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The automotive industry requires fast and accurate sales services, particularly in vehicle credit simulation processes. At Mazda dealerships, credit simulations are still commonly conducted using conventional tools such as printed installment tables or static PDF documents, which often cause delays and calculation errors. This study aims to design and develop a mobile-based vehicle credit simulation application using the Human-Centered Design (HCD) approach and the Flutter framework. The HCD method was implemented through the inspiration, ideation, and implementation stages to ensure that the application meets the real needs of Mazda sales representatives. The application supports flexible credit calculations based on vehicle on-the-road price, down payment, loan tenor, interest rate, and insurance schemes, including All Risk and combination insurance. Usability testing results show that the proposed application significantly improves calculation speed, accuracy, and overall user experience compared to conventional methods. Therefore, the application effectively supports sales performance, minimizes human error, and enhances professionalism in automotive sales services.

This study aims to analyze the temperature distribution in an LPG-fueled chili drying machine using Computational Fluid Dynamics (CFD) simulation. The simulation was performed using SolidWorks Flow Simulation 2022 to investigate the effect of inlet air temperature and velocity on temperature uniformity inside the drying chamber. Three inlet temperature variations were applied: 60°C, 70°C, and 80°C, combined with two air velocities of 10 m/s and 11 m/s. The results showed that these parameters significantly influence temperature distribution. The optimum condition was achieved at 70°C and 10 m/s with a temperature uniformity efficiency (

This study aims to analyze the temperature distribution in an LPG-fueled chili drying machine using Computational Fluid Dynamics (CFD) simulation. The simulation was performed using SolidWorks Flow Simulation 2022 to investigate the effect of inlet air temperature and velocity on temperature uniformity inside the drying chamber. Three inlet temperature variations were applied: 60°C, 70°C, and 80°C, combined with two air velocities of 10 m/s and 11 m/s. The results showed that these parameters significantly influence temperature distribution. The optimum condition was achieved at 70°C and 10 m/s with a temperature uniformity efficiency (

Senior high school students represent a strategic age group transitioning into adulthood and are expected to become future leaders of the nation. In the context of achieving Indonesia’s Vision 2045, threats to national resilience are no longer dominated by military aggression, but rather by non-military challenges in the form of cognitive warfare. One prominent manifestation of this threat is the massive exposure of students to low-value digital content, commonly referred to as brain rot, on social media platforms. Such content has the potential to reduce attention span, critical thinking ability, and national awareness among adolescents. Consequently, senior high school students have become a vulnerable group in the spread of misinformation, disinformation, and ideologies that contradict Pancasila values. This community service activity aims to provide training and strengthen national defense character (bela negara) among senior high school students in Jakarta through an educational and participatory approach. The methods employed include the delivery of conceptual materials on national defense awareness and digital literacy, as well as national defense debate simulations designed to enhance students’ critical, argumentative, and ethical thinking skills. The results indicate an improvement in participants’ understanding of national defense values and their ability to express logical and responsible arguments. This activity is expected to contribute to the development of a resilient, critical, and nationally-minded young generation capable of facing contemporary challenges in the digital era.

Choking is a dangerous thing for children, especially children with special needs who require proper handling, and parents as the closest people to the child must have first aid skills for choking. The purpose of this study is to determine the effect of ANSIVI (Animation and Simulation Video) Choking Management on parents' ability in first aid for choking. The research design was a pre-experimental design with a one-group pretest-posttest approach without control. The purposive sampling technique obtained 36 respondents. The research instrument used an observation sheet for first aid for choking. The statistical test was the Wilcoxon Signed Rank Test with α 0.05. The results of the study before being given the ANSIVI (Animation and Simulation Video) Choking Management intervention showed that all (100%) respondents had insufficient ability, and after the intervention the majority (52.8%) of respondents had sufficient ability. The results of the statistical analysis obtained a p-value of 0.013 < α 0.05, so there is an effect of ANSIVI (Animation and Simulation Video) choking management on parents' ability in first aid for choking. The ANSIVI method (Video Animation and Simulation) combines two methods so that it is more interesting, interactive, and effective because the video is captured by the eyes and ears and then will be detected and converted into signals to the optic nerve and auditory nerve and forwarded to the brain, program area, and frontal area to be associated so that it will affect the respondent's ability. The ANSIVI method can be used in education for all parents and school residents as a first aid effort for choking, especially for children with special needs.

The readiness of graduates to face the world of work is a crucial challenge amidst the increasingly competitive job market. This community service activity aims to improve student job readiness through job readiness training and strengthening soft skills. The methods used include needs analysis, CV preparation training, job interview simulations, strengthening soft skills, and pre- and post-training evaluations. The results of the activity show a significant increase in students' understanding of the world of work, self-confidence, and readiness to face the recruitment process. This activity is expected to become a model of sustainable service in increasing the competitiveness of graduates, by providing relevant and applicable provisions to face the challenges of the ever-evolving world of work. Strengthening soft skills is also expected to be a determining factor in students' success when entering the world of work. The sustainability of this program is expected to have a long-term positive impact on the development of graduates' competencies in various fields of work. In the future, the sustainability of this program is expected to have a long-term positive impact on graduates' competencies, strengthen their position in the job market, and support the development of skills needed in various fields of work that continue to evolve.

Edge-Internet of Things (Edge IoT) systems are increasingly integral to applications that require real time signal processing, particularly where low latency and energy efficiency are critical. This paper explores the design and performance evaluation of a heterogeneous microprocessor architecture aimed at optimizing energy consumption and real time performance. The heterogeneous architecture integrates multiple types of cores, such as Central Processing Units (CPUs), Digital Signal Processors (DSPs), and Graphics Processing Units (GPUs), to allocate tasks based on computational demand. The proposed design significantly reduces energy consumption, particularly during high-performance tasks, while maintaining real time processing guarantees. Simulation-based performance evaluation was conducted to assess the energy efficiency, latency, and overall system performance under varying workloads, including real time Digital Signal Processing (DSP) benchmarks. The results showed that the heterogeneous architecture outperformed traditional homogeneous processors, demonstrating up to a 19-fold improvement in energy efficiency. Furthermore, the system reduced latency by up to 45% in real time applications, making it particularly suitable for Edge IoT environments such as industrial automation and smart healthcare, where both performance and energy efficiency are critical. Despite some trade-offs in task scheduling complexity, the heterogeneous design was able to balance power consumption and computational performance effectively. The findings suggest that this architecture can serve as a foundation for future Edge IoT systems, providing significant advantages in terms of energy efficiency, real time processing, and scalability. Future work will focus on further optimization of the architecture and exploring its application across various IoT environments.

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.

The world of education must actively participate in preparing a creative, innovative, and competitive generation in response to advances in technology and science. Schools, as formal educational institutions, have a great responsibility to improve students' entrepreneurial skills by adding innovative product development theory to the learning process. Amidst increasingly fierce competition, product innovation is essential to create added value and maintain the sustainability of managed businesses. Entrepreneurship also plays an important role in driving social change and economic growth. Students are also encouraged to learn to be more creative, take initiative, and dare to take risks if they are given the facilities to develop their entrepreneurial spirit at school. Practical learning, training in innovative product creation, and business management simulations help students understand and apply entrepreneurial principles efficiently. Schools are expected to be a sustainable place for developing students' entrepreneurial character through targeted outreach and instruction. This method not only improves students' knowledge and skills, but also builds independence and innovation, which can help students prepare for the world of work, business, and industry. The goal is to foster an entrepreneurial culture focused on developing personal potential, thereby producing independent, adaptive, highly competitive graduates who are ready to face global challenges.

Micro-entrepreneurs, particularly small grocery shop owners, commonly encounter challenges in managing business finances and implementing effective marketing strategies. Limited skills in financial recordkeeping often make it difficult for business owners to accurately monitor cash flow and assess their financial condition, which may lead to suboptimal business decisions. In addition, the utilization of digital technology as a marketing tool remains limited, thereby restricting opportunities for market expansion. This community service program aims to strengthen the capacity of micro-enterprises in applying practical basic financial management and optimizing digital platforms for product promotion. The program also seeks to increase awareness of the importance of structured financial management as a foundation for sustainable business development. The activities were conducted through several stages, including the delivery of material on the significance of financial recording, hands-on training sessions, mentoring in preparing simple financial records, and digital marketing simulations using WhatsApp Business and various social media platforms. The results indicate an improvement in participants’ understanding and skills in recording income and expenses, managing business capital more systematically, and utilizing digital features to support promotional activities. Furthermore, participants demonstrated a more positive attitude toward the adoption of technology in their daily business operations. Overall, this program is expected to enhance financial independence, support sustainable business growth, and expand the marketing reach of micro-enterprises

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.

The increasing sophistication of cyber threats has rendered traditional cybersecurity models insufficient in safeguarding enterprise networks. This study introduces a risk aware cybersecurity governance model that integrates real time threat intelligence with predictive anomaly detection to proactively mitigate potential threats. By leveraging advanced machine learning and AI techniques, the model enhances the ability to identify and address cyber threats before they can escalate into significant incidents. The model’s ability to predict anomalies, analyze real time threat intelligence feeds, and provide early warnings allows for faster response times and reduced risk exposure compared to traditional reactive models. Through simulations and real-world use cases, the proposed model demonstrated a 30% reduction in response time and a 25% decrease in overall risk exposure, showing its potential to improve security decision-making and resilience in dynamic threat environments. Unlike traditional models that rely on static rules and periodic policies, the proposed model uses predictive analytics to stay ahead of evolving threats, ensuring continuous monitoring and rapid adaptation. This proactive approach enhances organizational resilience, particularly in handling sophisticated cyber threats such as ransomware, malware, and phishing attacks. Despite its effectiveness, challenges such as data overload, scalability, and the need for interpretability in AI models remain. Future research will focus on refining predictive models, improving scalability for larger networks, and enhancing the explainability of machine learning models to foster greater trust in automated cybersecurity systems. This study contributes to the ongoing evolution of cybersecurity governance by demonstrating the value of integrating predictive and real time monitoring technologies for enhanced threat detection and mitigation.

Technology-based learning media have now become a primary choice in supporting the learning process in elementary schools, in line with the development of the digital era and the growing demand for more innovative learning approaches. The utilization of technology in education is expected to enhance the quality of teaching and learning processes and encourage active student engagement. One technology-based learning medium considered effective and engaging is BrainPOP, a digital learning platform that presents educational content through interactive animated videos, quizzes, simulations, and various supporting activities designed to suit the characteristics of elementary school students. The selection of BrainPOP is based on its advantages in increasing students’ learning interest, facilitating the understanding of abstract concepts by making them more concrete, and enhancing students’ motivation and retention of learning materials. The visual, communicative, and interactive presentation of content enables students to learn in a more enjoyable and less monotonous manner. This medium is capable of creating an engaging, effective, and student-centered learning atmosphere, thereby fostering an active, creative, and enjoyable learning environment. Therefore, the use of BrainPOP in the learning process is expected not only to improve students’ learning outcomes but also to optimally and sustainably develop their interest, motivation, and engagement in learning.

Derivatives of substituted oxazol-5-one (1–3) and substituted oxazolo-isoxazole (4–6) were successfully synthesized through a multi-step reaction process. Initially, glycine was reacted with acetic anhydride to produce acetyl glycine as a key intermediate. This intermediate subsequently underwent a condensation reaction with various substituted benzaldehydes, leading to the formation of oxazol-5-one derivatives (1–3). In the final synthetic step, these oxazol-5-one derivatives were reacted with hydroxylamine hydrochloride to yield the corresponding oxazolo-isoxazole compounds (4–6). The chemical structures of all synthesized compounds were characterized and confirmed using Fourier Transform Infrared (FT-IR) spectroscopy and proton nuclear magnetic resonance (¹H NMR) spectroscopy. Furthermore, molecular docking studies were carried out to evaluate the potential biological interactions of the prepared compounds. Docking simulations were performed using PyRx software, while visualization and interaction analysis were conducted employing PyMOL and Discovery Studio. The combined experimental and computational approaches provide valuable insights into the structural properties and potential biological relevance of the synthesized compounds.

This study aims to analyze the implementation of affective learning strategies in Akidah Akhlak subjects to enhance students' self-control at MTs Muhammadiyah 02 Purbalingga. Affective learning strategies focus on character development through the inculcation of religious values such as patience, honesty, and discipline, aimed at helping students manage their emotions, thoughts, and behavior in daily life. The research employed a qualitative method with a descriptive approach. Data were obtained through in-depth interviews with Akidah Akhlak teachers, the principal, and students, as well as classroom observation. Data analysis was conducted using thematic coding to identify patterns in the implementation of affective learning strategies and their impact on students' self-control. The findings indicate that the implementation of affective learning strategies is carried out through five main stages: receiving, responding, valuing, organization, and characterization. Each stage involves structured approaches, such as using inspirational stories from the Qur'an and Hadith, group discussions, value reflections, and case study simulations. These strategies successfully enhanced students' self-control, particularly in emotional regulation, wise decision-making, and consistent behavior aligned with Islamic values. This study concludes that affective learning strategies play a vital role in improving students' self-control. Systematic and collaborative implementation can assist madrasahs in producing a generation that is faithful, knowledgeable, and morally upright, in line with the vision of Islam.

This community service program aims to strengthen the managerial capacity of red lemongrass farmers in AMKE Oro-Oro Ombo, Batu, East Java, through training on cash bookkeeping, income analysis, and farming feasibility evaluation. The main problems faced by farmers are limited knowledge of financial management, lack of systematic bookkeeping, and inability to evaluate the profitability of their businesses, which often results in inaccurate decision-making and low competitiveness. The method applied included participatory training, mentoring, and simulation of financial records and feasibility analysis. The results of the program demonstrate that participants gained a better understanding of the importance of structured financial recording. Farmers who previously relied only on sales revenue calculations without considering fixed and variable costs are now able to prepare cash books, identify expenses, and evaluate profit margins accurately. Cash bookkeeping has proven to improve financial transparency and accountability, while income analysis has equipped farmers with the skills to assess their business sustainability. The feasibility evaluation, using indicators such as R/C and B/C ratios, showed that red lemongrass farming is profitable but still requires efficiency improvements to increase long-term sustainability. Overall, this training has enhanced farmers’ managerial skills, encouraged independent decision-making, and strengthened their capacity to face price fluctuations and market competition. The program is expected to support the continuity and competitiveness of red lemongrass agribusiness in AMKE Oro-Oro Ombo

The Muhammadiyah Orphanage in Pamekasan faces major challenges in developing life skills and digital education for its children due to limited facilities, teaching staff, and conventional learning methods. To address these issues, an edutainment-based approach and digital pedagogy intervention were implemented to enhance learning quality, motivation, and preparedness for future social and technological challenges. The activities included workshops and training on Digital Pedagogy and Edutainment learning materials, as well as simulations and role-plays using a Game-Based Learning approach, followed by evaluations and participant plan presentations. The program significantly improved the wards’ digital literacy, particularly in personal security (online safety), digital ethics (cyber ethics), gadget usage, and information management, with the average score rising from 2.84 to 4.10 on a 5-point scale, surpassing the target of 75% of participants in the “good” category. Beyond cognitive aspects, the program also boosted motivation, engagement, communication, problem-solving, and independence. Caregiver training was also provided to ensure program sustainability. It is recommended that the orphanage integrate the Game-Based Learning Digital Safety module into its non-formal curriculum, enhance caregiver capacity through advanced training, and improve IT infrastructure.

The increasing use of electronic devices, specifically gadgets, among elementary school children has caused various problems, such as addiction, decreased social interaction, health problems, and decreased concentration in learning. These problems involve not only children but also objects and things around them, as well as parents in managing them. Gadget use is not just a matter of quantity that exacerbates this condition. As a solution, the community service team held a socialization focused on improving healthy digital literacy through counseling, interactive discussions, and practical simulations. Results achieved included increased knowledge about the risks of excessive gadget use, increased collective awareness in limiting usage time, and the formation of practical guidelines for healthy gadget use in school and family environments. The results of the activity were documented in the form of a scientific article published in the community service journal as an academic contribution. Overall, the activity has gone according to plan in terms of planning, implementation, and partner involvement. Active participation of participants was evident in the enthusiasm in the discussions and the school's commitment to continuously monitoring gadget use. Thus, this program is expected to have a long-term positive impact in shaping wise behavior in using technology among elementary school children.

This study analyzes efforts to develop and foster the Indonesian language through the use of standard and nonstandard words at MTS Bahlul Ulum. The increasing use of nonstandard words among students, influenced by social media and cross-regional interactions, has led to a decline in the awareness of using standard language in academic contexts. A descriptive qualitative approach was used with teachers and students of Class VII H at MTS Bahlul Ulum during the first semester of the 2025/2026 academic year. Data were collected through observation, interviews, and documentation of Student Worksheet (LKPD) results containing 50 questions on standard and nonstandard words. The findings showed that before the language development program, students had an average score of 62.4 in understanding standard and nonstandard words, with errors in commonly used informal words like vidio (standard: video) and antri (standard: antre). After the program, which included class discussions, conversation simulations, and interactive worksheets, the average score increased to 78.6, with 82% of students scoring above 78. The error rate decreased from 45% to 18%, indicating that interactive and contextual language development is effective. Continuous training and curriculum integration are essential to strengthening the use of standard language in the digital era.

This community service activity was implemented at SDN 3 Tangkiling to cultivate an entrepreneurial mindset among elementary school students by integrating financial literacy and exploring creative professions. The program emphasized enhancing students' comprehension of fundamental financial principles through socialization activities and rudimentary buying and selling simulations using play money. The “Mini Shop” activity was implemented to facilitate students' learning about the value of money, the distinction between needs and wants, and the importance of saving. This activity was designed using an active and contextual learning approach, which aligns with the characteristics of elementary school students and the principles of the Merdeka Curriculum, emphasizing character building, independence, and creativity. Additionally, the exploration of creative professions was undertaken through the implementation of role-playing and interactive discussions, thereby introducing a variety of occupations and cultivating an interest in entrepreneurship from an early age. The outcomes of the activity indicated that students exhibited increased enthusiasm and comprehension of fundamental financial concepts and demonstrated an interest in elementary entrepreneurial activities. It is anticipated that this program will evolve into an inspirational learning model for instilling financial literacy and entrepreneurial spirit at the elementary school level.