Relevant bibliographies by topics / Faculty class attendance monitoring system

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Academic literature on the topic 'Faculty class attendance monitoring system'

Author: Grafiati
Published: 7 June 2025
Last updated: 26 June 2025

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Journal articles on the topic "Faculty class attendance monitoring system"

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Anna, Fay E. Naive, Joseph M. Estrera Paul, and O. Pachica Archie. "Design and implementation of faculty class attendance monitoring system using BLE beacons." Indian Journal of Science and Technology 13, no. 40 (2020): 4234–43. https://doi.org/10.17485/IJST/v13i40.1527.

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Abstract <strong>Objectives</strong>: To create a hardware and software tool that can be used for monitoring the faculty attendance and to generate customized reports.&nbsp;<strong>Methods/Statistical Analysis:</strong>&nbsp;The Bluetooth Low Level Energy (BLE) beacons would be set as stationary device that has proximity unique identifier. Once the smartphone of the faculty is within the range of the beacon, it can then record the faculty&rsquo;s attendance. Calibrated beacon range makes the proposed design unique in terms of addressing common attendance tracking issues. Also, an automated attendance monitoring tailored based on the periodic report the Human Resource (HR) of the university. The researchers conducted a testing in the laboratory classrooms to check the functionality and reliability of the automated attendance monitoring.&nbsp;<strong>Findings</strong>: Based on the testing conducted, the system is capable to detect the faculty once he/she is inside the classroom, records his/her attendance and generates reports. The mean percentage error is 8.02% which means that the BLE beacon is acceptable in detecting the faculty&rsquo;s smartphone prior entering to his/her class.<strong>Keywords</strong>: Faculty class attendance monitoring system; Bluetooth low level energy beacons
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Naive, Anna Fay E. "Design and implementation of faculty class attendance monitoring system using BLE beacons." Indian Journal of Science and Technology 13, no. 40 (2020): 4234–43. http://dx.doi.org/10.17485/ijst/v13i40.1527.

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Objectives: To create a hardware and software tool that can be used for monitoring the faculty attendance and to generate customized reports. Methods/Statistical Analysis: The Bluetooth Low Level Energy (BLE) beacons would be set as stationary device that has proximity unique identifier. Once the smartphone of the faculty is within the range of the beacon, it can then record the faculty’s attendance. Calibrated beacon range makes the proposed design unique in terms of addressing common attendance tracking issues. Also, an automated attendance monitoring tailored based on the periodic report the Human Resource (HR) of the university. The researchers conducted a testing in the laboratory classrooms to check the functionality and reliability of the automated attendance monitoring. Findings: Based on the testing conducted, the system is capable to detect the faculty once he/she is inside the classroom, records his/her attendance and generates reports. The mean percentage error is 8.02% which means that the BLE beacon is acceptable in detecting the faculty’s smartphone prior entering to his/her class.
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Al-Monte, Vince M. Calo, B. Barbosa Jocelyn, and C. Llevado Jomar. "In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with Captured Image Cross-verification Mechanism." Indian Journal of Science and Technology 14, no. 45 (2021): 3335–43. https://doi.org/10.17485/IJST/v14i45.1782.

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<strong>Objectives:</strong>&nbsp;Faculty attendance in schools are monitored based on Daily Time Record (DTR) which captures a daily time-in and time-out of teachers in and out of the school campus using various technologies and methods, however there is a scarcity of studies in monitoring faculty attendance in the actual bounds of the classroom. Hence, this study aimed to develop an In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with captured image cross-verification mechanism.&nbsp;<strong>Methods:</strong>&nbsp;The system comprises two modules, namely the Teacher Attendance Module and Attendance Monitoring Web Application module. The Teacher Attendance Module, it is composed of a UHF-RFID reader and a camera module that is interfaced to the Raspberry Pi board. Passive tags are embedded on the teachers&rsquo; ID cards for them to be uniquely identified by the UHF-RFID reader when they are within the 2- meter read distance. Meanwhile, the Attendance Monitoring Web Application module is developed using a PHP framework connected to a MySQL database. It aggregates the attendance data collected from the Teacher Attendance Module for monitoring purposes which is accessible to both the monitoring staff and teachers via a web browser.&nbsp;<strong>Findings:</strong>&nbsp;Based on the evaluation results, the proposed system received positive feedback from the end users in terms of its functionality and usability and was found to be more favorable over existing attendance monitoring systems.<strong>&nbsp;Novelty:</strong>&nbsp;The system provides a non-obtrusive way of checking teachers&rsquo; attendance by utilizing the UHF-RFID technology which has a longer read range than other RFID categories used in previous studies. Moreover, unlike existing solutions, the system checks for attendance multiple times, not only during entrance and exit which then calculates thetotal stay-in time of the teacher during a class session. Most importantly, the system can prevent fraudulent activities through a camera module. <strong>Keywords:</strong>&nbsp;UHFRFID; Attendance; Faculty; Raspberry Pi; Camera &nbsp;
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John Dominic Ani˜non, Kenneth Kent Flores, Cliff Sean Kyle Otadoy, et al. "Classroom Attendance Monitoring System Using Radio Frequency Identification with Web Application." Research Briefs on Information and Communication Technology Evolution 6 (December 15, 2020): 108–28. http://dx.doi.org/10.56801/rebicte.v6i.110.

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Throughout the years, attendance monitoring has widely evolved from manual methods to the integrationof technology. Manual attendance monitoring in an institution consumes time, hard tomaintain, prone to human error, and leads to misplaced or lost records. Individuals also tend to takeadvantage of the flaws of the manual method that leads them to commit hoax and forgery. Despitethe innovation of different automated systems, biometric recognition systems, RFID technology, andbarcodes also have disadvantages. To address the shortcomings of the existing methods and to minimizethe contingencies, this paper describes the use of a web application that utilizes an ultra-highfrequency (UHF) RFID with a motion sensor to monitor the attendance of students from the Universityof San Carlos. A Raspberry Pi 3 Model B is used in controlling the input and output, inwhich it is outputted on an LED. Wireless communication is used between the hardware system andthe web system to record and validate students’ attendance records. A web application is developedfor faculty, students, and chairperson to monitor class attendance and to minimize contingencies. Inaddition, the faculty can edit and generate a seating plan.
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Nithvika Reddy, N. S. Manogna, and Shaga Shivani. "Educational Resource Management System (ERMS)." International Journal of Science and Research Archive 8, no. 2 (2023): 026–29. http://dx.doi.org/10.30574/ijsra.2023.8.2.0336.

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The ERMS aims to curate a management system for universities that provides us with a web application that eases the academic activities for students and faculty. Learning is fun when accessing the resource is easy. A user-friendly UI. The project environment and usage are completely secure at both ends. This is a system for the collection, integration, processing, maintenance, and dissemination of data and information to support decision-making, policy analysis, and formulation, planning, monitoring, and management at all levels of an education system. There are 3 main Users namely · Faculty - Who upload class materials, update marks and attendance. · Students - Who use this for accessing study materials, checkmarks, attendance. Admin/Management - Who keeps up with the changes like marks and attendance.
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Shukla, DR Abhay Shukla. "Automatic Face Recognition Attendance System using Python and Open CV." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35032.

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The primary goal of this project is to develop a face recognition-based attendance monitoring system for educational institutions, aiming to improve and modernize the current attendance procedures, making them more efficient and effective. The existing system suffers from ambiguities that lead to inaccuracies and inefficiencies in attendance recording. Numerous issues arise when authorities cannot enforce the regulations of the old system. This project leverages face recognition technology to address these problems. During attendance sessions, the system will compare faces against a database to verify identities. Once an individual is identified, their attendance will be automatically recorded, with the necessary information in an Excel sheet. This automated system aids faculty in taking attendance for the entire class without causing any disruption or wasting time. We propose and have implemented a smart attendance system with the potential to incorporate Quick Response (QR) codes as a future method for managing attendance. This system aims to streamline and document student attendance during lectures and other activities across all relevant courses. At the end of the day, the Excel sheet containing attendance details for all individuals will be emailed to the respective faculty members.
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Derman, Derman, and Harmini Harmini. "MODEL SISTEM INFORMASI MONITORING PERKULIAHAN FAKULTAS TEKNIK UNIVERSITAS SEMARANG BERBASIS WEB." Elektrika 10, no. 2 (2018): 41. http://dx.doi.org/10.26623/elektrika.v10i2.1260.

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&lt;p&gt;The development of Information Technology is increasingly demanding that Higher Education to provide information quickly to meet the needs of Information and Monitoring Course for Lecturers, Students and Admin staff. This study aims to design a Model Information System and Monitoring Course at the Faculty of Engineering, University of Semarang Web-based. Coverage includes lecture planning, lecturing, evaluation of lecturing, control of lecturing and improvement of lecture planning. This research produces an application of Information System and Monitoring model of lecturing which aims to facilitate and accelerate the preparation of time, room and course schedule and ease in monitoring the attendance status of lecturers in class either to students or other parties in real time without having to come to campus check board information . The contribution of this research results will greatly affect the application of science and technology for higher education institutions and to realize the development of Faculty of Engineering Semarang University as a leading Faculty in 2023. The method used is dynamic priorities method which prioritizes the process that has the highest &lt;br /&gt;priority and is able to respond to changes in the system environment operate. Modeling the system using XAMPP package in which integrated MySQL module for database purposes, PHP for management of information systems, and Apache for simulation purposes. The results showed the implementation of the application of Information Systems Monitoring System Lectures Faculty of Engineering, University of Semarang goes well.&lt;/p&gt;
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Nirale, Rupesh. "College Automation System Using Java Methodology (Academix Portal)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30879.

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The College Automation System Project is designed to operate within the college's local area network and cater to all four departments. Its features encompass an admission system, class attendance monitoring, online notes and notice boards, and a placement system, all accessible to students using their valid registration ID and password. The project aims to support college administrators by providing comprehensive information about faculty members' schedules and allowing them to manage user accounts through the admin panel. Administrators can add or delete users, grant special permissions, and schedule classes as needed. Teachers benefit from the system by gaining access to student data tailored to their preferences. They can query information based on grades and percentages, identify students with attendance issues, and utilize other features available within the system. For students, the system offers access to various resources, including teachers' notes, placement session details, upcoming company information, and a dedicated learning section for exam preparation. Overall, the College Automation System Project serves as a centralized platform for streamlining administrative and academic processes, enhancing communication, and facilitating access to essential information within the college community. Key Words: Training and placement, Similarity, Student Data, grade, percentage
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Banu J, Faritha, Balakrishnan M, Praveen Raju P, and Naveen kumar M. "IoT Based Cloud Integrated Smart and Sustainable Classroom." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 1 (2020): 780–83. http://dx.doi.org/10.35940/ijrte.f1160.059120.

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Now a day, every educational environment requires an evolution of classrooms from traditional model to a more active model of classrooms. The main objective of a classroom model is to spend more time on teaching and learning and less on organizing and monitoring the workflow of the classroom. This project proposes “IoT based Cloud Integrated Smart and sustainable Classroom”. Smart classroom is developed to monitor and regularize the activities like assignments, projects, tutorial submission and attendance monitoring of the Students or scholar at ease in real time by the faculty, mentor or advisor. The proposed system monitors and reports whether the assignments, projects, tutorial is submitted on or before scheduled timeline, and sends the remainder notification to complete the assigned work in stipulated time. The proposed system utilizes Cloud Computing and Internet of Things, where sensors and processors are embedded in physical objects to form a network and communicate information with ease. RF identity card reader is fixed at each classroom to monitor the Students and give them alert, so that they meet the faculty or mentor for getting permission for attending the class if they failed to submit their work on time. Thus, by reducing the work of management, time for teaching and learning will be increased resulting in high performance of the classroom.
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Geeta, Ninawe, Joge Aishwarya, Katyarmal Chetan, Pandey Pratik, and Warambhe N. "Smart Class Attendance Monitoring System." Smart Class Attendance Monitoring System 2, no. 1 (2020): 1–4. https://doi.org/10.5281/zenodo.3760304.

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<em>In this paper, we present on idea of attendance monitoring system by using biometric sensor. In the concept of Smart Class every system should be managed smartly like by taking attendance electronically. For this stated reason, an efficient attendance management system using biometrics is designed. This framework gauges participation electronically with the assistance of a unique finger impression gadget and the records of the participation are put away in a database. Attendance only marked after student identification. For student identification, a biometric (fingerprint) based system is used. By using this concept, we can do prove paperless which also beneficial for our environment.</em>
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Book chapters on the topic "Faculty class attendance monitoring system"

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Salman, Hasan, Md Nasir Uddin, Samuel Acheampong, and He Xu. "Design and Implementation of IoT Based Class Attendance Monitoring System Using Computer Vision and Embedded Linux Platform." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15035-8_3.

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Ong, Pauline, Tze Wei Chong, and Woon Kiow Lee. "Development of Class Attendance System Using Face Recognition for Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia." In Advances in Computer and Electrical Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0182-5.ch001.

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The traditional approach of student attendance monitoring system in Universiti Tun Hussein Onn Malaysia is slow and disruptive. As a solution, biometric verification based on face recognition for student attendance monitoring was presented. The face recognition system consisted of five main stages. Firstly, face images under various conditions were acquired. Next, face detection was performed using the Viola Jones algorithm to detect the face in the original image. The original image was minimized and transformed into grayscale for faster computation. Histogram techniques of oriented gradients was applied to extract the features from the grayscale images, followed by the principal component analysis (PCA) in dimension reduction stage. Face recognition, the last stage of the entire system, using support vector machine (SVM) as classifier. The development of a graphical user interface for student attendance monitoring was also involved. The highest face recognition accuracy of 62% was achieved. The obtained results are less promising which warrants further analysis and improvement.
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Conference papers on the topic "Faculty class attendance monitoring system"

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Manisha, R., S. Bhavana, Y. Naveen Kumar, Y. Sravani, and Mahendra Vucha. "Face detection system for class room attendance monitoring." In PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0113354.

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Hasan, Mahadi, Dipto Saha, Jannatul Ferdosh, Fernaz Narin Nur, Nazmun Nessa Moon, and Mohd Saifuzzaman. "BSSID based Monitoring Class Attendance System Using WiFi." In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2019. http://dx.doi.org/10.1109/i-smac47947.2019.9032699.

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Balakrishna, K., B. R. Ganesh Prasad, N. D. Dhanyashree, V. Balaji, and N. M. Krishna. "IoT based Class Attendance Monitoring System using RFID and GSM." In 2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE, 2021. http://dx.doi.org/10.1109/icmnwc52512.2021.9688482.

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Chowdhury, Azm Ehtesham, Omar Khaium Chowdhury, Md Assaduzzaman Samrat, Md Zillur Rahman, and Tanvir Ahmed. "HFDCM: A low-cost machine learning based class attendance monitoring system." In 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2019. http://dx.doi.org/10.1109/icicict46008.2019.8993212.

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Bayani, Alyanna Divine D., Monica G. Fabra, Venise Moises C. Joseph, Cassandra Jane A. Pelayo, Marlon A. Diloy, and Edison M. Esberto. "WeConnect: Class Attendance Monitoring System with the use of Mobile Tethering." In ICIEI 2023: 2023 The 8th International Conference on Information and Education Innovations. ACM, 2023. http://dx.doi.org/10.1145/3594441.3594462.

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Valic nedeljkovic, Dubravka, Karlo Bala, and Zoltan Geler. "NEW LEARNING ENVIRONMENT MODEL FOR THEORETICAL LECTURES." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-125.

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According to many studies the generations of students who are digital natives have different requirements in regard of theoretical lectures in comparison with the generations of non digital natives. At universities in Serbia, theoretical instruction is still conducted in the traditional way, and the Bologna system is applied only selectively. Awarding student participation in theoretical lectures as a part of pre-exam assessment is formal and without clear criteria, which degrades theoretical lectures as they are reduced to the level of awarding attendance and not of awarding active participation in class. The goals of this pilot study are: a) to find answers to the question of how to make students who are digital natives active during theoretical lectures at the university, for the purpose of recognizing more clearly the quality of their participation in class; b) to include the information thus obtained into the decision-making process which provides a more just verdict on their final grade (learning performance of students) and to increase the use of information technology in delivering lectures at universities in the domain of humanities and social sciences. The research examined the effectiveness of arousing students' attention during theoretical lectures in Computer Literacy (Faculty of Philosophy, Novi Sad, Serbia) by using random testing of students' knowledge. Two groups of students were subject to two different approaches to teaching: the traditional approach and the computer-oriented one. The first group of the students attended their lectures in a traditional classroom where students were randomly tested by means of paper-based tests. The other group of students attended their lectures in a modified computer lab in which students were randomly tested by means of a special piece of software. At the end of the course students' attitudes about the traditional and the computer-oriented approach were collected by means of a questionnaire. The preliminary results seem to suggest that students on the whole are not particularly interested to actively participate in classes, but they are interested in collecting pre-exam points based on them attending theoretical lectures. The majority of surveyed students think that the proposed model of active attention excitation will contribute to better acquisition of learning materials and to better performance in exams. There are indications that students prefer a teaching model in which they can clearly perceive practical benefits for them. It can be concluded that the proposed computer-oriented approach of conducting theoretical lectures and using random testing is more in line with the requirements and needs of the student generations who are digital natives.
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