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This study discusses the design and development of an automatic safety system for a wood cutting machine using Arduino Uno, a PIR (Passive Infrared) sensor, and a servo motor as the main components. The system is designed to automatically stop the movement of the wood cutting machine when human motion is detected around the cutting area, thereby minimizing the risk of work-related accidents. The research method includes hardware design, microcontroller programming, and system response testing using two types of test objects: the human body and a wooden block. The results show that the system operates according to the programmed logic. When the PIR sensor detects human motion, the servo motor stops and the red LED lights up as a danger indicator. In contrast, when no human motion is detected, the servo motor continues to move normally and the green LED remains on as a safe indicator. The system’s average response time is 0.6 seconds, indicating a fast and accurate performance. Therefore, the designed system is considered effective and can serve as a prototype of a simple safety tool to enhance operator safety in wood cutting machines.

The main problem with the water heating system on offshore platforms is the absence of water level monitoring and automatic overflow detection. This has the potential to cause hot water spills that endanger workplace safety and operational efficiency. This research designs and implements a water level monitoring system based on the Arduino Uno microcontroller with HC-SR04 ultrasonic sensors. The system is equipped with LED indicators, a buzzer alarm, and a 16x2 LCD to display water level status in real-time. Water levels are classified into three zones (low, medium, high), and overflow is detected if the water is within 3 cm of the sensor. Testing was conducted on a 5-liter simulation tank representing actual 500-liter tank conditions. Test results showed a reading accuracy of 96% and a quick system response to overflow conditions (<1 second). This system is economical, easy to develop, and highly applicable for offshore environments. In addition, this system can be integrated with IoT technology for remote monitoring.

The braking system is a crucial component in a vehicle, where its performance is highly influenced by the wheel's rotational speed and the geometry of the brake pad. This study aims to analyze the impact of wheel rotational speed and variations in pad geometry on the temperature of the brake pad. The braking process generates heat due to friction, which, if not properly managed, can reduce braking performance and accelerate brake pad wear. The experiment was conducted at four levels of wheel rotational speed: 1000 RPM, 1500 RPM, 2000 RPM, and 2500 RPM. The testing system was designed using a braking system simulator equipped with a speed sensor (LM393) and a temperature sensor (K-type thermocouple), which were connected to an Arduino microcontroller and displayed in real-time through a Graphical User Interface (GUI) in MATLAB. The test results indicated that both the geometric shape of the brake pads and the wheel rotation speed significantly affected the resulting temperature. Standard brake pads produced the highest temperature at a speed of 2500 RPM, reaching 63.33°C. In contrast, brake pads with holes offered the best performance by maintaining a lower temperature of only 43.00°C. Furthermore, an increase in wheel rotation speed led to a noticeable rise in temperature; for standard pads, the temperature increased from 36.67°C at 1000 RPM to 63.33°C at 2500 RPM. This demonstrates that RPM is a major factor in heat generation due to friction. The MATLAB GUI effectively visualized the relationship between RPM and temperature, facilitating the analysis and evaluation of the data.

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%.

Work safety is always a priority, especially in the mining world which has a high potential for danger. Therefore, there are many regulations that must be obeyed, including the prohibition of smoking in the cabin of the Dump Truck unit. This study aims to design a cigarette smoke detector in the cab of a dump truck as a form of warning to drivers who violate the ban on smoking in the cab. The method used in this research is a quantitative method by conducting experiments. The research conducted is to analyze the effect of smoke thickness levels (20%, 40%, and 60%) on different sensor types (MQ-4 and MQ-7). The expected result is the effect of smoke thickness variation on the response time of different sensors.

This research presents the design and testing of an automatic color detection system using TCS3200 color sensor integrated with Arduino Uno microcontroller. The system was developed and tested using Wokwi virtual simulation platform before physical implementation. The TCS3200 sensor converts RGB light intensity reflected from objects into frequency signals, which are processed by Arduino Uno to classify colors into red, green, and blue categories. The system incorporates audio feedback using DFPlayer Mini module to provide sound notifications for detected colors. Testing results show that the system can accurately detect and classify primary colors with frequency-based thresholds: red (R<48 &R>37 & G<95 & G>85), blue (G<75 & G>65 & B<33 & B>23), and green (R<55 & R>40 & B<25 & B>5). The simulation validation demonstrates stable performance with consistent color recognition capabilities, making it suitable for industrial sorting applications and assistive technology for visually impaired individuals.

Blood transfusion is a critical medical procedure that requires the blood to be at a temperature close to normal human body temperature, approximately 36– 38°C. Transfusing cold blood can lead to serious complications such as hypothermia, coagulation disorders, and even cardiac arrest. Therefore, a reliable and automated blood warming device is essential to ensure safe transfusions. This study aims to design and modify a Blood Warmer Thawing device based on the Arduino Uno microcontroller as an innovative and cost- effective solution, particularly for healthcare facilities with limited resources. The system integrates a DS18B20 temperature sensor to monitor the temperature of the heating medium in real time, with data displayed on a 20x4 I2C LCD. Users can set the desired temperature via a 4x4 keypad, and the system automatically adjusts the heater performance based on the detected temperature. To enhance safety and operational efficiency, the device is also equipped with a buzzer as a warning indicator when the temperature exceeds the safe threshold, and utilizes a DC motor and cooling fan to maintain proper heat circulation. Test results indicate that the device is capable of maintaining the liquid temperature within the ideal range for blood transfusions, with high stability and fast response to temperature changes. This innovation offers a practical, affordable, and easy-to-implement solution to support effective and safe blood transfusion procedures in various healthcare settings.

An electrostimulator is a medical device designed to deliver controlled electrical stimulation to nerves and muscles, supporting rehabilitation and therapy for patients with neuromuscular disorders. This study focuses on designing and developing a portable electrostimulator that offers three distinct waveform modes: continuous wave, discontinuous wave, and dense-disperse wave, providing versatility for different therapeutic needs. The device is powered and controlled by an Arduino Mega 2560 microcontroller, coupled with a Nextion touchscreen LCD interface that allows users to adjust waveform type, frequency, and stimulation intensity with ease. Waveforms are generated through an NE555 IC circuit, with amplitude adjusted via a potentiometer and subsequently amplified using a step-up transformer to achieve therapeutic voltage levels. Functionality and performance tests were conducted using an oscilloscope, and the device was benchmarked against a commercial KWD-808 electrostimulator. Results demonstrate that the developed electrostimulator reliably produces the intended waveforms, achieving peak voltages up to 32V and frequencies ranging from 33.3 Hz to 66.6 Hz, confirming its effectiveness and feasibility for non-clinical nerve and muscle therapy applications.

Infusion Device Analyzer is a tool for testing the performance of an infusion pump and Syringe Pump. This tool measures flow and occlusion provided by the infusion pump and syringe pump. So a tool is needed to calibrate the infusion pump and syringe pump according to applicable standards so that swelling does not occur in the patient. The design of this calibration tool can also be used as student learning material so that students can understand and comprehend the working principles of the Infusion Device Analyzer. This tool is made using the Arduino Uno control system and there is an occlusion and flow measurement display along with room temperature and humidity which will be displayed on the Nextiton 4'3 Inch LCD. Accompanied by an optocoupler sensor as a liquid flow detector and an MPX5700AP sensor as a liquid pressure detector which is equipped with a DHT22 sensor as a room temperature and humidity meter. This calibrator tool is also equipped with a solenoid valve to regulate the entry of fluid to be measured between flow or occlusion measurements. The function test results show that the flowrate measurement of 10 is 12ml/h, 50 is 54ml/h, 100 is 105ml/h while the occlusion with a rate of 100 is 2.66 psi and the tolerance value for the parameters is appropriate. Therefore, the tool created is close to the desired plan and can be used as a suitable comparison of whether a Syringe Pump or Infusion Pump tool is suitable after repairs or during maintenance. This tool can also be used in learning for students to understand the parts of the working principle of this tool.

The rise in motor vehicle theft cases in various regions indicates the weakness of the security systems implemented by most users. Systems such as manual locks and alarms often fail to prevent crime, either because they are easily hacked conventionally or due to user negligence in their operation. In today's technological era, a system is needed that is not only secure, but also intelligent and practical. One promising solution is the implementation of a facial recognition-based security system. This study aims to design and test a vehicle security simulation system using facial recognition technology integrated with Arduino Uno and MATLAB. This system utilizes a laptop camera to capture the user's facial image, then performs a detection and verification process using the FaceNet algorithm. If the face is recognized and verified with data stored in the database, the Arduino will activate the actuator components in the form of a DC motor to simulate starting the engine, and a servo motor to simulate opening the vehicle door. This study uses a quantitative experimental approach to analyze the effect of variations in distance (30, 40, and 50 cm) and lighting brightness levels (10–20, 21–30, and 31–40 lux) on the system's response time. A total of 27 combinations of conditions were tested, and the data obtained were analyzed using Microsoft Excel and ANOVA tests in Minitab software. The results of the analysis showed that the optimal response time was obtained at a distance of 40 cm with a medium level of illumination (21–30 lux). In addition, both distance, brightness, and the interaction between the two factors were shown to have a significant effect on the system's response time (P-Value < 0.05). These findings indicate that the system is quite sensitive to environmental changes, so further testing is highly recommended, especially to measure the actual delay, the detection error rate, and the development of a more robust face detection algorithm so that the system can be used reliably in various lighting conditions and face capture angles in the real world.

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.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

This research aims to be able to meet the water supply of lettuce plants automatically by using three sensors such as soil moisture, water level, and water discharge. The goal is to provide water needs to plants automatically and regularly. The developed tool uses YL-96 sensor for soil moisture, HC-SR04 for water level and YF-S201 for water discharge. Sensor data is sent to the arduino to be processed using the fuzzy mamdani method so that these three data values affect the movement of the tap servo motor that flows to the lettuce plant. Fuzzy logic here as a decision maker from the value of 3 sensor data and then processed automatically by arduino using fuzzy mamdani to determine how many degrees the servo motor moves. The result is that the Lettuce Plant Water Needs Analysis System Automation Tool is able to maintain the water supply of lettuce plants and soil moisture ideally at 76% with a servo motor movement system success rate of 100%.

In the modern era, the need for sophisticated vehicle security systems is increasing along with the high rate of motor vehicle theft. This research designs and implements a fingerprint sensor-based vehicle security system using an Arduino Uno microcontroller. This system aims to improve security by utilizing biometric technology that can only be accessed by verified users. The fingerprint sensor is used to recognize the user's fingerprint, then activate the system through a relay instead of a conventional key. System testing shows a fast response time with an estimated rise time of about 0.5 seconds and settling time of about 2 seconds, without any misidentification (false positive or false negative). Thus, the system is proven to provide higher security, good authentication speed, and ease of use compared to conventional security systems. These results show that the implementation of biometric technology in vehicles has the potential to be widely applied.

Engine overheating is a critical condition that can cause damage to internal components, reduce operational efficiency, and lead to overall system failure. The absence of an automatic protection system is one of the primary factors contributing to damage. This study aims to design and test a temperature sensor-based safety device that can automatically cut off the engine's working system when the temperature exceeds the safe limit. The method used is descriptive statistical analysis to evaluate the effect of independent variables (operational time duration and workload) on the dependent variable (coolant temperature). The system was tested through water heating simulation using an electric heater and controlled by an Arduino Nano microcontroller, a MAX6675 temperature sensor. Testing was carried out with variations in power load (150, 300, 450, 600, and 750 Watts) and operational duration (20, 40, and 60 minutes). Temperature data were collected and analyzed using ANOVA to determine the effect of load and time on temperature increase. The results showed that the temperature increased significantly with increasing power load, with temperatures approaching 100°C at loads ≥450 Watts in less than 20 minutes. The load variable shows a significant effect on temperature (p < 0.05), while the duration of time shows a nonlinear but not statistically significant upward trend. The safety device is proven to be able to automatically disconnect the system when the temperature reaches the specified maximum limit, thus effectively preventing engine damage due to overheating.

Proses budidaya jamur tiram sangat tergantung dengan kestabilan pada kondisi lingkungan, terutama suhu ruangan dan kelembapan yang harus di perhatikan oleh para petani.  Hal ini menjadi permasalahan ketika proses pemantauan dan pengendalian lingkungan secara manual dilakukan, membutuhkan tenaga yang kuat dan waktu yang cukup besar. Penelitian ini bertujuan Mendesain rancangan sistem monitoring dan kendali suhu ruangan budidaya jamur tiram secara otomatis dan jarak jauh berbasis teknologi Internet of Things (IoT) untuk para petani. Dalam proses sistem ini penelitian ini memanfaatkan sensor suhu dan kelembapan DHT11 sebagai input, mikrokontroler Arduino Uno sebagai pemroses data, dan modul ESP8266 sebagai pengirim data nirkabel ke aplikasi Android berbasis Blynk.  Adapun metode dalam penelitia ini digunakan pengembangan yang digunakan adalah Software Development Life Cycle (SDLC) model waterfall, dan menganalisis kebutuhan, perancangan sistem, implementasi, pengujian, hingga pemeliharaan. Hasil pengujian menunjukkan bahwa sistem mampu membaca suhu dan mengaktifkan blower (kipas) secara otomatis ketika suhu melebihi ambang batas, serta menampilkan data suhu dan status kipas secara real-time melalui aplikasi Blynk. Dengan adanya sistem ini, pemantauan dan pengendalian lingkungan budidaya jamur dapat dilakukan lebih efisien dan fleksibel dan mendukung produktivitas budidaya secara optimal.

Liquid Petroleum Gas, commonly known as LPG, is widely used in household activities, especially for cooking. However, its flammable nature makes this gas very hazardous if a leak occurs, which can result in an explosion that damages buildings, endangers the safety of those living there, and causes financial losses. Recently, the improper or unsafe use of LPG gas has led to numerous accidents and fires. This raises serious concerns for the people who use it. LPG gas leaks are often difficult to detect due to various factors, such as the absence of the gas's distinctive odor or the absence of people around the leak location. This study aims to detect gas leaks to minimize or prevent fires and LPG gas explosions. The methods in the research that will be carried out include identification, literature study, data collection, design, implementation, system testing, and conclusions. In this study, the design and implementation of an LPG gas leak detection system based on Arduino will be carried out to minimize this risk. The system will use MQ-2 to determine the concentration of LPG gas in the air. When a leak is detected, the Arduino microcontroller will process the input and automatically close the solenoid and activate the buzzer as an alarm. The implementation and testing results concluded that the system can detect LPG leaks above 600 ppm and respond effectively by cutting off the gas supply and providing an audible warning. This system is expected to improve household safety by providing early warning of gas leaks. Future developments may include integration with an Android app for smartphones, enabling more practical remote monitoring.

Water is an essential resource for every household. Typically, household water distribution systems rely on PVC pipes and faucets. Despite this, water leakage remains a frequent issue, occurring in both pipes and taps. This study aims to design an Arduino-based automatic faucet control system capable of detecting leaks in water pipes, with the goal of conserving water and improving usage efficiency. The system employs a pressure sensor to monitor water pressure within the pipe, an ultrasonic sensor to detect user presence at the tap, and a solenoid valve to automatically shut off the water supply in the event of a leak. Testing and design outcomes indicate that the system functions effectively. The solenoid valve successfully closes the water flow automatically when a leak is detected. However, the current system lacks a notification feature to alert users when a leak occurs. Future developments should consider integrating a notification mechanism to inform users promptly about any detected leaks.

Technology is now increasingly advanced and developing rapidly. Almost every aspect of human life is now assisted by technology, especially computerized technology. This technology has penetrated almost all aspects of life and significantly increased efficiency in completing work. With the existence of computerized technology, many processes that were previously time-consuming and labor-intensive can now be done more quickly, easily, and efficiently. One example of the application of technology in everyday life is the design of a smart cupboard for storing shallots. This smart cupboard is designed to help shallot farmers and sellers store their agricultural products more efficiently. The working system of this tool is similar to the method of storing shallots in traditional huts, but with more sophisticated technology. This smart cupboard can regulate temperature and humidity automatically, which is very important to maintain the quality of shallots. The optimal temperature for storing shallots is between 25º - 30º C, with air humidity around 50% - 60%. If the temperature or humidity in the cupboard does not match the desired conditions, the system will automatically activate the lights and fans to return the temperature and humidity to the desired level. With this automated control system, shallots can be kept fresh for longer, reducing the damage that typically occurs to shallots due to unstable temperature or humidity. The advantage of this smart cabinet is that it can maintain the quality of shallots for a long time, even when stored in large quantities. This greatly assists farmers and traders in reducing losses due to perishable shallots and increasing the efficiency of shallot storage and distribution.

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.