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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%.

Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This research aims to develop a fertility monitoring system for durian trees using Internet of Things (IoT) technology which can help farmers manage the environmental conditions of plants in real-time. The designed system uses various sensors, such as soil moisture sensors, air temperature and humidity sensors, light intensity sensors, and soil nutrient sensors, to collect relevant environmental data. The data obtained from these sensors is then processed by a microcontroller and sent via the IoT network to a cloud-based storage platform. The trial results show that this system can monitor environmental conditions with high accuracy and provide appropriate maintenance recommendations, thereby increasing efficiency in managing durian plants.

The development of Internet of Things (IoT) technology provides opportunities to automate various devices, including height measuring devices. This research aims to design and build an automatic height measuring device that is integrated with IoT technology. This tool is designed to measure body height automatically and send the measurement data to a cloud-based platform, making it easier for users to monitor data in real-time via smart devices. This system uses an ultrasonic sensor to detect body height, a microcontroller as a data processor, and a Wi-Fi module to send data to the server. Test results show that this tool is capable of measuring body height with a good level of accuracy and provides convenience in storing and monitoring measurement data remotely. Thus, this IoT-based height measuring device can be an innovative solution for the need for height measurement that is more efficient and integrated with digital systems.

This study aims to design and develop an automatic solar tracker system based on the Internet of Things (IoT) to enhance the efficiency of energy collection in solar panels. The system utilizes key components such as the ESP32 microcontroller, LDR sensors, servo motors, and the Blynk platform to monitor performance in real-time. The solar tracker is designed to follow the movement of the sun, ensuring that the solar panels are always positioned optimally to receive sunlight throughout the day. Testing indicates that this system improves solar energy absorption efficiency compared to static solar panel systems. Furthermore, the integration of IoT allows for more effective and efficient remote control and monitoring. Thus, this technology not only offers improvements in energy efficiency but also provides a practical solution for better and more sustainable solar energy management.

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.

Freon is one of the refrigerants used in refrigeration systems. The refrigeration system has a very important role, namely to preserve food ingredients so that food can last longer. The use of freon is not only used in ships but is widely found in home appliances in refrigeration systems used in freezers, air conditioners, refrigerators, and dispensers. If more freon is used, the negative impact that arises is greater, namely the depletion of the ozone layer and global warming which can have a bad influence on health, the life of living things and the environment. The purpose of this researcher is to create a tool to reduce the negative impact of freon use, namely by using peltier as a cooling medium with environmentally friendly thermoelectric modules. This study uses trial and error methods. Where the trial process is carried out by turning on one of the working push buttons and observing the temperature value. Then it is processed by the control system, namely Arduino Mega which will later provide a PWM output signal to the IRF540 mosfet when the output temperature value is in line with the reference value and vice versa. The test of this tool was carried out by comparing measurements between the author's prototype tool and the standard measuring tool, namely the digital thermometer. Based on the test results, this device can produce a minimum temperature of 140C at 30-minute intervals without any media. The trial using 330ml bottled water can reach a temperature of 170C within 30 minutes in the cooler box. This tool is also equipped with an automatic monitoring system using a PWM signal in the form of a change in fan speed, which is 255 RPS maximum speed and when getting a PWM signal it changes to 50 RPS. The percentage of errors resulting from the comparison of standard measuring instruments and sensor values had the highest and lowest percentages of 2.37% and 0.84% in cold dispersion conditions without charge. Then the highest and lowest error percentages were 1.69% and 0.72% in the state of containing a load of 1 330ml mineral bottle. This ptototype uses data recording using Micro-SD as a data logger.

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%.  

The goal of improving the compatibility of the Windows operating system with various devices is to ensure that Windows runs well on desktops, laptops, tablets, and mobile devices. Technical developments such as system modularization, performance optimization, and better driver integration are part of this effort. To expand the range of devices, Microsoft supports ARM architecture in addition to x86 architecture. Additionally, support for IoT technology, biometric sensors and touch screens has been improved. Maintaining a consistent user experience and expanding the ecosystem of Windows-compatible devices is the goal of this effort.

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.    

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

The Electrical Safety Analyzer is a calibration tool commonly used to measure leakage currents. In this study, the performance of the PZEM-004t sensor was compared with the sensor used in the Fluke Biomedical brand Electrical Safety Analyzer 612 to measure the validity of the instrument used to carry out various electrical safety tests, including tests. ground cable resistance, current consumption test, and to check whether the device under test meets electrical requirements.. This tool also makes things easier for electromedical technicians. This tool, designed for electrical testing of electromedical equipment, requires sensors and a microcontroller. The voltage and current sensors use a voltage follower circuit, an inverting amplifier and the microcontroller uses an Arduino Mega. The test method is to compare the measurement results of the TA module tool with the measurement results of the Fluke Biomedical brand Electrical Safety Analyzer tool in 5 trials with an interval of 5 minutes for each test. From the test results for the phase to neutral voltage, the largest error was obtained at 0.6% for the infant warmer load. From the results of the phase to ground voltage test, the largest error was obtained at 0.3% for the infant warmer load. In testing the current on the infant warmer load, an error of 0.0-0.1% was obtained.    

The objectives of this study were:  1) to determine the acceptance of color, aroma, texture, and taste of turmeric-tamarind jelly candy with the addition of psyllium husk; and 2) to identify the composition of the selected turmeric-tamarind jelly candy product. The research employed experimental methods, hedonic tests, and ranking tests. Three variants of psyllium husk were used: Product 1 with 1 g, Product 2 with 3 g, and Product 3 with 5 g of psyllium husk added.  Data obtained from sensory evaluations were descriptively analyzed using Microsoft Excel 2019. Results indicated that the turmeric-tamarind jelly candy with the addition of 1 g of psyllium husk was the most preferred and well-received product.   The composition of the selected jelly candy included 150 ml of turmeric-tamarind extract, 60 g of sugar, 60 g of glucose, 21 g of gelatin, and 1 g of psyllium husk.    

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.

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.      

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%.      

An experiment examined micrometer shifts in optical fibers to understand sensor characteristics: range, linearity, sensitivity, and resolution. Findings showed voltage output decreases with fiber length. The fiber coupler sensor's range was 2 mm, and the fiber bundle sensor's was 25 mm.While not perfectly linear, the study identified operational ranges using y = ax + n. The fiber bundle had two linear regions: Front Linear (0.2-1.6 mm) with R² = 0.9918 and Rear Linear (2.3-8.3 mm) with R² = 0.977. The fiber coupler's linear trend spanned 0.3-2.1 mm with an R² of 0.944. Sensitivity was 4668.5 V/mm (front) and 780.91 V/mm (rear) for the fiber bundle, and 215.79 V/mm for the fiber coupler. Resolution was 0.0107 µm (front), 0.0640 µm (rear) for the fiber bundle, and 0.2317 µm for the fiber coupler. These findings shed light on optical fiber shift sensor parameters.

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.