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The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

This study aims to analyzei thei peirformancei and contributing factors to thei failurei of thei digital-baseid Civil Seirvant Manageimeint Information Sisteim (SIKILAT) adoption at thei Jambi Provincei Human Reisourceis Deiveilopmeimnt Ageincy (BPSDM) using a Teichnology, Organization, and EInvironmeint (TOEI) peirspeictivei. Thei study eimployeid a qualitativei, deiscriptivei approach. Thei reisults indicatei that SIKILAT impleimeintation is suboptimal and unsustainablei. From a teichnological peirspeictivei, obstacleis includei lack of minteinancei, limiteid systeim quality, and complicateid usability. From an organizational peirspeiktivei, thei lack of mandatory policieis and low useir compeiteincy and participation arei keiy obstacleis. Meianwhilei, from an einvironmeintal peirspeictivei thei lack of reigulations and eixteirnal preissureis havei leid to thei systeim’s deiclinei as a priority.

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

Mr. Ujang Cracker Factory, located in Pakiskembar Village, Pakis District, Malang Regency, is one of the UMKM that produces crackers. Most of the machines used in cracker processing at Mr. Ujang Cracker Factory still use a simple mechanical system. One of these machines is a cracker molding machine, where the speed is still adjusted manually by replacing the pulley. This study aims to recondition the cracker molding machine by adding a control panel in the form of a VSD inverter with the aim of facilitating the speed control process in operating the cracker molding machine. This study was conducted by analyzing the consistency of the influence of frequency and pulley diameter variations on the speed of the electric motor and mechanical movements in the cracker molding machine. The results of the study show that the frequency of the VSD inverter and the pulley diameter have a significant effect on the entire mechanism of the cracker printing machine. Based on the standard deviation value, the consistency of the pressing movement speed was obtained at a frequency of 40 Hz with a pulley diameter of 2 inches. From this study, it can be concluded that the overall frequency of the VSD inverter is the main parameter in determining the speed and stability of the cracker printing machine. Meanwhile, the variation in pulley diameter only serves as an additional mechanical adjustment to increase or decrease the output speed from the electric motor to the mechanical movement of the cracker printing machine.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

This study aims to simulate the M/M/1 queueing system using Python through a Modeling and Simulation approach supported by the Discrete-Event Simulation (DES) method. The objective of the research is to analyze key performance indicators of queueing behavior, including arrival time, service time, waiting time, queue length, and server utilization. The methodology employs DES, which models system behavior based on discrete events such as customer arrivals, service initiation, and service completion. The simulation generates stochastic arrival and service times using Poisson and exponential distributions, respectively. The results indicate that the DES-based M/M/1 simulation accurately reflects theoretical queueing behavior, showing increases in waiting times and queue lengths when arrival rates approach service rates, while server utilization corresponds to system load intensity. The findings demonstrate that DES is an effective approach for analyzing queue performance and can be extended to more complex models such as multi-server systems, priority queues, and predictive simulations using artificial intelligence.

The advancement of digital technology has had a significant impact on broadcasting production systems, including at Radio Republik Indonesia (RRI) Banten. This study aims to examine the performance of the vMix Pro application in improving production efficiency and the quality of digital broadcast programs at RRI Banten. The research employed a descriptive qualitative method, with data collected through field observations, interviews with broadcast technicians, and literature studies. The results indicate that the implementation of vMix Pro increased production time efficiency by 50%, reduced operational costs by 40%, and decreased the number of required technical operators from five to three. In terms of quality, both video and audio outputs showed improvement, achieving an average score above 4.6 on a 5-point scale, reflecting more stable, clear, and professional broadcasts. With its user-friendly interface and high device integration capability, vMix Pro has proven effective in streamlining workflows, optimizing resource utilization, and enhancing the overall production quality of broadcasts at RRI Banten

The limitation of physical memory (RAM) is a primary constraint hindering optimal performance in modern operating systems, especially when running large applications or performing intensive multitasking, often resulting in crashes and high latency. This research aims to quantitatively analyze the effectiveness of Virtual Memory (VM) implementation as a solution to this RAM constraint on the Windows 10 operating system, focusing on VM’s impact on CPU performance, GPU performance, and multitasking response. The methodology employed is a controlled experiment using industry-standard benchmarks: Cinebench R20 (CPU), Unigine Heaven (GPU), and response time measurements in intensive multitasking scenarios. Experimental results demonstrate that VM activation improves CPU/GPU performance by up to 5% and accelerates multitasking response time by up to 15%, confirming VM's effectiveness in mitigating memory bottlenecks. Nevertheless, this study also identifies potential performance overhead stemming from excessive paging and swapping processes, which trigger the phenomenon of Thrashing. Therefore, the research recommends a dual optimization strategy to achieve maximum and stable performance: software optimization via the Least Recently Used (LRU) algorithm to suppress page faults, supported by hardware optimization including the use of an SSD for the swap file and increased RAM capacity.

The purpose of this study is to develop an additional device for vehicles with fuel injection systems to improve fuel consumption efficiency and reduce exhaust emissions, even for older vehicles. The turbocyclone is an auxiliary component installed in the air intake duct before the throttle body to create a swirling airflow entering the combustion chamber. Testing was conducted at engine speeds ranging from 1500 rpm to 6500 rpm, with increments of 1000 rpm. This research aims to minimize fuel consumption and exhaust gas emissions. The experimental method was used, testing exhaust gas contents such as HC, CO, CO₂, and O₂ using a gas analyzer, and measuring fuel consumption based on fuel volume and time. Data processing employed a factorial DOE (Design of Experiments) to analyze results. The dependent variables were exhaust gas emissions and fuel consumption, while the independent variable was the turbocyclone blade angle variations of 20°, 40°, and 60°. The results show that the best reduction in exhaust emissions (HC, CO, CO₂, and O₂) and fuel efficiency occurred at a 40° blade angle, whereas fuel consumption increased at a 60° blade angle.

Employee performance appraisal is a crucial aspect of human resource management and development, as the evaluation results serve as the basis for managerial decision-making, including promotions, incentives, and career development. However, unstructured assessment sistems often hinder the objectivity, transparency, and accuracy of performance evaluations. This study aims to design and develop a web-based Decision Support Sistem (DSS) to assess the performance of Biller employees at the ULP PLN Kuala office by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS was selected because it effectively addresses multi-criteria decision-making problems by comparing each alternative to both positive and negative ideal solutions. The evaluation criteria include invoice achievement, account return balance, and PAL balance. The sistem was developed using PHP as the programming language and MySQL as the database, ensuring integration and accessibility. The test results indicate that the sistem is capable of providing employee rankings in an objective and measurable manner. Based on the calculation, Tri Widodo achieved the highest score (0.8027), demonstrating the best performance among the evaluated employees. The implementation of this TOPSIS-based DSS makes the performance appraisal process more sistematic, efficient, transparent, and accurate, thereby contributing to the improvement of human resource management quality within the organization.  

The Population and Civil Registration Office of Situbondo Regency faces challenges in improving the efficiency of recording and reporting the performance of Non-ASN employees, which has so far been conducted through temporary notes and documents. This approach is prone to delays, input errors, and suboptimal data management. To address this issue, this study aims to design a web-based information system capable of recording, managing, and displaying Non-ASN employee performance reports in a structured and real-time manner. The system is developed using PHP programming language and MySQL database to support dynamic and integrated data management. The system development follows the V-Model approach, which emphasizes verification and validation at each development stage, including requirement analysis, system design, module design, implementation, unit and integration testing, and maintenance. The result of this study is an information system that facilitates performance data entry, accelerates report generation, and improves accuracy and transparency in evaluating Non-ASN employee performance. In addition, the system is designed with a responsive web interface that is easy for stakeholders to use.

The management of incoming and outgoing mail at the Situbondo Technical Implementation Unit (UPT BLK) plays a crucial role in supporting the effectiveness of administrative activities. Currently, the process of recording letters is carried out manually using an agenda book, which is considered inefficient, makes searching for archives difficult, and takes a long time. These problems encourage the implementation of an information system that can facilitate faster, more structured, and more accurate processing of letter data. This study proposes the development of a computer-based information system using the waterfall method in the Software Development Life Cycle (SDLC). The data collection process is carried out through direct observation and interviews with administrative staff, so that system requirements can be clearly identified. The results of this study are an information system design with a simple, user-friendly, and easy-to-operate interface, so that employees can quickly understand the flow of use. The system developed allows the process of recording, archiving, and tracking letters to be more organized, practical, and efficient compared to previous manual methods. In addition, this system is also able to reduce the potential for human error in recording and accelerate the presentation of information when needed for administrative purposes and decision-making. Other advantages offered are easy data access and the availability of reliable, accurate, and timely information. With this system, administrative performance at the Situbondo Technical Implementation Unit (UPT BLK) is expected to significantly improve, both in terms of time efficiency, service speed, and orderliness in managing documents.

Employee performance appraisal is an important process in human resource management that aims to evaluate individual work achievements based on certain criteria set by the organization. This process not only serves to assess the extent to which an employee meets work standards, but also serves as a basis for strategic decision-making, such as job promotions, bonus awards, and career development planning. However, in practice, CV. Surya Perkasa Makassar faces serious obstacles in the form of subjectivity in the assessment process, because the benchmarks used still tend to be based on the likes or dislikes of superiors. This causes the evaluation results to be less objective, inconsistent, and potentially reduce employee work motivation. To overcome these problems, this study aims to develop a decision support system for employee performance appraisal using the Tsukamoto Fuzzy Logic method. This method was chosen because it is able to accommodate uncertainty in the assessment, resulting in more objective, measurable, and consistent decisions. This study uses a Research and Development (R&D) approach with a Black Box Testing method to ensure system functionality. The assessment criteria used include five main aspects, namely work quality, work quantity, discipline, responsibility, and cooperation. Data from these criteria is processed through fuzzification, inference, and defuzzification stages to obtain the final employee performance score. Test results indicate that all system features function as expected. The system is able to prevent data duplication, validate input, and produce accurate final performance scores. The implementation of the Tsukamoto Fuzzy Logic method has proven effective in reducing the level of subjectivity that typically occurs in manual assessments. Therefore, this system can be used as a reliable tool in managerial decision-making, both regarding promotions, bonus awards, and planning employee future career development.  

Human Resource Management (HRM) plays a strategic role in improving organizational competitiveness through proper management of employee placement, training, and performance evaluation. To support the achievement of these goals, a predictive model is needed that can provide an accurate picture of employee performance. This study utilizes a Human Resource Management (HRM) dataset of 1,200 data and applies several classification algorithms to compare their effectiveness, namely J48 or C4.5, Random Forest, Naive Bayes, K-Nearest Neighbor (KNN), Logistic Regression, and Support Vector Machine (SVM). To obtain more optimal results, this study uses resampling techniques and attribute selection methods with a correlation attribute eval approach, so that class distribution can be more balanced and model accuracy increases. From the test results, the Decision Tree J48 algorithm showed the best performance with an accuracy level reaching 95.41%, a kappa value of 0.8925, a mean absolute error (MAE) of 0.0432, a precision of 0.955, a recall of 0.954, and an area under the ROC curve of 0.964. These findings indicate that J48 has excellent predictive capabilities compared to other algorithms. Furthermore, this study also found that the most influential variables in determining employee performance include the percentage of the last salary increase (EmpLast Salary Hike Percent), the level of work environment satisfaction (Emp Environment Satisfaction), the length of time since the last promotion (Years Since Last Promotion), and experience in the current role (Experience Years in Current Role). Overall, the results of the study indicate that the C4.5 algorithm with the application of the resampling technique can be an optimal solution in building an employee performance prediction system. Thus, this model has the potential to be a strong basis for managerial decision-making, particularly in designing HR development strategies and policies to improve organizational performance.

Wireless networks have become an important part of modern communication infrastructure. However, their performance is often influenced by various environmental factors, including extreme weather conditions. This study aims to analyze the impact of various weather conditions such as heavy rain, high humidity, and extreme temperatures on the stability and quality of wireless networks. The method used is a quantitative approach with data collection of network performance under various weather conditions over a certain period of time. The parameters analyzed include latency, jitter, throughput, and packet loss rate. Initial results show that extreme weather, particularly heavy rain and high humidity, can lead to a significant decrease in network connection stability. These findings are expected to contribute to the planning and optimization of network systems, especially in areas with unpredictable climates.

Employee performance represents the ability to fulfill tasks and responsibilities according to organizational standards. At UPTD Puskesmas Kosambi, the evaluation of Non-Civil Servant (Non-ASN) healthcare workers is still done manually and tends to be subjective, primarily based on attendance. This study aims to address the issue by developing a decision support system using the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method. A descriptive-applied approach and the waterfall development model were employed. Five evaluation criteria were used: attendance (25%), service quality (35%), report timeliness (20%), patient complaints (10%), and lateness (10%). Data from 20 Non-ASN healthcare workers in April 2025 were analyzed, with Anis Julianti achieving the highest MOORA score of 0.3839. The system underwent validation through black-box testing and user acceptance testing (UAT), both confirming its accuracy and usability. The findings were compared with previous studies. Harningsih et al. (2024) used the MOORA method for promotion evaluations at the North Sumatra Provincial Inspectorate Office and recorded a top score of 0.3616. Dewi Yohana br Ginting et al. (2024) applied the method at a beauty clinic and found a top score of 0.3747. These comparisons indicate that the MOORA results in this study fall within a consistent and valid range. The developed decision support system is expected to enhance the objectivity, transparency, and accountability of performance evaluations for Non-ASN employees in primary healthcare services, offering a more comprehensive alternative to manual assessment methods.

An effective project management system is a crucial need in software development and other IT projects. This study aims to design and evaluate a web-based project management information system with integration of collaboration, scheduling, and reporting features based on real-time data. This study adopts a combined approach from three previous studies, namely a NodeJS-based collaboration system, a CodeIgniter project management system, and a PERT-based evaluation approach. The implementation results show increased teamwork efficiency, reporting accuracy, and managerial ability to anticipate project obstacles. This system is suitable for application in various scales of IT projects.

This systematic literature review examines queue system simulation in hospitals across four key service areas: emergency departments, outpatient clinics, laboratories, and pharmacies. Following PRISMA methodology, 72 relevant studies (2015-2020) were analyzed to identify simulation models, software tools, performance parameters, and emerging trends. Findings reveal Discrete-Event Simulation dominance (59.7%), with increasing hybrid model adoption integrating System Dynamics and Agent-Based approaches. Emergency departments remain the primary application focus (52.8%), while Arena and AnyLogic emerged as predominant simulation platforms. Patient waiting time (91.7%) and resource utilization (77.8%) constitute the most evaluated performance metrics. Technological convergence trends demonstrate integration of real-time data analytics, machine learning, and digital twin concepts into traditional simulation frameworks. This review contributes methodological insights for optimizing hospital queueing systems while identifying research gaps in cross-departmental model interoperability and comprehensive value-based performance evaluation within contemporary healthcare systems.