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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.    

Technological advancements have significantly contributed to the robotics industry, yet mobility remains a challenge that can be addressed with mobile robots. In education, it is crucial to understand the basic principles of robotics and the use of related software and hardware. This research focuses on using a 4WD mobile robot as a learning tool. This robot offers flexibility and is easily controlled via a smartphone with built-in sensors. A smartphone application was developed using App Inventor, an open-source web-based development platform. The HC-05 Bluetooth module was used to connect the smartphone application with the 4WD robot. The goal of this research is to design innovative learning media to aid in understanding the concepts and control of the 4WD robot, as well as to increase students' interest and motivation in learning robotic systems. The results of the research demonstrated success in creating a 4WD robot prototype controllable via an Android smartphone. The distance between the Arduino and smartphone did not significantly affect the robot's movement, although communication was disrupted if the distance exceeded 10 meters. Directional control was achieved through the rotation of the right and left wheels, and sufficient power supply was needed to drive all wheels. Programming with C/C++ and Bluetooth communication functioned as planned. This innovative learning media is expected to help students understand and operate the 4WD mobile robot more effectively

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%.      

Fresh water is a basic need of the ship's crew in supporting the creation of smooth ship operating activities, therefore it is also necessary to have an auxiliary aircraft that can produce its own fresh water on board to reduce ship operating costs, which is called the Fresh Water Generator (FWG).  FWG is an auxiliary aircraft that can convert seawater into fresh water by evaporation and condensation processes. Therefore, it is necessary to have a tool to monitor the performance of the fresh water generator. The purpose of this research is none other than to monitor temperature conditions, water TDS, and conditions on the input and output streams of the fresh water generator evaporator filter to be more optimal and efficient and to determine the reliability of the fresh water generator performance equipment system using a long distance in order to create better and higher quality fresh water production on board. This research uses a prototyping method system. After designing and testing the tool monitoring system for the performance of fresh water generators using Arduino mega 2560 based on LoRa Ra-02, this system is one of the new technologies that can monitor the performance of fresh water generators to be more efficient and reliable. Then the readings of all sensors can work properly with an average percentage error on the Max 6675 temperature sensor of 0.58%, pressure transmiter sensor 1 of 2.04%, pressure transmiter sensor 2 of 2.04%, and TDS  sensor of 1,70% and the distance to communication between the receiver and transceiver reaches a range of 200 meters without obstacles and 97 meters through obstacles around.

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%.

The Covid-19 virus emerged in late 2019 in Wuhan, China, rapidly spreading to over 190 countries worldwide. Governments implemented various measures, including body temperature checks as an initial step in detecting Covid-19 symptoms. However, manual body temperature measurement using a thermogun has limitations due to direct contact. Therefore, this research develops an automatic, contactless body temperature monitoring system based on Arduino Uno to improve efficiency and reduce physical contact. The system uses an HC-SR04 ultrasonic sensor as a distance limiter for temperature measurement, an MLX-90614 infrared temperature sensor for detecting body temperature, and an Arduino Uno to process data displayed on an LCD in degrees Celsius, with a buzzer as a notification indicator. The test results show that this system achieves a body temperature measurement accuracy of 99.53%, producing results close to the reference device when the object and sensor are within a 1–5 cm range and aligned in a parallel position.

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 MSME group "Manuggal Karya" located in Ngambarsari Village, Karang Tengah District, Wonogiri, Central Java is a business group that operates in the field of refining clove leaf essential oil. can be monitored properly so that overflowing essential oils often spill from the reservoir and improper handling can actually cause the essential oils to become dirty. The use of an automation system that can keep essential oils sterile and can stop the flow of oil to the reservoir if the reservoir is full. The result that the author hopes is that by making this tool, the MSME Group "Manunggal Karya" can increase production efficiency to produce quality clove leaf essential oil.    

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.

Deteksi kesalahan pada data yang dikirimkan melalui saluran komunikasi sangat penting untuk mendapatkan data yang akurat dan sistem komunikasi yang handal. Salah satu kode yang populer dan banyak digunakan sebagai kode pendeteksi kesalahan adalah Cyclic Redundancy Check (CRC). Penelitian ini bertujuan untuk merancang dan mengimplementasikan encoder dan decoder CRC-16 dengan polinomial 0x8005 pada platform Arduino IoT. Penghitungan nilai CRC-16 dilakukan menggunakan algoritma yang memanfaatkan tabel pencarian. Algoritma berbasis tabel pencarian dipilih karena kecepatannya dalam menghitung nilai CRC dari data masukan. Hasil implementasi encoder dan decoder kemudian diuji menggunakan dua board Arduino yang mengirimkan data secara serial. Hasil penelitian menunjukkan bahwa decoder pada sisi penerima dapat mendeteksi kesalahan pada data yang dikirimkan, dan encoder pada sisi pengirim dapat menghitung nilai CRC dari data masukan dengan benar sesuai spesifikasi kode CRC-16. Waktu yang dibutuhkan encoder untuk menghitung nilai CRC-16 dari data input dengan panjang yang bervariasi menunjukkan bahwa data input dengan panjang 2 karakter (16 bit) dan 128 karakter (1024 bit) masing-masing membutuhkan waktu 0,016 milidetik dan 0,72 milidetik.

Burglary involves forced or unauthorized entry, which leads to damage or loss of property having monetary or emotional value and, more severely, puts lives at risk. The dire need for the safety of lives and properties has attracted so much research on burglary alert system using Internet of Things (IoT) technology. Most of the research focused on alerting the users of burglary attempts using any or a combination of two notification methods: SMS, call, and email. This study emphasizes three-mode notification that combines SMS, call, and email using the application of IoT technology in a burglary alert system, which uses a Passive Infrared (PIR) sensor for burglar detection to ensure that Homeowners or authorized personnel get alerts in events of imminent attempt to break-ins. The study also details the sensor integration with its supporting components, such as the central hub or microcontroller, buzzer, LED, and network interface in the development of the system. The software was developed to facilitate seamless integration with the hardware, ensuring timely and accurate event detection and subsequent alert generation using Arduino IDE programming language, a framework based on the C++ language. The system effected the 3-mode notification to ensure that users get notification in case of an imminent break-in since the failure of the three modes simultaneously is extremely rare. The system’s performance based on its responsiveness on the 3-mode notifications was evaluated, and an average of 83.56% responsiveness was obtained, indicating an acceptable response time.

Many rivers in Indonesia had very poor water clarity due to a mixture of dirt and mud in the  water.  Polluted  rivers were  often  found  in  areas  near  settlements,  where  household  waste that flowing into rivers made the water look dirty and turbid. Pollutants dissolved in water will bind to small particles and settle at the bottom of the river, due to sedimentation. This research designed a device to detect sediment volume in the rivers. This device used an ultrasonic sensor type DYP-L04 and a rotary encoder for calculating volume, with Arduino Mega 2560 R3 as a processor. There is a PG45 motor that was used to set the motor speed to be constant. This ultrasonic sensor works based on the Arduino programming algorithm that has been designed,  so that the device can measure sediment volume optimally. The results of this research showed that the device could determine the volume of sediment with the average error score less than 10 %.

Communication between devices is an important aspect when developing an Arduino-based system. The three communication protocols commonly used with Arduino are I2C (Inter-Integrated Circuit), SPI (Serial Peripheral Interface), and UART (Universal Asynchronous Receiver/Transmitter). Each of these protocols has unique characteristics that make them suitable for different applications. These three communication protocols provide flexible options when developing systems that communicate with sensors, actuators, or other modules on the Arduino platform. Selecting the appropriate protocol depends on specific needs, such as speed, number of connected devices, and system complexity.

The lack of awareness from Resto visitors in the process of disposing of garbage in its place makes the environment around the Resto polluted at least the awareness of Resto visitors to dispose of garbage in its place is still low. The purpose of this research is to create an automation system for the trash can. The problem that arises for Resto S2 is the lack of effectiveness, especially in the tissue waste section, one of the solutions that can be done for these problems, namely by designing a device in the form of a smart trash can that can open and close automatically, so that Resto visitors do not need to make direct contact with the trash can. Researchers aim to realize the design of the tool, as for the method carried out in this study is to implement the design of a smart trash can in the form of a box that has an input in the form of an ultrasonic sensor, and an output in the form of a servo motor. The results of input and output testing show that the ultrasonic sensor can detect movement in front of the trash can and the servo motor can move the trash can cover, so it can be concluded that the smart trash can work system as a whole can function properly in accordance with the design that has been made.

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.

Naturally, a mother hen incubates her eggs until they hatch completely. However, the success rate of natural hatching is low, and hatching can be completed with a maximum of 10 eggs. Chicken farming, more specifically the chicken egg hatching system, breeders usually use an incubator for the process of hatching chicken eggs. In the incubator, there is a lamp that has been provided which is used for the process of warming the eggs so that the eggs can hatch properly and of good quality with incandescent lamps. In general, the process of hatching eggs often encounters problems or obstacles. The obstacle that is often experienced when hatching chicken eggs is that the incubator only uses incandescent lights. Therefore, to avoid this problem, a microcontroller was designed to overcome this problem. This tool is a combination of a microcontroller with an Arduino-based temperature and humidity sensor. With this tool, after the eggs hatch, when the lights are off, the sensor can read the output in the form of the incubator temperature, which is detected by the Arduino serial display. Design methods and experimental methods were used in this research. Tool testing is divided into three types, namely temperature testing, humidity testing and egg load testing. The result of this research is an automatic egg incubator machine that uses Arduino. Several electronic components used in the incubator are Arduino,

In the era of the new normal, maintaining health and hygiene has become critically important, especially in preventing the spread of viruses. One effective way to achieve this is through regular handwashing. Schools are particularly susceptible to the transmission of viruses and bacteria, which is why it's crucial to implement an effective hand sanitizer system. However, the use of conventional hand sanitizer bottles that require manual pressing or opening still carries the risk of virus transmission. Therefore, there is a need for the development of an automatic hand sanitizer system to reduce the risk of virus transmission. This research aims to design an Arduino-based automatic hand sanitizer system at SD Kanisius Genuk. The automatic hand sanitizer system utilizes an ultrasonic sensor to detect the distance between an object, in this case, a hand, and the hand sanitizer. When the hand approaches within a certain distance, the hand sanitizer fluid is dispensed automatically through a mini 5V pump. Additionally, the device features a liquid level sensor that provides information about the hand sanitizer fluid level via an LCD screen. The theoretical significance of this research lies in enriching knowledge about programming using the C++ programming language in designing an automatic hand sanitizer system. Furthermore, the research is expected to enhance creativity, innovation, and knowledge development in response to technological advancements. The practical benefits of this research include facilitating students, teachers, and guests at SD Kanisius Genuk in using the automatic hand sanitizer, thus reducing the risk of virus transmission. Additionally, this research can serve as a reference for universities and contribute to the field of human resource management knowledge.

Broiler chickens are livestock whose growth is influenced by environmental temperature. The temperature of the chicken coop that is not suitable can affect the decrease in productivity and cause death in broiler chickens, so that the temperature setting of the cage must be considered. The design of this temperature and humidity monitoring system uses a nodemcu ESP8266 microcontroller and an arduino uno. If the measured temperature exceeds the set temperature limit, the system will send an SMS to the smartphone so that the cage officer can take appropriate action.

Honey is a natural liquid that contains a lot of sugar produced by bees (genus Apis) from flower nectar and has a sweet taste. Honey contains a multitude of benefits that are good for the body, including being a source of nutrients, improving body metabolism, anti-bacterial, and others. The purpose of designing the Honey Harvest Monitoring System with ARDUINO-based IOT is to help breeders maximize honey harvesting results. This study aims to design an intelligent system for controlling the temperature in bee hives, humidity in bee hives, and monitoring honey yields, measuring the temperature and humidity of the storage room using DHT 11 sensors, and monitoring honey harvest time using Load Cell sensors. The temperature and humidity controller in the cage uses a blower/fan. Sensor data will be processed using the Wemos D1 R1 microcontroller and then sent to an Android application via the internet network using a real-time Firebase database so that it can be accessed anywhere and anytime. The way this system works is that if the room temperature is >38 degrees Celsius, the blower/fan will turn on, and will turn off if the temperature is 40%, the artificial window will open and will close if the humidity is