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This study discusses the phenomenon of digital entrepreneurship in the era of global climate awareness, focusing on the integration of artificial intelligence (AI) ethics, sustainable technology, and green innovation. The main issues raised are the fragmentation of analysis between digital business ethics, green economic opportunities, and technological challenges such as greenwashing, high AI energy consumption, and the digital divide. The purpose of this study is to formulate an interdisciplinary framework that combines ethical, technological, and sustainability dimensions to strengthen the role of digital entrepreneurs in achieving low-carbon development. The methods used include critical literature analysis, bibliometrics of 200 publications (2018-2025) using VOSviewer, and fuzzy logic-based simulations using the UNESCO AI ethics framework (2021) and the sustainable business model of Bocken et al. (2014). The results show four main research clusters: AI for Sustainable Innovation, Ethical Digital Business, Blockchain for Green Supply Chain, and Circular Digital Economy. The application of AI ethics increases the efficiency of green business decisions by up to 20%, consumer trust by 17%, and MSME participation by 14%. The synthesis of findings confirms that AI ethics acts as a conceptual mediator that strengthens the link between technological innovation and sustainability. In conclusion, ethical digital entrepreneurship has great potential as a driving force for Indonesia's green economy, but it requires digital ethics audit policies and the adoption of low-carbon technologies to address ethical and environmental risks in the AI era.

This research examines the use of blockchain technology to support energy sustainability in urban areas. Blockchain offers transparency, security, and efficiency in recording and distributing energy data, potentially optimizing renewable energy use and reducing carbon emissions. The research method involves literature analysis and simulations of blockchain applications in urban energy systems. The results show that blockchain implementation can increase energy distribution efficiency by up to 20%, reduce data reporting time by up to 99%, and reduce carbon emissions by 50%. In conclusion, blockchain technology can be a strategic innovation in supporting the transition to a sustainable and environmentally friendly energy system.

Community preparedness for disasters and emergencies is an essential component in reducing morbidity and mortality. This community service program aimed to empower the community in emergency response through optimizing the role of tourism actors based on Tourism Health Nursing in Versel Village, Pasean District. The methods implemented included socialization, risk screening, the establishment of health cadres, the development of an emergency response handbook, creation of health education media, as well as training and simulation activities. The training covered topics such as recognizing emergency conditions, management of cardiac arrest and respiratory failure, choking, first aid (P3K), utilization of household materials in emergency response, management of febrile seizures, and stress management. The results showed a significant improvement in cadres’ understanding, where prior to education, training, and simulation, most participants (60%) had low comprehension, while after the intervention, almost all (90%) demonstrated good understanding. These findings indicate that the program successfully enhanced the capacity and preparedness of the community—particularly health cadres—in managing emergencies and disasters within the tourism-based community environment.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

In recent years, with the rapid development of artificial intelligence, many innovative changes have been made in the field of intelligent mobile robot development. In the field of control and navigation of mobile robots, learning-based methods have many advantages over traditional ones. The study of mobile robot control methods using deep reinforcement learning is a remarkable area in the development of mobile robots that must operate in dynamic environments. In the previous studies, the proposed robot control algorithms using deep reinforcement learning are mostly based on the given target point and obstacle information, the robot path planning is performed, and the corresponding control is based on the obtained path. The DDPG-based method is a typical example. However, in dynamic environments, DRL based robot path planning requires a state of target point and obstacles information, which leads to a large amount of computation, resulting in extremely long convergence time and even non-convergent cases. In this paper, we propose a new method for mobile robot control in dynamic environment that solves the dimensional problem by extracting the features of the configuration of obstacles using autoencoder and learning the DDPG algorithm based on the obtained features. Simulation results show that the proposed algorithm can effectively solve the mobile robot control problem in dynamic environment.

The development of digital technology has driven the  increasing use of e-modules as interactive learning media that support  independent and collaborative learning. The integration of pedagogical approaches and multimedia technology makes e-modules increasingly adaptive and effective in developing higher-order thinking skills. This study aims to map trends in the development and utilization of e-modules through a Systematic Literature Review (SLR)  of Scopus articles published in 2020–2024. From the selection process, 20 articles were analyzed based on their pedagogical approach, as well as the media and digital platforms used. The study results show that pedagogical approaches such as Problem-Based Learning, STEM, SETS, Discovery Learning, and Guided Inquiry have been consistently proven to improve critical thinking skills, learning outcomes, and 21st-century competencies. From a technological perspective, Android and flipbook platforms are the primary choices due to their flexible access and multimedia support such as video, animation, simulations, and interactive quizzes. These findings emphasize the importance of developing systematic, pedagogically-based e-modules supported by interactive multimedia.  Further research is needed to explore the integration of AR/VR, gamification, and artificial intelligence.   

The low understanding of nutritious food choices among elementary school children remains a problem because it impacts their health, learning abilities, and future eating habits. A similar situation was found at SDN 3 Picungremuk, where students often choose flavored foods without considering their nutritional content. This community service activity aims to improve students' nutritional knowledge through education on the concept of "Isi Piringku" (My Plate). The implementation stages include identifying needs through observation and discussions with teachers, developing materials tailored to children's development, conducting interactive socialization, and practicing how to assemble a balanced meal plate using visual media. Evaluation was carried out through pre- and post-tests accompanied by food selection simulations. The output showed a significant increase in understanding. Before the education, most students were unable to combine foods correctly. After the activity, all participants were able to assemble a meal plate according to the principles of balanced nutrition. These findings prove that the use of visual media and hands-on practice is an effective method for instilling healthy eating habits in elementary school children.

Minang Rua Beach in South Lampung possesses significant tourism potential that has not been optimally utilized, primarily due to the lack of creative promotional events and limited community skills in event management. This community service aimed to enhance the capacity of the local Tourism Awareness Group (Pokdarwis) and youth in designing, managing, and promoting tourism events effectively. The method employed was a participatory training approach that included lectures, discussions, and hands-on practice covering creative event design, logistics management, budgeting (RAB), and digital promotion strategies. The training activities were met with high enthusiasm and active participation from the community members. The participants gained new, practical knowledge and skills in event planning and promotion, as demonstrated by their active engagement during interactive sessions and simulations. The improved capacity of the local community is expected to foster the independent and sustainable organization of creative events, thereby enhancing the destination's attractiveness and increasing tourist visits. Event Training, Tourism Promotion, Community Empowerment, Tourism Village, Minang Rua Beach.

The implementation of the Independent Community Service Program (KKN) of the University of Muhammadiyah North Sumatra in 2025 was placed at SD Negeri 102028 Sei Parit, located in Sei Rampah District, Serdang Bedagai Regency. This activity aims to instill the habit of saving from an early age in elementary school students as an effort to improve Islamic financial literacy in order to form a character of thrift, responsibility, and financial intelligence. The method used is an interactive learning approach through educational stories, games, learning videos, and mini banking simulations. The results of the activity show that students have a better understanding of the importance of saving, managing pocket money, are able to explain the benefits of saving in their own words, and are encouraged to start saving habits, both at home and at school. Early savings education has proven effective in fostering awareness of wise and future-oriented money management and is expected to become an applicable model for Islamic financial literacy learning at the elementary school level.

The disparity in the quality of rehabilitation services across regional work units presents a significant challenge to effective public management. This study aims to bridge the gap between problem diagnosis and policy prediction by proposing a hybrid, data-driven approach. We integrate K-Means Clustering to map the current state of service quality and Stochastic Simulation to predict the impact of strategic interventions. Using the 2024 Public Satisfaction Index (IKM) dataset from the National Narcotics Agency (BNN), the K-Means algorithm initially identified 26 work units (15.7%) in the "Red Zone" (critical performance), highlighting urgent areas for improvement. Next, a stochastic simulation modeling a "Directed Priority Intervention" scenario was run. The results predicted a significant structural shift in the distribution of service quality, characterized by an 80.8% decrease in critical units (down to 5 units) and a 71.8% increase in excellent performing units (up to 67 units). These findings validate that the integration of clustering and simulation provides a comprehensive framework for evidence-based decision-making, enabling policymakers to optimize resource allocation and efficiently accelerate national service standardization.

The implications of progressivism in learning serve as an essential foundation for building an educational process that fosters active, creative, adaptive, and innovative students in accordance with 21st-century competency demands. The progressive approach positions students at the center of the learning process through direct experience, deep exploration, collaboration, dialogue, experimentation, and problem-solving relevant to real-life contexts, ensuring that learning is not only focused on content mastery but also on the development of potential, character, independence, and higher-order thinking skills. This study employs a literature review method by examining primary and secondary sources on the principles of progressivism, active learning strategies, and their relation to the Merdeka Curriculum as a foundation for national educational transformation. The findings indicate that progressivism plays a significant role in shaping critical thinking, creativity, communication, collaboration, digital literacy, and initiative through the implementation of learning by doing, project-based learning, simulations, scientific experiments, reflective discussions, and technology integration that strengthens learner autonomy. This experience-based approach effectively supports students in constructing knowledge independently while enhancing confidence, responsibility, social awareness, and cooperative skills. However, its implementation still faces challenges such as passive learning culture, limited teacher competence in active methods, insufficient facilities, overloaded curriculum, psychosocial barriers, academic anxiety, and students’ low confidence in expressing opinions. These findings affirm that progressivism is highly relevant to educational reform in Indonesia; therefore, improving teacher competence, strengthening facilities, reinforcing policies, providing continuous support, and creating safe, democratic, inclusive, and supportive learning environments are essential to help students develop optimally as independent, creative, and innovative learners.

This study aims to simulate the M/M/1 queueing system using Python through a Modeling and Simulation approach supported by the Discrete-Event Simulation (DES) method. The objective of the research is to analyze key performance indicators of queueing behavior, including arrival time, service time, waiting time, queue length, and server utilization. The methodology employs DES, which models system behavior based on discrete events such as customer arrivals, service initiation, and service completion. The simulation generates stochastic arrival and service times using Poisson and exponential distributions, respectively. The results indicate that the DES-based M/M/1 simulation accurately reflects theoretical queueing behavior, showing increases in waiting times and queue lengths when arrival rates approach service rates, while server utilization corresponds to system load intensity. The findings demonstrate that DES is an effective approach for analyzing queue performance and can be extended to more complex models such as multi-server systems, priority queues, and predictive simulations using artificial intelligence.

Character development and organizational skills for students are essential aspects of the development of student organizations, including outdoor enthusiast groups. This activity aims to provide socialization on motivation, leadership, and organizational management to prospective members of MAPALA Surya Rimba at Muhammadiyah University of Purworejo. The community service activity was conducted on November 15, 2025, at 07:30 WIB, at the campus of Muhammadiyah University of Purworejo. This event is part of the 27th basic training (Diklatsar) series of MAPALA Surya Rimba. The methods used in this activity include interactive lectures, discussions, case studies, and organizational simulations. The results of the activity showed an increase in participants' understanding of achievement motivation, organizational management, roles of members, and basic coordination skills within an organization. Additionally, this activity triggered participants' awareness to build character, discipline, responsibility, teamwork, and to reflect the professional attitude of MAPALA members. This activity has the potential to be developed into a continuous development program to strengthen leadership quality and organizational management within MAPALA Surya Rimba.

This study aims to conduct a systematic literature review and bibliometric analysis on Transformational Leadership (TL), based on empirical research. Despite extensive studies on TL in recent decades, comprehensive research remains limited. The methodology used is a Systematic Literature Review (SLR) of articles containing “Transformational Leadership” in the title, abstract, or keywords, sourced from the Scopus database, which yielded 1,297 publications from 1977 to 2025. The data were analyzed using VOSviewer software. The findings suggest that TL is an innovative model in vocational education, bridging industrial systems with academic environments for authentic, practice-based learning. However, challenges include limited resources, insufficient instructor training, and inadequate institutional support. Recent innovations, such as advanced ICT, holographic technology for real-time interaction, and digital twins for process optimization, have enhanced the model's effectiveness. The study also discusses the conceptual framework of TL. This research uses the Scopus database, and future studies could broaden its scope by incorporating other databases like Web of Science. Practically, the study’s findings suggest integrating modern pedagogical strategies, including gamification, simulation, and project-based learning, to enhance student engagement and understanding of manufacturing processes. Socially, it encourages educational institutions to invest in infrastructure, strengthen industry partnerships, and provide continuous instructor training. This study highlights the growing global research on TL and calls for deeper exploration of the topic in existing literature.

The utilization of Artificial Intelligence (AI) in the workplace has expanded rapidly, focusing not only on improving efficiency but also on strengthening human resource capacity. This review article aims to analyze the contribution of AI in supporting the development of soft skills and the formation of adaptive professional personalities. The method employed is a literature review of academic publications related to the use of AI in developing nontechnical competencies. The findings indicate that AI has been proven to enhance efficiency and productivity through the automation of routine tasks, faster data analysis, and more precise decision-making support. However, the success of AI implementation does not lie in replacing human roles but rather in harmonizing the functions of machine intelligence with the unique abilities of humans, such as empathy, intuition, creativity, and ethical reasoning. Human–AI collaboration emerges as a key approach to ensuring that technology remains human-centered, enabling digital transformation to proceed ethically, inclusively, and sustainably. Additional findings show that AI is capable of providing personalized learning, real-time feedback, and contextual simulations that effectively train communication, collaboration, problem-solving, creativity, and critical thinking skills. Human-centered AI integration also supports the development of professional personalities that are adaptive and responsive to change.

The main problem with the water heating system on offshore platforms is the absence of water level monitoring and automatic overflow detection. This has the potential to cause hot water spills that endanger workplace safety and operational efficiency. This research designs and implements a water level monitoring system based on the Arduino Uno microcontroller with HC-SR04 ultrasonic sensors. The system is equipped with LED indicators, a buzzer alarm, and a 16x2 LCD to display water level status in real-time. Water levels are classified into three zones (low, medium, high), and overflow is detected if the water is within 3 cm of the sensor. Testing was conducted on a 5-liter simulation tank representing actual 500-liter tank conditions. Test results showed a reading accuracy of 96% and a quick system response to overflow conditions (<1 second). This system is economical, easy to develop, and highly applicable for offshore environments. In addition, this system can be integrated with IoT technology for remote monitoring.

This community service program aims to improve digital literacy among residents of Sentang Urban Village, Kisaran Timur Subdistrict, Asahan Regency. The main issues addressed include low public awareness of safe and healthy internet usage and the risks of data misuse, hoaxes, and cyberbullying. A participatory counseling method was employed, involving residents directly in discussions, simulations, and digital security practices. The results show a significant increase in participants’ understanding of digital ethics, cybersecurity, and wise internet usage. Additionally, the activity led to the formation of a new social institution called the Internet Safety Awareness Group (KWSIS), which serves as a community-based educational forum. These findings indicate that participatory approaches are effective in fostering digital literacy-based social change.

Bloating in infants can also accompany other digestive disorders, such as vomiting, diarrhea, abdominal pain, and constipation. Babies with gas often vomit easily. Babies with diarrhea will have low potassium levels, resulting in bloating. One benefit of infant massage is addressing complaints of bloating and colic in infants. Tummy massage is a gentle abdominal massage designed to encourage trapped air to move. The goal is to move gas and other materials from the intestines to the large intestine. The method used was preparation through coordination with midwives and cadres in Selokerto Village, Sempor District, Kebumen Regency. The activity was implemented through lectures and tummy massage simulations. While evaluation and follow-up plans for the activity were carried out by evaluating the knowledge of mothers of toddlers and can be implemented independently using leaflets distributed to mothers of toddlers. The number of respondents in this activity was 10 mothers of toddlers. The activity went smoothly, all mothers enthusiastically participated in the activity. Respondents were aged between 20-34 years. The level of knowledge of respondents before the activity was that most had sufficient knowledge about bloating/colic in toddlers and tummy massage. Meanwhile, after the knowledge activity, most responded well. Conclusion: The community service activity was effective in increasing respondents' knowledge about gas/colic in toddlers and tummy massage.

This community engagement program aims to analyze and strengthen institutional synergy among the Special Crimes Division, the Civil and Administrative Affairs Division, and the Intelligence Division of the Palangka Raya District Prosecutor’s Office through a community-organizing framework and participatory collaboration. The initiative stems from a strategic need to optimize coordination, enhance the effectiveness of law enforcement, and foster the development of an integrated work pattern that is responsive to the complexities of contemporary legal issues. Using the participatory action research (PAR) method, the program was implemented through participatory assessments, thematic discussions, field observations, case simulations, and the strengthening of legal administration, all of which collectively contributed to substantial improvements in analytical capacity, professionalism, and cross-divisional communication patterns. The findings indicate that synergy across divisions not only enhances the technical efficiency of case handling but also generates institutional social change through the establishment of new work routines, the emergence of local leaders, and the strengthening of internal social capital. Theoretically, these outcomes reinforce perspectives from collaborative governance, organizational learning, and institutional change, which emphasize that institutional transformation can only be achieved through functional integration, knowledge exchange, and the cultivation of a collaborative institutional culture. This program recommends the institutionalization of coordination procedures, the utilization of information technology as a tool for data integration, and the implementation of continuous synergistic training to sustain the changes achieved. Consequently, this engagement contributes both empirically and conceptually to the development of an adaptive, integrated law enforcement model aimed at improving the quality of public service delivery.

This community engagement program aims to analyze and strengthen institutional synergy among the Special Crimes Division, the Civil and Administrative Affairs Division, and the Intelligence Division of the Palangka Raya District Prosecutor’s Office through a community-organizing framework and participatory collaboration. The initiative stems from a strategic need to optimize coordination, enhance the effectiveness of law enforcement, and foster the development of an integrated work pattern that is responsive to the complexities of contemporary legal issues. Using the participatory action research (PAR) method, the program was implemented through participatory assessments, thematic discussions, field observations, case simulations, and the strengthening of legal administration, all of which collectively contributed to substantial improvements in analytical capacity, professionalism, and cross-divisional communication patterns. The findings indicate that synergy across divisions not only enhances the technical efficiency of case handling but also generates institutional social change through the establishment of new work routines, the emergence of local leaders, and the strengthening of internal social capital. Theoretically, these outcomes reinforce perspectives from collaborative governance, organizational learning, and institutional change, which emphasize that institutional transformation can only be achieved through functional integration, knowledge exchange, and the cultivation of a collaborative institutional culture. This program recommends the institutionalization of coordination procedures, the utilization of information technology as a tool for data integration, and the implementation of continuous synergistic training to sustain the changes achieved. Consequently, this engagement contributes both empirically and conceptually to the development of an adaptive, integrated law enforcement model aimed at improving the quality of public service delivery.