Manual Attendance System Research Articles

Aplikasi Absensi Berbasis Android Pada Sekolah Boarding Sebagai Transformasi Digital Bidang Pendidikan

Boarding schools require students and staff to reside on campus for a set period, necessitating high levels of security and comfort to optimize educational outcomes through effective human resource management. Managing staff and student attendance is crucial in these settings, exemplified by the manual attendance system at Insan Cendikia Magnet School in Bogor. However, manual systems often suffer from inefficiencies, inaccuracies leading to data errors, fraud, and real-time monitoring challenges. To address these issues, this study developed a digital attendance system using FlutterFlow, employing barcode scanning for both academic and non-academic staff. Implementation of this system improved digital attendance processes, with testing confirming its reliable performance. The system effectively met user needs and conditions, integrating attendance data with real-time reporting features. These accessible reports facilitate evaluation and decision-making regarding staff attendance.

SISTEM ABSENSI MENGGUNAKAN SCAN QR CODE BERBASIS ANDROID

Attendance is an important part of every educational institution. Where attendance is one of the main supports that can support and motivate every activity carried out. Like attendance at SMK Negeri 1 Sambelia which still uses the manual method (signature), this method is very vulnerable for an educational institution because of the level of discipline that cannot be controlled and can be misused by irresponsible people, other losses that may arise in manual attendance system is a data recapitulation that still takes a lot of time and effort. The purpose of this study is to design and build an android application that makes it easier for teachers to carry out the attendance process at school, the type of research used is qualitative and the results of this study are applications that utilize the Qr Code as the main component in helping the attendance process. The research method in this study is qualitative research where the data obtained are mostly descriptive of the observations that have been made, then the data will be analyzed qualitatively and described in descriptive form. Based on the test results, it can be concluded that this application still has many shortcomings that need to be developed again, it is very necessary for the role of IT students to help the development of digital technology in making attendance easier. Based on the application testing that has been carried out, the presentations of Strongly Agree 22.2%, Agree = 38.8%, Neutral = 25.9%, Disagree = 6.4%. Based on the presentation, the application made is quite good, although there are some shortcomings that must be improved.

RANCANG BANGUN APLIKASI ABSENSI GURU DAN STAF TU DENGAN PENERAPAN GEOLOCATION DAN FINGERPRINT BERBASIS ANDROID DI SMK GKE MANDOMAI

Attendance is one of the work assessments and as proof of attendance is very important. At this time, the attendance system used by SMK GKE Mandomai is still implementing a manual attendance system, which is every day to sign at every date of entry to work, and attendance is done 2 times, namely entry attendance and return attendance.
 This manual attendance system has the potential to cause some problems, such as attendance papers that are easily lost or scattered and the possibility of manipulating attendance data.
 As a solution, namely by designing an attendance application with the application of geolocation and fingerprint on android as security when doing absences, in order to prevent teachers and TU staff who are outside the school location to fill absences. The development method used in designing this system is the Waterfall model with its stages, namely Software Requirements Analysis, Design, Coding, and testing. System design using UML model, implement coding using JavaScript, React Native framework and React JS, backend using Firebase. the results of this system design, produce Android-based attendance system for teachers and staff TU attendance in school areas.

Intelligent Face Recognition Based Students’ Attendance System

This paper aims at developing an intelligent face recognition students’ attendance system to enhance school attendance tracking. The system is made up of four phases- database of students’ details, face detection, face recognition and attendance report. The database stores all the students’ details and images of the students’ face captured while face detection and recognition is carried out with convolutional neural network algorithms from the face recognition and opencv library. As faces are detected and recognized from live streaming video of the classroom, attendance are recorded into an excel file and then sent to a real time database. The system also contains a mobile interface through which the course instructors can access information at all time. The methodology adopted for this work is object-oriented analysis and design methodology (OOADM) while programming language used is Python. This work has helped immensely to eliminate the issue of proxy attendance as well as reduce the time wasted in manual attendance system. It is very beneficial to schools and other institutions where attendance is required.

Sistem Absensi Online Berbasis Website Studi Kasus: Program Studi Ilmu Komputer Universitas Pat Petulai

The Computer Science Study Program at Pat Petulai University is currently still adopting a conventional or manual attendance system, both in implementing and managing attendance data, so there is a need for a website that can manage attendance data and processes online. Based on these problems, this research aims to build a website-based online attendance system that can manage attendance data and processes online without having to do it manually or conventionally. By using qualitative descriptive research methods in this research, it is hoped that it can explain the results of the research that has been carried out. The use of information technology in this attendance was made with PHP, MySQL as a database and Laravel framework. System design using Unifed Modeling Language (UML) and waterfall tools as software development methods. The results of the software were tested in terms of functionality using black box testing. With the website that has been built, it is hoped that it can support the progress of the Pat Petulai University Computer Science Study Program in terms of managing student attendance data.

Face Recognition Based Attendance System Using Haar Cascade Algorithm with Histogram Equalization and Median Blur Filter

The attendance system is one of the mandatory activities in teaching and learning activities in an educational environment. Unfortunately, many still use a manual attendance system, which is inefficient, and fraud often occurs by manipulating attendance data. In this research, a face recognition-based attendance system was created. The face detection and recognition system use the haar cascade method with image preprocessing, namely histogram equalization and median blur filter. This system can provide output in the form of CSV documents containing attendance data that has been done in real time so that attendance data recording becomes more efficient than before. There is a significant difference in face recognition without and with image preprocessing. Without image preprocessing, the average face recognition accuracy rate is 71.2%. In face recognition with image preprocessing, the face recognition accuracy rate is 91.5%. Therefore, the use of image preprocessing can improve image quality and significantly increase the accuracy of face recognition. In addition, the CSV document is successfully generated automatically after the attendance process is carried out, which is equipped with user data, attendance date, and time when the user makes attendance to avoid fraud in the form of manipulation of attendance data by users.

Implementation of Convolutional Neural Network and Vincenty Formula on Face Attendance System Web-Based for Managing the Attendance

The level of student attendance at tertiary institutions has a crucial role in determining the quality of education. The Information Technology Department at Padang State Polytechnic realizes the urgent need to increase the efficiency of managing student attendance, which currently still relies on a manual attendance system. As an innovative solution, this research proposes designing a face-based attendance system that utilizes facial recognition technology to verify student attendance automatically. One of the challenges in developing a face-based attendance system is the accuracy of calculating the distance between the student's location and the institutional location. To overcome this problem, the research used the Vincenty Formula method which was proven to have a high level of accuracy in calculating the distance between two points on the earth. The integration of this method is expected to increase the accuracy of calculating the distance between the student's location and the institution. Apart from that, this attendance system adopts the Convolutional Neural Network (CNN) algorithm, an algorithm specifically designed to process two-dimensional data. CNN is used to learn and detect features in images so that facial recognition can be done with a high level of accuracy. This approach is expected to improve system performance in recognizing and verifying student attendance.

THE EFFECTS OF REIMPLEMENTING A BIOMETRIC ATTENDANCE MONITORING SYSTEM IN THE ELECTRONICS ENGINEERING DEPARTMENT AT DON HONORIO VENTURA STATE UNIVERSITY

Monitoring the attendance of staff and employees holds paramount importance in organizational settings. This can be accomplished either manually, using logbooks and daily time records, or automatically through advanced technologies such as radio frequency identification, biometrics, and bar code scanners. Biometrics attendance monitoring systems, in particular, offer a range of benefits, including heightened security, accuracy, convenience, scalability, time efficiency, compliance, and accountability. This research paper elucidates the advantages of the biometric system, examining its impact on the employees of the Electronics Engineering Department at Don Honorio Ventura State University during the 1st Semester of the Academic Year 2023-2024. The Biometrics Attendance System proves to be exceptionally effective and efficient, gaining a consensus of 92% among participants regarding its positive impacts. Ratings consistently hover at 4 or 5 for efficiency, underscoring the streamlined processes. Accessibility earns a positive average score of 80%, and privacy measures receive an equally commendable average score of 82%. While the system generally contributes positively to managing absenteeism, an outlier score of 1 from a participant prompts further investigation. In conclusion, the Biometrics Attendance System excels in effectiveness, efficiency, and user satisfaction, positioning itself as a secure, accurate, and convenient solution. This becomes especially relevant as the Electronics Engineering Department integrates the biometric system, reaping benefits in terms of security, accuracy, and time efficiency. However, it's noteworthy that the implementation of the biometrics attendance system correlates with an increase in faculty absenteeism. Addressing specific concerns identified in the Manual Attendance System could guide targeted improvements for a more comprehensive and satisfactory attendance monitoring system overall.

SISTEM INFORMASI PENGOLAHAN DATA ABSENSI PEGAWAI KANTOR BALAI KB KECAMATAN PANYINGKIRAN BERBASIS WEB DAN ANDROID

Employee absenteeism is a very important factor in a company or agency. The punctuality and integrity of employees who are assessed will help the development of the institution/institution. An attendance system that has up-to-date software is very important, because it has positive benefits for the institution or agency, especially interms of effectiveness, efficiency and speed. Along with that attendance is also not only done manually, but can help by using information technology. Attendance carried out at the Office of the KB Sub-District of Pengingkiran is still done manually, namely employees fill in attendance with signatures as well as the time of arrival and departure time. So, there are still a lot of problems when using the manual attendance system, such as not entering without information, coming and going home from the office not according to regulations, leaving the office during working hours and not knowing the leadership and there are still many problems caused. So that the KB Office of the Pengingkiran District requires an attendance application. With the application of the Employee Attendance Data Processing Information System, the Panyingkiran District Family Planning Office was able to overcome the occurrence of absenteeism violations in employees.

Automated Facial Recognition based Attendance System using OpenCV in Python

Face detection and recognition systems work by detecting faces present in an image or in a video frame and identifying the person in the image. In this work, we are interested in face detection to achieve an automatic attendance system. This work is implemented using Python and can be operated from any standalone device. This automated system stores the attendance records of students/employees with proper timestamps in the local Secondary Memory. All these records are stored date-wise. The implementation of an Automated Facial Recognition based Attendance System can help in identifying and verifying a person’s identity from a digital source in real-time. Accurate attendance records are very important for classroom evaluation in schools and colleges. It also helps to keep track of the attendance of the employees in different organizations. The traditional system of manual attendance tracking in institutes can result in errors and missed or duplicated entries. The adoption of the Face Recognition-based attendance system could help eliminate these problems and shortcomings of the classical manual attendance system. The proposed work is tested with different persons with different age groups and genders in real time. The system successfully identifies the proper persons with significant accuracy and records their attendance.

Face Recognition Attendance Monitoring System

Abstract: As we know attendance is the crucial part in colleges, schools, corporate offices etc. Attendance plays an important role for keeping track of student’s record. Mostly attendance is taken manually in most of the colleges and schools. The manual attendance process involves taking attendance by calling the name or by signing the attendance sheet. This manual process is very time consuming and it is difficult to maintain the attendance record. Due to this drawback of manual attendance system, there is a need of automated attendance system. Here facial recognition plays an important part for automated attendance system. This suggested study focuses on face detection algorithm to provide automated attendance system. This proposed system uses Histogram of Oriented Gradients (HOG) and Deep Convolutional Neural Network for face detection and face recognition respectively to build automated attendance system.

APLIKASI MOBILE MONITORING KEHADIRAN SISWA MENGGUNAKAN TEKNOLOGI QUICK RESPONSE

Attendance is an important part of every educational institution. Where attendance is one of the main supports that can support and motivate every activity carried out in it. Schools are educational institutions designed for student instruction under the supervision of teachers. Most countries have a formal education system, which is generally mandatory, as well as attendance at SMK Negeri 5 Gorontalo which still uses a manual method (signature), this method is very vulnerable for an educational institution because the level of discipline that cannot be controlled and can be misused by irresponsible people, another disadvantage that may arise in the manual attendance system is data recapitulation which still takes a lot of time and effort. Another disadvantage, parents of students cannot find out about their son's attendance at school so it is considered less effective and efficient. For this reason, the purpose of this research is to create and design an information system for monitoring student attendance using an android-based QR Code at SMK 5 Gorontalo so that it can make it easier for parents to monitor attendance. This application is designed using java programming language software, namely Android Studio, for PHP programming language using Dreamwever software, and for data storage using Mysql, as well as a tool for modeling using UML (Unified Modeling Language).

RANCANG BANGUN SISTEM INFORMASI ABSENSI KARYAWAN BERBASIS WEB (STUDI KASUS: PPKS MARIHAT DALU-DALU)

The implementation of employee attendance at the Marihat Dalu-Dalu Oil Palm Research Center (PPKS) still uses a manual attendance system for each employee. This can cause problems in the future If the data is lost or If some employees will misuse the data. Therefore, to ensure that employee attendance is used effectively and efficiently within the company, it is necessary to have a web-based employee attendance system that can be managed and not abused consciously by some employees when designing an employee attendance system. with the creation of this employee attendance system design, the development examples used for this information system are waterfall software development and use UML (Unified Modeling Language) diagrams, namely use case diagrams, activity diagrams, deployment diagrams, component diagrams. to form the design of this employee attendance system makes it easier for companies to manage employee attendance systems so that they can be organized and effective and efficient so that employee attendance data is not misused and damaged or lost.

Real Time Web-Based Smart Attendance System using AI

The performance of automatic face recognition (AFR) technology has improved in recent years. As a result, these systems are frequently employed for security and business purposes. a face recognition programme that runs automatically in the background while a university tracks employee attendance. Hence, Smart Attendance with Real Time Face Recognition might be a global solution for managing personnel on a daily basis. The work is incredibly challenging since the critical temporal background subtraction during an image remains a challenge. Real-time face detection is done using easy, quick Principal Component Analysis, which has a high rate of success in identifying the faces found. As a result, we have developed a module in which an employee's attendance will be recorded automatically by recognising their face using face recognition technology. Their face will be saved in the database after this one-time enrollment process. Since enrolling a face is a one-time activity, we need a mechanism. Every employee will have a unique employee ID that is their own roll number. Every employee's presence will be updated within a database. Results of the proposed system demonstrated that it performs better than the manual attendance system. The marking of attendance follows employee identification. This application provides the customer with considerably more solutions and accurate leads than the conventional attendance and leave.

Attendance Monitoring System Design Based on Face Segmentation and Recognition

Aim: The proposed work aim was to monitor real-time attendance using face recognition in every institutional sector. It is one of the key concerns in every organization. Background: Nowadays, most organizations spend a lot of time marking attendance for a large number of individuals manually. Many technologies like Radio Frequency Identification (RFID) and biometric systems are introduced to overcome the manual attendance system. when using these RFID and biometric people need to stand in queue to make their presence. Objective: The main objective of the system is to provide an automated attendance system with the help of face recognition owing to the difficulty in the manual as well as other traditional attendance systems. Methods: The proposed work was done through face recognition using Machine Learning. Face recognition is a part of biometric characteristic of a human. It was easy to process than other biometric measurements like fingerprint, iris scan, hand scan, retina scan. The Haarcascade classifier will detect a face, and the LBPH algorithm will recognize the face. The experiment performs on the creation of real-time face data. Results: Using the web camera connected to the computer, face detection and recognition are performed, and recognized faces mark as attended. Here, the admin module and teacher modules are implemented with different functionalities to monitor attendance. Conclusion: Experiment results get 94.5% accuracy in face detection and 98.5% accuracy in face recognition by using the Haarcascade classifier and LBPH algorithm. This application system will be simple to implement, accurate, and efficient in monitoring attendance in real-time.

Modern Attendance System - A New Way For Taking Attendance by Face Recognition

In this digital era, face recognition system plays a vital role in almost every sector. Face recognition is one of the mostly used biometrics. It can used for security, authentication, identification, and has got many more advan- tages. Despite of having low accuracy when compared to iris recognition and fingerprint recognition, it is being widely used due to its contactless and non-invasive process. Furthermore, face recognition system can also be used for attendance marking in schools, colleges, offices, etc. This system aims to build a class attendance system which uses the concept of face recognition as existing manual attendance system is time consuming and problematic to maintain. And there may be chances of proxy attendance. Thus, the need for this system increases. Faces are detected and recognized from a camera placed inside the classroom.

Face Recognition based Attendance Management System

Abstract: Biometrics are unique, measurable characteristics of an individual that can be used to automatically recognize an individual or to verify an individual's identity. Biometrics can measure both physiological and behavioural characteristics. Physiological biometrics (based on measurements of parts of the human body and data obtained from direct measurements) include finger scans, face recognition, iris scans, retina scans, and hand scans. Everything happens online as technology advances around the world. Facial recognition systems are used to identify people in photos, videos, in real time, etc. It is a category of biometric security. It provides an environment with privacy and authentication that helps organizations keep their data safe. It can be used for security, authentication, identification, accuracy and many other benefits. It can also be used because it is a non-contact, non-invasive procedure. In addition, facial recognition systems can also be used for attendance assessment in schools, colleges, offices, etc. Since the conventional manual attendance system takes time and effort to maintain, it can be used as a class attendance system that uses the concept of face recognition or for attendance scoring within the company, minimizing the burden on administrators. I can. Attendance is on your own and no substitutes are allowed. Therefore, the need for this system is increasing. The system consists of four phases: recording, training, facial recognition, and attendance update. A record is created when a new user uses the software to enroll their face and is assigned an ID. During training, the dataset created is used as input to a training model that uses a k-NN classifier to classify the images present in the datase

Online Attendance System Website-Based at The Village Hall Office Paya Bakung Using The Waterfall Method

Attendance is a system for recording employee attendance which is carried out in every agency, including government agencies. The Paya Bakung Village Hall Office still applies a manual attendance system so that the recording of employee attendance activities is still relatively minimal. Performing the attendance process manually takes a long time to record incoming hours, outgoing hours, or recap employee attendance reports. From these problems, the author designs and builds a computerized attendance system that can record all attendance activities of employees. Each employee has their own account that can be accessed through the employee's device. Employees can do absent entry and absence every day. The admin records all absent data entered by employees. The web-based attendance system in this study was created using the waterfall method consisting of Requirement Analysis, System and Software Design, Implementation and Unit Testing, Operation and Maintenance. This attendance system provides great benefits for the Paya Bakung Village Hall Office

Online Presence System Design Based On Data Granted Validity

The presence of employees in an agency is very important for recording attendance accurately and avoiding fraud in the manual attendance process. Therefore, designing an online presence system is the right solution to overcome this problem. A good online presence system must have high accuracy and be integrated with an efficient data management system. One way to improve the accuracy of the online attendance system is to use the data validation method provided. The manual attendance system used by the company suffers from inaccuracies and fraud. Therefore, this study aims to overcome this problem by designing and implementing an online presence system based on the validity of the data provided. Information system development methods are used to design online presence systems that use blockchain technology to ensure data validity and reduce the risk of fraud. In conclusion, an online attendance system based on the validity of the data provided can be an effective and efficient alternative solution for institutions that still use manual attendance systems.

Design Web-Based Attention System Using RFID

Absence is an activity of reporting and recording attendance in an institution, based on how it is used, the manual attendance system carried out in tertiary institutions requires students to fill out an attendance form with a signature during lectures. These deficiencies can be overcome by utilizing technology combined with the RFID system. An attendance system using web-based RFID is a system that utilizes RFID (Radio Frequency Identification) technology to record individual attendance. This system is designed by utilizing hardware in the form of RFID readers and tags, as well as software and network infrastructure. The software used in this attendance system will receive attendance data from the RFID reader and store it in a database. The attendance data can be accessed through a web interface that can be accessed by administrators or authorized users. This web interface will display individual attendance information, such as date, check-in time, and check-out time. In addition, the system can also provide periodic attendance reports or upon request. This web-based RFID attendance system provides convenience in recording individual attendance. Users no longer need to use manual methods such as attendance cards or attendance lists. By using RFID tags, the process of recording attendance can be done automatically and efficiently.