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Task scheduling in cloud computing environments is a crucial aspect in optimizing resource allocation and improving system efficiency. This research aims to analyze trends in task scheduling algorithms in cloud computing using a Systematic Literature Review (SLR) approach on various scientific publications published between 2018 and 2025. The results of the study show that Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) algorithms are the most commonly used methods in solving task scheduling problems. PSO stands out as an effective algorithm due to its ability to find global optimal solutions, handle non-linear and multimodal problems, and its efficiency in managing computational resources. Additionally, various studies have shown that optimization of scheduling algorithms can be achieved through a combination or modification of existing methods to improve system performance. This study provides in-depth insights into the development of scheduling algorithms in cloud computing and opens up opportunities for further research in developing more innovative and adaptive approaches.

The Indonesian iced tea drink business located on Jalan Karundang, Cipocok Jaya sub-district, Serang City, Banten, is one of the branches of Indonesian iced tea in Bogor. The aim of this research is to analyze operational management at the Serang branch of the Indonesian iced tea business by analyzing the operational management function. This research uses descriptive qualitative methods. Determining informants using purposive sampling. Data collection through semi-structured interviews. Test the validity of the data by source triangulation. The results of the discussion from this research show that the Serang branch of Indonesian iced tea MSMEs has implemented operational management well in accordance with the 3 operational management functions. Conclusion The Serang branch of the Indonesian tea company MSME has planned its operations thoroughly and in depth, including capacity, location, layout, methods and also the quality of raw materials.

Meeting scheduling is a crucial aspect of time and resource management at the DPRD Office of North Sumatra Province. This article aims to analyze and design an efficient and effective meeting scheduling information system. Through a needs analysis approach, this research identifies various challenges faced in the current scheduling process, such as schedule conflicts and lack of transparency. By employing a web-based system design method, it is expected that the resulting system can facilitate coordination among members, enhance efficiency, and simplify information access. The outcomes of this research are anticipated to significantly contribute to improving organizational performance at the DPRD of North Sumatra Province.

The Adolescent Information and Counseling Center (PIK-R) is an integral part of the GenRe program, designed specifically to provide adolescents with guidance and information on topics such as marriage readiness, family roles, the KRR TRIAD, life skills, gender, advocacy, and KIE competencies. Based on the 2019 SKAP data, a substantial number of respondents—predominantly those with lower education levels (60.1%) and those living in rural areas (59.22%)—demonstrated limited knowledge about family planning (75.2%), reproductive health (34.4%), GenRe (81.6%), and Adolescent Family Building (87.9%). Furthermore, 9.8% of adolescents were not receiving any related information. Against this backdrop, a study was conducted in 2024 to examine the effect of the PIK-R program on adolescent reproductive health knowledge, attitudes, and behaviors at SMAN 1 Selesai. This analytical cross-sectional study involved 98 students who met the inclusion criteria, with data analyzed using chi-square tests and binary logistic regression. The results showed that the PIK-R program significantly improved knowledge and behaviors related to adolescent reproductive health but did not affect attitudes. It is recommended that supervisors encourage student participation in PIK-R activities, enhance scheduling to maximize exposure to reproductive health education, and perform comprehensive evaluations of the program's effectiveness.

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.

The main focus of this research is to examine data storage efficiency methods, algorithm scheduling, and resource usage optimization techniques. This research uses literature study methods and simulation experiments to analyze system performance. The research results show that storage management methods based on deduplication and data compression have significant efficiency in reducing storage space requirements. The implications of this research include improving cloud system performance and reducing operational costs.

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.

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.

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.

This research discusses efforts to overcome loading and unloading delays on MV. Ayer Mas, which frequently occur at Nunukan Port. These delays negatively impact operational efficiency and cause losses for the company. The purpose of this research is to identify the factors causing the delays and propose solutions to improve the efficiency of the loading and unloading process. Through interviews with various stakeholders, it was found that delays often occur due to disruptions in the port's operational system and the prioritization of service for other vessels. Additionally, inaccuracies in estimating the arrival and departure times of ships also contribute to the delays. The proposed solutions include implementing a smarter and more efficient work system, improving coordination among related parties, and enforcing discipline in ship scheduling. It is hoped that these findings can enhance efficiency, reliability of port services, and reduce congestion and inefficiencies on the ship and at the port. The results of this research provide practical contributions to port managers and shipping companies in improving operational performance and reducing costs arising from delays.

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.

Calligraphy plays a very important role in the development of Islamic civilization. In the current era of globalization, young people are exposed to a variety of knowledge, cultures, perspectives, and ethics that influence changes within them. This training was conducted with the aim of introducing the art of calligraphy to the students (santri), which they can develop as part of their future careers. The training activities were carried out by members of the field experience practice team, who are students of the Islamic College (Sekolah Tinggi Agama Islam) Jam'iyah Mahmudiyah Tanjung Pura. The activity included planning, implementation, and evaluation. The methods used in this training were lectures, demonstrations, and hands-on practice. The results of this community service activity showed that: (1) The planning stage included initial observation, needs analysis, participant recruitment, and scheduling; (2) The training consisted of a one-time session using lectures, demonstrations, and writing practice; and (3) Evaluation was conducted during the training process, at the end of each session, and at the conclusion of the overall training. The dotted sponge calligraphy training left a unique impression and challenge for the students, fostering enthusiasm. It also brought about positive outcomes, such as helping students to develop calmness and concentration.

A clean, neatly arranged and beautiful environment is something that people really desire. Because it will brings various positive impacts including: increasing the sense of comfort for the community, avoiding potential diseases and contributing to a green environment which brings many benefits. The 5S program is a program that is commonly implemented by many companies. 5S is an extension of (seiri, seiton, seiso, seiketsu, shitsuke) or usually translated as 5R (concise, neat, clean, diligent care). 5S is very suitable to be implemented in society where it is hoped that it will have an impact on creating a green environment. 5S education and workshops are carried out by providing directions along with examples. This application consists of sorting community equipment that is needed and not needed. Seiton explained that all community equipment has its proper place. Seiso by carrying out environmental cleaning is equipped with seiketsu which is routine scheduling, as well as shitsuke whose application is routine checking of the environment together to produce further improvements to the environment