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Rheumatoid arthritis (RA) is an autoimmune disease that causes chronic inflammation in the joints, causing pain, swelling, and limited movement. Heat therapy is one of the effective methods to relieve RA symptoms because it can improve blood circulation, relax muscles, and reduce joint stiffness. This study designed and analyzed an Arduino IDE-based rheumatic therapy device with two main features: a waist heater using a DC Heater and a back electrostimulator through the L298N module. The device has three operating modes (Low, Medium, High) that regulate the pulse delay to adjust the patient's comfort. An input temperature of 50°C is programmed to provide optimal warmth. The measurement results showed that the output voltage of the power supply was 4.51 V with an error of 9%, the microcontroller input was 4.98 V with an error of 0.4%, the output of the L298N driver was 23.9 V, and the input of the DC Heater was 4.98 V with an error of 0.4%. All values are within safe tolerance limits. The 15- and 25-minute temperature stability tests show a small difference between the temperature of the appliance and the thermocouple, indicating stable and accurate appliance performance. Based on the results of technical analysis and temperature testing, this rheumatic therapy tool is considered suitable for use as an alternative to non-pharmacological therapy for RA patients.

Automatic Identification System (AIS) is a communication technology that plays an important role in improving operational safety and efficiency in the shipping industry. AIS allows ships to exchange real-time data on identity, position, speed, and direction, which helps prevent collisions and facilitates maritime traffic management by port authorities. In addition, AIS functions in search and rescue operations by providing accurate information on the location of ships in trouble. In terms of security, AIS allows monitoring of suspicious ships, thus helping in preventing illegal activities in the waters. This study aims to design and develop a prototype AIS receiver based on LoRa, Arduino, and LCD HMI. The LoRa module was chosen because of its ability to transmit data over long distances with low power consumption, which is suitable for the maritime environment. Arduino is used as the main microcontroller to control the system, while the LCD HMI serves as the display interface for the received data. After the hardware and software design was completed, the system was tested through functional testing and performance measurements using a spectrum analyzer to evaluate the strength of the LoRa signal at various distances. The test results show that the AIS receiver is able to receive data well up to 15 meters on land and 13 meters at sea, with a delay of 100 milliseconds. System performance degrades at longer distances due to environmental interference and signal attenuation. These findings provide insight into the effective limits of LoRa communication in maritime applications and can be used as a reference for frequency testing and optimization of LoRa-based long-range communication systems.

Overhead cranes are an important device in the manufacturing and construction industry that functions to move heavy loads efficiently and safely. However, human error often occurs which can cause work accidents, equipment damage, and decreased productivity. Therefore, this research aims to design and build an Arduino-based automatic overhead crane system that can increase work efficiency and safety. This system is designed using an Arduino microcontroller as a control center, equipped with an ultrasonic sensor to detect the position and distance of the load, as well as a servo motor to regulate crane movement automatically. The system also features a wireless communication module to monitor and control the crane remotely. The research method used is Research and Development (R&D), which includes the stages of needs analysis, system design, hardware and software implementation, and performance testing. Test results show that this automatic overhead crane is capable of moving loads with high accuracy and a speed that can be adjusted according to needs. The system also succeeded in reducing manual intervention, thereby increasing work safety and reducing the risk of accidents by up to 30% compared to manual systems. The Arduino-based automatic overhead crane design succeeded in meeting the research objectives, increasing work efficiency and safety. Routine maintenance and periodic checks on mechanical and electronic components need to be carried out to ensure the system continues to function optimally and reduces the risk of damage.

Oka Jamur Bali is one of the oyster mushroom cultivation farmers. Lack of efficiency in regulating temperature and humidity in mushroom barns is an important factor in the growth of mushroom fruiting bodies. This condition requires an innovative solution to regulate and monitor temperature and humidity in the barn area. This research aims to build a prototype using Arduino UNO, ESP32, DHT11, pump and Internet of Things (IoT) technology.  The monitoring system design uses Arduino UNO, NodeMCU ESP32, DHT11 and DC pump with 12V voltage. Arduino UNO functions as a control system to manage and control the temperature and humidity parameters of the mushroom barn environment with the DHT11 sensor used to accurately measure temperature and humidity. The combination of NodeMCU ESP32 and Arduino UNO aims for monitoring through the ThingSpeak platform which can be accessed with a smartphone connected to the internet network. Based on the results of the prototype of the automatic temperature and humidity control system, the system is able to measure the environmental conditions of the mushroom barn with humidity measurement results in the range of 79% - 82% and the average temperature during the test reached 29.35°C. The application of the system was able to reduce the temperature by 2.28% with an average temperature of 28.19°C and increase the relative humidity by 6.27% with an average humidity of 81.1% in the mushroom barn area. The results of income between the income generated by using the automatic temperature and humidity control system tool and the income of farmers without using the tool increased by Rp. 16,416.

Socks are essential daily wear that require special care, including an effective drying process to prevent unpleasant odors and the growth of bacteria and fungi. Conventional drying methods often face challenges, especially in high-humidity environments or during unfavorable weather conditions. This study aims to design and develop a prototype sock dryer that is more efficient and hygienic. The prototype utilizes a combination of a heater, UV lamp, and humidity and temperature sensors to ensure optimal drying without damaging fabric fibers. A microcontroller-based control system using Arduino Uno is implemented to regulate device operation and monitor sock conditions during drying. Testing results indicate that the device effectively dries cotton socks in damp conditions faster than conventional methods. Additionally, the sterilization feature with a UV lamp helps reduce the risk of microbial growth. This innovation is expected to provide users with a practical, hygienic, and efficient way to dry socks without depending on weather conditions. Further development can be carried out to enhance drying capacity and energy efficiency.

This project aims to design and develop a prototype system based on gesture sensors to monitor visitors and smoke sensors to detect the presence of smoke in designated smoking rooms. The system is designed to enhance comfort, safety, and operational efficiency in multipurpose buildings. Utilizing the Arduino Uno microcontroller, the device is equipped with various components, such as a gesture sensor to detect visitor movements entering and exiting the building, enabling visitor monitoring for resource allocation. Meanwhile, the smoke sensor is designed to identify and monitor smoke concentration in the smoking room to prevent the spread of smoke to other areas.The device also includes additional features, such as an automatic exhaust fan and an LCD display for process monitoring. Test results show that the developed prototype has a high accuracy rate in detecting visitor gestures and can reliably and quickly detect the presence of smoke. This system provides an innovative solution to support smarter, safer, and more eco-friendly management of multipurpose buildings. This research is expected to serve as a foundation for further advancements in the application of sensor technology in public facilities.

Neonatal asphyxia is a critical emergency condition in newborns characterized by the failure to initiate or maintain spontaneous and regular breathing, leading to hypoxemia, hypercapnia, and acidosis. One of the primary interventions to manage this condition is positive pressure ventilation using a resuscitation device such as a T-piece resuscitator or Neopuff. The Neopuff device has advantages over manual methods because it can provide stable and controlled Peak Inspiratory Pressure (PIP) and Positive End-Expiratory Pressure (PEEP), thereby reducing the risk of lung injury in newborns. The results show that the Arduino-based Neopuff device is capable of producing PIP pressures between 15–25 cmH₂O and PEEP pressures between 4–6 cmH₂O, which are within the recommended clinical standards for neonatal resuscitation. The pressure sensor successfully detected real-time changes, and pressure adjustment could be performed precisely. Therefore, this device can serve as a simple, affordable, and effective alternative for neonatal resuscitation, with potential for further development through an automatic control system to enhance accuracy and safety

Sleep disorders such as insomnia are health problems that have a serious impact on quality of life. This research aims to design and build a brain wave stimulator based on Audio Visual Stimulation (AVS) as a non-invasive solution to help improve sleep quality. It utilizes a synchronized combination of light and sound, controlled by an Arduino NANO microcontroller, and supported by a DFPlayer Mini module, speakers, and blue LEDs as a stimulation medium. The research methods used are applied research with observation stages, literature studies, system design, tool implementation, and function testing. Functional tests were performed five times in a span of 15 minutes after the device was activated. The results of the voltage measurement on each component also show that the performance of the tool is within normal limits according to the datasheet. Thus, this tool successfully functions as designed and has the potential to be a viable solution to improve sleep quality.

The increasing unpredictability of climate change demands a system capable of automatically detecting rainfall and providing early warnings. This study aims to design and develop a rain detection system based on a water sensor and LED using an Arduino Uno microcontroller. The system operates by detecting water presence on the rain sensor and providing a visual indication through an LED. The research methodology follows a Research and Development (R&D) approach, including literature review, hardware and software design, implementation, and system testing. The test results indicate that the system can accurately detect rainfall and respond to weather changes in real-time. This system has the potential to be applied in various sectors, such as agriculture, transportation, and industry, to mitigate risks caused by sudden rain. Further development can integrate Internet of Things (IoT) technology for remote weather monitoring.

Fire is one of the incidents that disturbs homeowners because of the fire that will drain property and can claim lives when there is a lack of anticipation and minimal ignorance of the incident, such as when a fire occurs there is no early warning to the homeowner, this is also a cause of fire. The cause of the fire can be caused by a gas leak, electrical short circuit or caused by the community itself. Based on these problems, a solution is needed to create a safety system technology to be applied to the home kitchen, namely the design of an early detection system for fires based on the Internet Of Things (IoT) using ESP8266 which is useful for monitoring kitchen conditions and will automatically send a notification of the kitchen condition if the sensor reads an incident. The Hardware Design uses several tools consisting of ESP8266, Arduino R3. Jumper Cables, Fire Sensors, MQ-2 Gas Sensors, Mini Fans, Mini Water Pumps, Relays, Buzzers. and for the software design using Arduino IDE for system programming and Blynk as an application to display notifications. The designed system will be tested using black box testing which is used to determine whether the designed system will meet the specified parameters or not, and the results of the design state that the system is in accordance with the parameters used.

Bicycles are affordable and healthy, cause zero harm to the environment, require little space on roads and parks, and are not noisy transportation means. However, cyclists face challenges on roads, which may lead to injuries and deaths. For instance, cyclists visibility, speed management, ability to communicate with other road users, backward accidents, and ability to be located in urgent cases. This paper presents performance, tracking, and safety systems from hardware and software point of view. As a result, cyclists monitor their speed to manage; their locations are tracked, and their cycling paths are traced. Also, a rear red light and turn signal LEDs are activated without any physical action from the rider to communicate with other drivers. Moreover, a microwave radar sensor with a range of seven meters is employed to protect the cyclist from backward-approaching vehicles. Finally, three Arduino UNO boards with GPS, GSM modules, MPU-6050, and RCWL-0516 sensors are mounted on a conventional bicycle to provide safer trips.

The Arduino microcontroller plays a significant role in automation systems, including temperature control in industrial settings. Its implementation addresses challenges related to accuracy and efficiency in control systems. By applying a temperature control system based on the Arduino microcontroller, the control process becomes more effective and efficient, taking into account parameters such as target temperature, response time, and system stability. This study utilizes the integration of a temperature sensor with an Arduino Uno-based controller to monitor and regulate temperature in real-time. Data from experiments demonstrate high system accuracy in maintaining the target temperature range. These findings support the application of Arduino microcontrollers in improving efficiency and quality in industrial temperature control.  

Microcontrollers play a vital role in managing patient data systems within hospital environments, including at Kisaran General Hospital. A microcontroller-based data management system facilitates the automation of patient data recording and processing in real time, enhancing both accuracy and efficiency. This study aims to analyze the performance of microcontrollers in a patient data system by evaluating parameters such as processing speed, data accuracy, and system stability. The implementation involves an Arduino Uno microcontroller integrated with sensors and data processing software. Experimental results demonstrate the system's ability to process patient data quickly and accurately, contributing to the operational efficiency of the hospital. These findings highlight the potential of microcontroller technology as a modern solution for patient data management in healthcare settings.

Coffee is an agricultural product highly favored by the majority of the Indonesian population. Coffee comes in various types, each with a distinct aroma. Currently, differentiating coffee types relies on conventional methods, using the human nose, which is shubjective and dependent on individual conditions. This approach is less effective. To address this, researcher have developed a machine learning based system using Arduino Mega 2560 as the microcontroller, gas sensor MQ4, MQ7, MQ135, as the aroma detection tools, and the Linear Discriminant Analysis (LDA) algorithm as the classification method. The results of this system can classify 5 types of coffee with an accuracy rate of 90%.

This research aims to design and develop a motion detection-based automatic light control system with a light intensity setting feature using IoT technology. The system utilizes a combination of PIR sensor, MOSFET module, and Arduino Uno microcontroller to control lighting based on the presence and position of the user. With an adaptive control algorithm, the lamp can dynamically adjust the lighting intensity to several levels as needed. Test results show that the system successfully reduces energy consumption optimally without reducing user comfort. The implementation of this technology has great potential in supporting energy efficiency in public areas, such as parks, office hallways, and sidewalks.

In this study, the implementation and simulation of a servo SG90 drive system based on Arduino Uno with dynamic angle control were carried out. The SG90 servo motor is widely used in various applications such as robotics and automation due to its ease of control and small size. The objective of this research is to develop a control system capable of adjusting the servo angle dynamically using Arduino Uno. The simulation method involves hardware and software simulations combined with servo control code based on PWM (Pulse Width Modulation) signals. The results show that the system is capable of accurately controlling the servo angle through a potentiometer as a dynamic input, along with simulation visualization in a software environment.

The railway doorstop system functions to increase the safety of road users and avoid accidents at crossings. This journal discusses the design and implementation of a train doorstop system using Arduino Uno with supporting components such as servo motors, LED lights, resistors and the HC-SR04 ultrasonic sensor. The simulation aims to automate the process of closing and opening gate latches based on the presence of trains, with results demonstrating the effectiveness of the system in improving safety at crossings.  

The availability of clean water is essential in daily life and plays an important role in agriculture, industry, and households. Water resource management faces many challenges such as fluctuations that can cause waste and shortages. The purpose of this research is to create a device that can automatically monitor water surface levels. The tool in question is a water level sensor based on Arduino Uno, which consists of a water level sensor and an Arduino Uno microcontroller. The sensor technology on Arduino can effectively monitor water usage directly and is known for its ease of use, flexibility, and sensor compatibility. An efficient water monitoring system provides accurate information about water availability.

This research successfully designed and built a CNC drawing machine based on Arduino. The system utilizes NEMA stepper motors to move the X and Y axes, as well as a servo motor to control the Z axis. The Arduino Uno, supported by GRBL firmware, acts as the central controller that processes commands from the Inkscape software. The results of the research demonstrate that the developed CNC machine is capable of producing images with satisfactory accuracy. The appropriate selection of components and optimal parameter settings have contributed to the machine's reliable performance.

The tool that detects human movement has been designed with a passive infrared sensor based on Arduino ESP32 which can send messages via SMS to the ship's security system. This is the background to the need to improve the security system on ships. The aim of this research is to find out the movement in the ship's engine room. This system can find movements. This tool can detect a maximum distance of 6 m. This system consists of software and hardware that allows sensors to detect human actions. The software uses the C+ language program and is used on the Arduino ESP32. Press the switch to activate this device. A message will be sent to the owner's smartphone if there is movement. Methods and tool system design for applied scientific work that will be carried out using prototype research methods. Prototype research methods are used to produce certain products, and test their effectiveness. The results of the research in this applied scientific work are the level of accuracy of the PIR sensor which detects human movement at a maximum distance of 6 meters and sim800L as a message sender to Android. Beyond that the data is unreadable and invalid.