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This research is motivated by the lack of teacher performance in utilizing the Merdeka Mengajar platform application. Therefore, PAI teachers are required to be able to operate the Merdeka Mengajar platform application. This study aims to obtain clear information about: 1) Planning the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai. 2) Steps of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai. 3) Evaluation of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai. The subjects of this research are PAI teachers and the principal of SMP Negeri 5 Jawai. To obtain data related to the research focus, researchers conducted interviews, observations, and documentation. The data validity checking techniques used are: 1) Triangulation technique, 2) Member Check technique. The results of the research can be concluded: 1) Planning the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai is done by preparing activity programs, scheduling, preparing materials based on the Merdeka Mengajar platform application, and evaluating the program implementation. 2) Steps of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai are done by: forming facilitators, analyzing the level of school readiness, designing dimensions to be used, themes, time allocation, and compiling project modules and reporting strategies, introducing and guiding teachers who have not been able to operate the Merdeka Mengajar platform application. 3) Evaluation of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai includes: increased teacher engagement in using various PMM features, improved pedagogical and professional competence of teachers, increased ability of teachers to adopt innovative learning approaches, and a balance between accurate evaluation and realistic workload for teachers.

The working capital of construction work contractors is very influential in expediting the implementation of construction work and being able to meet work time scheduling targets. To gain profits, contractors must be able to manage existing resources. This research aims to determine working capital needs, profits and effectiveness. This type of research uses descriptive qualitative. Research data sources were obtained from secondary data and primary data. Data collection was obtained from library observations, interviews, observations and document studies. The data analysis used is based on the MC (Montly Certificate), Termin (Termyn Payment) and Final (Turnkey Payment) payment systems with several policy options, namely Source of contractor capital, Down payment, and Bank loan. The results of the analysis obtained are, Working capital requirements based on MC with Contractor Capital Resources IDR 3,000,000,000 and profit IDR 2,245,689,086, Down Payment IDR 2,963,637,000 and profit IDR 2,245,689,086, Bank Loan IDR 5,400,000,000 and profit IDR 2,072,889,086. Working capital requirements based on Terms with Contractor Capital Source IDR 3,000,000,000 and profit IDR 2,245,689,086, Down Payment IDR 2,963,637,000 and profit IDR 2,245,689,086, Bank Loan IDR 2,800,000,000 and profit IDR 2,156,089,086 .  Working capital requirements based on End with Contractor Capital Source IDR 3,000,000,000 + Loan IDR 3,600,000,000 and profit IDR 2,130,489,086, Bank Loan IDR 6,550,000,000 and profit IDR 2,036,089,086.  The highest percentage of capital effectiveness and profits is the Termin payment system with the bank loan option, 77%.

The web-based land transportation management system is a modern solution for managing transportation operations by utilizing web technology to facilitate monitoring, scheduling, and optimization of fleet usage. This study aims to analyze the strengths, weaknesses, opportunities, and threats in the implementation of a web-based land transportation management system using SWOT analysis. The results of this study are expected to serve as a guide for companies or transportation management agencies in designing and developing efficient and effective systems. Although there are several challenges, such as dependency on stable internet infrastructure and relatively high implementation costs, the potential benefits, such as increased operational efficiency, cost reduction, and improved customer service quality, make this system highly relevant and have strong prospects for application in the land transportation industry.

This study aims to analyze the implementation of credit risk management in Islamic banking, which is a crucial aspect in maintaining business stability and sustainability. The research focuses on identifying credit risk control strategies, such as supervisory oversight by the board of commissioners, risk management policies, and internal control systems. The research method used is a literature review, examining various sources, including journals, books, and official documents. The article shows that credit risks in Islamic banking arise from customers' failure to meet payment obligations and involve concentration and counterparty risks. Islamic banks apply several strategies to address non-performing loans, such as rescheduling, restructuring, reconditioning, and, when necessary, collateral seizure. The implementation of credit risk management helps banks reduce potential losses and improve operational efficiency. Effective credit risk management enables Islamic banks to mitigate losses and maintain customer trust while adhering to Sharia principles and OJK regulations. With the right strategies, Islamic banks can ensure financial stability and sustain long-term growth..

Time Schedule is used as a guide and control tool for work execution time and productivity of workers, work tools on the project. In terms of productivity control, there are several aspects involved in the monitoring system, such as materials, tools, resources, and scheduling of project activities. Scheduling is the arrangement of resources to complete tasks in achieving targets. by involving components of activities, and time, In order to determine the optimal scheduling and budget. in accordance with time and cost limitations, this study uses the PDM (Precedence Diagram Method) method and the Crashing method through alternative scheduling with the addition of overtime of 1 hour, 2 hours, and 3 hours and knowing the acceleration cost. for each alternative. The results of the acceleration alternative with optimal costs are, alternative 1 adding 1 hour of overtime, the total cost decreased by 0.19% to Rp 3,067,337,201, -. This means that alternative 1 saves costs of Rp 5,984,598, - and is estimated to be one day faster to 119 days.

Scheduling content on social media effectively and efficiently has become an important need for users, especially users who use social media as a tool to help run their business or organization. This research aims to design a user interface for a website-based social media scheduling application using the Rapid Application Development method and Unified Modeling Language (UML). This method was chosen because development can be done quickly through literacy that involves users so that it can fulfill everything needed to create an optimal system. The research stage begins with user interviews, and later this data will be used to develop an initial UI design prototype designed using Figma. UML is used to visualize the design model and also how the system will run later. This system is expected to help make posting social media content easier.

This study examines the effectiveness of hybrid learning for RPL (Recognition of Prior Learning) students at Panca Marga University. Hybrid learning, which combines face-to-face and online instruction, addresses scheduling challenges faced by working students. Using a quantitative approach and survey methods, the study evaluates the impact of hybrid learning on learning flexibility, engagement, and academic outcomes. Results show that hybrid learning enhances flexibility, allows students to balance work and study, and improves learning outcomes by 15% compared to conventional methods. However, challenges such as internet dependence and digital fatigue remain significant. The study highlights the need for technological infrastructure and faculty training to optimize hybrid learning implementation.  

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

This research aims to design an information system for scheduling incoming and outgoing letters at the Asahan District Education Office. Currently, the process of managing letters is still done manually by writing them into a ledger which is inefficient in terms of time and energy. This research uses qualitative methods with data collection techniques through observation, interviews and literature study. The system was designed using the PHP programming language and Unified Modeling Language (UML) for system modeling. The research results show that the designed information system can provide a solution to the problem of managing letters manually by making the data management process easier and faster. This system includes incoming and outgoing mail management features, user management, and report generation, which can improve employee performance in mail administration tasks.

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.

Noise in educational environments can affect the effectiveness of teaching and learning processes. This study aims to analyze the impact of traffic noise on teaching and learning activities in Building V of Semarang University, located along the Soekarno-Hatta arterial road. The research method uses a qualitative descriptive approach by measuring noise levels using a Sound Level Meter on six floors of the building. Measurements were taken during active lecture hours with time intervals of 3 x 30 minutes. The results showed that noise levels on floors 1 to 3 were above the educational environment quality standard of 55 dB according to KepMenLH No. 48 of 1996. Meanwhile, on the 6th floor, the noise level averaged around 55 dB. Excessive noise makes it difficult for students to hear lecturers' explanations, reduces their ability to capture information, and decreases learning material retention. To address these issues, sound insulation installation, spatial planning improvements by designing room layouts farther from noise sources, vegetation planting, and lecture rescheduling to avoid peak traffic times are necessary.

The development of information technology has encouraged various educational institutions to switch from manual systems to more efficient and integrated digital systems. One important activity in school management is the process of scheduling teachers' lessons, which often takes a long time and has the potential to cause scheduling conflicts when done manually. Common problems that often arise include conflicts between teachers' teaching hours, incompatibility of classroom availability, and difficulties in adjusting schedules to teachers' preferences. Therefore, this study aims to design and develop a web-based teacher scheduling information system by applying the Greedy algorithm method as a solution to optimize automatic schedule compilation. This system was developed using the PHP programming language and MySQL database with a Waterfall development model approach. The implementation results show that the system is capable of producing teaching schedules quickly, accurately, and with minimal time conflicts. Thus, the application of the Greedy algorithm has proven to be effective in improving efficiency, accuracy, and flexibility in managing teacher schedules in a school environment.

The scheduling and resource allocation procedure is an essential component of cloud resource management. Effective resource allocation is severely hampered by the task arrival rates' erratic and unclear behavior. To prevent under or overusing resources, an effective scheduling strategy is necessary. To improve scheduling and allocation performance, a multi-objective optimization technique is presented for the best resource allocation and task scheduling inside scientific workflow datasets in a heterogeneous environment. In the first stage, the system calculates four key metrics: Communication Cost, Computation Cost, Earliest Finished Time on a particular VM, and Total Task Length for a specific scientific workflow dataset. These metrics provide a comprehensive understanding of the resource requirements and help make informed scheduling decisions. In the second stage, tasks are clustered using the K-Means clustering algorithm. This clustering groups similar tasks together, making managing and scheduling them easier. In the third stage, the proposed resource allocation algorithm allocates the clustered tasks to the appropriate VMs. This step ensures that the tasks are assigned to the best-suited resources, optimizing the overall system performance and resource utilization. By following this multi-stage process, the system aims to achieve optimal resource allocation and task scheduling, thereby improving the efficiency and effectiveness of cloud resource management. The proposed method significantly outperforms PSO, CSO, and GWO by consistently achieving lower Makespan—under 400 units at 50 tasks—while maintaining high resource utilization rates above 0.75, demonstrating superior efficiency in task execution and resource management.

Project management is managing projects by considering all aspects of construction projects. A project must run according to plan and can be completed on time, so planning is needed before a project runs; scheduling must be considered. Scheduling is an important step in determining the exact duration and sequence for each activity in the project to create a logically structured schedule that can be implemented realistically. Many methods can be applied in project scheduling, such as S Curve and CPM (Critical Path Method). The use of different scheduling methods is considered to affect the final result of scheduling. Therefore, it is necessary to analyze the two methods. The analysis was carried out by comparing the critical trajectory, duration, and cost of structural work on the Kediri Regency Stadium Design and Build Project produced by the two methods so that it can be concluded which method is more efficient. The results showed differences in critical trajectories in the S curve and the CPM methods. In addition, the difference in duration is obtained; the S curve method requires a work duration of 140 days with a cost of Rp 48,041,965,577.96. Meanwhile, the CPM method requires a work duration of 131 days at a cost of Rp 47,535,997,308.05. Based on the results, the CPM method is superior in terms of time and cost.

The development of health information systems (GIS) is important in this digital era to improve patient data management and provide better care. This research aims to develop a SIK that can help health service providers manage patient data more efficiently and improve care coordination. Development steps include requirements analysis, system design, implementation, and performance evaluation. The developed system has features such as recording patient medical history, scheduling appointments, monitoring health conditions, and communication between health care providers. The evaluation results show that the developed SIK succeeded in increasing efficiency in patient data management and care coordination. Healthcare providers can easily access patient information, plan more coordinated care, and communicate effectively with colleagues. Thus, the development of this SIK is expected to make a significant contribution to improving the quality of health services and patient outcomes through better data management and more coordinated care.

This research aims to analyze the scheduling of the fiber optic network construction project in Lemo-Lemo, Bulukumba, using the Critical Path Method (CPM). This method was chosen to improve time and cost efficiency in project implementation. Research data were obtained through field observations, literature studies, and interviews with related parties. Analysis was carried out by mapping project activities, estimating duration, and calculating resource requirements and project costs. The results showed that the application of the CPM method was able to accelerate project completion from the initial estimate of 40 days to 21 days, with time savings of 19 days. In addition, the project cost which was initially estimated at Rp. 38,386,680 was successfully reduced to Rp. 37,000,000, resulting in a savings of Rp. 1,386,680. In conclusion, the CPM method proved to be effective in improving time and cost efficiency in fiber optic network construction projects. Therefore, it is recommended that this method be applied consistently in similar projects in the future.

Software testing is one of the aspects in software design methodology. The author conducted research by taking a case study on the inventory stock information system in a goods delivery service business. The testing technique for this information system uses the black box testing method, with the Equivalence Partitioning technique. From the testing results, the author found irregularities in the database and conducted a more in-depth analysis of the class diagram. The diversity of software types suggests the importance of flexibility and improvisation during software testing, such as determining the appropriate test cases, selecting the appropriate testing methods, and determining the suitable testing environment. Software testing should also consider the effectiveness of resources, project scheduling and deadlines, user/client requests, the availability of testing infrastructure, and other parameters that may be more complex.  

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.    

This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.

PT Swadaya Graha is a company that works in the field of construction, fabrication and steel manufacturing. One of the machines used in carrying out its operational activities is the Baoji 1660A lathe. The lathe often fails during the production process. This study aims to determine critical components, critical component reliability values, maintenance scheduling intervals and maintenance cost estimates of the Baoji 1660A lathe using the Reliability Centered Maintenance (RCM) method. The results of this study show that the electrical system with an RPN value of 240, v-belt with an RPN value of 168, and gearbox with an RPN value of 60 as critical components. The reliability value of the electrical system approaches 0.5 at a time interval of 640 hours or 80 working days, the reliability value of the v-belt approaches 0.5 at a time interval of 208 hours or 26 working days, and the reliability value of the gearbox approaches 0.5 at a time interval of 384 hours or 48 working days. From the scheduling interval, the estimated total maintenance cost in 2025 is IDR 7,019,092, in 2026 is IDR 3,615,386, in 2027 is IDR 4,187,484, in 2028 is IDR 4,276,752, and in 2029 is IDR 3,615,386.