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The high rate of motorcycle theft in Indonesia is a serious issue requiring an innovative, technology-based solution. This study aims to design and develop a motorcycle security system that integrates biometric authentication using a fingerprint sensor, real-time GPS tracking, and remote control based on the ESP32 microcontroller. The system allows users to start or stop the engine using registered fingerprints only, monitor vehicle location via GPS Tracker EV02, and control the motorcycle remotely through an internet-based application. Test results show that the system can accurately recognize fingerprints within 2 seconds, activate a buzzer for one minute upon unauthorized access attempts, and display the vehicle's location with an accuracy of 3–12 meters. Additionally, the use of the waterproof R503 fingerprint sensor ensures the system functions reliably in wet conditions. This integrated system has proven effective in enhancing the security of two-wheeled vehicles and offers a viable alternative to traditional security mechanisms.    

Efficient and accurate fuel management systems are becoming increasingly important as energy needs and operational complexity increase in various industrial sectors. This study aims to design and implement a fuel flow monitoring and control system using a variable control valve. This system allows real-time monitoring of the level and flow of fuel in the service tank on the ship, as well as automated control. In its implementation, ultrasonic sensors, control valves are combined with LM2596 connected to Arduino nano for data collection, analysis and visualization. The test results show that this system is able to provide accurate data on the flow and level of fuel in the service tank on the ship by displaying the measurement results on the LCD and providing warnings via a buzzer. The LCD display shows the reading of the fuel level and valve opening in the tank. At a fuel level of 0 - 25% the valve will open 100% and requires an average filling time of 25 seconds, At a fuel level of 25% - 50% the valve will open 75% and requires an average filling time of 27 seconds, At a fuel level of 50 - 75% the valve will open 50% and requires an average filling time of 30 seconds, At a fuel level of 75 - 99% the valve will open 25% and requires an average filling time of 32 seconds.

Fire is one of the incidents that disturbs homeowners because of the fire that will drain property and can claim lives when there is a lack of anticipation and minimal ignorance of the incident, such as when a fire occurs there is no early warning to the homeowner, this is also a cause of fire. The cause of the fire can be caused by a gas leak, electrical short circuit or caused by the community itself. Based on these problems, a solution is needed to create a safety system technology to be applied to the home kitchen, namely the design of an early detection system for fires based on the Internet Of Things (IoT) using ESP8266 which is useful for monitoring kitchen conditions and will automatically send a notification of the kitchen condition if the sensor reads an incident. The Hardware Design uses several tools consisting of ESP8266, Arduino R3. Jumper Cables, Fire Sensors, MQ-2 Gas Sensors, Mini Fans, Mini Water Pumps, Relays, Buzzers. and for the software design using Arduino IDE for system programming and Blynk as an application to display notifications. The designed system will be tested using black box testing which is used to determine whether the designed system will meet the specified parameters or not, and the results of the design state that the system is in accordance with the parameters used.

In the current era of globalization and technology, computers, RFID are examples of information technology tools that are indispensable for meeting human needs in almost every aspect of life, including the management of infrastructure and equipment lending.According to direct research at Widya Praja Ungaran Vocational School, there are only two workers who handle facilities and infrastructure. In carrying out their work assignments, they still experience difficulties. Excess workload and the process of borrowing tools that still lacks a sense of responsibility, so that the results of the work are not maximized.The existence of increasingly sophisticated technology, the management of infrastructure and equipment lending can be done with the help of technological tools that will be implemented in this school. This research aims to make it easier to administer, because this school has not yet added a new workforce.This research can be designed with the help of software (Bootstrap, MySql), programming (PHP, Arduino IDE) and equipment (NodeMCU ESP8266, RFID, LCD, I2C, buzzer, power supply, breadboard, jumper cables, resistors, LEDs) to provide data information. more accurate, effective, efficient and provide a good working atmosphere in this school. It is hoped that this research can reduce work overload and create a sense of responsibility in borrowing equipment, using local networks (wifi / handphone) and computers or laptops, with the research method used is research and development (R&D).

Milk consumption and the need for beef cattle for food purposes or sacrificial purposes continue to increase from year to year. This increase is in line with the increasing level of the economy and awareness of the need for nutritious food. However, the increase in demand still faces many production constraints due to the difficulties faced by farmers, the decline in cattle production from year to year in Indonesia. This causes Indonesia to have to import beef for 35.95% of the total national beef consumption. With many factors that affect the decline in the production rate of dairy cows or beef cattle every year, one of them is air pollution and poor air quality in cages. Along with the development of technology, a monitoring and detection system for air cleanliness in cattle pens was created, using the MQ-7 sensor as the concentration of carbon monoxide, the MQ-135 sensor as the concentration of ammonia gas, the MQ-2 sensor as the smoke detection, and When the air pollution value of each sensor input is according to the air pollution standard index (ISPU), the outputs namely indicator lights, buzzers and blowers will be on, then there will be temporary air neutralization in the cage. This tool is made easier by internet of things technology, so that it can send notifications via telegram and can see the level of air pollution levels through the web.

Mobility is one of the major challenges for visually impaired individuals in their daily activities. Visual impairments make it difficult for them to detect obstacles around them, increasing the risk of injury. This study aims to design and develop a smart stick based on ESP32, equipped with an ultrasonic sensor, to assist the mobility of visually impaired people. The system uses ultrasonic sensors to detect the distance of objects and provides early warnings to users through a buzzer, with varying rhythms depending on the proximity of objects. The research methodology includes system design and development of hardware and software, as well as direct testing on visually impaired users. The test results show that the system can detect obstacles with 95% accuracy at distances up to 200 cm, and provide appropriate responses based on the distance of detected objects. In addition, this prototype is energy-efficient, allowing for prolonged use without frequent recharging. This study provides a practical solution to enhance the independence and safety of visually impaired individuals in daily activities, with the potential for further development to improve detection accuracy and user comfort.

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.

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%.

To enhance awareness of environmental cleanliness and prevent the spread of diseases or viruses, it is sometimes necessary to employ unique methods to attract people's interest, thereby encouraging them to dispose of waste properly. Traditional trash bins generally require manual operation to open and close, which can be inconvenient for users and increase interaction between people and the trash bin. Moreover, manual trash bins often struggle to manage waste when they are full. This research, conducted by Institut Teknologi Nasional, offers a solution by designing a smart trash bin based on Arduino Uno, utilizing the HC-SR04 or ultrasonic sensors, a servo motor, and a buzzer or speaker. In this smart trash bin, the HC-SR04 ultrasonic sensor is used to detect distance, while the servo motor functions to open and close the lid. The buzzer or speaker provides notifications when the lid is about to open or when the trash bin is full.

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.

This research develops an indoor air quality monitoring notification system for production rooms based on the Internet of Things (IoT) using the ESP8266. The system is designed to detect and provide early warnings of air pollution in production rooms. The Sharp GP2Y1010AU0F sensor is used to measure the concentration of dust particles in the air. Data from the sensor is sent to the ESP8266 module connected to the internet. This information is then forwarded to the Blynk application, enabling real-time monitoring through mobile devices. If the dust concentration exceeds the predetermined threshold, the system will activate the buzzer as an alarm. Test results show that this system can provide accurate and responsive notifications, thus helping to improve safety and health in the production environment.

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.    

An Employee Attendance And Data Management System Based On Rfid Technology And Api Communication Has Been Successfully Developed And Tested With Satisfactory Results. The Problem Faced Is The Weakness Of Traditional Attendance Methods Which Are Susceptible To Human Error And Time Consuming, Hampering The Productivity And Effectiveness Of Company Operations. The Aim Of Developing This System Is To Increase Efficiency And Accuracy In Recording Employee Attendance. The Method Used In This Research Is The Waterfall Method, Which Includes The Stages Of Requirements Analysis, System Design, Implementation, Testing And Maintenance. At The Needs Analysis Stage, Identification And Documentation Of The Desired Attendance System Requirements Are Carried Out. The System Design Phase Involves Designing The Hardware And Software Architecture, Including The Use Of Rfid With Components Such As The Esp8266, Buzzer, And Rc522 As Well As Integration With The Server Via Api. Implementation Is Carried Out By Developing Hardware And Software According To The Design That Has Been Created. Testing Is Carried Out On Hardware Components To Ensure Function According To Specifications And Hardware-Software Integration To Ensure Smooth Communication Without Delays Or Loss Of Data. Business Logic Testing Ensures The System Detects Absences And Performs Automatic Salary Deductions According To Company Policy. The Data Export Module Was Developed To Export Attendance, Member, Division And Salary Data To An Excel File With The Appropriate Format. The Results Show That The Hardware Components Function Well, Able To Read And Send Rfid Data To The Server Accurately. Hardware And Software Integration Via Api Runs Smoothly, Enabling Real-Time Two-Way Communication. Business Logic Testing Shows That The System Can Detect Employee Absences And Perform Automatic Salary Deductions With High Accuracy. The Data Export Module Proved Effective, Allowing Users To Export Data To An Excel File In An Easily Accessible Format For Further Analysis Or Reporting. The Conclusion Of This Research Is That The Employee Attendance And Data Management System Based On Rfid And Api Technology Has Been Proven To Increase Efficiency And Accuracy In The Employee Attendance And Attendance Management Process. This System Offers A Modern And Effective Solution Compared To Traditional Attendance Methods, Providing Significant Flexibility And Ease Of Access. The Implementation Of This Technology Makes An Important Contribution In The Field Of Human Resource Management, Optimizing Productivity And Operational Effectiveness Of The Company.

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

Sebagian masyarakat biasa melakukan kegiatan bertamu untuk mempererat tali silaturahim dengan orang lain. Namun saat tamu memasuki area rumah dan tiba di pintu masuk, terkadang penghuni rumah sedang tidak ada dirumah atau tidak mengetahui jika ada tamu yang sedang berkunjung. Selain itu jika penghuni rumah sedang beraktifitas di dalam rumah dan berada jauh dari pintu masuk rumah membuat suara tamu tidak terdengar. Untuk mengatasi permasalahan diatas maka di zaman sekarang ini dapat dimanfaatkan teknologi dalam bidang internet of things (IoT) yaitu untuk pembuatan  prototype bel rumah otomatis berbasis IoT dan face recognition dengan menggunakan modul ESP32-CAM serta aplikasi Android sebagai media notifikasi. Prototype bel rumah otomatis ini dibangun menggunakan komponen ESP32-CAM, sensor PIR, buzzer serta API face recognition sebagai database pengenalan wajah. Untuk pembangunan prototype aplikasi Android sebagai media notifikasi menggunakan software Android Studio dan Firebase sebagai basis datanya. Adapun metode yang digunakan yaitu metode prototyping. Berdasarkan hasil pengujian yang telah dilakukan, diketahui bahwa sensor PIR mampu mendeteksi tamu dengan jarak kurang lebih 200 meter dan ESP32-CAM dapat melakukan deteksi wajah dengan rentang jarak 40-80 cm. Sedangkan persentase error fungsional sebesar 16.6%. Hal ini menunjukkan bahwa hasil pengujian pada bel rumah otomatis bisa berjalan dengan baik.

Indonesia is home to approximately 400 mountains that attract climbers, both local and international. The increasing number of climbers each year correlates with a rise in accidents. According to data from the National Search and Rescue Agency (BASARNAS), climbing accidents have increased over the past four years. In 2018 alone, there were 23 incidents resulting in 6 fatalities, 4 climbers reported missing, 7 climbers fell ill, and 592 climbers were rescued. Human error, such as choosing the wrong route and adverse weather conditions, remains the primary cause of climbers getting lost. To address these challenges, this research develops a GPS and Long Range (LoRa) based mountain climber monitoring system. The system utilizes GPS to track climbers' locations, heart rate sensors to monitor health conditions, and a buzzer for early warnings when climbers enter restricted areas. It also features a panic button for sending SOS signals to rescue posts. Agile Scrum methodology is employed in the system development, enabling iterative and collaborative software development. Research findings indicate that this system enhances efficiency and effectiveness in monitoring and rescuing climbers in distress, thereby improving mountain climbing safety and comfort.

The Unmanned ships have become a primary focus in maritime technology development to enhance efficiency and navigational safety in waters. In this research, a unmanned ship utilizing ESP32CAM as its core system is designed to detect navigation lights of other vessels and avoid potential collisions. The initial response of the ESP32CAM camera reads the colors of lights approaching the unmanned ship within a distance of less than 100cm. The ESP32CAM reads and identifies colors through image processing. When the ESP32CAM detects green and red lights, it commands the buzzer to sound. The color detection system works such that when the ESP32CAM detects a red light, it sends a signal to the servo motor to move left, and when it detects a green light, it sends a signal to the servo motor to move right. The servo motor functions as the ship's rudder. Testing of the navigation light system with ESP32CAM camera to prevent ship collisions is conducted with predetermined scenarios, including testing with red LEDs, green LEDs, and overall system testing. The results show that the navigation light system with ESP32CAM camera functions well. The ESP32CAM camera can optimally identify light colors at a distance of 100cm. Based on the conducted research, the ESP32CAM camera is capable of reading both the distance and colors of lights as specified at a distance of 100cm.

Ship stability problems are one of the causes of ship accidents such as ships that are difficult to control, unbalanced and sinking, either at sea during shipping or during loading and unloading. This is the background for the need to improve ship safety systems to reduce ship accidents. The purpose of this research is to accurately monitor the loading and unloading slope and determine the maximum distance that can be connected to LoRa. The working system of this tool is made with the intention of preventing ship accidents and creating a better sea transportation system. The work process of this tool is done by reading the tilt angle of the ship which will then be read through the LCD screen and the LED lights will light up and the buzzer will sound if it reaches a certain tilt angle. Making it easier for loading and unloading operators to manage their cargo so that the ship remains stable.The methodology and design of the applied scientific work tool system that will be carried out using experimental research methods. Experimental research methods are used to produce certain products, and test their effectiveness. The results of research on this applied scientific work are the accuracy of the gyroscope sensor GY-521 mpu-6050 which is 98.71% with an error of 1.29% and the distance of LoRa Ra-02 SX1278 that can be reached on a stable wireless system is as far as 370m in water and 205m on land. More than that the receiver cannot receive data anymore or is invalid.

As an important means of sea transportation for the distribution of goods and human mobility between islands, ships require a reliable prime mover to avoid wear or damage, especially when overspeeding occurs which can result in fire. Therefore, a prototype was created that uses an IR Obstacle sensor to monitor the RPM speed of the rotating engine. By using Arduino Uno as a processor, this prototype is able to display the RPM value on the LCD and provide a signal in the form of a green light if the speed is below 4000 Rpm, as well as a red light and buzzer sound if overspeed occurs above 4000 Rpm, followed by the engine turning off after 15 seconds. Testing shows that this prototype has a high level of accuracy, with a difference between 0.08% to 2.73% and an average difference of 1.003%.

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%.