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The manual employee attendance process at the Perjuk Village government level often results in inaccurate data, delayed recapitulation, and difficulties in real-time attendance monitoring. This study aims to develop an Internet of Things (IoT) and Radio Frequency Identification (RFID)-based village employee attendance system to simplify the administrative process and improve the efficiency of attendance recording. The development method used is the Research and Development (R&D) model with stages including needs analysis, system design, validation, field trials, and product revisions. The system was built using an ESP32 microcontroller, an RC522 RFID module, and a Wi-Fi connection to transmit attendance data to a web-based server. Testing was conducted using the black box method to ensure all system features run according to design. The results of the black box test show that all features run according to design. The system records attendance automatically with 100% accuracy, saves data to the server database, and displays reports in the form of tables, graphs, and statistical cards. The study concludes that this IoT and RFID-based attendance system is able to improve the accuracy, speed, and efficiency of recording compared to manual methods, and is in accordance with operational needs at the Perjuk Village Office.

The purpose of this study is to find out how the implementation of accountability and transparency in the management of the Village Budget (APBDesa) in Sintuwulemba Village, Poso Regency, Central Sulawesi Province, is carried out. The researcher used a qualitative approach with in-depth interviews as the research method. Data were obtained by conducting interviews with three key informants consisting of the village secretary, the village treasurer, and the Village Consultative Body. The research findings indicate that the Sintuwulemba village government has applied the principle of accountability in the management of village funds. This is evident from the planning, implementation, administration, and accountability processes that are open, involving the community in every process. In terms of transparency, the Sintuwulemba village government has applied the principle of transparency where every village development policy and the use of village finances always go through the village deliberation stage. These two principals have made Sintuwulemba Village one of the successful villages in implementing village development and good village fund management in Poso Regency. These steps are also those that need to be emulated by other villages in Poso Regency and its surroundings.

In the digital era, the demand for practical and efficient security systems has significantly increased, particularly in the context of access control for restricted rooms or buildings. This research aims to develop an automatic door locking system utilizing an RFID card and a NodeMCU ESP32 microcontroller integrated with Internet of Things (IoT) technology through real-time notifications using the Telegram application. The system is designed to replace conventional locking methods that often present various weaknesses, such as key loss, physical duplication, and lack of remote access capabilities. The development method employed is the Research and Development (R&D) approach, consisting of needs analysis, system design, hardware and software implementation, followed by testing and evaluation. The main components used in the system include the RC522 RFID reader for user identification, Espressif manufactures the ESP-32 microcontroller, which is equipped with Wi-Fi and Bluetooth modules to enable wireless internet connections. NodeMCU ESP32 as the control center and internet connector, a relay module as an electronic switch, and a solenoid door lock as the actuator. The results show that the system is capable of accurately reading RFID card UIDs, granting access to registered cards, activating the solenoid to unlock the door, and sending access status notifications to Telegram in an average of less than three seconds. The system also effectively denies access to unregistered cards and sends warning messages accordingly. Therefore, this system enhances the security and efficiency of room access control and has the potential to be adopted as a prototype solution in the development of smart homes or modern access control systems.

Tuberculosis (TB) is a contagious disease, caused by Mycobacterium tuberculosis, primarily affecting the lungs, but also capable of involving other organs. According to data from the Indonesian Ministry of Health, pediatric TB cases increased by 20.9% in 2021. Similarly, at the Aceh Provincial Health Office reported an 87.3% rise in TB cases in the same year, with North Aceh being one of the regions with the highest prevalence. This study aims to describe the nutritional status of children diagnosed with TB at Cut Meutia Hospital. A descriptive research design was employed, using medical record data of pediatric TB patients. The sampling of technique used was total sampling, comprising 53 children. The findings showed that among the 53 pediatric pulmonary TB cases, most were male (28 children or 52.8%). The most affected age group was school-aged children (29 children or 54.7%). Regarding nutritional status, the majority had good nutrition (32 children or 60.4%). Pulmonary TB was the most prevalent form of TB, found in 41 children (77.4%). When analyzed by age and gender, pulmonary TB was the predominant type across all groups. In conclusion, pulmonary TB was the most common form of TB, predominantly affecting school-aged boys with good nutritional status.

Epilepsy is one of the most common chronic neurological disorders and can affect women of reproductive age, including during pregnancy. Pregnancy in women with epilepsy (WWE) presents various clinical challenges due to the complex interaction between physiological changes in pregnancy, fluctuations in antiepileptic drug (AED) levels, and the increased risk of seizures. Seizures during pregnancy not only pose a threat to maternal safety but also carry potential complications for the fetus, such as hypoxia, trauma, and impaired uteroplacental blood flow. Therefore, the management of epilepsy during pregnancy requires a careful and comprehensive approach. This report presents the case of a 41-year-old woman, G4P2A1, at 37–38 weeks of gestation, who presented to the emergency obstetric unit at Cut Meutia General Hospital with complaints of contractions following three episodes of seizures within the previous 24 hours. The patient had a 16-year history of epilepsy and was on regular neurologist follow-up, but she had discontinued her AEDs three weeks prior due to medication unavailability. She underwent an elective cesarean section with concurrent fimbriectomy as a permanent contraceptive method. Postoperatively, the patient experienced status epilepticus and decreased consciousness for approximately 24 hours. A multidisciplinary approach involving neurologists was implemented, including AED administration, enteral nutrition, close monitoring of vital signs and urine output. The patient's condition gradually improved, and she was discharged on the seventh day in a stable condition with well-healed surgical wounds. This case highlights the importance of optimal seizure control during pregnancy. Preconception counseling, appropriate AED selection, and regular drug level monitoring are essential in minimizing maternal and fetal complications. A multidisciplinary collaboration between obstetricians and neurologists plays a crucial role in achieving favorable 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.

Increasing business competition requires companies to consistently improve quality and operational efficiency. This study aims to identify and reduce non-value added activities in the procurement process at Distributor X, a company engaged in the distribution of instant cooking spices. Common issues include expired goods (49.05%), damaged packaging (18.78%), and product mismatches (32.17%). The Lean Six Sigma approach with the DMAIC (Define, Measure, Analyze, Improve, Control) method is used to address these problems. Measurement results show an average DPMO value of 10,076.58 and a sigma level of 3.82, which are still far below the Six Sigma quality standard. Improvement proposals include the implementation of barcode/RFID systems, FIFO inventory management, higher-quality packaging materials, and the use of unique product codes. In the Control phase, monitoring is carried out through an ERP system and the establishment of structured SOPs to support distribution oversight. This approach demonstrates potential in reducing defect rates and improving the overall quality of the procurement process.

Public Fuel Filling Stations (SPBU) are important facilities that provide various types of fuel such as gasoline, diesel, and Pertamax to meet the needs of motorized vehicles. The existence of SPBU greatly helps the public in obtaining fuel at a more economical price compared to purchasing retail. However, the transaction system at SPBU generally still uses conventional methods, such as cash payments or the use of debit/credit cards that have not been fully integrated with an efficient digital system. The use of RFID (Radio Frequency Identification) technology has been implemented as a non-cash transaction method at several SPBUs, but this system still has various weaknesses, such as limited device compatibility and delays in transaction processing. This prompted the author to develop the concept of an independent SPBU based on modern technology that is more efficient and secure. The proposed innovation includes the use of contactless smart cards and coin acceptors for the payment system, allowing users to make self-service transactions without operator involvement. In addition, the author also added several supporting components such as proximity sensors, which function to detect the presence of vehicles or people around the SPBU area. These sensors can help in saving electrical energy by activating the system only when needed. Another component is a vibration sensor, which plays a crucial role in detecting excessive vibrations that could potentially cause leaks. If excessive vibration is detected, the system automatically closes the solenoid on the pump to prevent the risk of fire or damage. By integrating this technology, the autonomous gas station system is expected to improve operational efficiency, user convenience, and safety during the automatic refueling process. This development is expected to be an innovative solution for modernizing the gas station system in Indonesia.

The rapid advancement of information technology has brought significant transformation across multiple sectors, including library management systems. One of the pressing needs in higher education libraries is the development of an efficient, accurate, and secure borrowing system that reduces human error and improves service quality. This study aims to design and implement a book borrowing system for the STMIK Kaputama library by utilizing Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The proposed system employs the ESP32 microcontroller as the core controller, supported by the RFID RC522 module and buzzer as primary devices to facilitate the automatic identification of library members and borrowed books. The borrowing and returning process is executed through RFID card scanning, with all transaction data transmitted via WiFi and stored in a MySQL database, which is managed through a PHP-based web platform. The development process follows the Agile methodology, enabling iterative improvement and adaptability to user requirements. System testing demonstrates that the integration of RFID and IoT technology significantly enhances the efficiency, accuracy, and speed of library operations compared to the previous manual system. Furthermore, the system allows real-time recording of borrowing transactions, monitoring of user activities, and centralized data management. These features not only streamline library services but also improve data security and reduce the risk of loss or duplication of records. Overall, the implementation of this RFID-IoT-based system provides an innovative solution for modernizing library management, particularly in higher education institutions. The system ensures faster services, minimizes errors, and creates a structured and reliable digital infrastructure to support academic information services. This study highlights the potential of combining RFID and IoT technologies to improve the quality and effectiveness of library systems in the digital era.

The increasing number of motorcycle thefts in various regions indicates that conventional security systems are not yet fully effective in protecting vehicles, necessitating new technology-based innovations. This study discusses the planning and implementation of a motorcycle security system utilizing Radio-Frequency Identification (RFID) technology as a more responsive and modern solution. The system is designed using a passive RFID tag placed on the motorcycle key, an RFID reader integrated with the motorcycle unit, and an Arduino microcontroller that functions to control the ignition system. With this combination, the motorcycle can only be activated if the appropriate tag is detected, while access attempts using an invalid tag or the loss of the tag will automatically disconnect the ignition system. Test results announced that tag recognition can be done very quickly, in less than a second, so as not to disrupt the user's comfort when starting the vehicle. In addition, this system is able to maintain consistent performance by providing an automatic response that supports advanced security. The implementation of this plan is expected to reduce motorcycle theft by providing an additional layer of security that is more difficult to penetrate than a manual key system. From the user's perspective, this technology remains practical because it does not require complicated procedures in its operation, simply by ensuring the appropriate RFID tag is attached to the motorcycle key. Overall, this research confirms that the application of Arduino microcontroller-based RFID technology can be an alternative, inexpensive, and applicable security system in everyday life. It is hoped that this system will not only improve protection for vehicle owners but also serve as a benchmark for the development of more sophisticated transportation security technologies in the future. Implementation of this system is expected to reduce motorcycle theft and provide a greater sense of security for vehicle owners.

This study explores the dual impact of artisanal gold mining on economic livelihood and environmental sustainability in Tedeboe Village, Rampi District, North Luwu Regency. Employing a qualitative case study design, data were gathered through in-depth interviews with four key informants—including the village head and three local miners—and through direct field observation. Data were analyzed using Creswell’s qualitative analysis framework, encompassing coding and thematic development to capture nuanced insights. The findings indicate that artisanal gold mining has significantly improved household income, especially in meeting basic needs and funding education. However, the sector’s informal nature and high dependency expose the community to economic volatility. Moreover, despite limited use of chemicals, awareness of mercury’s environmental and health risks is rising among miners. Environmental degradation, particularly soil and water pollution, alongside potential respiratory hazards, emerges as a critical concern. The study underscores the urgent need for sustainable mining practices, stronger local regulation, and capacity-building through education and economic diversification. These findings advocate for a balanced approach to rural development—one that harmonizes economic benefits with ecological resilience and community well-being.

In the digital era, home security has become a crucial aspect with the increasing risk of theft due to the weaknesses of traditional lock systems. This study develops an automatic door security system based on the Internet of Things (IoT) by integrating Radio Frequency Identification (RFID) technology and mobile applications. This system allows users to lock and unlock the door and monitor the door condition and battery power in real-time from a distance. To increase flexibility and security, this system also utilizes the Mamdani Fuzzy logic method in decision making, based on parameters such as battery power, user distance from the door, and environmental security level. With this approach, the system can dynamically adjust access according to the situation. The test results show that the developed system is able to provide a more efficient, secure, and adaptive security solution compared to conventional locks, as well as providing better convenience and control for users in managing home security intelligently and integratedly.  

Accurate English pronunciation is essential for clear and efficient communication. It guarantees that concepts are grasped and helps avoid misunderstandings. Pronouncing words correctly boosts confidence when speaking and facilitates the easy and clear expression of ideas. By assisting people in accurately identifying and reproducing sounds, it also improves listening skills. Correct pronunciation makes a big impression and can open up more options in both professional and academic settings. In the end, mastering pronunciation improves relationships with people from different cultural backgrounds, promoting improved communication and international interaction.

Accurate English pronunciation is essential for clear and efficient communication. It guarantees that concepts are grasped and helps avoid misunderstandings. Pronouncing words correctly boosts confidence when speaking and facilitates the easy and clear expression of ideas. By assisting people in accurately identifying and reproducing sounds, it also improves listening skills. Correct pronunciation makes a big impression and can open up more options in both professional and academic settings. In the end, mastering pronunciation improves relationships with people from different cultural backgrounds, promoting improved communication and international interaction.

In the current era of globalization and technology, computers, RFID are examples of information technology tools that are indispensable for meeting human needs in almost every aspect of life, including the management of infrastructure and equipment lending.According to direct research at Widya Praja Ungaran Vocational School, there are only two workers who handle facilities and infrastructure. In carrying out their work assignments, they still experience difficulties. Excess workload and the process of borrowing tools that still lacks a sense of responsibility, so that the results of the work are not maximized.The existence of increasingly sophisticated technology, the management of infrastructure and equipment lending can be done with the help of technological tools that will be implemented in this school. This research aims to make it easier to administer, because this school has not yet added a new workforce.This research can be designed with the help of software (Bootstrap, MySql), programming (PHP, Arduino IDE) and equipment (NodeMCU ESP8266, RFID, LCD, I2C, buzzer, power supply, breadboard, jumper cables, resistors, LEDs) to provide data information. more accurate, effective, efficient and provide a good working atmosphere in this school. It is hoped that this research can reduce work overload and create a sense of responsibility in borrowing equipment, using local networks (wifi / handphone) and computers or laptops, with the research method used is research and development (R&D).

The aim of the research is to build a monitoring system prototype that can provide notifications in the system for collateral items that are lost or out of range within the monitoring distance of the RFID reader. so that each officer can know when the item is lost or out of reach based on the time recorded in the monitoring system. This is different from CCTV AI which can only record overall conditions and movements, but does not provide notification of loss or removal of collateral from the range of the RFID reader. Keywords: Collateral Goods, Reader RFID, Tag RFID, Cctv AI, Notification

Digital transformation in village governance has become a primary strategy for enhancing efficiency and effectiveness in human resource (HR) management. This study aims to analyze the implementation of digital technology in village government HR management and its impact on productivity and administrative efficiency. Employing a systematic literature review method, this research examines implementation trends, success factors, challenges, and optimal strategies for digitalization in HR management at the village level. The findings indicate that the adoption of technologies such as electronic Human Resource Management (e-HRM), cloud computing, and village information systems contributes to faster administration, increased accountability, and optimized performance of village officials. However, challenges remain in technology adoption, including low digital literacy among village officials, limited information and communication technology (ICT) infrastructure, as well as regulatory and policy constraints. To overcome these hurdles, a comprehensive strategy is required, encompassing capacity building through training, strengthening digital infrastructure, and fostering collaboration among central government, village governments, and the private sector. With appropriate policy implementation, the integration of digital technology in village-level HR management can improve public service quality and support more modern and responsive governance.

This study aims to design and develop an automatic attendance system using Radio Frequency Identification (RFID) technology and an ESP32 CAM. The system is designed to improve efficiency and accuracy in recording student attendance in academic environments. When a student's RFID card is scanned, the system automatically identifies the student and captures an image through the ESP32 CAM as additional proof of attendance. Attendance data and captured images are stored in a database that is connected in real-time via the Internet of Things (IoT). The results of the testing show that this system is able to perform the attendance process quickly and accurately, providing convenience for administrators in managing and monitoring attendance data digitally.

Emerging technologies are transforming warehouse operations, and this study investigated the effectiveness of implementing the Internet of Things (IoT), Radio-Frequency Identification (RFID), Artificial Intelligence (AI), and Robotics into warehouse operations. A descriptive correlational research design was employed, utilizing surveys to gather data from warehouse personnel and focusing on key performance indicators such as inventory accuracy, order fulfillment efficiency, cost reduction, and timely delivery satisfaction. The findings revealed a high level of familiarity with RFID and IoT among warehouse personnel, and a strong belief in the positive impact of these technologies on warehouse operations. However, challenges such as implementation costs, technical issues, and regulatory compliance were identified. Surprisingly, the analysis did not reveal a significant relationship between the implementation of these technologies and their overall effectiveness on warehouse operations. Future research should consider qualitative methodologies and larger sample sizes to explore other factors influencing warehouse performance.

An Employee Attendance And Data Management System Based On Rfid Technology And Api Communication Has Been Successfully Developed And Tested With Satisfactory Results. The Problem Faced Is The Weakness Of Traditional Attendance Methods Which Are Susceptible To Human Error And Time Consuming, Hampering The Productivity And Effectiveness Of Company Operations. The Aim Of Developing This System Is To Increase Efficiency And Accuracy In Recording Employee Attendance. The Method Used In This Research Is The Waterfall Method, Which Includes The Stages Of Requirements Analysis, System Design, Implementation, Testing And Maintenance. At The Needs Analysis Stage, Identification And Documentation Of The Desired Attendance System Requirements Are Carried Out. The System Design Phase Involves Designing The Hardware And Software Architecture, Including The Use Of Rfid With Components Such As The Esp8266, Buzzer, And Rc522 As Well As Integration With The Server Via Api. Implementation Is Carried Out By Developing Hardware And Software According To The Design That Has Been Created. Testing Is Carried Out On Hardware Components To Ensure Function According To Specifications And Hardware-Software Integration To Ensure Smooth Communication Without Delays Or Loss Of Data. Business Logic Testing Ensures The System Detects Absences And Performs Automatic Salary Deductions According To Company Policy. The Data Export Module Was Developed To Export Attendance, Member, Division And Salary Data To An Excel File With The Appropriate Format. The Results Show That The Hardware Components Function Well, Able To Read And Send Rfid Data To The Server Accurately. Hardware And Software Integration Via Api Runs Smoothly, Enabling Real-Time Two-Way Communication. Business Logic Testing Shows That The System Can Detect Employee Absences And Perform Automatic Salary Deductions With High Accuracy. The Data Export Module Proved Effective, Allowing Users To Export Data To An Excel File In An Easily Accessible Format For Further Analysis Or Reporting. The Conclusion Of This Research Is That The Employee Attendance And Data Management System Based On Rfid And Api Technology Has Been Proven To Increase Efficiency And Accuracy In The Employee Attendance And Attendance Management Process. This System Offers A Modern And Effective Solution Compared To Traditional Attendance Methods, Providing Significant Flexibility And Ease Of Access. The Implementation Of This Technology Makes An Important Contribution In The Field Of Human Resource Management, Optimizing Productivity And Operational Effectiveness Of The Company.