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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.

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.

Attendance is a data collection activity to determine the number of people present at an event. Every activity always requires information about participant attendance. This also happens in the learning process. The benefit of attendance using an Arduino based RFID scanner is that it makes it easier for attendance officers to input practical data because they can retrieve and store attendance data from RFID tags directly. Research on the development of attendance to become more effective in the education sector. Every activity that requires information about participant attendance will definitely utilize the use of tools that are used as proof of participant attendance, while teacher attendance currently used is using fingerprints. When absent, problems often occur, namely the finger that will be used to do the fingerprinting. Based on the background above, the author created automatic attendance to make attendance easier while at the agency where the teacher teaches. Meanwhile, the barcode scanner is a faster data input process compared to the manual method. This input process can be done with a scanner to record the data contained in the barcode quickly, so it doesn't need to take a lot of time.

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.