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The TCS3200 color sensor demonstrates limited accuracy under certain environmental conditions, particularly in relation to the distance between the sensor and the object, as well as the surrounding lighting. This study aims to investigate the effects of distance variation (0 cm, 2 cm, 4 cm, and 6 cm) and lighting conditions (bright and dark) on color detection using the TCS3200 sensor integrated with an Arduino microcontroller. An experimental method was employed, with color data converted into the CIELAB color space and analyzed using Delta E as the deviation indicator. The results indicate that the most accurate color readings occur at a distance of 0 cm, where the sensor receives maximum reflected light. Furthermore, measurements taken under dark conditions exhibit more consistent results compared to those under bright lighting, which tends to introduce optical interference. It can be concluded that the TCS3200 sensor performs best at close range and under controlled lighting conditions to ensure accurate and reliable color detection.

The PG45 DC motor is a drive system used on sediment detection boat. To achieve the desired stability and speed, it is necessary to apply a control system to the sediment detection boat drive system. Control systems need to be tuned to ensure that they function properly and are responsive to changes. In order to complement the previous research, further research was carried out focusing on determining the PID control parameters on the angular speed of the PG45 DC Motor using Simulink. The PG45 DC motor works based on the Arduino programming algorithm that has been designed so that it can rotate at a predetermined speed. This research modeled the sediment detection ship system on Simulink with a similarity rate of 94.09%. The results of this study indicate that the tuning method used, namely trial and error, produces good control on the sediment detection ship system model that has been assembled in Simulink with the value of Kp = 100; Ki = 5; Kd = 15 obtained the value of rise time = 0.2474 seconds and settling time = 0.4104 seconds and overshoot = 0.2175%%.

The knee is the largest joint in the human body. Like other joints, the knee consists of several structures, such as muscle cartilage, ligaments, tendons, and nerves. Almost all leg movements depend on the knee joint. Therefore, the Knee Brace or Health Knee Brace is a tool designed to provide stability support and reduce knee pain. The purpose of this study was to design and build an Arduino-based knee pain therapy tool and to test the safety and effectiveness of the tool in reducing knee pain. This tool is designed using Arduino Mega as a microcontroller, using a DS18b20 sensor that functions as a temperature reader on the Knee support which has a heater pad as a heat generator, a Vibration Motor as a vibration effect giver on the tool and a 2.4 TFT LCD Touch Screen as a display and a 12V adapter on this tool. According to the analysis of the tool made by the researcher, based on the results of the function and performance tests, the Arduino-based Knee Pain Therapy tool can function properly and safely.

Worldwide trade is conducted 80% through maritime routes, including the export and import of coal. Coal is a non-renewable energy source, often used as fuel for power plants. As technology advances, detecting metal contaminants in coal cargo becomes crucial to prevent contamination of coal with metal materials. This study aims to (1) understand the operation of a conveyor in transporting coal, and (2) assess how the Proximity inductive sensor detects metal presence. The methods used in this research include real data analysis and literature review, conducted aboard the ship. The researcher designed and developed a prototype system for this purpose. The Proximity inductive sensor is utilized to detect metal contaminants, such as aluminum, iron, and stainless steel, among the coal cargo. The research was carried out during sea practice (prola) aboard the WHS ISKANDAR 1. The findings indicate that the conveyor is driven by a DC motor, and the Proximity inductive sensor effectively detects metals to separate them from the coal cargo, thus purifying the coal from metal contaminants.

This applied scientific work is entitled "Design of Automatic Smart Berthing System Based on Arduino". Ships are a comfortable alternative transportation. Currently, ship development is needed so that they can operate properly. During the docking process, ship accidents often occur in ports both nationally and internationally. Therefore, a better development or safety is needed that can be given to ships during the docking process. This tool uses the Arduino Nano microcontroller as the main control and an ultrasonic sensor as a distance counter to prevent accidents. This applied scientific work aims to realize and facilitate work on the ship by abandoning manual methods. Berthing is the location of the ship's mooring or security, the area around the ship where the anchor is thrown, the ship's residence, employing the ship's crew and positioning the ship in the desired place. This scientific paper uses experimental research as its research method. The use of experimental research methods in educational research will be faced with problems concerning research subjects. Experimental research is also research that is carried out intentionally by researchers by providing certain treatments to research subjects in order to create a tool or design that is expected by the researcher.

Unmanned Surface Vehicle (USV) is an unmanned vehicle that is currently being developed in Indonesian waters for the purposes of depth surveys in waters that combine autonomous navigation frames, environmental sensors, multibeam echosounders to collect topography, temperature, and other data that are utilized for the world of shipping. Researchers tested an unmanned ship tool that can move automatically and can determine the direction to a predetermined location. Output. The test results show that the unmanned ship can walk to the planned route. This unmanned ship is equipped with a Micro Air M10G GPS sensor, LoRa Sensor, Arduino Mega 2560 Pro Sensor... In testing as many as 15x experiments were carried out including 10x experiments carried out to turn right and 5x experiments with turning left. The experiments carried out were very effective and according to what had been planned, but there were 4x experiments that had differences from 11x experiments due to water waves and winds that were too large so that the ship was unstable.

Wireless communication, in its infrastructure nature, faces many challenges such as fading, data coverage, and interference issues. Therefore, High-Fidelity or (Li-Fi) is utilized due to its ability to naturally provide high-density wireless data coverage in closure’s particularly helpful for application(s) in some areas while the radio interference conditions are concern. This article illustrates an advanced Li-Fi approach performing high-speed data transmission between two Personal Computers (PCs) utilizing the Arduino Nano-based technique. In the experimental phase, data is mainly used to be transmitted over red laser diode (630 nm) through (30 cm) in distance, a distance of 30 cm, achieving a high peak speed reach to about (512Bps). The proposed approach performance is computed by evaluating the most important and related metrics like Signal-to-Noise Ratio (SNR), Bit-Error-Rate (BER), and influence of throughput on input data over various light circumstance. The proposed approach mainly utilizes a keypad as a user input and two related detection models for both a solar cell and a photodetector in order to make a powerful comparison in terms of performance. the results showed that when the photodetector applies a higher-detection efficiency (via BER enhancement which reaches to 20% over solar-cell), the solar-cell clarify outstanding power and cost-activity. The mentioned findings are propped by elaborated statistical-analyses and MATLAB simulation to design, simulate and visualize the validate functionalities of the robustness and scalability properties of the proposed Li-Fi approach.

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.

The Automatic Identification System (AIS) is a maritime identification and tracking system that must be implemented on certain vessels in accordance with the regulations of the International Maritime Organization (IMO). One of the ways to enhance maritime safety on ships is by utilizing AIS. This research aims to develop a low-cost AIS intended for use on small vessels such as fishing boats. This study utilizes hardware components such as the GPS M8N, Arduino Nano, and LoRa RA-02 module. The LoRa module is chosen for its ability to transmit data over long distances with low power consumption, making it ideal for maritime applications. The Arduino microcontroller is responsible for controlling the entire system, while the GPS M8N is highly effective in achieving accurate positioning within meter-level precision. The Arduino Nano serves as the main component for receiving and processing data from the GPS M8N and LoRa RA-02, then transmitting the data to the receiver. The methodology and system design in this research follow an experimental approach, where at least one variable is manipulated to study cause-and-effect relationships. The test results of the AIS transmitter device indicate that it can successfully transmit call sign, latitude, and longitude data, with a maximum transmission range of 15 meters on land and 13 meters at sea.

Efficient and accurate fuel management systems are becoming increasingly important as energy needs and operational complexity increase in various industrial sectors. This study aims to design and implement a fuel flow monitoring and control system using a variable control valve. This system allows real-time monitoring of the level and flow of fuel in the service tank on the ship, as well as automated control. In its implementation, ultrasonic sensors, control valves are combined with LM2596 connected to Arduino nano for data collection, analysis and visualization. The test results show that this system is able to provide accurate data on the flow and level of fuel in the service tank on the ship by displaying the measurement results on the LCD and providing warnings via a buzzer. The LCD display shows the reading of the fuel level and valve opening in the tank. At a fuel level of 0 - 25% the valve will open 100% and requires an average filling time of 25 seconds, At a fuel level of 25% - 50% the valve will open 75% and requires an average filling time of 27 seconds, At a fuel level of 50 - 75% the valve will open 50% and requires an average filling time of 30 seconds, At a fuel level of 75 - 99% the valve will open 25% and requires an average filling time of 32 seconds.

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.

The increase in online buying and selling due to government appeals during the Covid-19 pandemic has created a new habit in society, which also serves to reduce physical contact and prevent the spread of the virus. However, with the increase in delivery of goods, challenges arise in maintaining the cleanliness and safety of received packages. To address this, a smart package receiving system was developed that features automatic sterilization using ultraviolet (UV) lights and disinfectant spraying on incoming packages. This system aims to prevent the transmission of viruses that may be attached to the package. In addition, the system helps monitor and secure packages, especially when the owner is not at home. The system uses a microcontroller as the control center, equipped with an ESP32-CAM camera to document photos of the sender, as well as an ultrasonic sensor to detect whether the package is in the box or not. The process starts when the courier presses the “there is a package” button, which sends an OTP code to the receiver's Telegram. The courier enters the OTP code, places the package in the box, and closes it. After that, the UV lamp turns on for sterilization, the ESP32-CAM photographs the package, and the ultrasonic sensor detects the package status. If the package is detected, a photo notification of the sender is sent to Telegram, informing the recipient that the package is ready for pickup.  

Smart Door Lock is a development of a conventional manual home door lock or padlock. This study aims to create alternative technology at home by utilizing available lock technology. This study uses an Arduino Uno Microcontroller as the brain of the solenoid and as a power supply for the fingerprint scanner, and an esp 32 microcontroller as a tool for sending fingerprint data to firebase. The fingerprint scanner is run using the Arduino Ide to add fingerprints. Arduino programming is done using the Arduino IDE. The results of the study are described in the form of designing an automatic home door lock using a fingerprint scanner and Arduino as a solenoid control. The fingerprint data results will be visible in firebase

SMK Negeri 3 Jayapura is one of the vocational schools specializing in technology engineering in Jayapura City. There are three primary issues at SMK Negeri 3 Jayapura. First, the limited competence of teachers in microcontroller programming. Second, there is a lack of facilities and infrastructure for microcontroller practical work. Third, the low achievement and interest of students in the latest technological developments. The proposed solutions in this community service activity include: conducting training on Arduino Uno and Espressif microcontrollers using the Arduino IDE programming platform, developing practical modules for microcontrollers, sensors, and actuators, providing a master file for Arduino Uno programs, installing the necessary software on school computers, conducting robotics training for students. All five solutions were successfully implemented and received positive appreciation from both students and teachers at SMK Negeri 3 Jayapura.

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.

Sinusitis is a health disorder commonly caused by factors such as air pollution, dust exposure, cold air, and smoking. With the rapid development of technology, there are now healing methods that do not rely on conventional medications, such as laser therapy. This research aims to develop a laser therapy clock equipped with sinusitis therapy using Low-Level Laser Therapy (LLLT). The system utilizes Arduino Nano as the main controller, an IR laser for the nose and hand, a DS18B20 temperature sensor to monitor the patient's temperature, and an OLED 0.96V display to show laser intensity and temperature values. This system aims to improve patient interaction with the device, providing a convenient and effective way to perform sinusitis therapy at home. The goal is to create a non-invasive, user-friendly solution for individuals suffering from sinusitis, with the potential to enhance treatment effectiveness, accessibility, and convenience, offering a promising alternative to traditional treatments.

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.