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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).

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.

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.    

This article discusses the use of Faraday’s law and Lorenz's force in the use of magnetic brake technology on motorbikes in an effort to increase the efficiency and sustainability of transportation. The magnetic brake is made of non-ferromagnetic metal, the disk is flanked by a coil that carries an electric current which is then regulated by a driver and uses an Arduino to be able to regulate and measure the current strength in the magnetic brake. The research results show that magnetic brakes are able to provide significant speed reduction by producing consistent and responsive braking force. With the wider use of magnetic brakes, these findings show the great potential of magnetic brake technology in improving the operational efficiency of motorbikes. Research supports further development and application of this technology in the automotive industry.  

Penelitian ini bertujuan untuk merancang mesin router mini CNC 3 axis. Rumusan masalah penelitian ini adalah; bagaimana proses pembuatan mesin mini CNC dan bagaimana proses pengujian mesin mini CNC. Perancangan mesin ini dibagi menjadi beberapa tahap diantaranya; desain bagian rangka, bagian kelistrikan, bagian penggerak dan bagian sistem kendali. Desain bingkai menggunakan software Solidworks. Bahan rangka yang digunakan adalah alumunium dan ABS. Hasil analisa statik pada sumbu x mempunyai tegangan von misses maksimum sebesar 6,547 N/mm2 dengan beban sebesar 30 N dan pada sumbu y dengan tegangan von misses maksimum sebesar 11,805 N/mm2 dengan beban sebesar 50 N Motor stepper yang digunakan adalah motor stepper Nema 17. Daya yang dibutuhkan untuk motor stepper sumbu x sebesar 0,3297 watt, untuk sumbu y sebesar 0,471 watt dan untuk sumbu z sebesar 0,0785 watt. Sistem kendali pada mesin CNC Router 3 Axis ini menggunakan komponen Arduino UNO, CNC Shield Expansion Board, driver motor stepper A4988, Firmware GRBL dan aplikasi GRBL Controller.

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

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.    

Pond fish farming requires regular care and feeding of the fish. Fish feeding is usually done manually by spreading the food over the entire surface of the pond. Spreading feed manually will take a long time to feed and drain energy. It is not uncommon for owners to sometimes forget to feed the fish at the specified time. Based on these problems, the NodeMCU ESP8266-based automatic fish feeding system with blynk time setting is able to assist fish farmers in the process of feeding automatically according to the desired time. This automatic fish feeding device can act as a timer for fish feeding and the amount of food released per time is determined automatically in the Arduino ide program. This automatic fish feed has a time input which is then processed by the NodeMCU ESP8266 as a microcontroller and an internet connection (Wifi) connected to the blynk. This automatic fish feed is very useful for consumers in terms of feeding fish regularly and regularly, and most importantly to avoid forgetting or even overfeeding.

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 %.