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This study explores the role of contact investigation (CI) in detecting suspected tuberculosis (TB) cases in Babussalam District, Southeast Aceh Regency, in 2023. The focus is on empowering health cadres through simulation, practice, and mentoring in TB case investigation. A total of 20 health cadres were trained to conduct the investigation, resulting in tracing of 5 index cases, 57 households, and 217 individuals. Activities included case assessment, home visits, TB screening, education, mentoring, monitoring, and reporting. Recommendations encompass the application of knowledge and skills acquired by health cadres in TB management, while maintaining close coordination with local health centers and government authorities.

This study presents an advanced structural health monitoring (SHM) system for steel bridges based on wireless sensor networks (WSN) integrated with machine learning algorithms. The proposed system monitors and predicts structural integrity under various load conditions. The research focuses on developing a machine learning model capable of real-time anomaly detection, allowing for early warnings of potential failures. Experimental results from both simulation and field tests demonstrate the system’s effectiveness in prolonging bridge lifespan while reducing maintenance costs.

Autonomous vehicles (AVs) are revolutionizing transportation by relying on advanced AI techniques like deep learning and reinforcement learning for decision-making and navigation. However, concerns about the opacity of traditional AI models in safety-critical applications such as autonomous driving raise issues related to safety, accountability, and trust. This study explores the integration of Explainable AI (XAI) techniques in AV systems to enhance transparency and interpretability while maintaining high prediction accuracy. XAI methods, such as LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive ExPlanations), provide understandable justifications for AI-driven decisions, addressing biases, fairness, and accountability. These techniques also support regulatory compliance and foster public trust in AVs. A mixed-methods approach, combining experimental simulations and user surveys, was employed to integrate XAI into AV systems and test its performance in urban traffic and highway driving scenarios. Feedback from users, collected through questionnaires and in-depth interviews, revealed that XAI-enhanced systems significantly improved the interpretability of AV decisions, leading to higher user trust and satisfaction. The study highlights the importance of balancing model complexity with interpretability, demonstrating that XAI techniques are crucial for building trust and ensuring accountability in autonomous driving systems.

Urban workers are increasingly vulnerable to heat stress due to rising global temperatures, especially in cities affected by the Urban Heat Island (UHI) effect. This heat stress poses significant risks to worker health and productivity, exacerbating health issues such as dehydration, heat exhaustion, and heat stroke, while also reducing work efficiency. The study aims to assess the effectiveness of green rooftop designs as a mitigation strategy for heat stress in urban workplace environments. Green rooftops are increasingly seen as a sustainable solution for urban heat management, offering benefits in temperature regulation, energy efficiency, and overall worker well-being. This study examines various heat stress mitigation strategies, including green roofs, industrial fans, and shading systems, focusing on their comparative effectiveness in reducing temperatures and improving worker comfort. The research involved environmental temperature measurements inside and outside urban workplaces, the use of wearable heat sensors to monitor workers’ heat stress levels, and building energy simulations to predict the impact of green rooftops on indoor climate control. Results indicate that green rooftops reduced workplace temperatures by an average of 3.8°C and decreased heat-stress-related complaints by 35%. In comparison to industrial fans and shading systems, green rooftops provided superior long-term relief, reducing heat stress and improving both worker productivity and environmental quality. The findings support the integration of green rooftops into urban workplace designs as a viable climate adaptation strategy. Future research should explore optimizing green rooftop designs for different climates and assessing their long-term benefits for worker health and urban resilience.

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

The purpose of the article writing program and publication strategy for PPKn high school teachers in the city of Surabaya is to support Surabaya teachers who do not understand article writing. This program aims to increase knowledge and improve the quality of writing for PPKn teachers, as well as support the process of applying for promotion. This training uses methods, including lectures, discussions, and simulations. The subjects of the training were 29 PPKn high school teachers throughout the city of Surabaya. The purpose of this training is to motivate teachers to be more motivated in writing scientific articles and understanding how to publish. In addition, teachers will gain skills in writing articles and understanding the publishing process so as to improve their professionalism.

Data communication is a field of science that studies the process of sending data, as well as how data can be received from sending and receiving terminals. A computer network is a set of "interconnections" between 2 or more autonomous computers connected by cable or wireless transmission media. Cisco packet tracer is a network simulation application developed by Cisco as a simulator as a learning medium for Cisco devices. Peer-to-Peer (P2P) network simulation using Cisco Packet Tracer software is an effective method for understanding, designing, and analyzing P2P networks in a controlled environment. The method used is literature study and carrying out simulation practice on Cisco Packet Tracer software to simulate a network. This research method aims to outline the steps and procedures required to simulate a Peer-to-Peer (P2P) network using Cisco Packet Tracer software. This abstract presents a brief view of the simulation approach used to model and examine the performance of a P2P network using Cisco Packet Tracer contains implementation steps for peer to peer network simulation. Through simulation, in-depth performance analysis can be carried out on various aspects of P2P networks, such as throughput, latency and reliability. This allows researchers and practitioners to understand how P2P networks behave under various conditions. Thus, P2P network simulation with Packet Tracer provides a useful tool for researchers and practitioners to understand and optimize P2P network performance in various scenarios.

The use of Cisco Packet Tracer software in simulating computer networks is related to data communications. The steps explained include creating a network topology by selecting the end device, determining the IP address as the device identity, configuring the HTTP service including settings for the web server and PC, checking the connection via a web browser and carrying out live simulations. thoroughly using PDU samples. Then the simulation can be said to be successful if the sample PDU shows a tick on the PC device and the simulation display on the panel matches the settings in the sample PDU that have been determined, namely from the web server to the PC or from the PC to the web server. The entire explanation can provide practical guidance in using Cisco Packet Tracer software to simulate computer networks, namely by focusing on data communications and HTTP service configuration.

Cellular networks play an important role in modern life with the availability of flexible connectivity in various places, fast internet access and communication services and are a reference for innovation and economic growth. However, the complexity of cellular networks requires careful planning and management, this is to ensure a reliable and safe service. The method used in designing cellular networks is the simulation method, namely by using Cisco Packet Tracer software and literature studies from various references. The results of cellular network simulations using this software can show superiority in designing, configuring and testing cellular networks. Apart from that, this software also provides complete features to meet several needs, starting from the process of creating a network topology, configuring IP addresses, activating DHCP services and HTTP services, to testing connections using PDU samples between smartphone devices and servers. With the successful connection test, it can be concluded that the settings and services on the cellular network have been tested and verified using Cisco Packet Tracer. This has shown that the software used is very effective in simulating and testing cellular networks.

This research uses Cisco Packet Tracer as a simulation tool for implementing WI-FI technology in a star topology. WI-FI technology is a wireless communication technology that allows electronic devices to connect wirelessly to a local area network (LAN). Star topology is one of the most commonly used network topologies, especially in wide local area networks (WLAN). This research uses Cisco Packet Tracer to model and simulate a star topology in WI-FI. This framework utilizes powerful simulation tools to facilitate network management and monitoring. Star topology can improve network performance because each device has a direct communication path to the access point. This research provides information about the basic concepts of WI-FI technology, introduces star topology and explains its implementation using Cisco Packet Tracer.

Nowadays, many people use technology in the form of cellphones to share data, be it images, sound, video, text, and some of them. The speed of sending data depends on how fast the system manages it, if there is damage or obstacles then most likely the data will not be sent, therefore there must be someone who manages the system so that there are no obstacles when sending data. Mesh topology is a simulation that is connected to each other to send data from one computer to anothe computer, from the simulation we can see whether there are obstacles in sending data or not. The purpose of this research is to compare mesh topology and switching technology in data transmission simulation. This research uses library research methods to collect information and scientific works, namely literature related to literature review.

This writing aims to enhance the focus of learners in the learning process by employing the role playing learning model. The role playing learning model involves activities where learners take on specific character roles. Through this simulation, the goal is to develop problem-solving skills and behaviors, as well as to delve into the subject matter with a unique approach. Data compilation in this writing is conducted through literature review, utilizing sources from journals, books, and other scholarly works. By employing this learning model, it will enhance the engagement and focus of learners in the learning process.

As time goes by, existing technology continues to develop, one of which is network communication technology. LAN Computer Network or Local Area Network is a computer network consisting of several computers connected to each other in a relatively small area such as a building, campus or office. This research was conducted to see how a LAN network works to deliver data or information. This research is a type of descriptive research. The methods used in this research are literature study and simulation methods. The simulation is carried out using the Cisco network application. As a result, the Cisco application can project the working principles of a LAN network.

Reducing MMR and AKB is a priority for health development as stated in Presidential Regulation Number 18 of 2020 concerning the 2020-2024 National Medium-Term Development Plan. The main causes of maternal death are hypertension in pregnancy and postpartum hemorrhage. This cause can be minimized if the quality of Antenatal Care is carried out properly. Some conditions that can cause the condition of pregnant women are not healthy. High-risk pregnancy is a pregnancy condition that can threaten the health and safety of the mother and fetus. This condition can be caused by complications during pregnancy, but it can also be caused by a medical condition that the mother has had since before pregnancy. The Poedji Rochjati scorecard (KSPR) is a scorecard used as a family-based antenatal screening tool to find risk factors for pregnancy. The challenges faced by cadres in carrying out health development activities are generally caused by the lack of education level and lack of training provided to them regarding their duties as Posyandu cadres. The purpose of the activity "SOSIS POSKA (Socialization of Poedji Rochjati Scores with Cadres) is expected that pregnant women with high risk can be detected as early as possible so that action planning can be carried out and can reduce maternal and infant mortality (AKB). This activity will be carried out in January 2024, carried out in two places, namely the Pandansari village Polindes and at the cadres' house, in the Kintap Health Center Working Area, Tanah Laut Regency, South Kalimantan. Pandansari Village was chosen to be given the innovation of the POSKA SOSIS program because it is a village with 89 pregnant women and most of them have a high risk (pregnant women >35 years, hypertension, pregnant women with comorbidities). The participants of this activity were cadres totaling 15 people. The activities carried out were Socialization about Poedji Rohjati Score, Simulation of Poudji Rochjati Score implementation, Evaluation, and question and answer. In this activity participants gave a fairly good response and discussed with each other, what things can help so that the objectives of this program are understood and can be implemented properly and correctly.

This research explores the development and evaluation of a specialised English language curriculum for students in the field of multimodal transportation. Through qualitative analysis involving 100 cadets, the study identifies the specific language skills essential for success in this dynamic industry, including speaking, listening, reading, and writing. Based on these findings, a curriculum is designed to enhance students' proficiency and confidence in using English for various transportation-related tasks. The curriculum incorporates industry-relevant content and interactive instructional methods, such as role-plays and simulations, to provide students with practical skills applicable to real-world transportation scenarios. Pre- and post-curriculum assessments, along with feedback from students and instructors, demonstrate a significant improvement in students' language proficiency and confidence after completing the curriculum. The study also analyses the implications of English Language Teaching (ELT) and English for Specific Purposes (ESP) linguistics in designing a curriculum tailored to the needs of multimodal transportation professionals. The research contributes to the advancement of English language education within the transportation sector, offering insights for curriculum development and improvement.

This study seeks to create a system for monitoring the environment using the Internet of Things. It aims to help farmers manage their rice fields in a way that is both effective and sustainable. The system will provide farmers with real-time data on soil moisture, air temperature, and rainfall, allowing them to make informed decisions. Sensors will collect this information, which will be analyzed and presented simply through a web or mobile app. Early simulations suggest that this system could boost crop yields by as much as 15% and cut water use and costs by 20%. These findings point to the IoT monitoring system as a practical means to enhance rice farming's efficiency and productivity. Yet, there are hurdles. Issues like poor network infrastructure, high costs of implementation, and the farmers' ability to adapt to this technology need to be overcome for the system to work properly. This study aspires to make a real difference in promoting sustainable farming practices while paving the way for more advanced IoT solutions in the future.

The stochastic SEIR model offers an innovative approach to understanding the spread of infectious diseases, particularly tuberculosis, in limited populations. This study adopts a stochastic model to capture random variability in individual interactions, often overlooked in deterministic models. The population is divided into four main categories: Susceptible (S), Exposed (E), Infected (I), and Recovered (R), with transitions between categories determined by probabilities based on epidemiological parameters. Through simulations, the model demonstrates its capability to depict more realistic patterns of disease spread, including fluctuations in case numbers and epidemic duration. The findings indicate that stochastic variability plays a crucial role in understanding the dynamics of tuberculosis transmission, especially in small populations or when the number of individual contacts is limited. The stochastic SEIR model can serve as an effective tool for policymakers to evaluate various intervention strategies, such as vaccination, transmission control, and treatment, as well as to design public health policies that are data-driven and adaptive to epidemiological uncertainties.

The Association of Indonesian Catering Experts (Ikaboga Indonesia) is a social organization with 28 DPDs in 28 Provinces, providing many courses and training in Catering. It is not easy to control; it requires organizational communication competence because it is essential to lead and maintain the organization's running and effectively achieve organizational goals. In the 4C Model, competencies (critical thinking, communication, collaboration, and creativity) are 21st Century Skills. So that Ikaboga Indonesia's activities are widely known and trusted, this can include using social media as a branding and reputation-building medium. Moreover, it is known that 60% of Indonesia's population uses social media. Branding is essential because it can place an organization's name above other competitors, and reputation is critical because it can carry positive attributes and provide sustainable profits. This is the urgency and background of this training. The aim is for Ikaboga Indonesia Chairs to improve their organizational communication competence and the 4C Model, both for branding and building reputation through social media. This activity was carried out hybrid (offline and online) on February 6, 2024, in the Hall, Fl. 7 Tedja Buana Building, Menteng, Central Jakarta. It uses presentation, question and answer, discussion, practice, and simulation methods. One hundred fifty-nine participants participated, 44 (27.8%) offline and 115 (72.2%) online. Get positive responses, rated as needed, helpful, and engaging.  

Hyperthermia is a condition of failure to regulate body temperature (thermoregulation) due to the body's inability to release or remove heat or excessive heat production by the body with heat release at a normal rate. Determine nursing problems that arise in patients based on the results of the assessment, determine interventions, carry out implementation according to the plans that have been determined and evaluate the actions / implementations that have been carried out. In accordance with the problems experienced by these partners, efforts have been made, among others, by implementing the implementation of a water tepid sponge in pediatric patients who experience hyperthermia who are treated in the pediatric ward. The specific target of this PKM activity is to teach mothers of child patients who experience hyperthermia, but through education by nurses in the children's ward. water tepid sponge therapy can reduce milk quickly and prevent fever, especially in pediatric patients who experience hyperthermia at Permata Medika Hospital Semarang. Teach the nurse in the pediatric ward how to reduce fever by using a water tepis sponge and the nurse will later educate the parents of child patients with fever. The method used in this PKM activity is to apply the implementation of a water tepid sponge in pediatric patients who experience hyperthermia. Demonstration of water tepid sponge according to SOP. The result of this community service activity is that the level of knowledge of nurses and parents of patients who experience hyperthermia at Permata Medika Hospital in Semarang has increased after being given material on reducing fever management, besides that the patient is able to carry out a simulation on how to reduce fever with a water tepid sponge.