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Bullying in secondary schools is a serious issue that affects students’ psychosocial well-being and academic achievement, and significantly disrupts the learning climate and the quality of social relationships among students. This community service activity aimed to implement the Child-Friendly School Program through anti-bullying socialization at SMA N 1 Kersana in order to enhance the understanding and commitment of all school members in creating a safe, inclusive, and sustainable learning environment. The method employed a participatory approach, including needs assessment, interactive socialization sessions, focus group discussions, case simulations, and structured evaluation using pre-test and post-test instruments. The results indicated a 23% increase in participants’ understanding based on the comparison of scores before and after the intensive implementation of the program. Furthermore, a “Bullying-Free School” declaration was established along with a plan to strengthen the Violence Prevention and Handling Team as a more systematic sustainability strategy. These findings confirm that participatory-based socialization effectively reinforces the implementation of the Child-Friendly School Program and fosters a safe, inclusive, sustainable, and responsive school culture that supports students’ positive character development.

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

Queueing systems play an important role in evaluating service performance, especially in small-scale businesses such as barbershops, where fluctuating customer arrival patterns and limited service capacity often lead to long waiting times. This study aims to analyze the performance of barbershop services using the M/M/1 queueing model and an analytical approach based on experimentally tested arrival (λ) and service (μ) rates. The model was selected because it represents a single-server system with Poisson arrivals and exponentially distributed service times, closely matching real barbershop operational characteristics. Using assumed realistic parameters, the analysis shows that when λ = 12 customers per hour and μ = 6 customers per hour, the system becomes unstable with a utilization rate (ρ) exceeding 1, indicating continuous queue growth. Further simulations with increased service rates demonstrate significant improvements: at μ = 15, the system achieves ρ = 0.8 with an average waiting time of 16 minutes, while at μ = 13, the system remains stable but experiences a long waiting time of approximately 55 minutes. These findings emphasize that barbershop performance is highly sensitive to service speed and that even small increases in μ can produce substantial improvements in queue stability and customer waiting times. The study concludes that barbershops must ensure adequate service capacity—either through optimizing service duration, improving worker efficiency, or adding servers—to maintain service quality and enhance customer satisfaction.

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.

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.

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.

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.

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 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.

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.

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.

In the era of digital transformation, modern, systematic, and integrated archive management has become a crucial element in creating effective, efficient, and accountable education governance. Office Management and Business Services (MPLB) teachers in East Java still face obstacles in implementing technology-based archive management due to limited digital literacy, lack of supporting facilities, and minimal ongoing training relevant to 21st-century needs. This Community Service (PKM) activity aims to improve the professional competence of MPLB teachers in modern archive management through interactive workshop-based training, intensive mentoring, and direct simulation of the use of digital archiving applications. The implementation methods included participant needs analysis, problem-solving-based module development, digital archive management practice using a cloud system, and pre-test and post-test-based evaluation to measure competency improvement. The results of the activity showed an average increase in participant understanding of 42%, a 58% increase in operational skills in using archiving applications, and a 35% increase in archive management time efficiency. In addition, teachers are able to implement an electronic file classification system in schools and build a database of digitized documents. These activities strengthen transparent and sustainable educational administration, as well as supporting the realization of inclusive and globally competitive education in line with the Asta Cita vision towards Indonesia Emas 2030.

Bridge planning is a fundamental aspect in the development of transportation infrastructure that functions to connect regions, facilitate traffic flow, and support economic and social growth in the community. This study aims to comprehensively examine the stages of bridge planning, from identifying traffic needs and analyzing geotechnical conditions to selecting a structure type, and evaluating technical, economic, and environmental aspects. The methods used include field surveys, traffic data collection, design load analysis, and structural simulation using modeling software. The study results indicate that bridge type selection is not only determined by load capacity and cost efficiency, but must also consider sustainability, aesthetics, and the impact on the surrounding ecosystem. This study emphasizes the importance of integrating technical, social, and environmental aspects in bridge planning, so that the resulting design can provide a safe, efficient, and sustainable solution. Thus, bridge planning is not merely a technical process, but also a development strategy that supports connectivity and community welfare.

The transformation of history learning in the context of 21st-century education aims to prepare students to face the challenges of an increasingly complex and dynamic world. The concept of 21st-century learning emphasizes the development of critical, collaborative, and creative skills, which are highly relevant to studying history. History learning in the 21st century must include a more interactive approach, utilizing technology as a tool to deliver historical material in a more engaging and relevant manner. Through innovative models such as project-based learning and inquiry learning, students can be more actively involved in the learning process, not only receiving information but also developing the ability to analyze, evaluate, and draw conclusions from various historical sources. Technology supports the creation of more engaging learning experiences, such as the use of multimedia, simulations, and other digital resources. Furthermore, teachers play a role as facilitators, helping students build historical awareness, guiding them in seeking information, and developing critical thinking skills. However, the implementation of this learning model faces various challenges, such as limited technological infrastructure and a lack of teacher training. Therefore, efforts are needed to strengthen teacher competencies and adapt the curriculum to be more adaptive to changing times.

Parenting communication literacy is a fundamental competence that influences children’s growth in cognitive, emotional, and social domains. Initial findings at Posyandu Teratai, South Tangerang, revealed that many mothers still relied on authoritarian and less dialogical communication, which limited children’s confidence and engagement. In response, the Community Service (PKM) team of Universitas Pamulang implemented a program entitled Optimizing Parenting Communication Literacy through Digital Media. The activities were designed using participatory strategies such as lectures, interactive group discussions, simulation exercises, and the dissemination of digital learning materials in the form of modules and videos. The program outcomes demonstrated considerable improvement in mothers’ knowledge and attitudes toward positive communication practices, including the ability to listen actively, provide encouragement, and employ digital platforms as continuous learning resources. Furthermore, the integration of digital tools enabled mothers to access and exchange information beyond formal training sessions. The broader impact of the program was the establishment of a collaborative learning community at Posyandu, which not only supported families in applying positive parenting approaches but also reinforced community-level awareness of effective communication in child-rearing.

This study examines the collaboration between the Regional Disaster Management Agency (BPBD) and community organizations, specifically the Forum for Disaster Risk Reduction (FPRB), in implementing community-based disaster mitigation policies in Tamanayu Village, Lumajang. Using a qualitative case study approach, the research explores the dynamics, processes, challenges, and successes of collaborative efforts in disaster risk reduction (DRR) at the local level. The analysis highlights the significance of participatory strategies, local knowledge, and community empowerment in enhancing disaster preparedness and resilience. The involvement of multiple stakeholders—including government, community members, academia, private sector, and media—underpins the practice of the Pentahelix concept, fostering an integrated approach to disaster mitigation. The findings reveal that effective collaboration depends heavily on mutual trust, shared understanding, and a robust institutional framework that embeds disaster mitigation within the social fabric of the community. Challenges identified include coordination issues, limited resources, bureaucratic barriers, and disparities in perception and capacity among stakeholders. Despite these obstacles, the community's proactive measures, such as self-organized simulations and local resource utilization, demonstrate increasing resilience and capacity. The study underscores the importance of strengthening local institutional support, continuous capacity building, and the integration of indigenous knowledge to ensure the sustainability of disaster mitigation efforts. Furthermore, strategic alignment and synchronization between BPBD's top-down policies and bottom-up community initiatives are crucial for effective implementation. The research provides valuable insights into how participatory governance and community empowerment can lead to more resilient societies capable of adapting to evolving risks, including climate-change impacts.

Slope stability is a key concern in open-pit mining due to its impact on safety and operational efficiency. Mine X, located in Kalimantan Island, faces landslide risks on its high wall slopes. This study aims to model slope stability and determine safe and economical slope geometry. The analysis was performed using the Limit Equilibrium Method (Bishop Simplified), both analytically and numerically, through Slide 6.0 software by Rockscience Inc. Input data were obtained from five geotechnical investigation points provided by PT.X, including cohesion, internal friction angle, and saturated unit weight. Two lithologies were analyzed—claystone and sandstone—with slope height variations (5 m, 10 m, 15 m) and angles (26°, 45°, 51°, 59°), under dry and saturated conditions. Simulation results show that the factor of safety (SF) decreases with increasing slope height and angle, especially under saturated conditions. Sandstone demonstrates better stability than claystone. The recommended optimal slope geometry is 10 meters in height with a 59° angle, yielding a SF ≥ 1.25 and aligning with the PC-400 excavator's cutting capability. This study provides a technical reference for designing safe slopes that support mining productivity.

This study aims to systematically review various studies that discuss the role of entrepreneurship education in developing students’ entrepreneurial spirit at the Senior High School (SMA) and Vocational High School (SMK) levels. The method used is the Systematic Literature Review (SLR), guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The reviewed articles cover publications from 2019 to 2025. Based on the selection of 20 scientific articles, the findings indicate that entrepreneurship education plays an important role in enhancing students’ creativity, innovation, self-confidence, and independence. The most effective learning strategies include project-based learning, business simulations, and collaboration with the industrial sector. In addition, teachers play a crucial role as facilitators in fostering an entrepreneurial mindset. The challenges identified include limited resources, insufficient teacher training, and suboptimal school policy support. Overall, entrepreneurship education has been proven to make a significant contribution to shaping entrepreneurial character and preparing students to face the challenges of the workforce.