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The rapid digital transformation occurring in the field of education, particularly through the integration of artificial intelligence (AI), has created new opportunities for improving learning efficiency, personalizing instruction, and supporting educators’ workloads. However, these advancements also bring forth significant philosophical challenges, especially the potential for dehumanization within the educational process. This article examines how technology influences the fundamental human dimensions of learning and how the concept of humanization can serve as an ethical framework for designing and implementing educational technologies. AI-based digital learning environments often position learners as data objects, reducing the dialogical, empathetic, and relational aspects that are fundamental to humanistic education. Drawing on philosophical perspectives from existentialism and humanism, this study evaluates the potential threats to student autonomy, critical thinking, and character formation. Furthermore, it explores how the human–technology relationship can be ethically framed through the theory of technological mediation and Paulo Freire’s notion of liberatory education. The analysis indicates that technology can be humanized by emphasizing meaningful interaction, ensuring algorithmic transparency, and strengthening the role of teachers as mediators of values and empathy. Ultimately, the article argues that the benefits of AI in education can only be fully realized when technological development and implementation are guided by an ethical orientation that places human beings at the center. This study contributes to ongoing discussions on the role of technology in education and provides a critical perspective aimed at minimizing the risk of dehumanization in an era increasingly shaped by AI-driven digital learning.

The rapid development of the digital era has led to a major shift in the modern workplace, with over 1.5 billion people spending more than six hours daily in front of computer screens. This working condition poses significant occupational health risks, including Musculoskeletal Disorders (MSDs) such as Low Back Pain (LBP) and neck strain, with a global prevalence of 60-80%. Furthermore, prolonged screen exposure and high workload contribute to mental health issues like chronic stress and digital fatigue. This community service aimed to increase awareness among PT. XYZ employees regarding the importance of integrated ergonomics to achieve optimal productivity. The method used was an informative sharing session through a presentation and discussion. The material emphasized a three-pronged intervention approach: physical ergonomics (workstation adjustment), technology-based interventions (wearable devices, break reminder apps, and electromagnetic radiation prevention), and mental well-being integration (mindfulness and relaxation techniques). The results showed a significant increase in participant understanding of the health risks and the practical steps to implement integrated ergonomic solutions. It was found that combining technology-based reminders and mindfulness exercises can reduce health complaints by up to 40% better than physical interventions alone. The implication of this service is the recommendation for PT. XYZ to adopt an integrated ergonomic policy that addresses physical, technological, and mental aspects to create a healthier, safer, and more productive work environment for its employees.

This research uses a quantitative approach with a survey method involving employees of PT Sepulsa Technology Indonesia. At this start, 60 respondents were taken as samples. The study uses SmartPLS 4.0 statistics to test the hypothesis. The results of the analysis showed that the workload variable has a negative and non-significant influence on the turnover intention, the work stress has a positive and significant influence upon the turnover intentions, the working environment has a negative and insignificant effect on turnover intention, the load of work, work stres, and the work environment have a significant simultaneous influence over the turnover intention. This research has the accuracy of research objects that are carried out only by employees of PT. Sepulsa Technology Indonesia. The innovation in this research combines variables of workload, work stress, and work environment against the turnover intention of employees of PT. Sepulsa Technology Indonesia.

This study examines the implementation of home care-based health service innovations at Dr. M. Thomsen Nias Regional General Hospital as an adaptive strategy to overcome limited access to services in island regions. The aim is to analyze the benefits, challenges, and strategies for strengthening the program, with a focus on human resource management aspects. The research method employs a descriptive qualitative approach through in-depth interviews, participatory observation, and documentary studies involving relevant stakeholders. The results indicate that home care significantly improves accessibility for vulnerable groups, reduces geographical barriers, and enhances the quality of interaction between healthcare workers and patients. The program's success is influenced by visionary leadership, selective recruitment, continuous training, and sustained work motivation. However, challenges such as high workloads, logistical limitations, and suboptimal cross-unit coordination remain. The implications of this research emphasize the importance of institutional strengthening, the establishment of a dedicated home care unit, the use of information technology, and cross-sector collaboration based on local values to ensure the sustainability of the program and improve the health status of communities in remote areas. Furthermore, this study underscores the importance of continuously evaluating the performance of home care services through measurable indicators based on local needs. Routine monitoring and active community involvement as beneficiaries can increase accountability and encourage participation in maintaining service continuity. Strengthening an organizational culture that is adaptive and responsive to changes in the external environment is also key to anticipating the dynamic health needs of island communities. Thus, the home care approach is not merely a short-term solution but also part of the transformation of the health care system toward a more inclusive and socially just model. 

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

Fatigue is a critical issue in labour-intensive small industries, especially in traditional food production such as tofu manufacturing. This study aims to develop a fatigue classification model using a decision tree algorithm by integrating subjective assessments of the work system through the Macroergonomic Organizational Questionnaire Survey (MOQS) and objective physiological indicators, specifically Cardiovascular Load (CVL). The research was conducted in a tofu home industry located in Kalisari Village, Banyumas, Indonesia. Primary data were collected from 10 workers through MOQS questionnaires and heart rate measurements taken at rest and during work. CVL values were calculated and used as labels for classification into three categories: low, moderate, and high fatigue. Meanwhile, MOQS dimension scores (organization, job, personal, environment, and technology) were transformed into interval data and used as classification features. A decision tree model was built using the CART algorithm and visualized for interpretability. The results show that all workers experienced at least moderate fatigue, with 20% categorized as high fatigue. The decision tree revealed that the dimensions of organizational and personal factors were the most influential in predicting fatigue levels. The model provides a practical and interpretable tool to support decision-making in scheduling, workload balancing, and ergonomic interventions. This study demonstrates a novel approach to combining macroergonomic assessments and physiological data with machine learning for practical fatigue risk management in small-scale food production environments.

This study uses a qualitative method and starts from the title “The Role of Human Resource Management in Improving the Quality and Productivity of Cow’s Milk: A Literature Study”. This study aims to examine in depth how human resource (HR) management plays a role in improving the quality and productivity of cow’s milk through a literature review. Effective HR management, such as employee placement according to workload, ongoing training, and competency development, has been shown to increase production efficiency and the quality of cow's milk. In addition, factors such as health management, technology utilization, and work environment management are also important aspects in supporting dairy farm productivity. This literature study found that the synergy between HR management and optimization of internal resources, such as finance, technology, and physical, contributed significantly to the development of dairy farming businesses and the achievement of sustainable milk production standards. Thus, an integrated HR management strategy is needed to answer the challenges and demands of the ever-growing market in the dairy farming sector.

This study aims to analyze the impact of online learning on students' learning independence at the secondary school level. The research is motivated by the significant shift in the education system due to the pandemic, which required students to adapt to technology-based distance learning. A descriptive qualitative approach was employed, utilizing data collection techniques such as observation, interviews, and documentation, supported by quantitative questionnaires from previous studies. The findings indicate that online learning has both positive and negative effects on students' learning independence. Positive impacts include increased student responsibility in completing assignments, ease of accessing learning materials anytime and anywhere, and enhanced parental involvement in supporting their children's learning at home. However, negative effects were also identified, such as students' tendency to engage excessively in gaming, reduced effectiveness of the learning process, and delays in task submission due to workload accumulation. Regression analysis results show a significant influence between online learning and learning independence, although the effect is moderate to low in some cases. Factors such as learning motivation, self-efficacy, and the support of the online learning environment play crucial roles in shaping student independence. The study recommends collaboration among government, schools, teachers, parents, and the wider community to improve the quality and quantity of online learning facilities, as well as more varied learning strategies to optimally support the development of students' learning independence.

Innovation in the education sector has become increasingly important alongside the rapid advancement of digital technology, which has enabled the emergence of various platforms and applications designed to enhance teaching and learning quality. One area significantly impacted by this transformation is educational evaluation, where digital solutions offer more efficient, accurate, and data-driven assessment processes. This study aims to identify and analyze the role of the Evaloexam application in driving educational innovation while fostering the development of technological entrepreneurship among its users. The research employed a quantitative methodology using a survey approach involving educators and students at the senior high school (SMA) level who actively utilize the Evaloexam platform. A total of 100 respondents were selected through random sampling techniques, and data were collected over one month using structured online questionnaires. The collected data were analyzed using both descriptive and inferential statistical methods to measure user perceptions, system effectiveness, and innovation impact. The findings indicate that Evaloexam plays a significant role in facilitating educational evaluation processes by streamlining exam administration, automating grading, and providing analytical insights into student performance. These capabilities contribute to improved efficiency, reduced administrative workload, and more objective assessment practices. Furthermore, the application encourages the development of technological entrepreneurship by stimulating user interest in digital product innovation, educational technology development, and technology-based problem solving. The results are consistent with prior studies emphasizing the positive relationship between technology integration and improvements in educational effectiveness and operational efficiency. Practically, this research suggests that Evaloexam and similar digital evaluation platforms hold strong potential for broader implementation within educational systems to support innovation ecosystems and technology-driven learning environments. However, this study is limited by its relatively small sample size, focus on a single application, and short data collection timeframe. Future research is recommended to involve larger and more diverse populations, extended study durations, and comparative analyses across multiple evaluation platforms to obtain more comprehensive findings.

This study aims to analyze the impact of workload and work environment on reducing medication error through the use of technology as an intervening variable in the Inpatient Pharmacy Depot of RSUD Kota Bogor. Medication error refers to errors in the medication process that can endanger patients, and this research examines how workload, work environment, and technology influence such errors. The research method employed is quantitative, using a survey approach with questionnaires distributed to 30 pharmaceutical staff at the Inpatient Pharmacy Depot of RSUD Kota Bogor. Data analysis was conducted using the Partial Least Square (PLS) method. The results show that workload has a significant effect on medication error. The higher the workload, the greater the risk of medication errors. However, workload does not have a significant impact on the use of technology. On the other hand, the work environment does not significantly affect medication error, but it does have a significant influence on the use of technology. Technology, in turn, does not significantly reduce medication error and does not mediate the relationship between workload or work environment and medication error.Based on these findings, it is recommended that the management of RSUD Kota Bogor improves workload management and optimizes the use of technology by providing better training to pharmaceutical staff. Additionally, efforts should be made to enhance the work environment to better support the implementation of technology in reducing medication errors and improving patient safety.

The training and mentoring activities for the use of Artificial Intelligence (AI) tools for teachers were chosen with the aim of enhancing or improving teachers’ understanding and ability to implement AI technology in the educational environment. Initial interviews revealed a lack of knowledge and skills among teachers in utilizing AI tools, which affects the quality and effectiveness of learning. The methods applied in this community service include counseling and training, preceded by surveys and interviews. Teachers were given intensive training that included an overview of AI and how to apply AI tools in the teaching and learning process. Additionally, there was an implementation phase that required teachers to design and implement simple AI-based learning applications as supporting media. The AI tools used included Gamma, IlovePDF, chatPDF, and ChatGPT. The results showed significant improvements in teachers’ understanding and skills in using AI tools. Teachers were able to create AI-based learning applications aimed at enhancing interaction between teachers and students. Furthermore, teachers could reduce administrative workload and optimize resources. Thus, the use of AI can have a positive effect on the quality of learning. The implementation of AI also facilitates teachers’ work in managing administration, such as handling attendance, assessments, and lesson planning.  

As the constitution of Indonesia, the 1945 Constitution (UUD 1945) serves as the basis for the drafting of laws governing various aspects of life, including health and occupational safety (K3). The 1945 Constitution does not explicitly regulate K3 but provides the foundation for the development of laws governing this field. Effective occupational health and safety (K3) practices help reduce workload and the risk of injuries in the workplace. This includes the identification, assessment, and control of potential hazards, as well as the enhancement of safety and health protection in the workplace. By implementing good K3 practices, companies can ensure that their employees work in safe and healthy environments, thus reducing workload and increasing productivity. The purpose of the study on Occupational Health and Safety (K3) Management and Workload is to analyze the relationship between K3 factors and employee workload, and to assess the impact of K3 programs on employee workload and overall health status. To address these challenges, collaborative efforts between the government, companies, labor unions, and K3 experts are required. Adequate resource provision, effective training, and inclusive safety culture promotion are key to enhancing K3 implementation. Additionally, technology can be utilized to strengthen risk monitoring and management systems in the workplace. In conclusion, the implementation of K3 in the workplace requires a comprehensive and sustainable approach to achieve a safe and healthy working environment for all employees. With strong cooperation among various stakeholders, it is hoped that a robust and sustainable safety culture can be established across various industrial sectors.

This research explores the factors contributing to the high rate of workplace accidents in the shipping industry, highlighting the complexity of challenges in enhancing safety. Key factors such as unexpected weather conditions, human error, lack of training, unsafe working environments, and high workload pressure create an environment susceptible to accidents. Holistic prevention efforts, including improved training and the implementation of advanced technology, are necessary to reduce risks. The study also emphasizes the unique work environment impacts, such as weather and the complexity of ship operations, as well as the psychological, organizational, and social influences on safety and occupational health. With a better understanding of these factors, it is hoped that more effective prevention strategies can be designed to create a safer working environment for ship crews.