Attandance System

The rapid advancement of technology has significantly transformed the landscape of education, giving rise to the widespread adoption of Learning Management Systems (LMSs). This study aims to investigate the impact of LMS usage and achievement motivation on International Baccalaureate (IB) student outcomes at Pelita Harapan Lippo Cikarang, shedding light on the complex dynamics that shape academic success in a digital age. Through analyzing survey responses and academic performance data, it was revealed that students who actively engaged with the LMS showed higher levels of motivation and subsequently achieved better academic results. This suggests that the integration of technology in education, specifically through LMS platforms, can have a profound impact on student learning and motivation. These findings have important implications for educators and school administrators, highlighting the importance of incorporating innovative technological tools to enhance student outcomes.

RFID is an acronym for "radio-frequency identification" RFID technology is an automatic wireless identification system that works by the help of two components: a card and a reader. Using the RFID technology, the conventional system of taking attendance can be completely transformed to be more in line with strides in digitalization. This system will help the authorities manage the attendance system in a more methodical, efficient and time saving manner. The proposed system has been implemented through a prototype that has proved the effectiveness of the concept in easing the logistics of taking attendance as a result of the automation due to the use of the RFID technology. The design of the system is simple, cost effective and agile making it a good candidate for commercial and academic purposes.

The purpose of this study was to analyze the effect of associate degree formal and distance education students course attendance upon their course achievement. The data were obtained from the institutional records of 516 students who registered in formal education programs and 510 students who registered in distance education programs of a vocational school affiliated to a state university in Eastern Anatolian Region of Turkey. It was noticed that course attendance of formal education students was higher than those who registered in the distance education programs; on the other hand, formal education students were more successful rather than distance education students in terms of midterm, final exam and grade point average. It was determined that course attendance was a significant predictor of midterm, final exam and grade point average, and the achievement scores increased as the course attendance increased, as well. Taking measures to encourage students’ attendance in courses in...

This study presents an alternative approach to attendances registration and tracking in educational system. The aim of the study is to prevent attendance registration by proxy which very paramount among students especially for a large class in our institutions of learning in Nigeria. In this work and automated biometric attendance register system was designed and implemented using Arduino Uno, R305/R307 Fingerprint Sensor, DS3231/DS1307 RTC Module, 16x2 LCD Display, Potentiometer 10K, Push Buttons, Buzzer 5V, LED 5mm. The hardware/software design and implementation were carefully carried out and testing was carried out at every stages of implementation of the design. The final product testing reveals that attendance by proxy can be totally deterred by adoption of the product for attendance registration in the higher institution of learning. Also tracking of the attendance for the purpose of decision making will be made easy and consequently improving accuracy and reducing attendance fraud in the higher Institution of learning.

Active learning becomes a strategical approach for an educational principle. The student engagement become a wider concern. Many researches have been proposed to support the approach. However, one of issues is how to effectively evaluate the performance and progress of students’ learning. Although, having student engagement in a classroom is vital, the evaluation of students’ performance is more important. However, keeping up the details or records of students’ progress is a difficult task. We therefore propose a support for instructors to evaluate the performance of their students. In particular, a prototype tool is designed and developed in order to facilitate the evaluation of activities based on an active learning class. The tool also encompasses the web service for a function of face feature recognition. Two scenarios of active learning classrooms are created in order to evaluate the prototype tool. We also plan to create a larger number of scenarios which involve different cla...

Most agencies combat the delicate device of retaining their guide attendance scholars. The manual approach of subscribing to the paper is long-lasting and unsafe. A high-quality attendance monitoring gadget ought to be done in "analogous places". An RFID (Radio Frequency Identification) predicated go-to gadget the usage of the IoT system is one of the consequences on deal with this issue. This paper is about the origins of the IoT-predicated Attendance Monitoring System, which identifies each persona. The pupil as having supported the RFID marker tied to their identification card. This makes the attendance recording medium royal, quick, and impenetrable compared to the ordinary system. The device is deliberate to be used in several instructional establishments, marketable services, government services, etc. The proposed technique consists of assault elements that assist IoT technology. "The attack issue includes the EM-18 RFID card florilegium and RFID labels/cards". Scholars ought to place their RFID card or marker on the florilegium and their presence will be documented the everyday. Also, the recorded visit is extra specific due to the fact the technique syncs with the real-time timer the usage of the RTC (Remote Time Clock) module.

The aim of this study is to present a model proposal on determining the student participation rate in synchronous courses given in Learning Management Systems (LMS). Especially in situations where equal opportunities cannot be provided or opportunities are limited, distance education provides benefits for learning anytime and anywhere (ubiquitous learning) with the support of educational technologies. When the literature is examined, thanks to distance education; It is seen that it offers a very advantageous teaching environment in terms of location, time, convenience in accessing the resources needed and cost-benefit. However, when the literature is analyzed, it is found that there is a problem in determining the participation levels and rates of students in the Learning Management Systems used in distance education. Students access the activity or course in LMS using text-based user information and passwords. Unfortunately, it is not possible to determine with the current LMS whether the participant is the real responsible person or he/she is actively/synchronously following the course. In this context, a design model has been presented using face recognition algorithms to determine attendance in distance education, to ensure more active participation and to increase success indirectly. In the proposed model, tests were made using special filters for image processing, and in cases where the number of samples was increased, more than 80% accuracy was provided. The proposed design model was developed in Visual Studio.Net platform and coded on C# programming language. SQL server is used as database management system and EmguCV library is used for the image processing stages.

This paper introduces an e-learning platform for the management of courses based on MOOCs, able to continuously monitoring student’s behavior through facial coding techniques, with a low computational effort client-side, and to provide useful insight for the instructor. The system exploits the most recent developments in Deep Learning and Computer Vision for Affective Computing, in compliance with the European GDPR. Taking as input the video capture by the webcam of the device used to attend the course, it: (1) performs continuous student’s authentication based on face recognition, (2) monitors the student’s level of attention through head orientation tracking and gaze detection analysis, (3) estimates student’s emotion during the course attendance. The paper describes the overall system design and reports the results of a preliminary survey, which involved a total of 14 subjects, aimed at investigating user acceptance, in terms of intention to continue using such a system.

This paper introduces an e-learning platform for the management of courses based on MOOCs, able to continuously monitoring student’s behavior through facial coding techniques, with a low computational effort client-side, and to provide useful insight for the instructor. The system exploits the most recent developments in Deep Learning and Computer Vision for Affective Computing, in compliance with the European GDPR. Taking as input the video capture by the webcam of the device used to attend the course, it: (1) performs continuous student’s authentication based on face recognition, (2) monitors the student’s level of attention through head orientation tracking and gaze detection analysis, (3) estimates student’s emotion during the course attendance. The paper describes the overall system design and reports the results of a preliminary survey, which involved a total of 14 subjects, aimed at investigating user acceptance, in terms of intention to continue using such a system.

Smartphone usage has revolutionized the world to many settings including that of the education system with numerous potential and realized benefits. While the functions of smartphones, such as text messaging, multimedia, and Internet connectivity, may seem purely recreational, they can be used within the academic institution to manage students attendance to speed up the process of taking attendance by academic instructors, hence reduces time, human errors and redundant works as compared to the manual attendance system. In this paper, we introduced an automatic examination attendance system on smartphones based on the Barcode to automatically capture student examination attendance. Although many existing systems (Sudha et al. 2015) have been proposed using smartphones for automatic student attendance, there is little study known about a system that is specifically designed for capturing student examination attendance. The main difference among our system and existing systems is that ...

Marking the attendance of the students is very important in universities, colleges, and institutions. The main objective of this work is to make a portable attendance system. We have used RFID technology for this system. The main aim of our system is to get the attendance without wasting time, without any paperwork, and also to get the attendance details quickly. This system has a microcontroller and that is the heart of the system. After we entered the information about the student's ID, the system will save it automatically, and then the system can work on its own.

The aim of this study is to present a model proposal on determining the student participation rate in synchronous courses given in Learning Management Systems (LMS). Especially in situations where equal opportunities cannot be provided or opportunities are limited, distance education provides benefits for learning anytime and anywhere (ubiquitous learning) with the support of educational technologies. When the literature is examined, thanks to distance education; It is seen that it offers a very advantageous teaching environment in terms of location, time, convenience in accessing the resources needed and cost-benefit. However, when the literature is analyzed, it is found that there is a problem in determining the participation levels and rates of students in the Learning Management Systems used in distance education. Students access the activity or course in LMS using text-based user information and passwords. Unfortunately, it is not possible to determine with the current LMS whether the participant is the real responsible person or he/she is actively/synchronously following the course. In this context, a design model has been presented using face recognition algorithms to determine attendance in distance education, to ensure more active participation and to increase success indirectly. In the proposed model, tests were made using special filters for image processing, and in cases where the number of samples was increased, more than 80% accuracy was provided. The proposed design model was developed in Visual Studio.Net platform and coded on C# programming language. SQL server is used as database management system and EmguCV library is used for the image processing stages.

Smartphone usage has revolutionized the world to many settings including that of the education system with numerous potential and realized benefits. While the functions of smartphones, such as text messaging, multimedia, and Internet connectivity, may seem purely recreational, they can be used within the academic institution to manage students attendance to speed up the process of taking attendance by academic instructors, hence reduces time, human errors and redundant works as compared to the manual attendance system. In this paper, we introduced an automatic examination attendance system on smartphones based on the Barcode to automatically capture student examination attendance. Although many existing systems (Sudha et al. 2015) have been proposed using smartphones for automatic student attendance, there is little study known about a system that is specifically designed for capturing student examination attendance. The main difference among our system and existing systems is that ...

This paper is about an RFID based smart gate entry control system (GECS) which is developed for the employees of an organization to supervise and record their entry related activity. Entire system is developed with low frequency RFID reader & passive tag at one end & network based application software running at the other end. The developed application with back-end application software provides solutions regarding employee presence in the organization, keep track their transaction, and calculate total work duration within organization. Here we discussed data base technique & logic for automatic report generation related to employee's monthly presence activity. We also discussed about why & how SMTP code can be helpful to develop an auto E-mail delivery feature for the monthly report to the concerned employee's institutional Head.

The aim of this study is to present a model proposal on determining the student participation rate in synchronous courses given in Learning Management Systems (LMS). Especially in situations where equal opportunities cannot be provided or opportunities are limited, distance education provides benefits for learning anytime and anywhere (ubiquitous learning) with the support of educational technologies. When the literature is examined, thanks to distance education; It is seen that it offers a very advantageous teaching environment in terms of location, time, convenience in accessing the resources needed and cost-benefit. However, when the literature is analyzed, it is found that there is a problem in determining the participation levels and rates of students in the Learning Management Systems used in distance education. Students access the activity or course in LMS using text-based user information and passwords. Unfortunately, it is not possible to determine with the current LMS whether the participant is the real responsible person or he/she is actively/synchronously following the course. In this context, a design model has been presented using face recognition algorithms to determine attendance in distance education, to ensure more active participation and to increase success indirectly. In the proposed model, tests were made using special filters for image processing, and in cases where the number of samples was increased, more than 80% accuracy was provided. The proposed design model was developed in Visual Studio.Net platform and coded on C# programming language. SQL server is used as database management system and EmguCV library is used for the image processing stages.

This paper introduces an e-learning platform for the management of courses based on MOOCs, able to continuously monitoring student’s behavior through facial coding techniques, with a low computational effort client-side, and to provide useful insight for the instructor. The system exploits the most recent developments in Deep Learning and Computer Vision for Affective Computing, in compliance with the European GDPR. Taking as input the video capture by the webcam of the device used to attend the course, it: (1) performs continuous student’s authentication based on face recognition, (2) monitors the student’s level of attention through head orientation tracking and gaze detection analysis, (3) estimates student’s emotion during the course attendance. The paper describes the overall system design and reports the results of a preliminary survey, which involved a total of 14 subjects, aimed at investigating user acceptance, in terms of intention to continue using such a system.

Smartphone usage has revolutionized the world to many settings including that of the education system with numerous potential and realized benefits. While the functions of smartphones, such as text messaging, multimedia, and Internet connectivity, may seem purely recreational, they can be used within the academic institution to manage students attendance to speed up the process of taking attendance by academic instructors, hence reduces time, human errors and redundant works as compared to the manual attendance system. In this paper, we introduced an automatic examination attendance system on smartphones based on the Barcode to automatically capture student examination attendance. Although many existing systems (Sudha et al. 2015) have been proposed using smartphones for automatic student attendance, there is little study known about a system that is specifically designed for capturing student examination attendance. The main difference among our system and existing systems is that ...

Smartphone usage has revolutionized the world to many settings including that of the education system with numerous potential and realized benefits. While the functions of smartphones, such as text messaging, multimedia, and Internet connectivity, may seem purely recreational, they can be used within the academic institution to manage students attendance to speed up the process of taking attendance by academic instructors, hence reduces time, human errors and redundant works as compared to the manual attendance system. In this paper, we introduced an automatic examination attendance system on smartphones based on the Barcode to automatically capture student examination attendance. Although many existing systems (Sudha et al. 2015) have been proposed using smartphones for automatic student attendance, there is little study known about a system that is specifically designed for capturing student examination attendance. The main difference among our system and existing systems is that ...

Managing identities and access control in higher education remains one of the greatest challenges since the requirements for user profiles and access control policy differ, depending on whether the user is a student or a member of the institution (such as an employee or professor). Moreover, only authorized individuals (e.g., professors) are allowed to execute some operations or access to specific areas within the educational environment. Nevertheless, as the financial sustainability is one of the key challenges for Europe's universities and institutes, both performance and low-cost solutions need to be considered. This paper presents the development of an integrated low-cost access control solution applied to the educational environment. Besides describing the access control to classrooms, laboratories and departments, this work also focus on the student attendance and parking management inside the campus. Preliminary experiments validated on the Engineering Institute of Coimbra (ISEC) show that the herein proposed out-of-the-box solution easily allows managing, controlling and visualizing the attendance of students.

Smartphone usage has revolutionized the world to many settings including that of the education system with numerous potential and realized benefits. While the functions of smartphones, such as text messaging, multimedia, and Internet connectivity, may seem purely recreational, they can be used within the academic institution to manage students attendance to speed up the process of taking attendance by academic instructors, hence reduces time, human errors and redundant works as compared to the manual attendance system. In this paper, we introduced an automatic examination attendance system on smartphones based on the Barcode to automatically capture student examination attendance. Although many existing systems (Sudha et al. 2015) have been proposed using smartphones for automatic student attendance, there is little study known about a system that is specifically designed for capturing student examination attendance. The main difference among our system and existing systems is that existing systems are using extra hardware device Barcode reader while our system is using smartphone, which highly reduce the cost. Our experiment shows that our proposed student examination attendance system is better for capturing the student attendance information during the examination as compared to the general student attendance systems.

Managing identities and access control in higher education remains one of the greatest challenges since the requirements for user profiles and access control policy differ, depending on whether the user is a student or a member of the institution (such as an employee or professor). Moreover, only authorized individuals (e.g., professors) are allowed to execute some operations or access to specific areas within the educational environment. Nevertheless, as the financial sustainability is one of the key challenges for Europe's universities and institutes, both performance and low-cost solutions need to be considered. This paper presents the development of an integrated low-cost access control solution applied to the educational environment. Besides describing the access control to classrooms, laboratories and departments, this work also focus on the student attendance and parking management inside the campus. Preliminary experiments validated on the Engineering Institute of Coimbra (ISEC) show that the herein proposed out-of-the-box solution easily allows managing, controlling and visualizing the attendance of students.

This paper talks about a new environmental friendly parking system that is able to reduce the pollution on earth compared to other generic parking systems. The three main concern for our parking system is the about the impacts towards the environment, the cost of this system and the overall satisfaction that users will get from using this newly designed system. The research methodology used in this project is sequential mix mode to collect data by using online survey and experiment to validate the result. It also addresses the current problem of pollution.

On some campuses in Indonesia, student attendance at lectures is very important session to be recorded. Lecturer requires the presence of at least some (e.g. 80%) to be able to follow the final exams. Several other professors, often also found the presence weighs on the final assessment of students (e.g. 5%).
Currently, student attendance recapitulation done manually through the sheets of paper signed the attendance list manually. Student attendance recapitulation process takes longer.
These studies develop an automated detection system student attendance by applying RFID technology. Business processes a campus attendance system manual will serve as a model for the development of applications that will be able to summarize the presence of a total attendance of students for a course, the number of lectures given by professors and students overall attendance statistics.

Automatic Vehicle Identification (AVI) technology can be used to significantly improve the efficiency of lecturer's attendance system by providing the capability of automatic identification and data capture. This technology poses many new challenges on current data management systems. AVI data are time-dependent, dynamically changing, in large volumes, and carry implicit semantics. Radio frequency identification (RFID) data management systems need to effectively support such large scale temporal data created by RFID applications. These systems need to have an explicit temporal data model for RFID data to support tracking and monitoring attendance. In addition, the university needs to have an automatic method to transport data from AVI reader to database. This research proposed a framework for Automatic lecturer's Attendance system using AVI technology. A prototype has been developed to test the framework.

Attendance register is a fundamental and compulsory tool in the academic environment. Despite the use of different mechanisms in the IT Department in CPUT to track students' attendance, problems remain because there is not a standard format for the attendance register, what makes the manual analysis of it inconvenient, time consuming and inaccurate. A standardised and consistent attendance register system does not exist in CPUT. The paper presents a network based automatic attendance register system with use of RFID technology as the solution to ensure the well being of the institution and academic progression of students. An electronic solution is a more effective mechanism to for collection, processing, storage and production of attendance reports and long-term analysis.