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This research develops a prototype of an automatic watering device based on the Internet of Things (IoT) and a soil moisture sensor to improve the efficiency of watering crops in agricultural fields. The main problem addressed is the consistency and efficiency of watering in large agricultural fields, where traditional management is prone to human error and inefficient water use. The developed prototype uses an ESP8266 microcontroller (NodeMCU) as the brain of the system connected to a Wi-Fi network, allowing remote monitoring and control via the Blynk application. A soil moisture sensor is used to detect soil conditions in real-time, triggering watering only when needed. This helps optimize water use and increase agricultural productivity sustainably. This research outlines the methodological steps from design, manufacturing, to implementation of the prototype in the field. Evaluation of the results shows that the system successfully regulates watering effectively based on soil conditions, with positive responses from farmers as end users.

The need for urban communities to consume vegetables is increasing. This has caused people to start cultivating vegetables using hydroponic techniques. However, due to their busy activities, they do not have enough time to monitor and control hydroponics, which must always be in ideal conditions. This paper designs and implements an Internet of Things-based monitoring system to help hydroponic owners monitor their hydroponics anywhere and anytime. The built system requires a monitoring device assembled using a NodeMCU ESP8266 microcontroller, a pH detection detector sensor, and a DHT22 temperature and humidity sensor. This system uses the Mamdani Fuzzy Logic algorithm to determine warnings to be displayed on the application interface when the water pH, temperature, and humidity are in certain conditions. The Mamdani Fuzzy Logic algorithm can interpret environmental data into a warning that humans can easily understand, even if they lack technical expertise. In addition to being able to help monitor, this system also allows owners to find out what elements need to be added or changed for their hydroponic place. Our evaluation results show that the defuzzification stage in the application has high accuracy, which is 99.92%, compared to Matlab’s results.

The light steel roll forming machine is a tool used in the manufacturing industry to continuously shape steel sheets into specific profiles. Efficiency and accuracy in production heavily depend on the control system employed. This article discusses the implementation of an automatic control system in a light steel roll forming machine, focusing on the use of sensors, actuators, and a microcontroller-based control system. Additionally, the system is equipped with a digital printing machine to directly print product branding and light steel specifications. The research results indicate that the application of an automatic control system enhances product precision, improves production efficiency, and reduces the defect rate.

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.  

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.

Push Up is a physical activity carried out by individuals that aims to strengthen the muscles of the body, namely the muscles of the arms, shoulders and chest. Designing an IOT-based detection and monitoring system with the aim of making it easier for tool users to know the number of repetitions and the number of calories used automatically. Detectoring with the help of four proximity sensors to detect motion when doing push-ups and monitoring using an android application made specifically for the device. The component used is NodeMCU ESP8266 as a microcontroller. The parameters displayed in the application include a column of push-up repetitions, a column for the number of calories used, and a graph of increasing push-up repetitions. The tool testing method was carried out 15 times for data collection with 20 push-up repetitions for each data collection. The results of the test, obtained an error percentage of 1.33%. So that this tool can help users to monitor the repetitions that have been done and find out the amount of calories used.

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.

Viscosity is a fluid property that causes friction between fluid-forming molecules and the fluid cohesion force. Viscosity is also a measure of the thickness of a fluid which states the size of friction in the fluid, the size of the viscosity we can see from the ability of the fluid to flow, the greater the viscosity of a fluid it will be more difficult the fluid to flow. Oilis one of the fluids used as oil, where oil viscosity is very important to learn to find out if this oil can still work well. Measurements are made by measuring the speed of oil flow on a horizontal pipe using a flow meter sensor that has been placed on the pipe and the oil will flow using a pump. The oil flow velocity in the measurement will be converted into a form of oil viscosity to be measured. In this experiment the measurement results obtained for each oil such as SAE 10W-40 Oil by 0.170655208 Nm / s2 with an error of 6.4%, SAE 15W-40 Oil by 0.203941381 Nm / s2 with an error of 11.2%., and SAE 20W -50 Oil of 0.218243364 with an error of 14.8%.

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

Technological developments in the agricultural sector, especially in the hydroponic method, provide solutions for optimizing plant growth in urban environments. This research integrates ESP32 microcontroller technology with a DS18B20 temperature sensor and TDS sensor to monitor and control temperature and nutrient quality in a hydroponic system. In addition, the Sugeno fuzzy logic method is used for automatic water quality monitoring.

The shipping industry faces challenges in reducing environmental impact and increasing operational efficiency. Among them are the expansion tanks on ship engines which play an important role in maintaining the pressure and water quality of the engine cooling system, which is still run manually on some ships. This can result in the risk of engine damage due to overheating or unstable pressure. Manual water filling that requires crew supervision can cause operational instability. This research designed a prototype of an automatic water filling system for expansion tanks, using microcontroller-based automation technology and an Internet of things system to make monitoring easier. This system aims to increase efficiency and reduce the risk of engine damage, thereby supporting the sustainability of ship operations in the future. In the trials that have been carried out, this tool is able to operate the expansion tank filling automatically and efficiently. The distance sensor used has high accuracy with a largest error of 1.6%, and an average error of 0.01%. Integration with the Internet of Things system can run well and reliably with 100% success and latency of 0.5 – 1 second. The system's overall success rate is 80%. So the system can be used in real working conditions

The human body cannot work properly without water. Therefore, it is essential to conduct testing and monitoring of drinking water quality to ensure its safety and suitability for consumption. This has prompted researchers to develop more efficient systems compared to traditional methods. This study employs a systematic literature review approach by analysing various published articles to identify and evaluate the application of different types of sensors capable of detecting physical and chemical parameters for assessing drinking water quality. The findings indicate that the integration of sensors, microcontrollers, and Internet of Things (IoT) technology can provide accurate data that is accessible in real-time and remote locations. Furthermore, to enhance the reliability of the system, it is necessary to further develop data processing algorithms by applying artificial intelligence (AI) and/or machine learning technique to create smart systems with improved predictive capabilities. The implementation of these technologies is expected to support the Indonesian government’s Sustainable Development Goals (SDGs) by providing safe and affordable access to drinking water for all its citizens.

Pineapple sambal, a traditional dish from Jambi, is known for its spicy and tangy flavors but has a short shelf life due to its high water and acid content. This study analyzes the effect of shelf life on the quality of pineapple sambal (color, aroma, taste, and texture) using a pure experimental method and ANOVA analysis at room temperature (25–30°C) over a period of 1–7 days. The results indicate significant differences in all sensory parameters (p < 0.05). The best quality was observed from the first to the third day, with a significant decline starting on the fourth day. By the fifth day, the fresh aroma shifted to an undesirable sour smell, the texture became mushy, and the color faded due to microbial activity and oxidation. These findings are relevant to the food industry for developing airtight packaging or cold storage solutions. The study concludes that the optimal shelf life of pineapple sambal at room temperature is three days, supporting the preservation of Jambi's culinary heritage and its development into a competitive commercial product.

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

Microcontroller-based information systems play a crucial role in enhancing the efficiency and effectiveness of various automation and monitoring applications. However, many manual processes across different fields require time and are prone to errors. This study aims to develop a microcontroller-based information system to automate real-time data collection and monitoring in various applications, such as industry, environment, and smart homes. The method used involved the development of a prototype system designed to integrate sensors and microcontrollers in data processing and automated decision-making. The results showed that this system significantly improved the efficiency, accuracy, and speed of data processing while minimizing human intervention. In conclusion, microcontroller-based information systems offer innovative solutions that can be widely applied across various fields to enhance performance and service quality.

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

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 research focuses on the design and implementation of an automatic parking barrier system using a microcontroller. The objective is to create an efficient and reliable system that automatically controls the parking barrier in response to vehicle detection. The system utilizes an infrared sensor for vehicle detection, which is processed by a microcontroller to control a servo motor for opening and closing the parking barrier. The research method includes simulation using Proteus software followed by physical implementation. Results show that the system operates efficiently with a quick response time of 1-2 seconds for barrier movement. The conclusion is that the system is effective in automating parking barrier control, reducing human error, and improving parking management. Further improvements can be made by enhancing sensor sensitivity and integrating additional technologies.