Student Attendance System Research Articles

Review on Academia Hub: Android Application for Student Attendance System

Until today, most lecturers in universities are found still using the conventional methods of taking students’ attendance either by calling out the student names or by passing around an attendance sheet for students to sign confirming their presence. In addition to the time-consuming issue, such method is also at higher risk of having students cheating about their attendance, especially in a large classroom. Therefore, a method of taking attendance by employing an application running on the Android platform is proposed in this paper. This application, once installed can be used to download the students list from a designated web server. Based on the downloaded list of students, the device will then act like a scanner to scan each of the student cards one by one to confirm and verify the student’s presence. The device’s camera will be used as a sensor that will read the barcode printed on the students’ cards. The updated attendance list is then uploaded to an online database and can also be saved as a file to be transferred to a PC later on. This system will help to eliminate the current problems, while also promoting a paperless environment at the same time. Since this application can be deployed on lecturers’ own existing Android devices, no additional hardware cost is required

Utilization of Internet of Things (IoT) for Biometrics Attendance and Web-Based Student Monitoring

SMPN 31 Tangerang aims to enhance the accuracy and efficiency of its student attendance system. The current problem is that the existing attendance system is easy to manipulate and lacks accuracy. This research aims to develop a biometric attendance system based on fingerprint technology to address these issues, with output presented in a web page format and without using paper. The methods used in this study include literature review, interviews, and observations for data collection. Development methods involve system design and the waterfall model. The developed attendance system utilizes IoT (Internet of Things) technology and electronic circuits to facilitate implementation and use. The research results show that the biometric fingerprint attendance system can improve student discipline. The system allows for attendance monitoring through a web interface, with data that can be backed up to Microsoft Excel. This device offers high accuracy, good attendance speed, and ease of use for students. In conclusion, the implementation of the biometric attendance system and web-based monitoring meets the school's needs for efficient and effective attendance management and monitoring.

Implementing QR code and Geolocation Technologies for the Student Attendance System

Attendance is one of the important factors in supporting lecture activities that can be used to see how well the performance of student attendance in class. Traditional attendance systems used in various educational institutions often cause problems. This research aims to develop an innovative and efficient student attendance system to help the process of taking attendance by utilizing QR-Code and geo-location technologies at Klabat University. The research method employed for this development is the Prototyping Model, which involves iterative development and refinement processes. The system is designed as a web-based application and a mobile application, developed using PHP as the programming language, MySQL as the database management system, Bootstrap 5 as the CSS and JavaScript framework for creating responsive websites, Apache as the web server and Ubuntu 22.04 as the operating system for the server. QR-Code technology is proposed as a medium for recording and verifying student attendance, while Geo-Location technology is used to verify the presence of students in the right lecture venue. The results of this research are expected to make a positive contribution to Klabat University in terms of recording student attendance.

Improving the interoperability of a Function‐as‐a‐Service platform using an orchestration framework with a cloud‐agnostic approach

AbstractFunction‐as‐a‐Service (FaaS) applications suffer from cold‐start latency owing to their high execution time and memory usage. We propose a FaaS orchestration framework based on a cloud‐agnostic approach for application and data interoperability. The framework's performance is evaluated on the web application of a student attendance system for online learning. The test system comprises 300 records from 50 students across five courses. Through optional file elimination, entry recognition, optional function generation, and function‐level rewriting, the proposed orchestration framework suitably manages the storage of the student attendance records. The framework notably contributes to the student attendance web application by ensuring scalable, reliable, and efficient operations. Various evaluation measures confirm the effectiveness of the orchestration framework. These measures include cold/warm‐start execution time, cold/warm‐start memory usage, and zip execution time. An empirical analysis reveals that our framework reduces the execution time by 2 s –15 s and memory usage by 1MB–3 MB for the evaluated application.

REAL TIME FACE ATTENDANCE SYSTEM USING DEEP LEARNING

One's face is a physical depiction of who they are. As a result, we have suggested a facial recognition- based automatic student attendance system. The usage of face recognition technology in everyday life is particularly beneficial for security control systems. Face recognition is used by the FBI (Federal Bureau of Investigation) for criminal investigations as well as the airport security system to identify criminals. In the first step of our suggested method, video framing, the camera is activated using a user-friendly interface. The Viola-Jones method is used to identify and segment the face ROI from the video frame. If necessary, image size scaling is done at the pre-processing step to prevent information loss. After using the median filter to reduce noise, color pictures are transformed into grayscale versions. Then, to improve the contrast of the pictures, contrast-limited adaptive histogram equalization (CLAHE) is applied. Principal component analysis (PCA) and improved local binary pattern (LBP) are used appropriately in the face identification stage to extract the characteristics from facial pictures. By minimizing the lighting impact and boosting identification rates, the improved local binary pattern outperforms the original local binary pattern in our suggested method. The features that were retrieved from the training pictures and the features that were extracted from the test images are then compared. The face pictures are then identified and categorized using the upgraded LBP, PCA, and algorithm that produced the best results. The acknowledged student's attendance will then be recorded and saved in the excel file. A warning will be sent if a student signs in more than once. The student who is not enrolled will also be allowed to register right away. When two photographs per person are trained, the average recognition accuracy is 100% for high-quality images, 94.12% for low-quality images, and 95.76% for the face database.

Student Attendance and Classroom Monitoring System Using IOT

Abstract: In classroom settings, taking after cooperation depends on manual collection, driving to time-consuming, and human botches. To overcome these challenges and to overhaul classroom Computerization, we propose a creative system joining fingerprint development and advanced sensors. The system leverages a microcontroller to robotize cooperation recording and classroom upkeep handle. One-of-a-kind finger impression highlights are considered to be the best and speediest methodology for biometric recognition confirmation. Classroom temperature and relative stickiness are two principal components for understudy reassurance. The center components of the system join a fingerprint sensor for secure affirmation, a DHT11 sensor for measuring temperature and mugginess levels, GSM Module to send day-by-day interest to enrolled versatile numbers. This proposed System offers a strong and compelling course of action to robotize interest and make strides in security measures in interior

Pengembangan Aplikasi Absensi Siswa Berbasis Web Pada SMKN 1 Karawang

The Student Attendance System application is a platform that provides information regarding student attendance records at school. At SMKN 1 Karawang, the process of recording student attendance has been carried out manually, starting from recording student attendance, managing attendance data, to preparing the final report. Manual approach This has proven to be less efficient and often produces inaccurate attendance data. Other problems that often arise related to document archiving include loss of notebooks or archives, difficulties in searching for data, and damage to archives. The aim of this research is to design a student attendance system that can makes it easier to manage student attendance data, especially by utilizing a web-based student attendance information system. This approach involves the use of Waterfall model development software and the PHP programming language with a MySQL database. The advantages and results of this web-based student attendance information system are that it provides a variety of features that will make it easier for teachers to manage student attendance data.

Deep Transfer Learning Approach for Student Attendance System During the COVID-19 Pandemic

Deep Transfer Learning Approach for Student Attendance System During the COVID-19 Pandemic

Smart Attendance Management System

This project is based on SMART STUDENT ATTENDANCE MANAGEMENT SYSTEM. A Student Attendance System is a critical component of educational institutions, designed to streamline the process of tracking and managing student attendance. It is used to automate attendance recording and reporting. It aims to improve efficiency, accuracy, and transparency in monitoring student attendance, making it invaluable tool for educators and administrators. A Student Attendance System contributes to better resource allocation and enhances overall educational experience for students and institutions alike.

Application Programming Interface (API) Development for Student Attendance System Using QR Code

Designing an application that requires communication between platforms need an intermediary to do it. The implementation of Application Programming Interface (API) from a designed system was done so the developers are able to access programmatic functions between different platforms. In the era of the information technology development as it is today, there are still many applications that are not computerized, such as the attendance recording systems. This research aims to develop API well on an Android-based student attendance system that uses the Quick Response code (QR code). To do so, first of all the design of system architecture was created to understand the communication flow between the platform. After that, the software development is done along with the test of API web services. In the end, with the integration of the Android client and web server on Laravel and assisted by the RESTful based web service, made that designed student attendance system becomes a safe and reliable.

NFC Data Security Using Hill Cipher

Near Field Communication (NFC) technology has become ubiquitous in various applications, from contactless payments to data transfer between devices. As the use of NFC expands, ensuring the security of transmitted data becomes paramount. This research investigates the application of Hill Cipher, a linear algebra-based encryption technique, to enhance the security of data transmitted via NFC. In the field of contemporary wireless technology, near-field communication (NFC) stands out as an important force, enabling contactless transactions and the seamless exchange of information between electronic devices. This research explores the innovative integration of NFC into the attendance input process, which is linked to a website-based attendance system. NFC's adaptability, which was initially prominent in payment cards, has expanded across industries, empowering smartphones, tablets, and wearable devices. This study contributes to the ongoing development of NFC technology, proposing a renewable solution for student attendance systems. With a vision of increased efficiency, this research anticipates increased utilization of time and resources, thereby providing a promising path for the advancement of attendance management. A comprehensive evaluation of the proposed NFC data security solution was conducted through simulations and practical implementations. The research assesses the impact on communication speed, energy consumption, and overall system performance. Results indicate that the integration of Hill Cipher introduces a negligible overhead on communication speed, making it a viable option for real-time NFC applications. Furthermore, the study addresses potential vulnerabilities and threats associated with NFC technology, emphasizing the role of Hill Cipher in mitigating risks such as eavesdropping and unauthorized data interception. The research considers practical implementation challenges and proposes strategies for seamless integration into existing NFC-enabled devices. In conclusion, this research contributes to the ongoing discourse on NFC data security by introducing Hill Cipher as a robust encryption mechanism. The findings underscore the feasibility of implementing this encryption technique without compromising the efficiency of NFC communication. The proposed secure communication protocol holds promise for enhancing the privacy and integrity of data transmitted via NFC, fostering trust in the expanding ecosystem of NFC-enabled applications.

Attendance Data Collection Using NFC Tags

In the field of contemporary wireless technology, near-field communication (NFC) stands out as an important force, enabling contactless transactions and the seamless exchange of information between electronic devices. This research explores the innovative integration of NFC into the attendance input process, which is linked to a website-based attendance system. NFC's adaptability, which was initially prominent in payment cards, has expanded across industries, empowering smartphones, tablets, and wearable devices. This study contributes to the ongoing development of NFC technology, proposing a renewable solution for student attendance systems. With a vision of increased efficiency, this research anticipates increased utilization of time and resources, thereby providing a promising path for the advancement of attendance management. Attendance tracking is a critical aspect of educational and organizational management, with traditional methods often plagued by inefficiencies and inaccuracies. This research explores the implementation of Near Field Communication (NFC) tags as a modern solution for attendance data collection. The study aims to assess the effectiveness of NFC technology in improving accuracy, efficiency, and real-time access to attendance information. The research employed a mixed-methods approach, incorporating a pilot study in an educational setting. NFC tags were distributed to participants, allowing for contactless attendance registration. Data was collected through observations, user feedback, and system logs. Additionally, a comparative analysis was conducted between NFC-based attendance tracking and traditional methods. Findings indicate a substantial improvement in accuracy and efficiency with NFC tags compared to traditional methods. Real-time data access provided administrators with up-to-the-minute attendance information, enabling timely interventions and streamlined record-keeping. User feedback highlighted the ease of use and convenience of the NFC-based system.

A Fingerprint based Students attendance System with SMS alert to Parents

Technological developments in the domains of electronics and telecommunication have led to an expanding variety of arrangements in the home and office. This project presents the design methodology for a mobile fingerprint-based student attendance system that utilizes a global system for mobile communication (GSM) technology. This course of study mostly entails matching fingerprints based on the number of minute pairings between two fingerprints and extracting minutiae points from model fingerprint pictures. The system has an attendance module and a terminal for collecting fingerprints. It is capable of autonomously carrying out tasks like fingerprint data collection and processing as well as wireless communication, creating an attendance record, and matching fingerprints. Following the attendance check, Through GSM, this technology transmits each student’s attendance to their parent’s mobile device. An attendance system makes it easier to obtain a specific student’s attendance for a given class. This effort heralds a new era for parent alerts and student security.

Utilising QR-Code of Covid-19 Vaccine for Attendance Using Extreme Programming Method

The digital attendance system enables more efficient data processing, real-time time monitoring, and reduces human errors in the recording process. One of the schools that has developed this technology is SMK Negeri 4 Kota Sorong. This is related to the last two years, where almost everyone has been required to receive the COVID-19 vaccine for prevention and monitoring of student attendance at school. To support the monitoring of student attendance at school, a web-based COVID-19 Vaccine QR-Code utilization system is needed at SMK Negeri 4 Sorong, Southwest Papua. This student attendance system has three access levels, which are divided into admin, teachers, and parents. This research uses PHP programming language and MySQL database. The development of this system is carried out using the Extreme Programming method, which includes steps such as problem identification, data collection, applying the Extreme Programming method, and implementation. The school attendance system, which has been built with its features, has been proven to work perfectly through feature testing using black-box testing with a 100% success rate. From the results of this testing, the utilization of the COVID-19 Vaccine QR-Code can be used for attendance and departure monitoring.

Review on Online Student Attendance System

Abstract: This abstract offers a comprehensive view of online student attendance, a crucial aspect of modern educational settings. With the paradigm shift to online learning, monitoring andensuring student attendance has become a paramount concern. This abstract examines the multifaceted dimensions of online attendance, encompassing its significance, challenges, strategies for improvement, and the tools and technologies employed to track and manage attendance. The significance of attendance in the virtual classroom is explored in terms of its correlation to academic performance, engagement, and overall student success. Furthermore, the challenges inherent in monitoring attendance in a remote environment are delineated, such as technical glitches, lack of student engagement, and the need for alternativeassessment methods. Strategies aimed at enhancing attendance and engagement are discussed, including fostering a sense of community, employing interactive teaching methodologies, and leveraging various digital platforms and applications to trackattendance. Additionally, the abstract provides insights into the ethical considerations of attendance monitoring in online education.

Teacher and Student Attendance System at Noor Faqih Usman Foundation Based on RFID Integrated with Raspberry Pi

In educational institutions, tracking attendance is crucial for ensuring effective administration and student engagement. This abstract presents the development of a Teacher and Student Attendance System at the Noor Faqih Usman Foundation, leveraging Radio Frequency Identification (RFID) technology integrated with Raspberry Pi. The proposed system aims to automate the attendance recording process, streamline administrative tasks, and enhance the overall efficiency of attendance management. This can create gaps in the development of data manipulation, data frameworks, and rigid systems. The purpose of this study was to create an RFID-Based Teacher and Student Attendance System integrated with Raspberry Pi. This study was conducted using a quantitative method of study and development study. This RFID-based attendance technology will later replace the role of paper to record the attendance of teachers and students using cards/keychains to make it easier to report attendance; data can be stored in digital form such as Excel, can be accessed via wireless smartphones, interested parties can monitor through the website, and the educational institution will be touched by at least technology. The results showed that the system was able to control the attendance process and succeeded well.

PENERAPAN FACE RECOGNITION DENGAN ALGORITMA VIOLA JONES DALAM SISTEM PRESENSI KEHADIRAN SISWA DAN GURU PADA SEKOLAH IDN BOARDING SCHOOL JONGGOL

The Viola-Jones algorithm is one algorithm that is often used to detect faces. The human face recognition system is an important technology that functions as a security system, control system, and others. This is in accordance with the research objectives, namely to determine the application of the Viola-Jones algorithm in detecting the faces of students and teachers at SMK IDN Boarding School. This research aims to develop a student and teacher attendance system at IDN Boarding School Jonggol using face recognition technology with the Viola-Jones algorithm. The developed attendance system aims to increase the effectiveness and efficiency in managing the attendance of students and teachers. Then identify attendance by comparing face images registered in the system database. The application used by the face recognition program is PyCharm Community 2023 Version 1.4 with the macOS operating system. The test used various expressions totaling 200 images of 20 people. The percentage of successful face recognition process is 95%. Some factors that affect the success of recognition are lighting, face distance and face position.

Penerapan Sistem Informasi untuk Media Absensi Menggunakan QR Code

Attendance is something that must be done by students. In the attendance process, SMPN 3 Terara still uses the manual method. Therefore, we need a student attendance system that can collect and store the data so that it can be processed quickly, efficiently and accurately. One of the technologies currently developing is QR Code, QR Code is very much needed because of its ability to store larger data so that it can provide fast and accurate services. One of the things that can be done to support the author in designing a QR Code Application for Media Student Attendance services for SMPN 3 Terara is using the Extreme Programming research method. The purpose of this research is to establish an attendance system so that the process will be more efficient and can be monitored easily by the teacher and by the academic department. The results of this study are a student attendance application that uses a QR code as a medium for student attendance input based on a local network which is implemented in order to create an attendance information system that provides convenience for students in the attendance process, reduces acts of cheating committed by students, and facilitates reports when making recaps report.

Smart Attendace System Using ML

Abstract: The world is changing, and automatic face recognition (AFR) technologies have advanced greatly. Smart Attendance with Real-Time Face Recognition is a practical method for managing the student attendance system on a daily basis. The technique of recognising a student's face for collecting attendance using facial biometrics based on high-definition monitor footage and other information technology is known as a face recognition-based attendance system. In my face recognition project, a computer system will be able to quickly and accurately find and recognise human faces in pictures or videos being taken using a security camera. Many algorithms and methods have been created to enhance facial recognition ability, however deep learning is the idea that will be used in this case. It assists in turning the video frames into photos so that the student's face can be quickly identified for their attendance and the attendance database can be quickly updated automatically.

Implementasi Aplikasi Learning Management System and Student Attendance pada IDN Academy Berbasis Web

The purpose of this service activity is to assist IDN Academy in improving the learning process and student Attendance through the implementation of the Learning Management System (LMS). Application and web-based Attendance system for students. A waterfall research collaboration service methodology is used to perform the stages of system analysis, system design, implementation, testing, and analysis of results. During the service process, a system analysis was performed to determine the needs and requirements of the LMS application and web-based student Attendance system. In addition, we will create a use case diagram that explains the functions of the entire system and design the system. We then ran the implementation phase, distributing questionnaires on a Likert scale of 1 to 5, and testing the application with black box and system quality tests. Test results showed that the LMS application and web-based student Attendance system enabled IDN Academy to manage student learning and Attendance effectively and efficiently. Respondents also agreed on the quality of the system, achieving an average score of 4.2 on the distributed questionnaire. The results of this service are expected to enable IDN Academy to leverage its LMS application and web-based student Attendance system to improve the quality of student learning and Attendance.