Publication Search

The distinctive markings on the fingers are known as biometrics. The fingerprint attendance method uses biometrics. Without developing a usable fingerprint tool, research on fingerprint attendance is restricted to processing attendance data. As a result, an Arduino-based fingerprint approach was used to construct an attendance tool. The education sector is where SMK Negeri 1 Indralaya Utara. The school's student attendance system is still operated manually. In this study, the system uses fingerprints and camera recording to track students' locations. Using an Arduino Mega as a microcontroller, this tool will display student attendance information on an LCD, save it on an SD card module, and send the ESP32CAM-generated photographs over Telegram. The literature review is the first step in the research process, followed by hardware and software design. Following completion, the tool is put through testing to evaluate its functionality. Each of the ten participants scanned their thumb and index finger. The thumb and index finger have an average of five tests, with a 0.28% mistake rate, depending on the number of trials. Each component's error percentage is less than 1% while still falling within the 5% tolerance limit. The image test results indicate two conditions: 20 cm and greater. The ESP32CAM will activate when we take a picture at a distance of 20 cm.

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

Conventional attendance systems often face various problems such as inefficiency, inaccuracies in attendance logging, and limitations in recapitulation processes. Manual systems are prone to human error and time-consuming, while fingerprint-based systems may fail when the sensor is affected by dirty, wet, or damaged fingers. This study aims to develop an attendance system based on Artificial Intelligence (AI) by utilizing the face_recognition function in Python and implementing a microservice architecture to improve efficiency and accuracy in attendance recording. The system is developed using the Agile Feature-Driven Development (FDD) method, which focuses on building system features based on prioritized business values. This method is applied within the Software Development Life Cycle (SDLC) to ensure a structured, iterative, and user-oriented development process. Facial recognition is performed by comparing the encoding of the captured face image with the data stored in the database. The results show that the system is capable of recording attendance automatically, accurately, and in real-time. Furthermore, the recapitulation process becomes more efficient as the system manages and presents the data systematically.

In the modern era, the need for sophisticated vehicle security systems is increasing along with the high rate of motor vehicle theft. This research designs and implements a fingerprint sensor-based vehicle security system using an Arduino Uno microcontroller. This system aims to improve security by utilizing biometric technology that can only be accessed by verified users. The fingerprint sensor is used to recognize the user's fingerprint, then activate the system through a relay instead of a conventional key. System testing shows a fast response time with an estimated rise time of about 0.5 seconds and settling time of about 2 seconds, without any misidentification (false positive or false negative). Thus, the system is proven to provide higher security, good authentication speed, and ease of use compared to conventional security systems. These results show that the implementation of biometric technology in vehicles has the potential to be widely applied.

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.    

Different types of attendance systems are used in various settings such as schools and companies, namely web-based systems that can be used as a substitute for absenteeism. Another attendance system being developed is a QR Code based attendance system which requires user verification using RFID fingerprint or voice command. It is necessary to develop an attendance system that uses RFID sensors at universities as a technological adaptation.Currently, lecture attendance at the Fakfak State Polytechnic College, especially in the Informatics Management Department, still uses a manual attendance system, namely taking attendance of students using an attendance book every class hour. Running absenteeism creates a problem, namely that it is impractical. The impracticality of this system can be that it takes a lot of time to register students one by one, thereby cutting into course hours. Not to mention the phenomenon of leaving absences which usually takes advantage of lecturers' negligence to sign the absences of friends who are unable to come. You can also directly sign attendance from the first meeting to the last meeting. So the author conducted research on making student attendance tools that use RFID, and can monitor student attendance data by lecturers via a website. Based on these problems, an attendance system based on RFID (Radio Frequency Identification) using NodeMCU is expected to be able to solve these problems.

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.

Seiring perkembangan zaman dan teknologi yang pesat saat ini, dalamkehidupan sehari-hari manusia tidak pernah lepas dari aktivitasnya untuk berinteraksi dengan peralatan elektronik yang membantu dan mempermudah pekerjaan manusia. Salah satunya adalah brankas otomatis dengan keamanan menggunakan sensor facerecognition dan fingerprint supaya perhiasan dan barang berharga lainnya lebih terjamin keamanannya dengan sistem keamanan ganda pada brankas.   Proyek akhir ini bertujuan untuk mengembangkan sebuah teknologi yang memanfaatkan beberapa macam komponen sensor, dimana komponen sensor tersebut melibatkan sensor getar untuk mengirimkan sms gateway jika brankas berpindah tempat, dan sim800l akan mengirimkan titik kordinat brankas berupa sms gateway. Dan GPS akan melacak keberadaan brankas sesuai titik kordinat tersebut. Buzzer akan berbunyi untuk memberikan tandaatau notifikasi.

Abstrak Perkembangan ilmu pengetahuan dan teknologi semakin maju terutama dibidang teknologi elektro atau teknologi elektronika, banyak keuntungan yang didapatkan akan berkembangnya suatu teknologi namun semakin berkembangnya teknologi makin banyak pula tindak kriminal dan semakin pintar pula pelaku kriminal terutama pada pencurian kendaran. Kita membutuhkan lahan parkir yang aman untuk menyimpan kendaraan kita, peningkatan kemaanan merupakan salah satu yang harus diperhatikan dalam membuat perancangan sistem keamanan parkir. Sistem tersebut diharapkan menurangi tingkat kriminal yang ada disekitar kita. Perancangan sistem parkir ini menggunakan teknologi fingerprint sensor dan Barcode scanner. Bukan hanya sistem keamanan yang di perkuat alat ini pun dapat memberikan informasi data diri dan informasi kendaraan yang di tampilkan pada LCD dengan menggabungkan data sidik jari pengendara. Dengan menggunakan sistem fingerprint yang berkesinambungan dengan barcode scanner diharapkan menekan resiko pencurian kendaraan yang berada pada lingkungan parkir. Metode menyatukan Fingerprint sensor dan barcode scanner yaitu menggunakan mikrokontroler Arduino Wemos D1 R1 yang terkoneksi dengan internet.      Kata Kunci: Parkir, Fingerprint Sensor, Barcode Scanner, Arduino Wemos D1 R1

Security aspects is needed in various fields of life today. Safety is becoming a concern for everyone. One of the important concerns is the security of the room. The indoor security system uses Raspberry Pi and RFID based Firebase Cloud Messaging and Motion Detection Camera, is a room security system that includes expensive equipment, so this device is designed for protection or robbery and also provides assistance in advance. . The security system in this room consists of several parts, namely Raspberry Pi as a brain system, selenoid door lock as an electric lock on the door, RFID system and CCTV camera as a detector of the amount of human movement, PIR sensor as a detector of human temperature, alarm as an indicator of intruders which transfers rooms, and database applications as user storage databases for security recorders