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Traditional doors usually consist of a housing or padlock and a flip key to open it. Usually found on office or mall doors, doors can be made more practical. The door will open automatically if there is physical energy (stimulus) that moves it. For example, when someone wants to enter the room, the door will automatically open. Doors like this are designed using automatic control using embedded system equipment. This automatic door system can be designed using automatic control combined with PIR sensors and servo motors. In terms of input equipment, a PIR (Passive Infrared Receiver) sensor is used which will detect humans approaching the door. This PIR sensor will send a signal to the Arduino process unit which contains a microcontroller chip. This microcontroller will send the processed data to the servo motor, so that it can open or close the door automatically.

In this study, the implementation and simulation of a servo SG90 drive system based on Arduino Uno with dynamic angle control were carried out. The SG90 servo motor is widely used in various applications such as robotics and automation due to its ease of control and small size. The objective of this research is to develop a control system capable of adjusting the servo angle dynamically using Arduino Uno. The simulation method involves hardware and software simulations combined with servo control code based on PWM (Pulse Width Modulation) signals. The results show that the system is capable of accurately controlling the servo angle through a potentiometer as a dynamic input, along with simulation visualization in a software environment.

Closed house chicken coop is an innovation from the development of technology in the livestock sector. In closed house chicken coops, many arrangements and adjustments to environmental conditions in the chicken coop are carried out which are expected to increase broiler chicken production. In this study, researchers created a centralized control system on 2 closed house chicken coops to make it easier for broiler chicken entrepreneurs to monitor and control the closed house chicken coops owned by the entrepreneur through one place, without having to go directly to the closed house chicken coop to monitor and control the chicken coop which of course will be quite draining time and energy. This study uses Haiwell Cloud Scada as an interface device connected to the Arduino Nano microcontroller, DHT-22 sensor as a humidity and temperature detector sensor, MQ-135 sensor as an Ammonia gas detector, water level sensor as a reader of the remaining chicken drinking water level, IR sensor as a reader of the remaining chicken food level, DC fan which has 2 functions, namely inlet and exhaust in the chicken coop. Servo motor as a silo damper controller to fill chicken food from the silo to the chicken feeder located in the chicken coop.

The railway doorstop system functions to increase the safety of road users and avoid accidents at crossings. This journal discusses the design and implementation of a train doorstop system using Arduino Uno with supporting components such as servo motors, LED lights, resistors and the HC-SR04 ultrasonic sensor. The simulation aims to automate the process of closing and opening gate latches based on the presence of trains, with results demonstrating the effectiveness of the system in improving safety at crossings.  

This research successfully designed and built a CNC drawing machine based on Arduino. The system utilizes NEMA stepper motors to move the X and Y axes, as well as a servo motor to control the Z axis. The Arduino Uno, supported by GRBL firmware, acts as the central controller that processes commands from the Inkscape software. The results of the research demonstrate that the developed CNC machine is capable of producing images with satisfactory accuracy. The appropriate selection of components and optimal parameter settings have contributed to the machine's reliable performance.

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.

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.

Radar is a tool that functions to determine the whereabouts of objects in the surroundings. A military defense system requires a system for monitoring and handling certain areas (land, sea, air) effectively and efficiently to prevent unwanted presence from entering private areas. This design is expected to increase the defense system's capabilities to make it easier to automatically track and destroy enemies. The laser gun is an actuator that is integrated to shoot enemies detected by radar. The servo motor drives the ultrasonic sensor and the diode laser which moves from 00 to 1800, the ultrasonic sensor is integrated into the servo motor which functions to detect objects by reflecting ultrasonic waves on the object and receiving them back when the waves hit the object, then the 5V diode laser is used as a weapon. will emit a laser beam when directed at an object detected by the servo motor. Processing3 software is used as a graphic programming tool that can display object detection read by the ultrasonic sensor. The results of this research are that the ultrasonic sensor is capable of detecting objects in the range 0-40cm and the servo motor is capable of reaching angles from 00 to 1800. And this system can work effectively during shooting so that it can meet defense needs in dealing with enemies and can work quickly and precisely.    

Karena meningkatnya kebutuhan listrik masyarakat Indonesia setiap tahunnya, penelitian sedang dilakukan untuk mengubah energi matahari menjadi energi listrik yang ramah lingkungan melalui konversi panel surya yang menghasilkan arus searah (DC). Karena sebagian besar panel surya diletakkan dalam posisi statis atau tidak bergerak, kemampuannya dalam menyerap sinar matahari tidak maksimal. Dengan menggunakan solar tracking sumbu ganda, posisi panel surya harus selalu melacak pergerakan cahaya matahari guna memaksimalkan energi matahari. Untuk mengetahui cara terbaik dalam menyerap sinar matahari, penelitian ini akan membandingkan daya listrik yang dihasilkan panel surya dengan dan tanpa solar tracking (statis). Penelitian ini menggunakan metodologi komparatif untuk mengetahui perbedaan keluaran daya antara solar tracking dan panel surya statis. Tegangan (V) diukur dengan multimeter, dan arus (I) diukur dengan tang ampere. Empat sensor LDR digunakan pada pelacak surya ini untuk mendeteksi sinar matahari. Mikrokontroler Arduino membaca keluaran sensor LDR dan menyalurkannya ke motor servo yang menggerakkan panel surya. Pengujian menggunakan panel surya statis dan solar pelacak, serta pengumpulan data arus (Ampere) dan tegangan (Volt) selama delapan jam, mulai pukul 08.00 WIB hingga pukul 16.00 WIB. Berdasarkan hasil pengukuran tegangan dan arus diperoleh daya total (P) sebesar 6,30 W tanpa solar tracking (statis) dan 30,37 W dengan menggunakan solar tracking. Hasil perhitungan panel surya dengan solar tracking dan tanpa solar tracking memperoleh persentase arus sebesar 78,37% dan daya sebesar 79,26%. Hasil penelitian ini mengungkapkan bahwa panel surya dengan menggunakan solar tracking lebih efisien dan optimal dalam menyerap sinar matahari dibandingkan tanpa solar tracking (statis).

Technological advances in the industrial era 4.0 mean that various things must prioritize convenience and efficiency in carrying out daily work such as carrying out automatic maintenance and control in the home. This has made many people able to produce various forms of technology that can be controlled automatically and help with work. people who can't take up much time. OT is a technology built to provide ease of work that can be connected to each other using the internet. One use of IoT technology is in the household sector to feed ornamental fish according to need and monitor remaining feed. This tool is designed for NodeMCU as control and an internet connection that is integrated with the Blink application. This tool consists of an HC-SR04 sensor input and a DS3231 RTC timer. The output of this tool uses a servo motor to open and close the contents of the fish feed. Arduino IDE software is used in NodeMCU coding and the Blynk application is used to connect the smartphone and NodeMCU. Based on the results of testing carried out, the system success rate has an average of 95% success. Meanwhile, the average delay is 0.052367 milliseconds.    

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.

In the era of maritime technology, Unmanned Surface Vehicles (USVs) are becoming the main vehicles on the water surface, controlled from land and capable of transmitting live data. USVs have a wide range of survey and exploration applications, relying on hydrographic knowledge for accurate mapping. USV development has adopted a double hull design, improving stability and wave resistance. Survey data transmission requires advanced technology, with Long Range (LoRa) technology being the solution for long distance data transmission with low power consumption. LoRa utilisation is expected to increase the efficiency of USVs in hydrographic surveys. The research and development (R&D) research method is used as the main approach in this research with the aim of creating and developing USVs that can increase efficiency in hydrographic surveys. The USV is equipped with an RPM sensor and flowmeter used to monitor the movement control of the USV in the waters. In addition, a depth detector is used to monitor the topography of the seabed. In order for this USV to run using a remote control that is controlled from land. The USV drive consists of a BLDC motor connected to the propeller and a servo motor connected to the ship's rudder. Furthermore, the data taken from the sensor is sent via LoRa to be delivered to the ground station. From the USV test results, it was found that the data transmission range with LoRa Ra-02 under Line of sight (LOS) conditions was 340 metres while under Non Light of sight (NLOS) conditions it was around 200 metres. The average speed travelled by USV is 0.616 km/hour in operational survey conditions and can be faster in non-operational survey conditions. The error value of the RPM sensor is obtained at 1.604% with a reading accuracy of 98.936%.

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.

Setiap pemilik rumah atau ruangan seringkali mengalami kelalaian ketika meninggalkan rumah atau ruangan. Salah satu kelalaian yang sering terjadi yaitu pintu yang belum terkunci. Penggunaan anak kunci untuk saat ini sangat mudah dirusak oleh pelaku kejahatan karena anak kunci yang digunakan masih kurang efektif dan mudah terjadi kehilangan saat pemakaian. Penelitian ini bertujuan untuk membantu pengguna dalam mengatasi kelalaian terhadap penguncian pintu apakah kondisi pintu sudah terkunci atau belum dari jarak dekat maupun jauh melalui smartphone. Prototipe ini dibangun dengan metode Prototyping dan diprogram agar dapat dikontrol menggunakan mikrokontroler ESP8266 berbasis Internet of Things (IoT) yang dilengkapi dengan komponen MC-38 Magnetic sensor, motor servo SG90, buzzer, RFID, dan kunci gerendel dengan terhubung pada penyimpanan Supabase dan Firebase yang nantinya akan ditampilkan pada aplikasi smartphone yang dibuat menggunakan Flutter. Prototipe ini dapat berfungsi dengan baik ketika melakukan penguncian dengan kunci gerendel pada pintu baik secara jarak jauh mapun dekat serta mendeteksi kondisi pintu yang terbuka atau tertutup dengan menyalakan buzzer dan mengirimkan data log juga notifikasi pada aplikasi smartphone. Hasil dari prototipe ini diharapkan dapat mengurangi pelaku kejahatan yang menyusup ke rumah atau ruangan melalui pintu masuk sebagai jalan utama memasuki rumah ataupun ruangan.