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The unwise use of electrical energy in households can lead to energy wastage and pose risks such as short circuits, which may result in fires. This research developed a Node-Red-based protection system using an ESP8266 microcontroller and a PZEM 004-T sensor to detect voltage, current, and power in real-time. The system automatically disconnects the current when overload conditions are detected, especially on extension cables. Testing was conducted on household devices such as laptop chargers, fans, and soldering irons. Results demonstrate that the system can accurately monitor current and power, maintain electrical stability, and cut off electricity when the load exceeds the safe threshold, thus reducing fire risk. This implementation is expected to enhance household electrical safety and serve as a reference for further development in IoT-based protection systems.

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.  

The availability of clean water is essential in daily life and plays an important role in agriculture, industry, and households. Water resource management faces many challenges such as fluctuations that can cause waste and shortages. The purpose of this research is to create a device that can automatically monitor water surface levels. The tool in question is a water level sensor based on Arduino Uno, which consists of a water level sensor and an Arduino Uno microcontroller. The sensor technology on Arduino can effectively monitor water usage directly and is known for its ease of use, flexibility, and sensor compatibility. An efficient water monitoring system provides accurate information about water availability.

Cabinet security is generally still done manually and is still done by humans. A common problem that occurs in cabinet security is the ease of dismantling or opening cabinets by irresponsible people until theft of valuable goods or data and very important items occurs. To overcome this, a cabinet security system is needed that can increase the security of goods and data in order to minimize crime. This system is designed using a password door so that it can double the security of the cabinet. This system works when someone wants to open the cabinet door using a password sent via callphone then processed by a microcontroller and displayed by the LCD after using being processed if the password is correct then door will open. The implementation of this system is expected to increase security in cabinets so that they can store important goods or data more safely and the level of security that previously used a manual key is doubled.

This research aims to design and developing a hydrofluorocarbon (HFC) leak monitoring system in the cold storage cooling system on the Anchor Handling Tug Supply (AHTS) ship by utilizing Internet of Things (IoT) technology. HFC leaks in cooling systems can cause environmental hazards and operational inefficiencies. The proposed system integrates sensors and IoT devices to continuously monitor HFC levels, detect leaks in real-time, and provide instant alerts to crew and management. The system architecture includes sensors for HFC detection, a microcontroller for data processing, and a communication module for data transmission to a central monitoring platform. Real-time data can be accessed through a user-friendly interface, enabling timely intervention and maintenance. Initial testing shows that the system is effective in identifying and reporting HFC leaks, potentially reducing environmental impacts and improving the safety and efficiency of cold storage operations on AHTS vessels. Further development and extensive field testing are planned to refine the system and validate its performance across a wide range of operational conditions.

Fire is an event that often occurs due to human negligence. Losses from fire include damage to goods, business delays and can even cause loss of life. For early handling of fires, a "Fire Fighting Control Design Using MQ-2 Sensor and Fuzzy Logic Based 5 Channel Flame Sensor" has been created. This tool uses the MQ-2 sensor to detect gases related to fires, such as hydrocarbon gas. A 5 channel flame sensor is used to detect flames. The predetermined fuzzy logic rules will be used to control the fire extinguisher and implemented using the Arduino Atmega 2560 microcontroller as the brain of the system. Next, the microcontroller will send a control signal to the 12V DC pump output as a water spray system to deal with fires. The test results of this system show that the tool can detect early fire hotspots and respond well to fire extinguishing according to the fuzzy rule decisions carried out by testing the tool with 30 fire spots at different distances.

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.

This research aims to design a HFO Settling Tank monitoring simulation tool using an ultrasonic sensor that displays the fuel level in real time and accurately. The research that will be carried out is by utilizing Arduino Uno microcontroller technology and utilizing ultrasonic waves from ultrasonic sensors to determine a height in a tube container. These sensors as inputs will be received by Arduino Uno and the data results from the sensor will be displayed on the LCD and notification from the buzzer. In this study the authors used a research method in the form of the Rnd (Research and Development) method, which begins by analyzing and conducting in-depth research on an object or tool. Then the author designs a tool design which will then validate the design design, and revise the product if the design is deemed insufficient. For the last stage, testing the product, if the tool does not work according to the expected function, a redesign will be carried out. The result of this research is that the ultrasonic sensor is able to detect the height of the simulated container. The results of the detection are processed through Arduino and displayed on the LCD so that all parties can know the water level in the tube container.

The shipping industry is closely related to economic growth in various countries. This transportation is very dependent on export and import activities. As the country's economy improves, especially in Asia, the maritime transportation business in Indonesia will also develop. The pattern of sending goods via sea transportation has changed, especially in terms of bulk transportation. which demands modern technology such as automation and intelligent control systems. This research aims to design and develop Android-based spreader control using Arduino Mega 2560 on a floating ship. This project is designed to increase efficiency and ease of operation in the loading and unloading process on ships, which previously still used manual control with a remote control or joystick which had limitations such as limited visibility. In this research, the spreader control system is connected to an Arduino Mega 2560 microcontroller via the HC-05 Bluetooth module, allowing the operator to control the spreader via an Android device. Test results show that data is obtained at a distance of 1 to 13 meters, the Android-based spreader control system shows a response time ranging from 1 to 9 seconds, which shows that the system is functioning properly. At a distance of 14 to 19 meters, the response time increases to 18 seconds, indicating quite good system performance. This shows that there is quite significant latency in data transmission. However, the system still managed to carry out spreader control well. At 20 meters, the system failed to respond to the spreader control. This shows that the effective range of this Bluetooth module is below 15 meters. This research makes a significant contribution to the development of automatic control technology in the shipping industry, especially in the use of intelligent control systems integrated with mobile devices.

Sea water pollution is an increasingly urgent global issue, caused by various factors such as industrial waste, household waste, and ship activities. One of the solutions needed to overcome this pollution is the development of a detection system that is able to monitor polluting substances quickly, accurately, and efficiently. This research aims to design and build a microcontroller-based seawater pollution detection system, which can identify various pollution parameters in real-time. This research uses the Research and Development (R&D) method to develop a system consisting of several main components, including a pH sensor, turbidity sensor, Arduino Uno, GPS module, Raspberry Pi 4, USB camera, LiPo battery, and step-down converter. Each component is tested individually before being integrated into the overall system. The results of testing in a real environment show that the system is able to detect seawater pollution parameters with high accuracy. However, there are some errors in data collection, especially in the camera sensor with a percentage error of 32%, turbidity sensor 20%, and pH sensor 24%. Further improvements and developments were made based on the evaluation results to enhance system performance. The resulting system is considered accurate, reliable and easy to use, making an important contribution to efforts to protect seawater quality and mitigate the negative impacts of pollution on the environment and human health.

Ships as an important means of transportation require the availability of good quality fresh water to meet the daily needs of the crew. Because the quality of fresh water that does not meet the standards can interfere with the activities of the crew. This research aims to build a water treatment system on board controlled by ATMEGA 2560 microcontroller. The system is equipped with turbidity sensor SEN0189, TDS sensor SEN0244, and PH sensor SEN0161 to monitor the freshwater quality. The process of working this tool by treating fresh water which then the parameters are detected by the PH sensor, TDS sensor, and turbidity sensor which then the detection results are displayed on the LCD monitor, and the buzzer and LED turn on when the condition of the fresh water parameters does not meet the standards. The methodology and design of this system will be carried out with experimental research methods where in this method at least one variable is manipulated to study the cause-and-effect relationship. The results of testing water treatment using ATMEGA 2560 show that the system can work optimally in treating fresh water. And the accuracy of the PH sensor, TDS sensor, and turbidity sensor is quite accurate with the difference in error with the comparison measuring instrument less than 5%.

From this research, monitoring can be done using an ESP32 microcontroller that can run the HY-SRF05 ultrasonic sensor to take measurements of fuel in the tank and then the measurement results can be seen on the connected android. This tool is made to monitor the volume of fuel oil on board via android without having to check to the field. From the results of this study, it is obtained that the HY-SRF05 ultrasonic sensor can measure the fuel level (cm) with a distance of 30 cm from the bottom depth of the tank and then the fuel level data (cm) is processed by ESP32 and then the height data from the sensor reading is displayed via android which has been connected online via an internet connection in the form of fuel volume (L). Tests were carried out 10 (ten) times with 3 (three) different capacities, namely with a capacity of 25%, 50%, and 75% of the maximum capacity of the fuel and with 2 (two) test methods, namely testing in stationary tank conditions (A) and testing in tank conditions getting shocks (B). So that from this test, the total value of the tool error (error) in the stationary tank condition (A) is 0.426% and in the condition of the tank getting a shock (B) of 0.420%. Based on the test results, the tool is said to be able to work well between measurements using the HY-SRF05 ultrasonic sensor and the actual depth with a system accuracy level of 99.57%.  

From this study, the automatic electric oil heater can be used to adjust the temperature value and the automatic electric heater will be able to turn off automatically according to the setpoint temperature value determined through a smartphone device or IoT program. Monitoring can also be done with the app, as well as being able to view temperature values directly through the LCD. This tool is in the form of an electric heater that will be used to heat ship fuel automatically and is more practical and efficient. It is also easier to maintain than a boiler on a ship. The design of this tool is based on accurate calculation of temperature values, with which the process of heating up fuel becomes faster. From the results of this study, a heat sensor that can read the temperature value and the buzzer will sound and the device will automatically turn off if the temperature has reached a specified setpoint. This research was carried out when the ship was about to make a departure to find out the temperature in the heating of the fuel on the ship. Testing Design of an automatic electric oil heater as a replacement for IoT-based thermal oil boiler on this bulk carrier ship, it can be known the disadvantages and advantages of this tool, testing can be done by putting oil into the electric heater, then in a short time the oil will heat up quickly, and the tool will be able to turn off automatically and the buzzer will immediately turn on when the heat has reached the specified temperature. In the temperature setting, it can be set in a smartphone or an app that can adjust the temperature and turn off the appliance from a considerable distance. However, the application must use the internet network and cannot be accessed locally, the use of IoT requires devices and smartphones to be connected to the internet.    

Truckloader (TL) is a tool that functions to move Fertilizer from the weigher (where the weighing and bagging process is) to the place of the pallet or to the place of the truck bed. Broadly speaking, this tool is in the Bagging 1B unit area. This truckloader has a digital counter, namely a counter which has the function of calculating fertilizer from the weigher to the truckloader. From this counter, this will later be used as a reference or comparison. In order to find out the amount of fertilizer on the pallet or entering the truck body, on the other hand it is also use it for the technician team as a reference for preventive maintenance and replacement of spare parts. So far, counter checking is done manually by visiting the field and seeing it in person. For this, the Internet of Things is needed so that work is more effective and easier for the monitoring process. By using Senesore infrared proximity as input to the Arduino Uno as an electronic circuit controller and running programs, 16x2 LCD as a display of instructions from Arduino, NodeMCU as a liaison between the microcontroller and Ubidots and to display digital data from Arduino. This counter tool will later be used to monitor the amount of fertilizer passing through truckloader via the Ubidots web. This system can display data on Arduino that can be viewed via the Ubidots web that has been made.

This research develops a smart doorlock system for engine rooms and platforms based on RFID technology and the Arduino platform. This system is designed to increase security and efficiency in managing access to important areas on a ship or industrial installation. The method used involves the integration of an RFID module as an authentication medium and an Arduino microcontroller as the system control center. Users can open the door simply by holding the registered RFID card close to the RFID reader, which then sends a signal to the Arduino to activate the door lock mechanism. This system is also equipped with an access data recording feature that allows real-time monitoring and review of incoming and outgoing activities. Test results show that the system functions well in various scenarios, demonstrating high reliability and responsiveness. Thus, this RFID and Arduino based smart doorlock system can be an effective solution in improving security and access control in critical environments.    

Indonesia is a country located between active earth plates, namely the Eurasian Plate, the Indo- Australian Plate, and the Pacific Plate. These plates are very active plates that move and pose a high risk of earthquake disasters. Therefore, the author wrote an Applied Scientific Work with the title Earthquake Disaster Detection System Using Arduino at the SMI Shipyard port. Earthquake Detection System is made in order to detect earthquake disasters and minimize casualties due to the earthquake disaster. The use of these tools in the world of transportation to detect earthquakes used in coastal areas and port ports located in earthquake-prone areas. The method used is system design to determine the occurrence of an earthquake or vibration detected by the ADXL 355 sensor to reach the output, namely the buzzer and LCD. From that the author makes a tool that can provide warnings to the community or workers in the area to avoid casualties. Earthquake Detection System Using Arduino gives output commands to the buzzer and 220 V lamp. If the vibration is from 2.0 SR, the buzzer and light output will not be active. This system has an accuracy rate of 77.6% and has the largest error rate of 22.4%.

Laboratory space is a place to store important assets, so security is an important factor. The application of technology is needed to help security in the laboratory space. In addition, with various technology options, it is necessary to consider human errors that often occur. The use of smart door access with a mechanism using a fingerprint sensor is determined due to security considerations and minimizing human error. Security is guaranteed because only registered fingerprints can access the room. The microcontroller uses Arduino Uno as a system driver that has been programmed in the Arduino IDE. The system works according to the function where the outer door uses a fingerprint sensor while the inner door uses a touch sensor to move the solenoid door lock. Three variations were carried out, namely clean fingers, dusty fingers and wet fingers to observe fingerprint performance. The fingerprint sensor works quickly when the finger is clean then the finger is wet and finally the finger is dusty. The length of time the solenoid door lock opens when the smart door access system is operated according to the settings in the Arduino IDE program.