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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.

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.

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.

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.

This community service initiative was carried out with the aim of introducing and training students of SMP Islam Sawahan Turen in programming and utilizing Arduino and ESP32 microcontrollers as a foundation for understanding modern technology. The workshop was specifically designed to provide students with knowledge of basic electronic concepts, sensors, and data communication, while also equipping them with practical skills to create simple microcontroller-based projects. During the sessions, participants received explanations about Arduino and ESP32, including how to connect sensors, process collected data, and transmit information to the Internet of Things (IoT) platform. In addition to the theoretical materials delivered, students were given opportunities to engage in direct practice under the guidance of experienced instructors, allowing them to gain a deeper comprehension of how the devices function. The combination of theory and practice helped students strengthen both their conceptual understanding and their technical abilities. Furthermore, the activity aimed to foster creativity and curiosity among participants in designing innovative projects that have real-life applications. This spirit of exploration is expected to nurture problem-solving skills, adaptability, and technological awareness from an early age. Beyond simply broadening students’ technological insights, the program also contributes to the enhancement of their competencies and preparedness in facing challenges of the digital era, ensuring that they can continue to grow as innovative learners and future innovators.

This community service program aims to strengthen the competence of automotive workshop MSMEs in mastering microcontroller-based starter system technology, enabling them to adapt to the era of vehicle digitalization. The program was carried out through several stages: identification of training needs, delivery of basic theory on microcontrollers and starter systems, practical sessions in module assembly and programming, followed by mentoring and evaluation. The results of the evaluation showed an 85% increase in participants’ understanding of the digital starter system concept, an 80% improvement in module assembly and programming skills, and a 75% increase in readiness to apply innovative starter systems in workshop services. The novelty of this activity lies in the development of a more applicable digital starter system model tailored to the needs of small-scale workshops. The implementation emphasized a participatory, practice-based approach using learning by doing. Participants, mainly workshop owners and technicians, were guided step by step from component recognition, software operation with Arduino IDE, to the prototyping of functional microcontroller-based starter systems. To ensure sustainability, the program also provided training modules, video tutorials, and online mentoring, allowing participants to continue practicing independently after the training. Beyond improving technical competence, this activity also fostered an innovative mindset among participants, making them more confident to provide modern, technology-oriented services. In the long term, the program is expected to enhance the competitiveness of automotive MSMEs, strengthen customer trust, and build collaborative networks between higher education institutions and local workshops in supporting vocational education and digital transformation.

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.

Maintaining stable cage temperature is a crucial factor in the success of broiler chicken farming, especially in close house systems that rely on optimal microclimate control. Temperature instability can lead to thermal stress, reduced growth rates, and increased mortality in broilers, particularly during the early stages of life (0 to 30 days old). This study aims to design and implement an automatic temperature control system based on the Arduino Uno microcontroller integrated with a DHT11 temperature and humidity sensor in the broiler chicken cages of PT. Barokah Restu Utama. The system is designed to read temperature and humidity in real-time and automatically activate or deactivate cooling devices such as fans or heating devices like incandescent lamps, depending on the temperature range required for each growth phase. The ideal temperature range used as a reference in this system includes 30–32°C for chickens aged 0–7 days, 29°C for ages 8–14 days, 28°C for ages 15–21 days, and 26–27°C for chickens aged 22–30 days. Testing results show that the system is capable of maintaining stable temperatures according to the specified standards for each growth phase. With this automatic control system in place, broiler chicken maintenance becomes more efficient and effective. The risk of mortality due to heat stress is significantly reduced, and chicken growth becomes more optimal. This technology offers a practical and economical solution, especially for small- to medium-scale broiler chicken farmers who use close house systems. The system is easy to operate and relatively affordable to install, making it an accessible innovation that supports better livestock management through automation and smart farming practices.

This research aims to develop a digital weighing scale based on Arduino Nano that can be used to accurately measure the weight of products in micro, small,and medium enterprises (MSMEs) producing ginger powder, specifically for the MSME "Bubuk Jahe Bu Mai." Additionally, this research also includes the design of attractive and practical packaging to enhance the product's appeal in the market. The implementation of this digital weighing scale is expected to improve efficiency in the production process and ensure product weight consistency, while the packaging design aims to attract consumers' attention and enhance the product's image. The method used is research and development (R&D) with a product design approach and tool testing. The results of this research show that the developed digital weighing scale can produce accurate measurements with a very small margin of error. The packaging design also successfully improved the product's presentation, which can attract consumers' attention. The implementation of these two components is expected to improve the quality of "Bubuk Jahe Bu Mai" products and provide a positive impact on the product's competitiveness in the market.

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.

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.

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.

Sterilization occupies a fundamental position in the domain of dentistry, ensuring that the instruments utilized are entirely devoid of pathogenic microorganisms. An autoclave sterilization apparatus employing the dry heat technique, based on the Arduino Uno platform, is essential in providing a robust and effective methodology for the sterilization of dental instruments. The hardware configuration is comprised of a heating element, a temperature sensor, and a control system that is meticulously designed to uphold temperature with precision and reliability. The sterilization of dental instruments is imperative for upholding hygiene standards and averting cross-contamination. The primary aim of this research is to devise a sterilization device that is both efficient and effective through the implementation of the dry heat method, which is regarded as safer in comparison to traditional steam-based techniques. The architecture of this autoclave incorporates an Arduino Uno microcontroller as the central controller of the system, which autonomously regulates the temperature and duration of the sterilization cycle. The temperature sensor and heating element are systematically interconnected to maintain the temperature within the optimal range (100-150°C), which is critical for effective dry heat sterilization. Furthermore, a user-friendly interface has been integrated to facilitate the oversight of the sterilization process. This apparatus is adept at executing the sterilization procedure efficiently within a reduced timeframe, without compromising the integrity of the sterilization results. The system provides enhanced control and can be tailored to meet specific user requirements, thereby positioning it as an ideal solution for cost-sensitive dental clinics. This innovation is expected to significantly elevate hygiene standards within dental practices and may stimulate considerable advancements in the healthcare sector.

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.

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.

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.