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The Watu Kawula Health Center is one of the first level health service facilities that has an important role in providing health services to the community. However, in the implementation of administration, various obstacles are still found such as manual patient data recording, slow service data collection process, and difficulties in reporting and searching data. To overcome these problems, a computerized administrative information system is needed to improve efficiency and accuracy in data management.This research aims to design and build an integrated administrative information system at the Watu Kawula Health Center. The system development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The system is designed using the MySQL database and PHP programming language, and is accessed through a web-based interface.The results of the development of the system show that this administrative information system is able to speed up the process of recording patient data, medical services, and making routine reports. In addition, the system also makes it easier for administrative officers to manage information in a structured and systematic manner. With this system, it is hoped that administrative services at the Watu Kawula Health Center can run more effectively and efficiently.

This research, entitled “Implementation of a Web-Based Student Tuition Payment Information System at SMA Swasta Manda Elu,” aims to improve the efficiency of recording and managing students’ tuition fee payments. Previously, the tuition payment process was handled manually, which often led to recording errors, delays in reporting, and difficulties in retrieving student payment data. To address these issues, a web-based information system was developed to assist the school administration in recording, reporting, and monitoring tuition payments more effectively and efficiently. The development method used in this study is the Model View Controller (MVC) approach, which separates the system’s view, logic, and database layers to simplify system management and maintenance. The final result of this research is a web-based tuition payment application that runs properly, provides convenience for school administrative staff in recording transactions, and enhances the accuracy and speed of the school’s financial administration process at SMA Swasta Manda Elu.

The DC motor serves as the main drive of the vessel and is equipped with a rotary encoder that functions to regulate the movement of the sensor in measuring sediment levels. This rotary encoder is also used to monitor and represent the rotational speed of the DC motor. System testing was carried out by implementing a Fuzzy Logic Controller (FLC) algorithm to control the DC motor speed in moving the vessel, ensuring stable motion. This fuzzy logic–based approach is expected to improve accuracy and efficiency in sediment volume calculations, while also reducing potential errors that commonly occur in manual methods. Simulating motor speed control using the fuzzy logic algorithm in MATLAB, the best test results were achieved over several trials, with a rise time of 376.310 ms and an overshoot of 83.33%. Motor speed measurements using both a tachometer and Arduino produced consistent results, with an average relative error of 0.18%.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.

The increasingly rapid use of information technology is now an important need for various sectors of people's lives. The various conveniences offered, such as speed and accuracy in data processing, make information technology difficult to separate from daily life, especially in the world of education. At SMP Negeri 1 Tanarighu, the processing of student payment data is still carried out conventionally, which risks causing errors in data processing. Therefore, it is very necessary to have an information system that can process student payment data centrally and integrated. This information system is expected to reduce human error and increase efficiency in the administrative process. The Scrum method, known for its ability to manage projects with limited time and dynamic needs, is very appropriate to apply in the design of this information system. By using the Scrum method, the process of creating information systems can be carried out faster and more flexibly, adjusting to evolving needs, and ensuring more accurate and efficient data management at SMP Negeri 1 Tanarighu.

Kidney trauma is a relatively common urological injury, often resulting from high-speed motor vehicle accidents, falls, or violent incidents. The kidneys are vulnerable to both blunt and penetrating trauma, with blunt mechanisms accounting for approximately 90% of all renal injuries. This paper reviews the anatomy of the kidney, mechanisms of injury, classification according to the American Association for the Surgery of Trauma (AAST), diagnostic evaluation, imaging modalities, and current management strategies. Most renal traumas are managed conservatively based on hemodynamic stability, while surgical exploration is indicated in severe or vascular injuries. Understanding the mechanism of injury and applying appropriate diagnostic evaluations are essential to determine the correct management approach and improve patient outcomes. Moreover, advancements in imaging techniques, such as CT scans, have significantly improved the accuracy of diagnosing renal injuries. Early intervention and appropriate monitoring are crucial in preventing complications such as hemorrhage or renal failure. This review aims to provide a comprehensive overview of renal trauma management to aid clinicians in improving patient care and optimizing recovery.

This study is a literature review that examines the role of QRIS as a payment gateway in improving the efficiency of Accounting Information Systems (AIS) in MSMEs. Digital transformation in payment systems is key to speeding up, enhancing accuracy, and securing transaction records. QRIS provides a practical solution by integrating various non-cash payment methods into one system, enabling automated real-time recording and faster financial reporting. A review of ten studies shows QRIS helps speed up recording, ease reconciliation, reduce input errors, and serve as a strategic tool for AIS digitalization in the digital economy era.

This study aims to determine and analyze employee performance in improving services at the Population and Civil Registration Office of Gorontalo City. Viewed from the following aspects: (1) Performance Quality, (2) Punctuality, (3) Initiative, (4) Ability, and (5) Communication. This research method uses a Qualitative Approach with a Descriptive type. Data collection techniques used in this study are observation, interviews, and documentation. The results of the study indicate that employee performance is generally good, as seen from the existence of friendly, clear service, and the use of technology to support the administrative process. However, there are still several obstacles, especially related to limited service infrastructure and network disruptions that hinder the speed of service. From the aspect of performance quality, employees have attempted to provide services according to standards, although document errors are still found due to the lack of accuracy from the public in completing files. The timeliness of service is relatively optimal, supported by the implementation of a maximum service standard of 24 hours. From the initiative side, employees have been quite responsive to public complaints. Employees' ability to operate service applications is good. Meanwhile, the communication aspect has been running effectively through the delivery of information that is easy to understand, a persuasive attitude, and the use of supporting media such as pamphlets and banners.

The Info BMKG application is a digital platform developed by the Meteorology, Climatology, and Geophysics Agency (BMKG) to provide information on weather, earthquakes, air quality, and early disaster warnings. This application is expected to enhance public preparedness in facing potential natural disasters. However, in its implementation, the Info BMKG application still encounters several issues, one of which is delays in delivering weather and disaster information. This study aims to analyze the effectiveness of the Info BMKG application in providing weather and disaster information. The research applies Budiani's (2007) theory, using four indicators: Program Target Accuracy, Program Socialization, Program Objectives, and Program Monitoring. This study employs a qualitative descriptive method with data collection through interviews, observations, and documentation. The findings indicate that the Info BMKG application has made a significant contribution to supporting public preparedness for disasters. While the application is relatively effective in providing weather and disaster information in North Jakarta, further development is still needed. Improvements in information accuracy, notification speed, and enhanced public socialization will help improve the quality of the application’s services in the future.

The braking system was a crucial component in ensuring the safety of motor vehicles on the road. Brake failures, such as brake fade or total malfunction, could result in fatal accidents. Therefore, an accurate and realistic testing method was necessary to measure the effectiveness of a vehicle’s braking system. This study aimed to develop a deceleration measuring device based on GPS, which could be used in road test methods. The device was designed using an ESP32 microcontroller combined with a BN-220 GPS module, RTC real-time clock sensor, 16x2 LCD, thermal printer, and microSD storage media. Testing was conducted on a Mitsubishi L300 vehicle at the Depok Beach runway in Yogyakarta, with initial speed variations ranging from 10 to 80 km/h. Calibration results showed that the device had an accuracy of 99.64% with an average error of 0.36%. Meanwhile, the test results recorded deceleration values ranging from 0.74 to 3.26 m/s², depending on the initial speed and braking conditions. Based on these findings, the developed device proved to be accurate and feasible as an alternative method for field testing of braking systems.

Disc discs are the main component in a motorcycle braking system that functions to convert kinetic energy into heat energy through friction. The geometric design of the disc, including the diameter and number of holes, affects the effectiveness of braking as well as the heat dissipation ability. This study aims to analyze the effect of variations in diameter and number of holes on disc discs on braking distance and disc temperature. The research method used was an experimental method with three variations in disc diameter (190 mm, 220 mm, and 260 mm) and three variations in the number of holes (30, 36, and 42 holes). The test was carried out through a controlled braking procedure at an initial speed of 40 km/h on flat road surfaces with stable weather conditions. Braking distance data is measured using ultrasonic sensors, while disc temperature is recorded with a high-accuracy infrared thermometer. The results showed that the diameter of the disc disc had the most significant influence on the braking distance. The larger the diameter, the greater the braking moment resulting so that the stopping distance becomes shorter. The number of holes in the disc also plays a role in heat dissipation because the holes enlarge the heat dissipation area. However, the increase in the number of holes tends to slightly increase the braking distance due to a reduction in the area of frictional contact field. The most optimal configuration is found on a 260 mm diameter disc with 42 holes, which results in the shortest braking distance of 8.25 meters and the lowest temperature rise of 4.47°C.  Statistical analysis using Two-Way ANOVA confirmed that the diameter and number of holes had a significant effect individually, but there was no significant interaction between the two. These findings confirm that the selection of the right disc dimensions is critical to improving braking performance, thermal efficiency, and rider safety.

Modern industries require automation to enhance operational efficiency and productivity. This study designs and implements an automatic sorting system based on the Internet of Things (IoT) using a mini conveyor, ESP32 microcontroller, TCS3200 color sensor, servo motor, and the Blynk application. The system is designed to accurately detect object colors, sort objects based on color, and enable remote monitoring and control via mobile devices. Testing results indicate that the system can detect and sort objects with a high level of accuracy, although some errors occur due to changes in lighting conditions. The conveyor speed is consistently recorded at 0.335 m/s, while the system's response time, including color detection, servo movement, and application updates, operates within an optimal range. The Blynk application enhances the flexibility of real-time system control. This study demonstrates that IoT-based sorting systems can serve as an efficient solution to support industrial automation. Further development is recommended to improve color detection accuracy and expand the system's application in more complex industrial scenarios.

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

The Family Hope Program (PKH) is a conditional social assistance program provided by the government to improve the quality of life of underprivileged families through support in the education, health, and social welfare sectors. In its implementation, the process of determining PKH candidate recipients at the West Sumba Regency Social Service often experiences obstacles, especially with regard to objectivity, accuracy of targets, and limitations in complex data management. Thus, a decision support system (SPK) is needed that can assist the agency in selecting prospective recipients more effectively, efficiently, and on target. This study proposes the application of the Naive Bayes method in the development of SPK to determine PKH recipients. The Naive Bayes method was chosen because of its ability to classify data based on probability, and it can handle large volumes of data with a good degree of accuracy. The criteria applied in the classification include the level of household income, the number of members covered, the state of residence, the education of children, and the health of family members. The research process includes needs analysis, system design, data collection, application of Naive Bayes algorithms, and system testing. The findings of the study show that SPK based on Naive Bayes can provide recommendations for PKH recipients with better accuracy compared to manual methods. In addition, the system is able to improve transparency, fairness, and speed in the recipient selection procedure. With this system, it is hoped that the distribution of PKH in West Sumba Regency can be more orderly, balanced, and on target in accordance with the goals of government programs.

This study aims to analyze the influence of service quality, price, and store atmosphere on consumer purchasing decisions at the Rocket Chicken branch in Ngronggo, Kediri City. These three variables were chosen because they are considered to play an important role in influencing consumer behavior, particularly in the context of the increasingly competitive fast food industry. Service quality includes aspects of friendliness, speed, and accuracy of service provided by employees to customers. Price is considered in terms of affordability, suitability with product quality, and competitiveness compared to competitors. Meanwhile, store atmosphere includes cleanliness, lighting, layout, comfort, and the overall ambiance perceived by consumers when they are in the outlet. The research method used is quantitative with a survey approach. Data was obtained through the distribution of closed questionnaires to 130 respondents who are active consumers of Rocket Chicken at the research location. The data analysis technique used is multiple linear regression with the help of the latest version of SPSS software, in order to determine the extent of the influence of each independent variable on the dependent variable, namely purchasing decisions.The research results indicate that service quality, price, and store atmosphere significantly influence consumer purchasing decisions, both partially and simultaneously. These findings provide important implications for Rocket Chicken's management to pay more attention to these factors in formulating marketing strategies and operational management, in order to enhance customer satisfaction, loyalty, and appeal in the future.

The purpose of this investigation is to analyze the influence of digital transaction methods on the control mechanisms of cash revenue at the Grand Hyatt Bali Hotel. The study applies a qualitative descriptive design, where information is gathered through interviews, field observations, and the review of supporting documents, including transcripts of discussions. The findings reveal that digital payments at the Grand Hyatt Bali provide convenience to guests in conducting transactions such as transaction speed, recording accuracy, and ease in the verification process. However, the use of digital payments also has a negative impact where digital cash receipts are recorded in the accounts receivable section requiring many supporting documents making it appear less optimal and less functional and highly dependent on the availability and stability of the internet network connection. From an internal control perspective, digital payments help improve transparency and accuracy in cash recording processes. The risk of miscalculations or data manipulation is reduced because transaction evidence is readily available digitally, in the form of sales slips, system notifications, and account statements. The mechanism of internal supervision regarding cash inflows at Grand Hyatt Bali Hotel based on COSO consists of several components, namely the organizational climate, monitoring practices, hazard analysis, exchange of insights and knowledge, and supervision. Overall, the implementation of internal controls has been carried out by all staff, however, the implementation is still not optimal related to the collection of documents that are still late, this is caused by staff knowledge about the documents required when digital payments are still not executed according to the procedures outlined in the SOP.

This study aims to evaluate and identify the obstacles faced and provide recommendations for improvements to the satisfaction of Electronic Medical Records (EMR) users at Duta Indah Hospital using the End User Computing Satisfaction (EUCS) method. At Duta Indah Hospital the EMR system used is Medinfras. EUCS is used to measure user satisfaction with the application system by comparing user expectations with the reality experienced. This evaluation examines seven variables: content, display (format), accuracy, ease of use, timeliness, speed, and flexibility. This research method uses descriptive quantitative with 63 respondents selected as samples. Data were collected through an online questionnaire, processed using Microsoft Excel 2016 software and analyzed using SPSS Version 25 software with a Likert scale to measure the level of satisfaction. The results showed that the majority of users felt "quite satisfied" with all variables, namely: content (57%), display (57%), timeliness (59%), speed (58%), flexibility (56%), accuracy (54%) and ease of use (54%). In conclusion, the RME system is considered quite adequate in supporting user performance, with accurate information, easy-to-understand displays, and efficiency in time and flexibility. The suggestion for the hospital is to conduct an evaluation, improve the appearance of the system menu so that users can access the system more easily and improve regular system maintenance.

Conventional robotic surgical systems, while offering enhanced dexterity and 3D visualization, suffer from a critical limitation: the absence of tactile sensation. This sensory disconnect can lead to inadvertent tissue damage from excessive force application and complicates delicate maneuvers that rely on the surgeon's sense of touch. This research proposes and validates a novel surgical robotic system architecture designed to bridge this sensory gap by integrating high-fidelity 3D visual input with accurate, real-time force feedback from tactile sensors mounted on the end-effector. To rigorously evaluate this innovation, a structured comparative methodology was employed. A cohort of surgeons performed standardized surgical tasks, including suturing and tissue manipulation, on realistic soft-tissue phantoms. The performance of a conventional (visual-only) system was benchmarked against that of the proposed (visual-haptic) system. A comprehensive dataset was collected, which included objective metrics such as task completion time, precision deviation from the ideal tool path, and the magnitude of applied forces. Concurrently, subjective evaluations from the participating surgeons were gathered to assess perceived control, cognitive workload, and overall task confidence. The test data revealed statistically significant improvements when using the visual-haptic system. Participants not only completed tasks with greater speed and accuracy but also applied considerably lower and more consistent forces. The analysis underscores that haptic feedback, enabled by advanced sensor fusion, not only restores a crucial 'sense of touch' to the surgeon but also reduces the incidence of excessive force application, potentially minimizing tissue trauma and improving patient recovery. These findings confirm the hypothesis that haptic-visual integration constitutes a new paradigm in robotic surgery, shifting the paradigm from purely visual guidance to a more intuitive, multi-sensory surgical experience. This study also discusses future challenges and opportunities, including the potential for AI-driven partial autonomy, such as creating virtual safety boundaries or automating sub-tasks, and the development of next-generation sensor technologies to further enhance clinical outcomes.

Attendance is an essential activity in both educational institutions and companies, serving as an indicator of discipline, presence, and individual responsibility. Conventional attendance systems that still rely on manual journals often face several problems, such as vulnerability to manipulation, data loss, and physical damage. Meanwhile, modern methods such as fingerprint, QR code, RFID, and GPS are not entirely ideal since each has its own limitations in terms of cost, accuracy, user convenience, and potential misuse. For instance, fingerprint systems raise hygiene concerns due to shared use, while QR code and GPS methods are prone to fraud and location spoofing. To address these challenges, this study proposes a face-based attendance simulation system by integrating the YOLOv8 algorithm for face detection and Local Binary Pattern Histogram (LBPH) for face recognition. YOLOv8 was chosen for its ability to detect faces in real time with high speed and accuracy, while LBPH is employed for face recognition due to its robustness in handling variations in facial features and its relatively low computational requirements. This makes the system efficient even when implemented on medium-specification devices. The system was tested on 25 participants with a total of 250 attendance attempts. Based on the confusion matrix analysis, the system achieved outstanding performance with 98.4% accuracy, 98.4% precision, 100% recall, and a 99.2% F1-score. Furthermore, the system automatically recorded attendance dates and times with an average latency of 69.185 ms, proving its capability to operate quickly and reliably in real-world scenarios. Nevertheless, several limitations were observed, such as decreased accuracy when the face moved too quickly during image capture, as well as potential performance degradation under extreme lighting conditions. Despite these challenges, the proposed system demonstrates excellent performance and offers a promising solution for efficient, hygienic, and fraud-resistant attendance management applicable to both educational and professional environments.

The development of hardware and software technology has developed rapidly in recent years. Currently, companies are still experiencing difficulties in processing data and information. Spare parts that are not available when needed can hinder maintenance and repair plans. For this reason, controlling spare parts inventory in the Asia Jaya Motor workshop company is very necessary to maintain the quality of goods. Asia Jaya Motor Workshop is a business operating in the automotive sector, where this place cannot be separated from an accurate information system. However, data management still uses manual methods, seeing the problems that occur at the Asia Jaya Motor Karawang Workshop, very high accuracy, convenience and speed are needed. The aim of this research is to obtain an effective and efficient spare parts inventory analysis so that spare parts procurement and control plans can be accurate in supporting maintenance and repair programs. The data collection techniques for this research are library research and field research. So, the total cost of spare parts inventory in the 2011-2014 period according to the Economic Order Quantity method for each spare part has increased. The total cost (total cost) of spare parts inventory according to the Economic Order Quantity method is lowest in the 2021 period and the total cost (total cost) of spare parts inventory is the highest in the 2023 period.