnaires distributed to BPBD staff in finance and asset divisions. The analysis included validity and reliability tests, along with multiple linear regression to examine the effect of independent variables on operational effectiveness. The findings show that BPBD Central Sulawesi’s financial management strategy in 2024 achieved a realization rate of 89–100% in most programs, although imbalances were found in certain activities such as the disaster management system arrangement, which only reached 38%. In terms of asset management, fixed assets dominate with a book value of IDR 19.6 billion, with significant growth in equipment and machinery. Regression analysis results indicate an R² value of 0.817, meaning that 81.7% of operational effectiveness is influenced by financial and asset management strategies, while the remaining 18.3% is explained by other factors.The study concludes that financial and asset management strategies significantly affect BPBD’s operational effectiveness. Nevertheless, challenges such as limited human resources, inadequate information systems, and discrepancies in budget realization require solutions through capacity building, technology utilization, and improved planning mechanisms to optimize disaster management effectiveness.

The strategic role of SMEs in the Indonesian economy and the phenomena of declining performance as a result of the Covid-19 pandemic motivated author to research this sector. Various internal problems make it difficult for SMEs to improve their performance and competitiveness in a competitive business environment. Using the dynamic capability perspective, this study examines the influence of human resource configuration through employee training and organizational culture which is able to encourage innovation that improves SME performance. This study uses purposive sampling technique and data collection is done through questionnaires and interviews with 122 SMEs in East Java. Data analysis is carried out using PLS SEM. The research results show that employee training does not have a direct effect on SME performance, however employee training is able to encourage innovation which has an impact on improving SME performance On the other hand, organizational culture has a significant direct and indirect effect on SME performance trough innovation. Results of this study can be used as a consideration by SME owners in making business decisions in order to improve their performance. From the theoretical side, the results of this study confirm the dynamic capability theory by Teece and Pisano regarding the key role of innovation and Becker's opinion from a human resource management perspective which states that employee training must be designed systematically according to the long-term needs of the organization in order to have an impact on improving organizational performance.

The success of a company is not only determined by the quality of the products and services offered, but also by the company's ability to manage employee relations, which is part of the internal public relations function. Without a targeted strategy, companies risk facing low motivation and declining performance. This study aims to understand the employee relations strategy of PT. Resultan Karya Indonesia (Rekanesia) in motivating employee work. The theory used refers to Albrecht (2020) which includes internal communication, rewards, career development programs, work flexibility, and conflict resolution mechanisms. The research method uses a descriptive qualitative approach with interview, observation, documentation, and source triangulation techniques. The results show that the employee relations strategy at Rekanesia is implemented through weekly communication forums, one-on-one meetings, providing material and non-material appreciation, flexible working hour policies, and informal activities such as team building. This strategy has been proven to increase employee motivation, satisfaction, and loyalty, thereby creating a productive and conducive work environment. Practically, this research can provide input for PT. Resultan Karya Indonesia to continue strengthening a more effective, participatory, and sustainable internal communication strategy, so that the company is able to face competitive challenges while maintaining its existence in the modern era.  

This study explores the impact of work–life balance on job performance among Generation Z employees in Jakarta, with job satisfaction as a mediating variable and family-supportive supervisor behavior as a moderating variable. Generation Z, the largest segment of Indonesia's workforce, values flexibility and supportive leadership, but their job performance often shows inconsistency. Previous studies have yielded mixed results on the relationships between work–life balance, job satisfaction, and job performance, with limited empirical evidence on the role of family-supportive supervisor behavior, particularly in Indonesia. Using a quantitative approach, data were collected from 385 Generation Z employees in Jakarta through purposive sampling. Structural Equation Modeling (SEM) with SmartPLS 4.0 was used for data analysis. Results indicate that work–life balance positively influences both job satisfaction and job performance. Additionally, job satisfaction partially mediates the relationship between work–life balance and job performance, suggesting that a better work–life balance enhances job satisfaction, which in turn improves performance. The study also shows that family-supportive supervisor behavior significantly strengthens the positive effect of work–life balance on job performance. These findings contribute to the literature by clarifying how work–life balance affects job performance among Generation Z employees and highlighting the importance of supportive leadership.

Motorcycles are one of the main modes of transportation widely used by the Indonesian people due to their practicality, efficiency, and ability to support daily mobility. However, many motorcycle users complain about the suboptimal engine power, especially when the vehicle is used on extreme terrains outside urban areas, such as uphill roads, rocky paths, or long distances. This situation has driven the development of various innovations in the automotive field to improve engine performance. One widely applied method is the oversize technique on the piston and piston block, which aims to increase the combustion chamber capacity, thereby maximizing the power output. This study aims to analyze the significant comparison of engine performance after the application of the oversize method on the KVY engine type, as well as to examine the factors influencing the optimization of engine performance based on the philosophy and needs of the vehicle owner. The testing method used a dynamometer to measure the increase in torque and engine power. The test results showed that the daily oversize application resulted in a torque increase of 1.19 Nm and a power increase of 0.85 Hp compared to the standard condition. Meanwhile, the oversize for competition needs showed more significant improvements, with a torque increase of 7.97 Nm and a power increase of 8.12 Hp. These findings demonstrate that the oversize method can significantly enhance engine performance according to its intended use.

This study aims to examine the effect of job rotation, physical work environment, and spiritual motivation on the performance of amil employees at BAZNAS Tanjungpinang City. This research adopts a quantitative approach using a survey method. The population consists of all amil employees at BAZNAS Tanjungpinang City totaling 35 respondents, and a census sampling technique is applied. Data were collected through questionnaires and analyzed using multiple linear regression with SPSS version 27. The partial test results indicate that job rotation and the physical work environment do not have a significant effect on amil employees’ performance. In contrast, spiritual motivation has a positive and significant effect on performance. Simultaneously, job rotation, physical work environment, and spiritual motivation collectively have a significant effect on the performance of amil employees at BAZNAS Tanjungpinang City. These findings highlight the important role of spiritual motivation in improving employee performance, particularly within zakat institutions that are strongly grounded in Islamic values.

Employee performance is a key factor in determining organizational success in achieving its strategic objectives. Various management studies indicate that employee performance is not solely influenced by individual factors, but is also significantly affected by organizational factors, particularly organizational planning and organizational structure. Effective organizational planning provides a clear direction and strategic framework that guides employees in performing their tasks, while an appropriate organizational structure facilitates coordination, clarifies authority, and supports the efficient execution of work. This study aims to analyze the influence of organizational planning and organizational structure on employee performance through a systematic literature review approach. The research method employed is a systematic literature review by examining relevant national and international journal articles published within the last ten years. Data were collected from reputable academic databases to ensure the credibility and relevance of the sources. The selected studies were analyzed qualitatively to identify patterns, relationships, and key findings related to the research variables. The results of the literature review indicate that systematic and well-formulated organizational planning contributes positively to improving goal clarity, work coordination, and employee motivation. Furthermore, an organizational structure that is aligned with organizational strategies plays an important role in clarifying task distribution, authority lines, and overall work effectiveness. The findings also reveal that organizational planning and organizational structure are interrelated and mutually reinforcing in shaping employee performance. This study concludes that the integration of organizational planning and organizational structure is a crucial factor in enhancing sustainable employee performance. The results of this study are expected to provide both theoretical contributions to organizational management studies and practical references for organizations in designing effective management systems.  

Nickel has become a strategic mineral in the global industrial value chain, particularly for stainless steel production and electric vehicle battery manufacturing. As one of the world’s largest nickel producers, Indonesia has implemented a downstream industrialization policy aimed at increasing value added and strengthening export performance. This study analyzes the effects of international nickel prices, destination countries’ GDP per capita, exchange rates, and the downstreaming policy on the value of Indonesia’s nickel exports (HS 75) over the period 2010–2023. The study employs a quantitative approach using panel data regression with secondary data covering five major export destination countries, namely China, Japan, South Korea, Thailand, and Singapore. Based on the Chow and Hausman tests, the Fixed Effects Model is selected as the most appropriate estimation technique, indicating the presence of country-specific heterogeneity among importing countries. The results show that destination countries’ GDP per capita and international nickel prices have a positive and statistically significant effect on Indonesia’s nickel export value. The downstreaming policy dummy variable also exhibits a positive and significant impact, suggesting that the nickel ore export ban implemented since 2020 has effectively shifted export composition toward higher value-added processed nickel products. In contrast, exchange rates are found to have no significant effect on export performance. Overall, the findings provide empirical evidence supporting the effectiveness of Indonesia’s downstream industrialization policy and highlight the importance of global demand conditions in driving the performance of processed nickel exports.

The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

Big data platforms face significant challenges related to cybersecurity and privacy due to the vast volume, variety, and velocity of data they manage. Traditional static security measures often fail to address the dynamic and complex nature of big data environments. This research proposes an adaptive cybersecurity framework that integrates dynamic access control and differential privacy mechanisms to enhance both the security and privacy of big data platforms. The dynamic access control mechanism continuously adjusts access permissions in real-time based on changing risk and trust levels, ensuring that sensitive data remains secure even as user roles and data flows evolve. The differential privacy mechanism adds noise to data, preserving individual privacy while allowing for meaningful data analysis. Through simulations and case studies, the framework was evaluated in various real-world environments, including healthcare, IoT, and finance, where it demonstrated scalability, efficiency, and robust security performance. The results showed that the proposed framework significantly reduced unauthorized access attempts and maintained data privacy, while still enabling effective data analysis. Although there were some challenges regarding performance overhead, particularly in resource-constrained environments, the framework remained effective in large-scale systems. The findings highlight the importance of adaptive security practices in big data environments and suggest that future research should focus on refining dynamic security mechanisms and applying differential privacy in diverse real-world scenarios. These advancements are essential for ensuring that big data platforms can handle evolving cyber threats without compromising data utility or privacy.

Human–Robot Interaction (HRI) systems increasingly rely on data-driven approaches to interpret multimodal sensory inputs and support natural interaction. However, purely neural-based HRI models often suffer from limited interpretability and insufficient context-aware decision-making, which can reduce user trust and adaptability in dynamic interaction scenarios. To address these limitations, this study proposes a hybrid neural–symbolic HRI framework that integrates multimodal neural perception with explicit symbolic reasoning for adaptive and interpretable robot behavior. The proposed system combines deep neural networks for processing visual, speech, and gesture inputs with a rule-based symbolic reasoning layer that models interaction context, user states, and behavioral constraints. A loosely coupled integration strategy enables neural outputs to be transformed into symbolic representations, allowing logical inference to guide action selection while preserving perceptual accuracy. The framework was evaluated through controlled HRI experiments comparing a neural-only baseline with the proposed hybrid configuration across multiple interaction scenarios. Experimental results demonstrate that the hybrid neural–symbolic system significantly improves interaction accuracy, contextual responsiveness, and user satisfaction, while achieving substantial gains in interpretability. These findings indicate that symbolic reasoning effectively complements neural perception by enhancing transparency and context-aware adaptation without compromising performance. The study concludes that hybrid neural–symbolic architectures provide a promising foundation for developing trustworthy, adaptive, and human-centered HRI systems.

The increasing demand for real time parallel processing in cloud computing environments necessitates the development of more efficient and fault-tolerant scheduling algorithms. Traditional scheduling methods, such as static algorithms, often fall short when handling dynamic workloads and system failures, leading to increased task latency and reduced system performance. In contrast, adaptive scheduling algorithms dynamically adjust to changes in system conditions and workloads, ensuring timely task completion and optimized resource utilization. This study evaluates the performance of adaptive scheduling algorithms in real time cloud environments, focusing on key factors such as task latency, system resilience, and fault tolerance. Simulation experiments were conducted using cloud computing models that incorporate fault injection scenarios, including network failures and virtual machine crashes. The results show that adaptive algorithms significantly outperform traditional static schedulers in terms of task latency reduction and improved system resilience. These algorithms demonstrated better fault recovery times and ensured consistent real time performance, even under failure conditions. The findings highlight the advantages of adaptive scheduling in cloud environments, particularly for applications requiring rapid data processing and high system reliability. Despite the promising results, challenges remain regarding the scalability and complexity of these algorithms in large-scale cloud systems. Further research is needed to optimize adaptive scheduling algorithms for efficiency, scalability, and comprehensive performance evaluation, taking into account factors such as energy consumption, cost, and reliability. This research contributes to advancing cloud computing infrastructures that can dynamically handle real time tasks and maintain high performance under varying workloads and failures.