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This research aims to design an Aircraft Jacking control system for the Boeing 737-800 to automatically balance the aircraft's inclination using an MPU6050 sensor and servo actuators. The system can detect pitch and roll angles with an accuracy of ±0.5° and an average response time of 150 ms. Based on tests using five datasets, the balancing time ranges from 400 to 600 ms, depending on the initial imbalance. In Dataset 5, with a pitch of 3.5° and a roll of -2.3°, the system required 600 ms to achieve balance, demonstrating its ability to handle critical conditions. The servo actuators successfully adjusted the jacking height within a range of 2 cm with a precision of ±0.02 cm, while the OLED-based monitoring system allowed operators to observe the inclination angles in real-time. Furthermore, ESP-NOW-based communication achieved a data transmission success rate of 98%, supporting efficient centralized control. This research demonstrates the system's effectiveness in balancing the aircraft quickly and accurately, providing a foundation for further development under extreme conditions and energy efficiency improvements.

The function of artificial intelligence (AI) in creating a positive consumer experience on the Shopee e-commerce platform is covered in this study. Nowadays, artificial intelligence (AI) plays a significant role in the e-commerce sector, allowing businesses to offer more individualized, quick, and safe services. This study examines how Shopee customer satisfaction and loyalty are impacted by the use of AI technologies, including chatbots, tailored product suggestions, fraud detection, and inventory management. This study found that AI plays a significant role in making shopping more responsive and convenient by analyzing data on the use of chatbot services, the efficacy of personalized recommendations, the accuracy of predicting customer needs, transaction security, and the efficiency of logistics management. According to the study's findings, implementing AI technology reduced service response times by up to 20% and increased customer satisfaction by 15%. In addition to enhancing service quality, the use of AI increases Shopee customer loyalty. These results demonstrate how AI in e-commerce holds enormous promise for fostering startup expansion and enhancing client connections.

This research aims to analyze the level of student satisfaction with the services provided by the Academic Administration and Registration Bureau at Stella Maris University, Sumba. The method used in this research is a survey with a quantitative approach, where data is collected through questionnaires distributed to students from various study programs. Data analysis was carried out using descriptive statistical techniques to describe the characteristics of respondents and their level of satisfaction with various aspects of service, including speed of service, quality of information, and the attitude of bureau officers. The research results show that the majority of students are satisfied with the services provided, although there are several aspects that need to be improved, such as response time to questions and completeness of the information provided. This research provides recommendations for service improvements, including increased training for bureau staff and the development of more efficient information systems. It is hoped that these findings can contribute to improving the quality of academic administration services at Stella Maris University, Sumba.

As cloud computing advances, organizations' IT infrastructure and application deployment processes are moving to the cloud because cloud computing provides everything as a service over the Internet. The performance of a cloud-based application is based on proper datacenter selection and workload distribution within the selected datacenter. Service broker policies are used for suitable datacenter selection, and load balancing algorithms(LBA) are applied to distribute workloads. This paper is to evaluate the effect of a proposed service broker policy (PSBR) on the performance of cloud-based applications with LBA. To achieve the objective, the behavior of the TikTok application was modeled using the worldwide users’ statistics on the cloud simulation framework, namely CloudAnalyst. As a result, the average response time and data center processing time are measured. Next, the PSBR provides better results than the existing service proximity-based policy. This paper supports cloud service providers' benefits, from coordination between data center configuration, data center selection, and workload distribution to cloud users' identification of the appropriate procedures for their organization or application. PSBR with Active Monitoring had the best average response time of 75.1 ms, while SPR consistently exhibited higher average times across all algorithms, with the highest being 84.5 ms for Round Robin. Under the PSBR policy, Throttled had the lowest average processing time (4.67), while Round Robin had the highest (5.72). Similarly, under the SPR policy, Throttled maintained its efficiency with the lowest average (4.8), while Round Robin showed the highest (5.79).

The shipping industry is closely related to economic growth in various countries. This transportation is very dependent on export and import activities. As the country's economy improves, especially in Asia, the maritime transportation business in Indonesia will also develop. The pattern of sending goods via sea transportation has changed, especially in terms of bulk transportation. which demands modern technology such as automation and intelligent control systems. This research aims to design and develop Android-based spreader control using Arduino Mega 2560 on a floating ship. This project is designed to increase efficiency and ease of operation in the loading and unloading process on ships, which previously still used manual control with a remote control or joystick which had limitations such as limited visibility. In this research, the spreader control system is connected to an Arduino Mega 2560 microcontroller via the HC-05 Bluetooth module, allowing the operator to control the spreader via an Android device. Test results show that data is obtained at a distance of 1 to 13 meters, the Android-based spreader control system shows a response time ranging from 1 to 9 seconds, which shows that the system is functioning properly. At a distance of 14 to 19 meters, the response time increases to 18 seconds, indicating quite good system performance. This shows that there is quite significant latency in data transmission. However, the system still managed to carry out spreader control well. At 20 meters, the system failed to respond to the spreader control. This shows that the effective range of this Bluetooth module is below 15 meters. This research makes a significant contribution to the development of automatic control technology in the shipping industry, especially in the use of intelligent control systems integrated with mobile devices.

At this moment, IoT technology was implemented in a broader area. The development of IoT technology can help human life become more manageable. IoT systems can help human activity through the natural time control system provided before. But there are some drawbacks when implementing the IoT system. One of them is the transmission process in the networking area. It’s happened because of weather, and other natural problems. Sometimes, IoT transmission can’t reach on time. It can make errors reading data on the user side. We proposed a transmission system, namely a Hybrid MP-QUIC transmission protocol, for helping in sending the data. Using this transmission protocol can reduce the response time between client and server.

This research explores increasing the efficiency of network resource use through load balancing techniques. Load balancing distributes workload evenly among servers to optimize resource usage, maximize throughput, and minimize response time. We compare various load balancing algorithms, such as round-robin, least connections, and least response time, in various network scenarios. Experimental results show that proper load balancing techniques can reduce response time by up to 30% and increase resource usage efficiency by up to 40%. This study highlights the importance of selecting appropriate algorithms based on network traffic and workload characteristics. Implementing effective load balancing strategies can improve the quality of network services and ensure even distribution of workloads, providing practical guidance for network administrators to optimize network performance and efficiency.

Computer networks and the Internet are currently developing very rapidly, especially the role of the internet as a source of information, demanding excellent connection quality. Hotel Puri Indah Mataram, for example, has used two internet service providers (ISP) to handle the surge in demand from customers/guests. When there is an increase in requests, network devices become burdened because they have to process more requests. One solution is to implement load balancing, namely distributing the traffic load to network devices so that it is not centralized on just one ISP. This aims to ensure traffic runs optimally, increase throughput, speed up response time, and prevent overload on one connection line. This technique will optimize network performance by utilizing a two-path connection distribution method known as the NTH method. In addition, a failover technique will be implemented, where if one gateway connection is lost, another gateway will automatically take over all network traffic. This aims to ensure continuous service availability. Finally, there will be bandwidth management for all clients, so that bandwidth distribution becomes more even and efficient.

Data networks are the lifeblood of modern life, connecting people and information at high speeds. Frame Relay technology plays an important role in delivering efficient and reliable data connectivity, like a water pipe that flows information seamlessly. Specifically designed for Wide Area Network (WAN), Frame Relay works at layer 2, optimizing data transmission between remote locations. This research uses experimental research. Experimental research is a manipulative process that needs to be carried out by applying certain treatments/treatments to research subjects and observing/measuring the effects. This research was conducted by looking at the results of the ping test on Router 1, Router 2 and Router 3 in sending messages over the network in 1 cloud The "ping" command is used to test the network connection by sending packets to the specified IP address. The results of the "ping" command show that the network connection to IP address 192.168.5.100 can be guaranteed successfully, with an average response time of about 16 ms. The frame relay circuit on the cloud router uses frame relay technology to send data between connected devices. The cloud router becomes the center of the frame relay network and manages the data traffic between the devices. IP network configuration can be done automatically through DHCP Ping also shows that the network is reliable with a minimum response time of 13 ms, a maximum of 19 ms, and an average of 16 ms.

This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates advanced security solutions that can detect and respond to evolving cyberattacks. Literature Review: Traditional Intrusion Detection Systems (IDS), including signature based and anomaly based methods, are not equipped to handle the dynamic nature of 5G networks, leading to high false positives and low detection accuracy. In contrast, RL offers significant improvements in adaptability, detection accuracy, and response time. Materials and Method: The study simulates 5G network traffic and develops an RL-based IDS using Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) techniques. The performance of the RL-based system is compared to traditional IDS systems, focusing on detection accuracy, false positive rates, and response times. Results and Discussion: The RL-driven IDS demonstrated superior performance, achieving higher detection accuracy (95%) and faster response times (30 milliseconds) compared to traditional methods. However, challenges such as computational cost and model interpretability were identified. The study emphasizes the importance of adaptive learning mechanisms and the integration of RL into Zero Trust Architecture (ZTA) to enhance the security of 5G networks.

Cloud-based resource allocation and VM/container orchestration play a crucial role in ensuring performance, scalability, and energy efficiency in modern distributed computing environments. This study investigates the effectiveness of centralized and decentralized scheduling models combined with heuristic and optimization-based allocation strategies in container-based cloud infrastructures. A quantitative experimental approach was employed to evaluate system performance under varying workload intensities. Key evaluation metrics included response time, throughput, resource utilization, SLA violation rate, and energy consumption. The experimental results indicate that centralized scheduling mechanisms experience scalability limitations and increased latency under high workload conditions. Although optimization-based allocation improves performance within centralized architectures, coordination bottlenecks remain significant. In contrast, decentralized scheduling models demonstrate superior adaptability, reduced response time, and improved throughput due to distributed decision-making and reduced control overhead. The integration of intelligent optimization techniques further enhances resource utilization and energy efficiency, achieving the lowest SLA violation rates and highest system stability. Overall, the findings confirm that combining decentralized scheduling with optimization-driven resource allocation provides a more scalable and sustainable orchestration strategy for modern cloud environments. This approach is particularly suitable for dynamic, large-scale, and latency-sensitive applications in container-based and edge-integrated cloud systems.

The advent of 5G technology has marked a significant shift in the telecommunications industry, offering transformative improvements in service speed, latency, and network reliability. This study explores the impact of 5G on operational efficiency and service innovation in telecom companies. By examining the operational performance of three leading telecom companies that have implemented 5G networks, the research identifies key improvements in speed, cost reduction, and resource optimization. The findings highlight that 5G has enabled companies to achieve up to 100 times faster data transfer speeds compared to previous generations, drastically reducing latency and enhancing network reliability. These improvements contribute to increased customer satisfaction, faster response times, and reduced operational costs. Additionally, the integration of artificial intelligence (AI) for network management has optimized resource allocation and further enhanced the efficiency of telecom operations. The research also demonstrates how 5G has driven innovation in service offerings, such as enabling smart cities, IoT integrations, autonomous vehicles, and real-time patient monitoring in healthcare. While the deployment of 5G offers numerous benefits, the study acknowledges challenges such as high infrastructure costs, digital inequality, and regulatory hurdles. Telecom companies must invest significantly in infrastructure and navigate complex regulatory environments to fully realize the potential of 5G. The study concludes that 5G technology has the potential to reshape the telecom sector, fostering greater competitiveness, service quality, and innovation. Future research should focus on the long-term impact of 5G on customer loyalty, its expanded applications, and its role in advancing future technologies such as 6G.

Online consultation is an idea from e-government in the health services sector that uses technology to integrate health services at Community Health Centers. The aim is to simplify bureaucratic processes in health services to the community. In practice, there are still several obstacles that arise, such as a lack of outreach efforts, slow response times from consultations, and recording that is not automatic because it still relies on WhatsApp. The aim of this research is to determine the effectiveness of "online consultation" to improve the quality of public services at the Pondok Betung Community Health Center, South Tangerang City. The method in this research is a qualitative method with a descriptive approach. Data collection techniques using observation, interviews and documentation as complements. This research was analyzed using 4 (four) indicators of effectiveness, namely: (1) Accuracy of Program Targets, (2) Program Socialization, (3) Achievement of Program Objectives, and (4) Program Monitoring. The research results show that the effectiveness of the "online consultation" service at the Pondok Betung Community Health Center has not been achieved because there are still many people who do not know the information about this service. The socialization program for this service is not yet optimal because many people are still not aware of its existence. The program's objectives have also not been achieved well because the "online consultation" service has not been running smoothly and only a small number of people are using it. From the results of this research, it is concluded that online health services at the Pondok Betung Community Health Center, South Tangerang City have not reached the expected level of effectiveness.

Burglary involves forced or unauthorized entry, which leads to damage or loss of property having monetary or emotional value and, more severely, puts lives at risk. The dire need for the safety of lives and properties has attracted so much research on burglary alert system using Internet of Things (IoT) technology. Most of the research focused on alerting the users of burglary attempts using any or a combination of two notification methods: SMS, call, and email. This study emphasizes three-mode notification that combines SMS, call, and email using the application of IoT technology in a burglary alert system, which uses a Passive Infrared (PIR) sensor for burglar detection to ensure that Homeowners or authorized personnel get alerts in events of imminent attempt to break-ins. The study also details the sensor integration with its supporting components, such as the central hub or microcontroller, buzzer, LED, and network interface in the development of the system. The software was developed to facilitate seamless integration with the hardware, ensuring timely and accurate event detection and subsequent alert generation using Arduino IDE programming language, a framework based on the C++ language. The system effected the 3-mode notification to ensure that users get notification in case of an imminent break-in since the failure of the three modes simultaneously is extremely rare. The system’s performance based on its responsiveness on the 3-mode notifications was evaluated, and an average of 83.56% responsiveness was obtained, indicating an acceptable response time.

The increasing complexity of modern software systems and the growing demand for real-time data processing have significantly contributed to higher energy consumption in computing infrastructures. This challenge is particularly evident in systems that rely on continuous monitoring, analytics, and adaptive decision-making. Addressing energy efficiency without compromising system performance has therefore become a critical concern in sustainable software engineering. This study proposes an energy-aware software approach that integrates real-time analytics with adaptive feedback mechanisms to optimize energy consumption while maintaining operational performance. The research adopts a design science oriented methodology, encompassing system design, implementation, and experimental evaluation. The proposed system architecture consists of real-time data acquisition, intelligent analytics, and an adaptive control layer based on the MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) feedback loop. Experimental evaluations were conducted under dynamic workload scenarios to compare the proposed adaptive system with a baseline non-adaptive system. Key performance indicators included energy consumption, response time, throughput, and adaptation latency. The results demonstrate that the proposed system achieves a substantial reduction in energy consumption while maintaining, and in some cases improving, system performance metrics. The adaptive feedback mechanism enables the system to respond effectively to workload fluctuations, reducing unnecessary energy usage during low-demand periods and ensuring stable performance during peak loads. These findings provide empirical evidence that real-time analytics and adaptive control can effectively support energy-efficient and sustainable software systems. This research contributes to the field of energy-aware software engineering by demonstrating that intelligent real-time adaptation is a viable strategy for achieving sustainability objectives in dynamic and performance-critical environments.

The integration of Artificial Intelligence (AI) chatbots into customer service operations within digital banks has become a transformative trend in the banking sector, particularly in Indonesia. This study examines the effectiveness of AI chatbots in improving both operational efficiency and customer satisfaction in three selected Indonesian digital banks. The research focuses on evaluating the impact of AI chatbots in reducing response times, handling high volumes of customer inquiries, and improving service availability. The study also delves into customer feedback, measuring satisfaction with the ease of use, personalization, and responsiveness of the AI systems. The results demonstrate that AI chatbots significantly enhance customer service efficiency by reducing wait times and automating routine inquiries, which reduces the need for human intervention. Additionally, customers reported high satisfaction with the round-the-clock availability of AI chatbots and the personalized financial advice provided. However, despite these benefits, challenges related to data security, chatbot accuracy, and customer adaptation to automated systems remain prevalent. Data privacy concerns and issues regarding the chatbot's ability to handle complex queries were noted as limiting factors in customer trust and satisfaction. The study highlights the implications of these findings for the future of digital banking in Indonesia, emphasizing the need for improved chatbot integration, stronger data security measures, and enhanced user experience design. The integration of AI in customer service operations holds significant potential for digital banks and the broader financial sector to improve operational efficiency, reduce costs, and meet the evolving expectations of customers.

Blockchain platforms propagate into every facet, including managing medical services with professional and patient-centered applications. With its sensitive nature, record privacy has become imminent with medical services for patient diagnosis and treatments. The nature of medical records has continued to necessitate their availability, reachability, accessibility, security, mobility, and confidentiality. Challenges to these include authorized transfer of patient records on referral, security across platforms, content diversity, platform interoperability, etc. These, are today – demystified with blockchain-based apps, which proffers platform/application services to achieve data features associated with the nature of the records. We use a permissioned-blockchain for healthcare record management. Our choice of permission mode with a hyper-fabric ledger that uses a world-state on a peer-to-peer chain – is that its smart contracts do not require a complex algorithm to yield controlled transparency for users. Its actors include patients, practitioners, and health-related officers as users to create, retrieve, and store patient medical records and aid interoperability. With a population of 500, the system yields a transaction (query and https) response time of 0.56 seconds and 0.42 seconds, respectively. To cater to platform scalability and accessibility, the system yielded 0.78 seconds and 063 seconds, respectively, for 2500 users.

Patient satisfaction is an expression of the patient's feelings for the service received in accordance with the expected service. a fast response time can result in a feeling of satisfaction with the service. The standard time for patients to be served after arriving at the emergency room is ≤ 5 minutes. This can also be achieved by improving the infrastructure, human resources, and management of hospital emergency rooms according to standards. The purpose of this study was to determine the relationship between nurse response time and patient satisfaction in the emergency department of Bhayangkara Hospital, Manado. The research was conducted using analytic observational method with a cross sectional design. Samples were taken based on 43 respondents using non-probabilitay sampling by way of accidental sampling. Measuring tools used in this study were observation sheets and questionnaires. Furthermore, the data were analyzed using the chi-square test with a significant value of ≤ 0.05. The results showed that the p value was smaller than the significant value (0.000 <0.05). The results of this study showed that Ha was accepted and H0 was rejected. The conclusion in this study is that there is a relationship between nurse response time and the level of patient satisfaction in the emergency department of Bhayangkara Hospital, Manado. The results of this study are expected to improve the quality of service in this case the response time of nurses in the emergency department