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Conventional power plants that exist today can cause environmental damage, such as air pollution and the erosion of fossil reserves. Therefore, humans continue to innovate to develop environmentally friendly power plants. One of them is the combined wind turbine and solar cell technology to create a more effective solution called a Hybrid power plant. This research proposes a VAWT Helix Turbine Design for Microhybrid Power Plant. The design is according to the wind speed and solar radiation for the Madiun city area. BMKG data shows that the average wind speed is 3 m/s to 7 m/s. Meanwhile, the sun's heat is on average 25°C to 36°C. The wind turbine uses 3 blades of helix type and the solar cell used is Monocrystalline. The design was designed using the AutoCAD program and simulated using Qblade software. The blades are made using 3D Printing Polylactic Acid (PLA) and then printed using a 3D Printer. Simulation results using Qblade show the average value when the wind speed is 3 m/s produces an average power within 11.4 Watt. When the wind speed is 4 m/s, the average power is 33.7 Watt. When the wind speed of 5 m/s produces an average power of 80.2 watts.

Understanding professional ethics in the workplace is a crucial aspect for students in Vocational High Schools (SMK) to prepare themselves for entering the workforce. This ethics is not only related to technical skills but also encompasses attitudes, behavior, and the ability to interact professionally. One of the most critical aspects is interview etiquette, as a student’s success is often determined by how they behave and communicate during the interview. An interview is not just about answering questions, but also an opportunity to present a positive self-image. Therefore, students need to understand how to use appropriate body language, manage facial expressions, and answer questions confidently. To address this need, the community service team from the D-III English Language Study Program at Politeknik Negeri Madiun conducted an interview etiquette training at SMK Widjaya Ngoro, Jombang. The training was delivered through interactive discussions and hands-on practice. In the discussion session, students learned preparation strategies, interview etiquette, and follow-up actions after the interview. Furthermore, through simulations, students were able to practice communication skills, improve their attitudes, and build confidence. This activity proved to be beneficial as it enriched knowledge and provided practical experience that is relevant for facing job selection processes in the future.

This study explores the integration of Augmented Reality (AR) simulations in middle school science education, focusing on improving students’ conceptual understanding of complex topics such as metamorphosis. The research adopts an experimental design with a treatment group using AR simulations and a control group utilizing traditional teaching methods. The study aims to determine the effectiveness of AR in enhancing students' engagement, motivation, and understanding, as well as to evaluate the perceptions of both students and teachers regarding its use in the classroom. Data is collected through pre-tests and post-tests to measure conceptual understanding, along with perception questionnaires to gather feedback on the AR learning experience. The results of this study are expected to reveal that students in the AR treatment group will demonstrate greater improvements in their conceptual understanding compared to those in the control group. Additionally, it is anticipated that both students and teachers will report positive feedback on the use of AR, citing its interactive and immersive nature as a key factor in boosting motivation and engagement. The study also addresses challenges such as access to technology, cost, and the need for teacher training in effectively integrating AR into the curriculum. The findings suggest that AR can significantly enhance science learning outcomes, making complex concepts more accessible and engaging. The study concludes with recommendations for schools to adopt AR technology, ensure teacher training, and invest in the necessary resources to support AR integration in the classroom. By doing so, AR can play a pivotal role in improving middle school science education.

The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and even quantum platforms. Recent studies demonstrate that optimized algorithms can reduce computation time by more than 50% while maintaining high accuracy in solving high-dimensional problems. LU decomposition, particularly in its parallel and GPU-based implementations, has shown superior performance in batch processing and industrial-scale simulations. Meanwhile, iterative methods such as Jacobi and Gauss–Seidel remain relevant due to their flexibility in numerical modeling, with further developments for block matrix systems, finite element applications, and FPGA architectures. The integration of these enhanced algorithms is not only beneficial for the advancement of scientific software development but also supports practical applications in engineering simulations, large-scale data optimization, and machine learning. Therefore, an integrative review of modern numerical algorithm developments is crucial in bridging the gap between industrial demands and research progress in scientific computing.

Renewable energy systems, particularly those incorporating solar and wind power, are prone to stability issues due to the intermittent and fluctuating nature of these energy sources. This paper investigates several nonlinear control techniques—namely, adaptive control, sliding mode control, and fuzzy logic control—that are designed to improve stability in renewable energy systems. Through simulations, we demonstrate how these methods can effectively reduce fluctuations and maintain stable energy output, offering a robust approach to enhancing the reliability of renewable energy systems.

Rapid urbanization in major cities has led to the decreasing availability of green spaces, exacerbating urban challenges such as the Urban Heat Island (UHI) effect, high energy consumption in buildings, and air pollution. In response, green architecture innovations like green roofs and vertical farming present opportunities for reducing carbon footprints and improving urban sustainability. This study explores the potential for life-cycle carbon footprint reduction through the integration of green roofs and vertical farming systems in high-rise buildings, focusing on energy savings, environmental impact, and air quality improvements. Using Life-Cycle Assessment (LCA) methodology, the research evaluates carbon emissions reduction, operational energy savings, and ecosystem benefits from different building scenarios. Simulation models were developed for conventional high-rise buildings and those incorporating green roofs and vertical farming. EnergyPlus, SketchUp, and SimaPro software were used for energy consumption calculations and carbon emissions modeling. The study analyzes various intervention scenarios-baseline (no vegetation), green roof only, vertical farming only, and a combined system-based on tropical climate data from cities like Jakarta, Surabaya, and Kuala Lumpur. Results reveal that the integration of both green technologies significantly reduces cooling demand, lowers CO₂ emissions, and improves urban microclimates by reducing surface temperatures and enhancing air quality. Policy recommendations and guidelines for adopting green construction practices in tropical regions are provided, alongside suggestions for future research on optimizing these technologies, conducting economic modeling, and evaluating multi-building approaches at a district scale.

The public speaking and leadership workshop conducted for SDI 1 Loang students aims to enhance literacy and social skills, particularly in public speaking and leadership. The choice of this topic is highly relevant, as public speaking and leadership skills are crucial elements for personal and social development in today's global era. The community service method used included a participatory approach with interactive activities such as group discussions, simulations, and practical exercises designed to stimulate active student participation. The results of this workshop showed a significant improvement in students' communication skills, confidence, leadership abilities, and teamwork capabilities. This positive impact indicates that students are not only more confident in public speaking but also better at taking initiative in group situations. In conclusion, the training successfully enhanced students' competencies in public speaking and leadership. However, continuous support from schools and communities is essential to further facilitate the development of these skills, ensuring students are well-prepared to face future challenges.

Background: Stunting in toddlers can have an impact on children's health and intelligence in the future, such as the body's resistance to infections or viruses and decreased academic performance. Objective: to train posyandu cadres in improving anthropometric measurement skills in toddlers. Method: The method used in this activity is providing materials, training and simulation of anthropometric measurements. The targets for this activity are posyandu cadres from RW 03, Pulo Gebang Village. This community service activity will be carried out in August 2024 at the RW 03 hall, Pulo Gebang Village. Results: the implementation of this community service resulted in an increase in posyandu cadres' understanding of stunting and anthropometric measurement methods with good understanding from 2% to 76%. Cadres with sufficient understanding are 24%. Conclusion: Improving the skills of posyandu and KIE cadres regarding stunting can improve stunting prevention efforts.

The Digital Marketing 6.0 Training Program at SMA Perguruan Buddhi Dharma Tangerang was implemented to improve students' digital literacy and marketing skills in the era of digital transformation. The underlying problem of this training is the low level of students' understanding of technology-based marketing, which is an essential skill in the modern world of work and entrepreneurship. The purpose of this activity is to equip students with an understanding of the concept of digital marketing 6.0, technical skills in using digital tools, and skills in developing data-based marketing strategies. The methods used include the Community-Based Action Planning approach involving students, teachers, and community service teams, as well as experiential learning through simulations and direct practice.The results of the training showed a 40% increase in students' understanding of the concept of digital marketing as well as the ability to use digital tools and develop effective marketing strategies. In addition, this training gave rise to local leaders among students and created new awareness in the school community about the importance of technology integration in education. The collaboration between SMA Perguruan Buddhi Dharma and Universitas Buddhi Dharma also created a more inclusive and sustainable learning ecosystem. This training is expected to be a model for developing digital literacy for other schools in facing the challenges of the digital era.

Solar Power Plant is a photovoltaic system to convert electromagnetic energy from sunlight into electrical energy. This solar power plant is one of the recommended solutions for fulfilling electricity needs in remote rural areas where the PLN electricity network does not enter and has abundant sunlight and fuel is difficult to obtain. Based on data from the Global Solar Atlas, Lembung Mangrove Ecotourism, Galis, Pamekasan Regency has a sunlight potential of 4,603 kWh/m² per day. Therefore, it is unfortunate if this potential is not optimally utilised to build an off-grid solar power plant. The purpose of the research is to assess the feasibility of installing PLTS in Lembung Mangrove Ecotourism in terms of technical, economic, and investment feasibility analysis. From the research results, to meet the electricity demand of 15,055 kWh, it needs 12 200 Wp PV modules assembled in 6 series 2 parallel, 8 12V 200Ah batteries with 4 series 2 parallel, and 1 3 kW hybrid inverter are needed. From the simulation results, the estimated energy that can be produced is 35 kWh with a performance of the system is 61.42%. In terms of investment, the initial capital required is Rp89,954,000 so that the NPV value is obtained at Rp1,725,979, PI is 1.01, and PBP is estimated to fall in year 22 month 11.

The general public, including children in schools, has to be trained in Basic Life Support (BLS). The advancement of communication and information technologies has created new avenues for the delivery of important skills training, including Basic Life Support (BLS).  The goal of this community service is to use blended learning to improve students' knowledge and abilities in doing BHD. Online and offline learning are combined to execute this training-based approach to community service. While the offline component consists of practice exercises and simulations, the online component features instructional videos and other materials. The participants were 35 SMK K students in Nganjuk City. Student knowledge is measured using pre-test and post-test. The results showed a significant increase in post-test scores compared to the pre-test, with the average score increasing from 74.14 to 85.551. Students' skills in carrying out BHD also increase after participating in simulations and practice. The blended learning method has proven to be effective in increasing students' understanding and ability to perform BHD. It is hoped that this training can prepare students as potential bystanders who are able to provide first aid in cases of cardiac arrest in the community.

Poisoning by chemicals is a major public health issue that is frequently disregarded. Many people are yearly exposed to hazardous materials at home, at work, and when participating in outdoor activities. This exposure can happen by ingesting, skin contact, or inhalation. It can have a range of health effects, from minor ailments to serious illnesses.  This community service project aims to implement a first aid education plan for chemical poisoning in schools using simulation techniques.  The implementation method in this activity is a simulation, participants are taught practically how to handle poisoning situations, including recognizing symptoms, taking initial action, and knowing when to contact emergency services with a total of 25 partners from SMK Y Kediri Regency. The post-test findings indicated that participants' knowledge of chemical poisoning first aid had significantly increased. Most participants demonstrated a higher level of mastery of the necessary concepts and activities by answering nearly all questions correctly. Students that participate in this program get practical skills in addition to information. It is anticipated that this will lessen the possibility and effects of chemical poisoning while also enhancing community preparedness for emergencies.

This community service aims to improve the competence of Human Resources (HR) in the field of social welfare through counseling on the use of information technology. In the digital era, information technology has an important role in improving the effectiveness and efficiency of social services, but there are still many social welfare actors who have not optimally used it. This activity is carried out through counseling which includes the introduction of various digital applications and platforms that can be used to facilitate social work, such as data management, communication, and information dissemination. The counseling method is carried out through presentations, interactive discussions, and simulations of the use of relevant technology. The ultimate goal of this program is to improve HR skills in utilizing information technology appropriately, so that it can support the improvement of the quality of social services that are faster, more accurate, and more equitable. Thus, this program is expected to be able to provide a positive impact in improving the quality of technology-based social welfare services.

This study aims to solve the population dynamics model using the Euler method, where the model is a nonlinear differential equation. The research methods used are literature study and simulation methods. In theory, the Euler Method is a numerical method that is often used in solving initial value problems. The Euler method is obtained by decomposing a function into a Taylor series up to two initial terms. This method has an accuracy of one.

This study examines the implementation of the fourth-order Runge-Kutta method in simulating bullet trajectories in the Earth's gravitational field. Bullet trajectory simulation is important in various fields such as ballistics and engineering, where the accuracy of predicting the trajectory of a moving object is crucial. The introduction explains the importance of using numerical methods in solving complex equations of motion, considering that analytical solutions are often inadequate. The purpose of this study is to apply the Runge-Kutta method to solve nonlinear differential equations describing the motion of a bullet under the influence of gravity. The research methods include modeling the motion system using Newton's laws and applying the Runge-Kutta method to predict the trajectory based on initial conditions such as velocity and firing angle. The simulation results show that the Runge-Kutta method provides accurate predictions of bullet trajectories, with low relative errors compared to other numerical methods. In conclusion, this method is effective and efficient in simulating bullet trajectories, providing reliable results in practical applications.

One of the most crucial subjects in the analysis of statistical models  is the identification of important variables. Therefore, the search for best variable selection methods is a good in obtaining best estimators. The Lasso method is considered the most effective approach for variable selection and parameter estimation in building statistical models with high explanatory power in representing the studied phenomenon. Therefore, using the Lasso method to estimate the parameters of a regression model that contains a dependent variable with data that is censored at zero can be achieved through the use of    Lasso tobit principal component regression, it has attractive properties in estimating the parameters of this model. The our proposed method is illustrated via simulation scenario and a new real data .

In this paper, Spline techniques have become prominent lately due to their effectiveness in addressing singular perturbation boundary value problems. These issues, defined by a boundary layer or a minor parameter associated with a derivative term, pose difficulties due to swift fluctuations in solutions adjacent to the boundary. Solutions to singularly perturbed involving both positive and negative changes in a spatial variable are shown in this review article. The methods presented here are algorithmic in nature. The singular perturbation that arises in neural activity simulation and the approaches proposed by numerous investigators between 2004 and 2024 are the only ones covered in this review. A variety of types of singularly perturbed were reviewed, including ordinary delay differential . Discovering what numerical and analytical strategies have been created in the past decade to address these types of issues is the primary objective of this review. Its secondary objective is to encourage academics to come up with novel, strong approaches to resolving related issues.

This outreach program aims to increase financial literacy among Generation Z students at Satrya Budi Trade Vocational School through the introduction of simple financial reports and entrepreneurship. In the digital era which is characterized by easy access to information, understanding personal financial management and entrepreneurship is very important. This activity involves interactive presentations, financial recording simulations, and group discussions to provide hands-on experience to students. The evaluation results showed an increase in students' understanding of financial and entrepreneurship concepts, with participants being successful in answering evaluation questions well. With this program, it is hoped that students can develop the skills needed to manage finances and start a business in the future.

IEEE 802.11ax WiFi 6 is the current standard for wireless local area network (WLAN) technology which is a development of the previous standard, namely IEEE 802.11ac (WiFi 5). WiFi 6 has new features that are superior to WiFi 5. For example, it can operate in the 6 GHz frequency band, use 1024-QAM modulation, and use a maximum of 8 spatial streams. In general, to test and verify the implementation of a network technology standard, researchers can buy hardware on the market that has implemented the standard in its entirety or only certain mandatory features. Apart from using hardware directly, testing can also be done using software simulations. This research aims to study the WiFi model in the ns-3 simulator and simulate the IEEE 802.11ax WiFi 6 network. The simulation is carried out to measure the uplink throughput that can be achieved by WiFi 6 with various numbers of client stations (STA) and various distances between the Access Point (AP) and STA. The simulation results show that the throughput value will decrease with increasing AP-STA distance and the number of STA. The maximum throughput value obtained in the simulation with 5 STA at a distance of 2 meters from the AP is 655.41 Mbps.

This research studies the application of the nth order Runge-kutta method as a numerical solution to ordinary differential equations. This method was chosen because it is able to provide high accuracy and flexibility in various PDB problems. We implement the nth-order Runge-Kutta algorithm in MATLAB and compare with other numerical methods, such as Euler's method. The results show that the nth order Runge-Kutta method is able to produce more accurate solutions, especially for nonlinear systems. This research makes a significant contribution to the development of numerical solutions for PDB and shows the potential of MATLAB as an effective tool for numerical simulation. Sensitivity analyzes of parameters and time steps were also performed to understand the impact of variations on stability and convergence.