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The storage space for CO2 gas cylinders is inside the ship's accommodation, so there is a risk of danger if a leak occurs because the ship's accommodation has poor air circulation. This research is devoted to removing dangerous gases from the room. This research designs and modifies a tool that can detect CO2 levels and can provide a danger signal to the surroundings. This modification uses a Raspberry Pi Pico W microcontroller. This research method uses system design, a series of tools with wiring design and uses 2 test plans, namely: testing static and dynamic testing.  Testing the precision of the sensor by reading the CO2 leak detector using a CO2 measuring instrument obtained an average error value of 3.5%. The error value is still categorized as a safe difference value and the prototype works according to the expected function. Testing the function of the tool results in values ​​for the MQ-135 buzzer and exhaust fan sensors which will turn on if the CO2 level is above 600 ppm in accordance with the safe threshold for CO2 levels in the air which has been set in the program. Telegram request bot testing can work well as expected. Testing the Telegram Receive bot can work well as expected. However, for testing Telegram bots, requests and receives are influenced by the internet network.

The primary focus of this research was to create a Smart Count of Vehicle Loading Prototype for ships, with an emphasis on monitoring and tallying vehicles boarding and disembarking from ships based on their weight. Microcontrollers, such as the ESP32, were utilized for the counting process and to determine if the ship's cargo weight exceeded its maximum capacity. The main objective was to prevent overloading on ships, which could lead to accidents during voyages or while vehicles were being loaded onto the ship. To achieve this goal, weight and distance sensors were installed on the ship and controlled by the microcontroller, allowing for accurate monitoring of the quantity and categories of vehicles being loaded. After designing and testing this prototype device, it has become a new technological innovation that makes monitoring the weight and quantity of cargo on ships easier and more efficient. This is supported by the fact that each sensor's readings can work well with an average error rate below 2%. Additionally, the maximum communication range between the Blynk IoT application and the ship system can reach up to 20 meters.

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%.  

This research aims to develop an efficient battery monitoring system using the ESP8266 module and INA219 sensor. Monitoring the battery condition effectively is crucial in various applications, especially in portable systems or isolated systems where real-time supervision is required. The method used in this research is the utilization of the ESP8266 module as the main microcontroller connected to the INA219 sensor to monitor the battery voltage, current, and power in real-time. The data obtained by the INA219 sensor is transmitted through the WiFi network managed by ESP8266 to a server or monitoring platform accessible to users via Blynk a web-based application or mobile application. The test results show that the system is capable of providing accurate information about the battery condition, including the charge level, usage current, and potential issues such as overcharge or undercharge. The implementation of this system is expected to be applicable in various applications, including renewable energy systems, portable devices, and electric vehicles, to improve battery performance and safety. The INA219 module as a voltage and current sensor found a voltage reading error percentage with a range of 0%-0.66% and an average of 0.18%. For readings at current with an error range of 0.91%-7.57%. For internal resistance readings which are calculated based on dividing the clamp voltage value by the circuit current, an error range of 0.04% -30.36% is found.

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.

Setiap harinya hampir semua orang selalu melakukan aktivitas sehari – hari berada di luar ruangan maupun diluar rumah seperti: bekerja, bermain, berlibur, maupun berolahraga. Ruangan yang ditinggalkan dapat menyebabkan terjadinya kehilangan barang akibat pencurian maupun terjadinya kerusakan pada barang yang ada di dalam ruangan. Sistem pendeteksi gerakan dan penangkap gambar ini dimaksudkan untuk membantu pemilik ruangan melihat apakah ada pergerakan manusia yang terjadi di dalam ruangan saat pemilik tersebut berada di dalam maupun di dalam ruangan. Perancangan alat pendeteksi gerakan ini  menggunakan sensor Passive Infrared (PIR), microcontroller ESP32-CAM, Relay, Buzzer dan MB102 Breadboard Power Supply. Sistem ini berbasis Internet of Things (IoT) dan menggunakan backend as a services (BAAS) sebagai media penyimpanan menggunakan Supabase, data yang disimpan pun akan ditampilkan di aplikasi smartphone, aplikasi tersebut dibuat menggunakan flutter, pada aplikasi tersebut pemilik rumah dapat melihat gambar, dan kapan terjadinya pengambilan gambar tersebut. Sistem pendeteksi gerakan manusia ini bekerja sangat baik, selain membunyikan alarm saat sistem mendeteksi adanya pergerakan manusia, sistem ini mengambil gambar yang dikirim ke aplikasi android dan memberi notifikasi. Dengan adanya sistem ini diharapkan dapat mengurangi kehilangan barang dan kerusakan pada ruangan

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

As time goes by, the rapid development of technology has brought various conveniences to people's daily activities.  An example of the continuation of technology is microcontrollers and electronic devices that can be connected to the network. One of them is the industrial sector in the PLTS plant at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol which has PV Box generating equipment that requires temperature and humidity control to determine the cause of corrosion that occurs in the PV Box.This study is intended as a solution in monitoring PV Box generating equipment. This technology development uses the Internet of Things (IoT) which combines the physical and virtual worlds. In this research, the method used is the experimental measurement method, making the system created more real and detailed. In research using DHT11 equipment which has the advantage of being able to estimate temperature and humidity. NodeMCU ESP32 as a microcontroller connected to the blynk platform via the internet functions to manage hardware, show evidence of sensors, secure data, depict data, and others. The results of the research on designing a temperature and humidity monitoring system at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol were successfully created and produced positive effects by being monitored using the blynk platform. This research was carried out in real time using a cell phone wherever you are. This research shows that temperature measurements from the DHT11 sensor obtained an average temperature of 31.78%, while the average humidity value was 85.96%, which indicates that the room being measured had high humidity. By considering these two findings, it can be concluded that the cause of corrosion in the room is high humidity and redox reactions from various substances in the environment.

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.    

Sterilization is the eradication of materials, substances, or tools from various live microorganisms or their resting stages. Bacterial and fungal vegetative cells can be killed at a temperature of 60 °C within 5 to 10 minutes. A data logger is a tool used to monitor the temperature inside an autoclave. Previous research on "Autoclave Data Logger" aimed to assist in recording temperature activities within the autoclave. When the device is turned on, it automatically records the temperature inside the autoclave and stores the temperature data read on an SD card. After the sterilization process is completed, the SD card is retrieved for reading on a personal computer in Excel format or converted into a graph. Therefore, the author developed an IoT-based autoclave calibrator tool with data storage. This IoT-based autoclave calibrator tool with data storage utilizes the ESP32 microcontroller for programming and as a source in the IoT system. The ESP32 is used to control the input from the waterproof DS18b20 sensor, which functions to read or detect the temperature in the autoclave. The data read by the sensor will be displayed on the IoT platform, which is the Blynk IoT application, and after the results are displayed on the IoT platform, they will be stored on an SD card.      

Radar (Radio Detection and Ranging) is a technology that has been widely used in various fields. fields. Such as ship navigation, aviation industry, air traffic surveillance, weather monitoring, and security applications. air traffic control, weather monitoring, and security applications. Radar utilizes electromagnetic signals to detect, track, and determine the distance and position of surrounding objects. of objects in the vicinity.

Autoclaves are the most widely used tool for sterilization worldwide and are considered the most effective and cost-effective method for sterilizing medical equipment. The research aims to design and build an autoclave that uses an Arduino microcontroller as the brain of the system and is equipped with a temperature sensor, heater driver, heater and power supply. This autoclave will help ensure that the medical equipment used is sterile by using a working system using a 121℃ pressurized steam heat method for 15 minutes. Based on the results obtained, an Arduino nano-based autoclave device has been successfully created. By measuring each measurement point, the error value is very small, namely TP1 at a voltage of 5.1 with an error of 2%, TP2 at a voltage of 4.8 with an error of 0.4%, TP2 at a voltage of 4.8 with an error of 0, 4%, TP4 at a voltage of 225 with an error of 2%, TP5 at a temperature of 121 with an error of 0%.      

In the hold of the fishing boat, it is currently unable to control the pH of the water in accordance with the living environment of the fish. The pH of the water also needs to be considered so that the fish can survive. In addition, fish feeding on fishing vessels is also very necessary. The purpose of this research is to design a system that can control pH, fish feeding, fish water replacement. in the fish hold using an IoT-based microcontroller. The method used in this research uses quantitative methods through system design, design software design models, product trials.This method is used This research method includes steps taken to design and implement the system, as well as tests carried out to ensure the performance and success of the designed system. The results of the data designed by the system are analyzing the data in testing this tool according to its function. The accuracy of using the tool when feeding is 90.5% and the percentage error is 9.5%. The accuracy of using the tool when draining mode is 100% with a percentage error of 0%. And for the results of the percentage error of the pH sensor when the mode is on by 100% with a percentage error of 0%. This shows that the Smart Pond system designed has a high level of accuracy in terms of fish feeding and pond draining.

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.

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%.

In the digital age, public road lighting (PJU) monitoring efficiency is becoming essential for effective infrastructure management. The research developed a PJU monitoring system based on LoRa technology and an Arduino microcontroller to monitor the operating conditions of PJU solar panels in real time. The system uses the LoRa 433 MHz module for remote data communication and is equipped with a voltage sensor to monitor batteries and solar panels as well as an ACS712 current sensor to measure current consumption on LED lights. The data is displayed on an I2C 16x2 LCD screen, making monitoring easy. LoRa technology offers the advantages of broad communication range and low power consumption. The development method used is prototyping, including needs analysis, system design, implementation, testing, and maintenance. Test results show that the system works well, with sensors providing adequate accuracy and LoRa communication enabling remote data access. The system improves the efficiency and accuracy of PJU monitoring, as well as reduces time and effort in the monitoring process. Overall, the system is an effective solution for PJU management in the digital age.

The obesity rate among adolescents in Indonesia is increasingly worrying. Obesity in adolescents is affected by a variety of factors, including lifestyle changes that tend to lead to an unhealthy diet and lack of physical activity. To overcome this problem, early prevention efforts are very important, one of which is by measuring Body Mass Index (BMI) as an early indicator of obesity. This research uses a Research and Development (RnD) approach, which aims to develop or improve existing tools to obtain new data and insights into the use of these tools in various contexts. This tool is a development of the previous tool with the HC SR04 sensor to measure height, the Load Cell sensor to measure weight, and the Atmega328p microcontroller to calculate BMI. The main innovation of the tool is the use of a 433 MHz Radio Frequency module that allows wireless communication between height and weight data, increasing the mobility of the tool as it does not require cables and poles as a support. With the result of an error value in the IMT measurement of 1,28%. With an error value of 1.28% in BMI measurements and 93.40% in BMI measurement validity. So from the results of the above percentage, it can be stated that this tool is suitable for use.

Fire is a threat to human safety, property and the environment. With the increasingly rapid development and progress of development, the risk of fires is increasing. Shophouses or shophouses are places that are prone to fires. The increasingly dense population and the construction of office buildings have created a vulnerability in the event of a fire. Preventive efforts must be carried out by each individual and work unit, so that casualties from fire incidents can be minimized. Fires can cause moral, material and even human life losses. Fires that hit public facilities, of course, cause losses to many people. Shophouse fires often occur suddenly due to short circuits, gas explosions or due to sparks from cigarettes/matches. The research carried out this time focuses on creating a fire detection system using ESP32 and Arduino. The system uses three sensors, namely a temperature sensor, a gas sensor and a fire sensor. Temperature sensors are useful for monitoring room temperature conditions, fire sensors are useful for detecting the presence of fire in a fire disaster and gas sensors are useful for detecting the presence of smoke that appears as a result of a fire disaster. This system uses an ESP32 microcontroller and uses the Arduino IDE application. The results of the fire detection system are expected to reduce the occurrence of fire accidents and also losses caused by fire accidents.

Modern agriculture increasingly relies on technology to increase efficiency and productivity, so that humans nowadays always need tools that can make their work easier, especially for monitoring soil moisture. in presenting a soil moisture control monitoring system tool, which can be used by the community for efficient gardening. Where the system uses microcontroller technology which has been developed internationally. The creation of this system aims to make gardening easier. From the case studies raised in this research, the lack of efficient soil moisture affects plant growth. A system was created to produce a tool for controlling and monitoring soil moisture conditions in waterfall method plants. The stages of this research include analysis, system design, implementation, testing and maintenance. The implication of this research is the optimization of the gardening process by farmers in maintaining soil moisture by automatically turning on and turning off buttons. This system is based on IoT which is a soil moisture sensor using a soil moisture sensor & I2C LCD as a monitoring tool. It is said that the soil is damp if the water content is 60% -80%, if it is less than this then the water pump will turn on automatically.