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In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

The synchronization of mutex and semaphore mechanisms is an important technique in operating systems for managing concurrent resource access in multi-threaded environments. In the Android operating system, which relies on thread-based programming to maintain performance and responsiveness, these two mechanisms play a vital role in preventing race conditions and ensuring data integrity. A mutex is a locking object that ensures that only one thread can access a specific resource at a time, while a semaphore controls access to a limited number of resources by counting the number of threads that can access them simultaneously. In Android, these mechanisms are implemented using the Lock class for mutexes and the Semaphore class for semaphores, both of which can be used to control synchronization between threads in Android applications. This paper will discuss the application of these two mechanisms in the context of shared resource management, as well as a comparison of their performance and advantages in dealing with complex multi-threading scenarios on Android. Emphasis will also be placed on the challenges faced in using these two mechanisms in Android applications, as well as how proper programming can avoid deadlocks and improve application efficiency.

Indonesia is currently experiencing rapid and dynamic development, especially in the field of Sharia insurance. Sharia insurance has become an increasingly important and strategic sector in the Indonesian financial industry. This significant development is clearly reflected in data showing notable and consistent growth in the contribution of Sharia insurance to the overall insurance industry in the country. Sharia insurance is an economic activity that aims to help (ta'awun) and share risks (sharing of risk) among fellow participants in a mutually beneficial manner. Optimizing Sharia operational systems is a both a concept and practical approach to managing the operations of financial institutions or businesses based on Islamic or Sharia principles. The research method used in this study is a descriptive method based on a qualitative approach. The type of research undertaken is literature research, conducted by utilizing literature (references). This research aims to identify various challenges faced in Sharia insurance operational systems.

This study explores how Aman Kuba Coffee Shop in Yogyakarta manages its raw material inventory to maintain product quality and deliver excellent customer service. Effective inventory management is crucial to ensuring consistent coffee flavor and customer satisfaction. This research employs a qualitative method using a case study approach, involving direct observation of inventory management practices at the shop. Data were collected through interviews with the owner, manager, baristas, and customers; on-site observations; and examination of documents such as stock records and quality standards. The findings reveal that a structured and consistent inventory system plays a key role in preserving raw material quality. Moreover, efficient inventory management positively influences customer satisfaction and supports the overall operational efficiency of the coffee shop.

The optimization of thread management in operating systems is essential to improve the performance of multithreading-based applications. This study analyzes various techniques to enhance thread management efficiency, including thread pooling, dynamic scheduling, load balancing, and synchronization contention reduction. Experimental results indicate that thread pooling reduces overhead by reusing threads, while dynamic scheduling improves multitasking responsiveness by prioritizing urgent tasks. Load balancing ensures equitable workload distribution across processor cores, minimizing execution time. Furthermore, reducing synchronization contention using mechanisms like semaphores decreases thread waiting time, thereby boosting application performance. These optimizations enable modern operating systems to efficiently utilize multi-core architectures, improving speed, responsiveness, and user experience. This research highlights the importance of thread management optimization as a foundational step towards developing adaptive and scalable operating systems for future complex and data-intensive applications.

Assembling a personal computer and installing the Windows operating system are important activities in mastering information technology. This research aims to provide an in-depth understanding of the computer assembly process and operating system installation. The methods used include a Research and Development (R&D) approach, hands-on practice, and question-and-answer sessions. The research results show that systematic assembly steps and proper installation can produce a well-functioning computer. In addition, initial testing after assembly is crucial to ensure that all devices are detected correctly. It is hoped that this research can serve as a reference for information technology education and enhance students' practical skills in the field of computers.

Pengembangan sistem operasi pada platform terdistribusi, terutama dalam konteks Cloud Computing, memainkan peran penting dalam mengelola sumber daya komputasi secara efisien. Manajemen terdistribusi mengacu pada penggunaan terintegrasi dari berbagai komponen di berbagai lokasi, menghadirkan tantangan yang signifikan dalam mengelola dan memantau sumber daya yang tersebar. Komputasi awan menawarkan solusi infrastruktur fleksibel yang memungkinkan pengguna mengakses sumber daya komputasi tanpa memerlukan manajemen infrastruktur fisik. Penelitian ini bertujuan untuk mengoptimalkan manajemen terdistribusi dalam sistem operasi komputasi awan dengan memanfaatkan algoritma pembelajaran mesin untuk meningkatkan efisiensi alokasi sumber daya dan meningkatkan keamanan data. Pengumpulan data dilakukan melalui metode observasi sistematis dan tinjauan pustaka. Temuan menunjukkan bahwa penerapan algoritme prediktif di lingkungan cloud secara signifikan mengurangi waktu respons dibandingkan dengan metode manual dan memperkuat perlindungan data melalui deteksi intrusi yang ditingkatkan. Selain itu, sistem berbasis pembelajaran mesin memungkinkan skalabilitas yang lebih baik dan adaptasi yang lebih cepat terhadap permintaan sumber daya dinamis tanpa waktu henti sistem. Makalah ini menyumbangkan wawasan berharga dalam mengoptimalkan kinerja komputasi awan melalui manajemen sumber daya terdistribusi yang ditingkatkan.

This research describes the flexibility and simplicity of the Linux operating system architecture. These are the main factors behind its popularity in various technological applications. This study uses a literature approach to explore kernel modularity, extensive file system support, and kernel modularity in meeting the needs of users in various computing environments, ranging from the Internet of Things (IoT) to large-scale servers. Research shows that the modular structure of Linux makes it easy to customize the operating system without compromising stability. In addition, the open source nature of Linux supports learning and innovation among the global community. Despite the challenges of development complexity, the open source community remains committed to providing documentation and tools to support the user experience. With flexibility and simplicity at the core of its design, Linux continues to adapt to the rapid advancement of information technology.

The structure of the Windows operating system plays an important role in supporting the operational performance of computers, especially in business environments and professional users. This system is designed with a modular and layered architecture, which includes various components such as Hardware Abstraction Layer (HAL), I/O device manager, virtual memory management, and an integrated security system. Windows also supports energy management and plug-and-play mechanisms, which improve power efficiency and hardware compatibility. This architectural approach allows Windows to optimize interactions between hardware and applications, supports multitasking, and provides an efficient user interface. Thus, the structure of the Windows operating system is able to significantly improve device performance, which leads to optimization of operational performance.

This study aims to analyze process management in the Linux operating system, focusing on how processes are managed from creation, scheduling, to termination. Linux utilizes various scheduling and memory management mechanisms to ensure system efficiency and stability. One of the schedulers used is the Completely Fair Scheduler (CFS), which provides a fair distribution of CPU time based on the priority and needs of the processes. This research also discusses the use of techniques such as paging for memory management and how Linux handles inter-process communication through pipes and shared memory. Experiments were conducted to measure CPU usage, memory consumption, and execution time by various processes with different priorities. The results show that Linux effectively manages resources, provides fair time-sharing, and maintains security by isolating the address space between the kernel and user-space. This study is expected to contribute to the further development of process management in Linux and provide insights for developers and system administrators to optimize operating system performance.

Authentication security is an important aspect of the operating system. This research evaluates the security of user authentication on Windows and Linux operating systems by analyzing various methods such as the use of passwords and two-factor authentication. This study compares effectiveness, flexibility, and stability to provide insight into their advantages and vulnerabilities. The literature review method is used by utilizing secondary data from relevant sources. The research results show that Linux offers superior security due to its open-source nature and strong permission-based model, while Windows excels in ease of use and integrated features such as Active Directory. These results aim to provide information to users and organizations in choosing an operating system that suits their needs.

Optimizing the performance of Linux-based operating systems for IoT applications in the trading sector is an important strategy in improving operational efficiency and competitiveness. This study explores Linux optimization techniques that can be applied to IoT systems to improve the speed, stability, and security of applications in the trading environment. This research method is carried out using descriptive qualitative through interviews, literature studies and observations. This study focuses on resource management and the implementation of advanced security features. Case studies on several real implementations show that by applying optimization techniques, such as process priority settings and routine updates, system performance can be significantly improved. The results of the study show that proper optimization can reduce system latency, increase data output, and strengthen security, which ultimately supports the success of IoT applications in the trading sector.    

With all respect and gratitude, we express our gratitude to the presence of Allah SWT who has bestowed His grace and grace, so that we can complete a paper entitled "Development of Hear Talk Me Application Design for Deaf People Based on the Android operating system". Shalawat and salam may always be poured out to the Prophet Muhammad SAW, a role model for mankind. This paper describes the development of smarthphone aids that aim to improve accessibility for deaf people. This application is designed using the android operating system to be easily used by users with special needs. The main features included include text to voice translation and vice versa, as well as vibration notifications for incoming calls or messages. With this paper, we hope to create a useful and effective tool for deaf people to be able to access and utilize Smartphone functions maximally, hopefully this paper can provide useful insights and inspire further research in the development of accessibility technology

Optimizing Windows-based operating systems for databases in Cloud and Edge Computing environments is very important to increase data management efficiency and performance. In this study, we discuss ways to optimize Windows in both environments. In the Cloud environment, the main focus is on data management using services such as Google Drive, while in the Edge environment, optimization is carried out using Windows IoT Core and Windows IoT Enterprise. Of these two, we optimize Windows IoT Enterprise more because it is more directed towards Edge computing. Our research results show that by implementing the right optimization and efficient performance results, database performance can be significantly improved, which provides great benefits for individual users and society

In the context of rapidly evolving mobile technology, memory management has become an important aspect that determines the efficiency and effectiveness of Android operating systems, particularly on mid- range smartphones. The objective of this research is to identify, analyze and develop memory management strategies that can improve the performance of the Android operating system on resource-constrained devices. Using an experimental approach, this study evaluates various memory management techniques, including the use of optimized caches, memory compression, and page replacement algorithms, to determine the most effective combination to improve system responsiveness and performance. The results show that the implementation of appropriate memory management strategies can significantly improve operating system performance and user experience while extending battery life. These findings provide valuable information for application developers and device manufacturers to optimize their products for mid-range smartphone competition.

The development of quantum computing presents new challenges to the security of data stored and processed by today's computer systems. Quantum computers have the ability to perform calculations at very high speeds, which could threaten the security of currently used encryption algorithms. Therefore, steps are needed to design and implement an operating system that is able to protect data from quantum computing threats. Ubuntu Linux version 22.04, as one of the leading open source Linux distributions, offers high-level security features. To face the era of quantum computing, it is necessary to carry out special development and implementation of this operating system. This research aims to improve the security of the Ubuntu Linux operating system version 22.04 so that it can withstand quantum computing attacks by designing and implementing a quantum-resistant cryptography protocol and testing the security and performance of the resulting system. This research method uses a qualitative approach and research and development (R&D) with literature studies. The research results show that the integration between Liboqs and OpenSSL on Linux Ubuntu 22.04 successfully implements a cryptographic algorithm that is resistant to quantum computing. Although there is a slight performance increase due to the additional overhead of the quantum algorithm, the security of the system in protecting data from quantum computing attacks is proven to be well maintained.    

Technological developments in the digital world have now begun to increase the use of operating systems such as Android which are often used on electronic devices such as smartphones and tablets, penetrating various fields of human life. The use of these devices is essential in facilitating various tasks, especially digital ordering and transactions. This integration provides better transaction protection, more effective usage, and benefits and convenience. Cloud computing makes it easy and efficient to integrate digital ordering applications into payment systems. Observations show that these integrations provide user convenience and purchase trends, assist marketing strategies, and generate more accurate business decisions. If carefully developed and implemented, this integration has great potential to change the way business is done in the digital age.    

In the digital era, mobile operating systems (OS) play a pivotal role beyond mere application execution platforms. They are essential for optimizing energy efficiency and enhancing security, particularly in the realm of mobile banking. This paper explores the critical role of mobile OS in supporting sustainable economic growth through efficient energy use and robust security measures in mobile banking transactions. The focus is on how these OS advancements contribute to a secure and environmentally responsible digital economy. Key aspects covered include energy optimization strategies, security enhancements such as data encryption and multi-factor authentication, and the integration of these technologies into mobile banking applications. By addressing these challenges, mobile OS not only ensures sustainable economic development but also fosters financial inclusivity and security in an increasingly digital world.    

In today's digital era, operating systems play a crucial role in various technological devices. This paper discusses the optimization and modification of Debian, one of the most stable Linux distributions, to enhance its performance as a real-time operating system (RTOS). The primary objectives of this research are to improve the responsiveness, reliability, and stability of Debian in handling real-time tasks. The study involves modifying the kernel, adjusting scheduling settings, optimizing memory management, and integrating specific real-time software. The results of the tests show that the modified Debian provides lower and more stable task execution latency compared to the standard Debian. Tests were conducted using the cyclictest software to measure system latency and Htop to monitor CPU and memory performance. Additionally, the use of the VLC application as a real-world workload demonstrated that the optimized operating system could handle task priorities more efficiently, allocate resources as needed for real-time demands, and maintain stability under heavy workloads. This research significantly contributes to the development of Debian-based RTOS, which can be applied in fields such as industrial automation, robotics, and IoT devices. The optimizations ensure that the operating system can meet the high-performance and real-time reliability demands of these critical applications.