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Manual post-harvest paddy stirring requires significant time and labor and often results in uneven mixing, which can affect grain quality. To address this issue, this study designed and implemented a prototype of an Internet of Things (IoT)-based paddy stirring robot to simplify the process and improve efficiency. The system utilizes an ESP32 microcontroller as the main controller, DC motors as the stirring mechanism, and an IoT module for wireless connectivity to a mobile application. The research stages included hardware design, control system programming, IoT platform integration, and performance testing. Testing was conducted to evaluate response time, mixing uniformity, and power consumption. The results showed that the system could be operated remotely via a local Wi-Fi network with an average delay of less than 1 second, enabling real-time control. The prototype successfully stirred 0.3 kg of paddy with a mixing uniformity rate of 92% and an average power consumption of 12 watts. The application of IoT in the paddy stirring mechanism significantly improved time efficiency, reduced manual labor requirements, and maintained grain quality compared to traditional methods. These findings indicate the potential for further development into a large-scale automated paddy processing system with integrated humidity and temperature sensors for real-time quality monitoring, supporting the modernization of post-harvest processing through digital technology.

Waste management remains a major challenge, particularly due to the lack of public awareness and habits in sorting waste from its source. Innovative technology-based solutions are needed to support more effective waste management systems. This study aims to design and develop an Internet of Things (IoT)-based smart trash bin capable of automatically sorting metal and non-metal waste. The system utilizes an ESP32 microcontroller as the main controller, an LJ12A3-4-Z/BY sensor to detect metal materials, an E18 sensor to detect non-metal materials, and an ultrasonic sensor to monitor bin capacity. The waste separation mechanism is operated by a servo motor controlled by the system, while the Blynk application is integrated for real-time monitoring and full-capacity notifications sent directly to the user’s smartphone. The research stages included hardware design, microcontroller programming, IoT platform integration, and functionality testing to ensure system performance and reliability. The results showed that the smart trash bin operated as expected, successfully identifying and separating metal and non-metal waste automatically, while also sending real-time notifications to the user when the bin approached full capacity. The implementation of this technology has the potential to modernize waste management processes, improve the efficiency of waste sorting, and reduce dependency on manual labor. Furthermore, this research opens opportunities for future development by integrating additional sensors and cloud-based data management systems to support smart city initiatives and sustainable waste management practices.

This research develops an automated temperature control system for water heaters, that is both efficient and stable, driven by the need for energy-saving heating solutions, particularly for marine applications. The main objective was to create an automatic system capable of maintaining water temperature within an optimal range while maximizing energy efficiency through the use of thermal storage materials. The methodology involved an on-off control system based on a microcontroller as the main controller, capable of processing temperature sensor data in real time. This system intelligently activates and deactivates the heater to keep the water temperature stable. Paraffin wax was used as a latent heat storage medium, playing a crucial role in gradually storing and releasing thermal energy to support temperature stability. An automatic water heater system based on the ESP32 microcontroller with an on-off control mechanism was successfully designed using paraffin wax combined with silica sand as a thermal storage medium. The addition of silica sand significantly enhanced heat conductivity and temperature stability. Test results showed a substantial reduction in energy consumption, with daily savings reaching Rp12,762.88, equivalent to 67% of total daily energy costs. Over a one-year period, the total savings amounted to Rp4,658,103.20, demonstrating that the paraffin wax–silica sand combination is highly effective in improving energy efficiency and reducing long-term operational costs.

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.

The aim of this study is to design a battery charging system using solar panels, integrated with an IoT-based monitoring system to improve efficiency and ease of supervision. The system utilizes the photovoltaic effect to convert solar energy into electrical energy, which is then stored in a battery through the regulation of a solar charge controller. The main components in this design include a solar panel, lead-acid battery, ESP32 microcontroller, current and voltage sensors, and the Blynk application for remote monitoring. The research method involves several stages, including the design of hardware such as solar panels, current and voltage sensors, and a step-down regulator, as well as software development using the Blynk platform and ESP32 programming. Test results show that the system is capable of achieving charging efficiencies between 89.45% and 99.57%, with optimal performance under clear weather and maximum sunlight conditions. The IoT system performs well up to a distance of 10–15 meters, with an average data transmission delay of less than 1.5 seconds. Therefore, this device proves to be effective as an independent battery charging and energy monitoring solution in locations without permanent electricity access.

The detection of hazardous gases, such as carbon monoxide (CO), is crucial for ensuring human safety and health, especially in enclosed environments or areas with a high potential for exposure to toxic gases. Carbon monoxide is a colorless, odorless gas that is extremely dangerous when inhaled in large amounts. Therefore, a CO detection system that can provide early warnings is essential. This research aims to design a carbon monoxide (CO) detector using the MQ-7 sensor, which can detect CO concentrations in the air. The detection system is developed based on Internet of Things (IoT) technology, enabling real-time CO detection data to be transmitted to a cloud platform or user devices via an internet connection. This allows users to monitor CO levels in their environment anytime and anywhere. The system consists of the MQ-7 sensor to detect CO levels, a microcontroller as the controller, and a communication module to send data to the internet. The main advantage of this system is its ability to notify users if CO levels exceed a safe threshold. Thus, this detector can function as a preventive tool against CO exposure accidents. The use of IoT in this system also facilitates remote monitoring, improving the effectiveness and efficiency of managing a safe environment.

Floods are natural disasters that often occur in Indonesia and cause damage to property, infrastructure, and casualties. One of the main factors causing flooding is the failure of water management systems such as reservoirs to manage the sudden increase in water volume. This research aims to design an automatic reservoir sluice controller by utilizing Internet of Things (IoT) technology to reduce flood risk. The system uses a NodeMCU ESP8266 microcontroller and an HC-SR04 ultrasonic sensor to monitor the water level in real-time, as well as a servo motor that controls the sluices. The system is connected to the Blynk app, allowing remote monitoring and control of the sluice gates via mobile devices. This tool automatically adjusts the position of the sluice gate based on sensor data to keep the water level safe and reduce the potential for flooding. The test results show that this IoT-based automated system is able to work effectively in controlling sluice gates and can be used for flood disaster prevention in the surrounding environment.

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.  

This paper presents an IoT-enabled dual-axis solar tracking system that integrates  a Kalman filter and a Proportional-Integral-Derivative (PID) controller to enhance tracking accuracy, energy efficiency, and operational stability. Addressing the ongoing challenge of maxi- mizing photovoltaic (PV) panel output, the proposed system leverages an ESP32 microcontroller and the Blynk platform to provide real-time monitoring, remote parameter adjustments, and flexible connectivity. Light Dependent Resistor (LDR) sensors measure sunlight intensity from multiple directions, while MG90S servo motors dynamically adjust the panel’s azimuth and elevation. The Kalman filter refines noisy sensor data to yield precise sun position estimates, enabling the PID controller to respond quickly and accurately to deviations in panel orientation. Through extensive testing conducted over several days, including both clear and partially cloudy conditions, the system achieved an average Root Mean Square Error (RMSE) as low as 1.2° under clear skies and maintained RMSE below 2.0° even under partial shading. Compared to a fixed-panel baseline, daily energy harvesting improved by approximately 43%. These results confirm that advanced estimation and control algorithms, when combined with IoT functionali- ties, significantly outperform simpler tracking methods and static installations. Furthermore, the low-cost, compact design and user-friendly interface facilitate practical deployment in a range of scenarios, including small-scale and off-grid installations. By ensuring continuous alignment of the PV panel with the sun, the system not only increases overall energy capture but also reduces maintenance requirements through remote oversight. This research thus offers a robust, scalable approach to improving solar energy utilization in diverse and evolving environmental conditions.

Closed house chicken coop is an innovation from the development of technology in the livestock sector. In closed house chicken coops, many arrangements and adjustments to environmental conditions in the chicken coop are carried out which are expected to increase broiler chicken production. In this study, researchers created a centralized control system on 2 closed house chicken coops to make it easier for broiler chicken entrepreneurs to monitor and control the closed house chicken coops owned by the entrepreneur through one place, without having to go directly to the closed house chicken coop to monitor and control the chicken coop which of course will be quite draining time and energy. This study uses Haiwell Cloud Scada as an interface device connected to the Arduino Nano microcontroller, DHT-22 sensor as a humidity and temperature detector sensor, MQ-135 sensor as an Ammonia gas detector, water level sensor as a reader of the remaining chicken drinking water level, IR sensor as a reader of the remaining chicken food level, DC fan which has 2 functions, namely inlet and exhaust in the chicken coop. Servo motor as a silo damper controller to fill chicken food from the silo to the chicken feeder located in the chicken coop.

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.  

In order for life to exist on Earth, water is required and is particularly important on ships. Concerns about water scarcity arise because water resources cannot always meet demand. pH has an impact on the quality of drinking water, with an ideal range between 6.5-8.5. Alkaline water with a pH of 8.8 has health benefits, including helping to lower stomach acid and improve body oxygenation. The pH of drinking water recommended by the EPA is between 6.5-8.5 to ensure safe consumption. pH is a measure of the acidity or basicity of water, on a scale of 0-14, where 7 is considered neutral. The research plans to make a drinking water pH control system using an ESP 32 microcontroller. This research aims to control also monitor the pH of drinking water efficiently using ESP 32 microcontroller. This research uses the Research and Development (R&D) method to design pH control in drinking water solutions. The phases of the research include using a pH sensor to detect pH values, using an ESP 32 microcontroller to control pH, and validating and improving the product model. Overall system testing in the design of a drinking water pH controller system from water treatment is an important stage to ensure successful integration between all components and desired functionality. This testing process includes several main stages, Hardware Integration Testing: All hardware is physically connected and integrated, including ESP32, relays, solenoid valves, and pH sensors. This test is taken to ensure that all components are properly installed and interact with each other correctly. Software Integration Testing: This type of testing verifies that all features and functions of the system function as intended by the software program responsible for it. This includes testing Wi-Fi connections, integration with the Blynk platform, and programming logic as an automatic water controller. Testing System Functionality: to ensure that the intended features can be run properly, the system is tested in various usage scenarios. This includes testing the water controller automatically. the designed system can function normally and adjust appropriately to the designed controller system. From the data obtained regarding the performance results of the system built, it was found that the pH controller system can be run automatically based on the water that has been set as the set point of the system created. The monitoring system with IoT is also able to run well. The time needed will be more to control the pH in the range of 6.5-8.5.

Rainfall monitoring is an important aspect of meteorology and water resources management. The development of a microcontroller-based rainfall monitoring device that can transmit data in real-time through the Telegram application offers an effective and efficient solution to overcome the constraints of manual monitoring. This research aims to design and build a rainfall monitoring system that uses a microcontroller as the main controller and the Twilio platform as a data transmission service via Telegram. This tool is designed to measure rainfall intensity using a hall effect sensor, which is then processed by a microcontroller. The rainfall data obtained will be sent to the user's device via Telegram message. This system is expected to provide accurate and timely information to users, so that it can be used in various applications such as agriculture, flood monitoring, and water resource management. The test results show that this rainfall monitoring tool is able to send data quickly, this tool is expected to increase efficiency and effectiveness in rainfall monitoring and make a significant contribution in the field of meteorology and environmental management.

An automatic water level controller mechanism in a water tank is needed to maintain the availability of water supply. One way is to create a control system that uses an ultrasonic sensor as a detector of the water level that is fed back to the water tank filling pump. To minimize fluctuations in sensor readings, a mechanism is needed to minimize the occurrence of water ripples. To provide easy information to users on site, a monitoring system in the form of an LED indicator is also added that informs the condition of the water level in the water tank. Therefore, in this study, a tool will be created that can automatically control and monitor the water level based on Arduino Uno which uses an ultrasonic sensor and LED indicator with a wave ripple holder

Inductive loads on ships are loads that cause the power factor value to move away from 1.00, especially if the addition of this type of load exceeds the standard and the load is installed unbalanced, it can worsen the power factor value. A low power factor value results in soaring current values and reactive power, which often results in cable insulation burning and reduced efficiency. The aim of this research is to create a tool that can automatically correct low power factor values using a Capacitor Bank, PZEM-004T sensor and ESP32 controller at certain inductive loads and can monitor and record electrical load parameter data from various areas on the ship online and offline. This research uses a trial and error method. Based on the test results, this tool can automatically improve the power factor value of inductive loads in the form of TL lamps and electro motors to above 0.90 and the working current value of TL lamps can be reduced from 0.30-0.31 A to 0.17-0.18 A. Electro motors experience a decrease in current from 0.74-0.76 A to 0.66-0.68 A. This tool is also equipped with a system for monitoring and recording load parameter data using Google Spreadsheet when an internet connection is available. If an internet connection is not available, the recording will be transferred using Micro-SD.

Honey is a natural liquid that contains a lot of sugar produced by bees (genus Apis) from flower nectar and has a sweet taste. Honey contains a multitude of benefits that are good for the body, including being a source of nutrients, improving body metabolism, anti-bacterial, and others. The purpose of designing the Honey Harvest Monitoring System with ARDUINO-based IOT is to help breeders maximize honey harvesting results. This study aims to design an intelligent system for controlling the temperature in bee hives, humidity in bee hives, and monitoring honey yields, measuring the temperature and humidity of the storage room using DHT 11 sensors, and monitoring honey harvest time using Load Cell sensors. The temperature and humidity controller in the cage uses a blower/fan. Sensor data will be processed using the Wemos D1 R1 microcontroller and then sent to an Android application via the internet network using a real-time Firebase database so that it can be accessed anywhere and anytime. The way this system works is that if the room temperature is >38 degrees Celsius, the blower/fan will turn on, and will turn off if the temperature is 40%, the artificial window will open and will close if the humidity is

In this final project the author discusses the problem entitled "Design of Smoke Detector and Room Temperature of SAP ERP Server at PT Apac Inti Corpora". This design aims to support the improvement of the security system in the server room with smoke and temperature detectors and microcontroller-based automatic countermeasures. Against the background of problems with sensors and countermeasures systems in the server room and lack of insight into sensor installation. This tool uses a gas sensor MQ-2 as a smoke detector, a DHT-11 sensor as a temperature detector, Arduino as a microcontroller that controls I/O, buzzer and LED as an alarm, a fan as a temperature controller, and an LCD to display conditions in the room. The output of the MQ-2 and DHT-11 sensors will be processed in a programmed microcontroller so that it can display conditions on the LCD. This tool will turn on the alarm and fan if smoke and high temperature are detected at the specified conditions.

For blind people, assistive devices to carry out daily activities are needed. If you don't use assistive devices, blind people will experience difficulties when carrying out daily activities such as reaching the obstacles that are near them. In designing the system using the Arduino UNO R3 microcontroller board as a controller, five ultrasonic proximity sensors to determine the distance and position from the user to the front and lower obstacles. In addition, the MP3 module and headseat are used as a marker for sound in the form of sound when detecting an object and the SIM800L module is used to send SMS and the GPS module is used to determine coordinates. The validation test shows the value of 31.5 is between 31- 40 which means that it is located in a Very Good (Valid) value. Keywords: Walking Aid, Blind, Ultrasonic Sensor, Microcontroller, Arduino Uno, GPS