Attendance Data Research Articles

RFID Based Employee Attendance System Design on CV. Sachio Express Sejahtera

CV. Sachio Express Sejahtera is a registered expedition company located in Surakarta. Attendance is the most crucial aspect for the company as it affects an employee's salary based on attendance data. Therefore, the presence of a real-time attendance system stored in a database is highly needed. The design of the employee attendance system utilizes the Rapid Application Development (RAD) method, which includes requirements planning, system design, development processes, and implementation. This method is employed to meet user needs and achieve desired outcomes.The result of the design for the employee attendance system is the utilization of RFID (Radio Frequency Identification) cards as a tool for attendance record. It is expected that this system will assist employees in recording their attendance and reduce any potential data manipulation or inaccuracies

Pengaruh Bimbingan Kelompok Teknik Problem Solving Terhadap Kedisiplinan Belajar Siswa Kelas XI MIPA Di SMA Islam Sultan Agung 1 Semarang

The research was motivated by several problems, namely: (1) students violated time discipline, namely: late coming to school, truant and late submitting assignments; and (2) students commit disciplinary violations, namely: not participating in ceremonies, wearing incomplete attributes, sleeping in class, quarreling at school, playing cellphones during class, falsifying picket attendance data, and violating the use of attributes. The purpose of the study was to determine the influence of group guidance on problem solving techniques on student learning discipline. This research uses a quantitative approach with a quasi-experimental design with a nonequivalent control group design model. The research population of all class XI MIPA students at Sultan Agung Islamic High School 1 Semarang amounted to 72 students. The research sample was 35 students of grade XI MIPA 2 at Sultan Agung 1 Islamic High School Semarang. The sampling technique uses cluster random sampling. Psychological scale data collection techniques. Data analysis techniques use descriptive statistics. Test the hypothesis of simple linear regression. The results of the study showed the influence of group guidance with problem solving techniques on student learning discipline. The influence provided by group guidance services with problem solving techniques on the learning discipline of grade XI MIPA students at Sultan Agung Islamic High School 1 Semarang obtained an R-Square value of 0.38, group guidance services with problem solving techniques had an influence of 38%. There is an influence of group guidance with problem solving techniques on the learning discipline of grade XI MIPA students at Sultan Agung Islamic High School 1 Semarang.

Use of the Extension for Community Health Outcomes (ECHO) model for public health emergency response in Alaska

ABSTRACT Project ECHO (Extension for Community Healthcare Outcomes) is a telehealth and virtual mentoring model. It is a scalable platform to create peer communities where professionals can gain knowledge, skills, and relevant information to their work and clinical practice. Key informant interviews of Alaska public health leaders, clinical providers, ECHO staff, and local government representatives were conducted to evaluate the effectiveness and utility of the Project ECHO for COVID-19 response. Project ECHO session attendance and evaluation data were also reviewed. A combined total of 41,255 attendees participated in a COVID-19 response ECHO July 1, 2019 – June 30, 2022. Eight key informant interviews were conducted with individuals involved in leading or coordinating COVID-19 response efforts. Key informants identified four themes impacting the effectiveness of the Project ECHO model in responding to the COVID-19 pandemic: (1) Engagement, (2) Amplification, (3) Adaptability, and (4) Trust. In a rapidly changing pandemic, the ECHO model provided adaptive and effective virtual spaces where Alaskan providers, communities, elected officials, educators, and other stakeholders were able to receive tailored and up-to-date information on mitigation, treatment, and other concerns exacerbated by COVID-19.

Embedding Caregiver Support Within Adult Day Services: Outcomes of a Multisite Trial.

Adult day services (ADS) provide quality-of-life benefits to people with dementia, but few provide systematic caregiver support. We report outcomes of a multisite, national trial testing a staff-delivered caregiver program, ADS Plus. Cluster-randomized trial involving 34 ADS: 18 sites provided ADS (controls) and 16 provided ADS and ADS Plus (intervention). Trained staff met with caregivers to provide dementia education, support/validation, referrals/linkages, and strategies for care challenges and self-care over 12 months. Main outcomes included depressive symptoms (Center for Epidemiological Studies Depression Scale [CES-D]) and well-being at 6 and 12 months, and client attendance over 12 months. Of 203 caregivers (Intervention = 102; Control = 101), 5.9% at 3 months, 12.8% at 6 months, and 22.7% at 12 months were lost to follow-up. Caregivers were predominantly female (80.3%), with 76.4% identifying as White/Caucasian, 14.8% Black/African American, and 12.3% Hispanic/Latino. Most (88.2%) had ≥college education and were 65.0 years old (SD = 13.46). For those with 6-month data, 40.4% control and 40.2% ADS Plus caregivers had depressed symptoms (≥16 CES-D) at baseline. By 6 months, 43.6% control versus 34.2% ADS Plus caregivers had ≥16 scores (odds ratio = 0.38, p = .072). By 12 months, after covariate adjustments, ADS Plus caregivers reported reduced total depression scores versus controls (p = .013) and lower depressed affect scores (p = .015). Of 18 sites providing 12-month client attendance data, 9 intervention sites reported 126.05 days attended versus 78.49 days for 9 control sites (p = .079). Compared with ADS alone, by 12 months, ADS Plus improved caregiver mood and increased ADS utilization by 60.6%. Results support ADS staff delivering evidence-based caregiver support to enhance ADS benefits. NCT02927821.

The Effect of Suspensions on Student Attendance in a High-Absenteeism Urban District

I examine the effect of out-of-school suspensions (OSS) on attendance in a large midwestern urban district with high rates of chronic absenteeism. I do so from an ecological perspective and using daily attendance and discipline data. Out-of-school suspension has a modest and persistent negative effect on subsequent attendance, particularly for students who were not chronically absent and in schools with harsher discipline climates. I find not only that reducing OSS rates can improve attendance but also that addressing in-school factors such as OSS alone will not be sufficient for substantially reducing high-absenteeism rates in the context of broader social and economic inequalities.

Human resource attendance mechanism based on the internet of things: A method based on data fusion

AbstractThe development of Internet of Things technology makes people need to deal with an increasing amount of data, which brings the poor data quality, fast data generation speed and other problems. These problems have become one of the main obstacles restricting the development of human resource attendance. At present, data fusion methods as important methods in data fusion technology. This article fully utilizes human resource attendance data and proposes the LSTM‐Attention data fusion method. This method uses LSTM to model the data, extract potential features of the data, and filter out meaningful data in the human resource attendance mechanism through the Attention mechanism to achieve data fusion. Finally, experimental results in this article showed that the LSTM‐Attention data fusion method designed in this article has higher prediction accuracy. It fully mines the correlation between data, and further improves the accuracy of analysis and prediction in the human resource attendance mechanism based on the Internet of Things.

Development of Employee Online Attendance System using Webcams and Web-Based Location (Case Study of CV. OTW Computer Gusaha)

Attendance is an activity of data collection to determine the number of presences in an activity in an institution or company. In the previous era, attendance at CV. OTW Computer Gusaha was still done manually through paper, which was very ineffective and inefficient, resulting in attendance data not being well stored. From this problem, a reliable and efficient online attendance applica-tion is needed for users. The purpose of this application is to improve the efficiency of the attendance process, facilitate monitoring and evaluation, and minimize the risk of fraud in the attendance process. The method used is the geolocation method. The results of this research show that an online attendance system using webcam and web-based location can improve the efficiency of CV. OTW Computer Gusaha and increase the discipline and responsibility of employees.

Attendance Management System Based on RFID and Fingerprint Reader

The attendance operation system using RFID and biometric detectors is a technology- grounded result for recording and managing attendance in associations. This system uses RFID markers and biometric detectors to identify and authenticate individualities, icing accurate and secure attendance shadowing. The system is designed to streamline the attendance process, exclude homemade crimes, and give real- time attendance data to directors. The system has proven to be an effective and effective result for managing attendance in colorful diligence, including education, healthcare, and manufacturing. The use of RFID and biometric detectors has revolutionized attendance operation and made it more dependable, accessible, and secure. These include the time unnecessarily consumed by the scholars to find and subscribe their name on the attendance distance, impersonation, and loss of attendance distance. Therefore, there's a need for a system that would exclude all of these problems.

Attendance System Implementation Existing Android Platform Using React Native Framework

In a school that has hundreds of students, the attendance system or attendance recording is a problem in terms of practicality and data capture. Especially during a pandemic like this, learning is carried out online or in a network, commonly called distance learning (PJJ). Currently, various applications of technological advances have been created and begun to replace conventional systems. One of them is an Android-based attendance application system. The purpose of this study is to analyze and design an application that can help manage attendance data more easily and accurately. System modeling uses Unified Modelling Language (UML) to describe visually, then implemented with PHP and JavaScript programming languages, React Native Framework, and MySQL database as a database. With the mobile-based attendance system, it can make it easier for teachers to conduct attendance effectively and efficiently.

Sistem Informasi Presensi Karyawan Berbasis Web dan SMS Gateway di SMK Dr. Indra Adnan Indragiri College

In the employee percentage management information system running at SMK Dr. Indra Adnan Indragiri Collage Tembilahan still uses a simple method or in writing, where employees fill in attendance data when they enter working hours. In every attendance activity, there is often fraud by employees who leave their signatures or fill out attendance lists according to their arrival so that the finance department cannot control the delays of employees who come beyond the time set by SMK Dr. Indra Adnan Indragiri Collage Tembilahan, or go home earlier than the specified time. In designing an employee attendance management information system, the author uses a modeling tool, namely UML where the diagrams used are Usecase diagrams, Activity diagrams and class diagrams. The results of this study are in the form of designing a Web-Based Employee Attendance Management Information System prototype and SMS Gateway that can assist in overcoming the problems that occur in Dr. Vocational High School. Indra Adnan Indragiri Collage Tembilahan.

Automatic Attendance System Using Face Recognition

The project aims to develop an automated attendance system using face recognition technology. The system eliminates manual methods and provides contactless attendance tracking. It utilizes a Raspberry Pi board, camera module, and advanced image processing techniques to detect and recognize faces in real-time. Attendance data is stored in a database which is excel sheet and can be accessed remotely. The system improves efficiency, reduces errors, and promotes hygiene and safety in various environments.

Analisis Sistem Informasi Akademik Menggunakan Metode FAST Pada SDIT Al-Qudwah Pangkalpinang

The Academic System is the management of academic data in an educational institution including at SDIT Al-Qudwah Pangkalpinang, which consists of managing student data, schedule data, attendance data, and grades data. However, management is currently still carried out manually without using technology. The downside is that the manual method is vulnerable to human error, the amount of time and effort needed to record and calculate so that data collection becomes less efficient and accurate, and it is prone to losing data values ​​that have been recorded. Therefore it is necessary to build a web-based information system that can manage academic data in a modern way so that time efficiency and data accuracy can be increased. To design, analyze and develop the system, the writers use the FAST method and UML tools. Using this web based academic information system can overcome the weaknesses faced by SDIT Al-Qudwah Pangkalpinang

Efektivitas Presensi Online Dalam Meningkatkan Kinerja ASN Di Kecamatan Banjar Kota Banjar

The Effectiveness of Online Presence in Improving ASN Performance in Banjar District, Banjar City. Susi Mardila. Under the guidance of Dr. H. Enas, SE., M.M as supervisor I and Dr. Hj. Aini Kusniawati, MM as supervisor II. This research is motivated by the results of observations which prove that the implementation of online attendance in the Banjar District has an impact on improving the performance of ASN employees in the Banjar sub-district. For this reason, this study aims to determine the effectiveness of online attendance in improving ASN performance in Banjar District, Banjar City. The method used in this research is a qualitative research method. The results of the study concluded that the implementation of online presence has a positive impact on improving employee performance both in quality, quantity and time utilization. Because with online presence employees are more disciplined and better able to take advantage of working time because they cannot improve their workplace before working hours end. Through online attendance, employees cannot manipulate any data, especially attendance data, because it has been set in such a way as to optimize working time. Obstacles encountered in improving the performance of ASN in Banjar District, Banjar City, are problems with funds or budget, human resources and understanding of the main tasks and functions of the employees themselves. is by increasing the budget, increasing the competency of ASN both through related agencies and through individual wishes

Presensi Karyawan Berbasis Web dengan Fitur Lokasi Leaflet JS menggunakan Laravel

Technological developments are increasingly sophisticated and along with the times, are able to summarize and simplify human work. Especially in managing attendance manually by recording on an attendance sheet, it will take a long time and entering attendance data one by one. It is possible that an error occurred in the data input process. So, humans take advantage of technology by developing attendance applications that can detect employee presence online that can be connected to the website. With this, the author creates a system for implementing web presence applications, with the Map Leaflet JS Location features by using Laravel which can help calculate employee absences in real time and is able to detect employee locations accurately. This Web Application System, The Extreme Programming design method uses the PHP programming language, MySQL database and Laravel Framework. This Web Application System can be equipped with employee data pricessing features, employee leave permission data to. In order to be able to provide employee absence information and print reports related to employee attendance information.

Design of Presence System as a Form of Monitoring Lecturer Attendance Data at UPT Labor PPNP

<p>Presence system is an important thing in a government institution. With this system, a lecturer or employee will be bound by the rules and responsibilities that must be carried out. Lecturer attendance activities that carry out laboratory practicum activities at UPT labor Payakumbuh State Agricultural Polytechnic or PPNP have been available, but it is done on paper or paper based. During the lecturer's attendance recap procedure, the manager or head of UPT Labor considers this circumstance to be challenging and problematic. Furthermore, non-computerized attendance lists slow down reporting to the academic division, causing reporting to become fragmented, less effective, and less efficient. This research used R&D or Research and Development to solve the problem. While the development stage used the waterfall model with stages including: communication, planning, modeling, construction and deployment. As a result of this research, the lecturer presence system at UPT Labor has been tested using three types of testing: valid, practical, and effective tests. The validity test obtains an average value of 0.88, which is classified as valid, the product practicality test receives an average value of 0.90, which is classified as very practical criteria, and the effectiveness test obtains an average value of 0.94, which is classified as high effectiveness criteria. The lecturer presence system used in this study provides synergy with accurate attendance data, automatic attendance recap for reporting reasons, and minimizes errors during the recap process. Furthermore, reporting may be completed quickly, effectively, and efficiently.</p>

Development of Employee Online Attendance System using Webcams and Web-Based Location (Case Study of CV. OTW Computer Gusaha)

Attendance is an activity of data collection to determine the number of people present at an activity in an institution or company. In the previous era, attendance at CV. OTW Computer Gusaha was still done manually through paper, which was very ineffective and inefficient, resulting in attendance data not being well stored. To solve this problem, a reliable and efficient online attendance application is needed for users. The purpose of this application is to improve the efficiency of the attendance process, facilitate monitoring and evaluation, and minimize the risk of fraud in the attendance process. The method used is the geolocation method. The results of this research show that an online attendance system using a webcam and a web-based location can improve the efficiency of CV. OTW Computer Gusaha and increase the discipline and responsibility of employees.

Attendance System Based on Face Recognition

Face recognition is one of the most important applications of image processing in the technical world. The process of identifying students using a face biostatistics system based on high-definition monitoring and other computer technologies is called a face recognition attendance system. A machine learning algorithm (Convolutional Neural Network) has been proposed to utilize the system in this paper. The identification of the human face is a current problem for verification purposes, particularly in the context of student attendance. The methods used today to take attendance are cumbersome and time-consuming. Manual recording makes it simple to alter attendance data. Both the current biometric methods and the conventional method of keeping attendance are susceptible to proxies. The development of this system aims to digitally replace the outdated method of taking attendance by calling names and keeping handwritten records. The proposed system for this research will help the students get enough time to focus on their studies, which can make them good contributors to our society.

Attendance System Based on Face Recognition

Face recognition is one of the most important applications of image processing in the technical world. The process of identifying students using a face biostatistics system based on high-definition monitoring and other computer technologies is called a face recognition attendance system. A machine learning algorithm (Convolutional Neural Network) has been proposed to utilize the system in this paper. The identification of the human face is a current problem for verification purposes, particularly in the context of student attendance. The methods used today to take attendance are cumbersome and time-consuming. Manual recording makes it simple to alter attendance data. Both the current biometric methods and the conventional method of keeping attendance are susceptible to proxies. The development of this system aims to digitally replace the outdated method of taking attendance by calling names and keeping handwritten records. The proposed system for this research will help the students get enough time to focus on their studies, which can make them good contributors to our society.

SISTEM INFORMASI KEHADIRAN SISWA MENGGUNAKAN QR KODE BERBASIS ANDROID Studi Kasus SD Negeri 105270

This research develops a QR code-based student attendance information system at SD Negeri 105270. This system uses an Android application with a QR code for student attendance, aiming to increase the efficiency and accuracy of recording student attendance and improve the quality of education services. The research method includes application development using Android Studio and QR code integration. The teacher displays the QR code on their cell phone, and students scan the code using the attendance app on their cell phones. The results showed that this system speeds up the attendance process, reduces recording errors, and improves the security of student attendance data. This research provides a reference for other schools to implement a similar system with a QR code. It is hoped that this system can increase the efficiency and accuracy of student attendance as well as the quality of education services in schools.

IoT Adoption Model for E-Learning in Higher Education Institutes: A Case Study in Saudi Arabia

The realm of the Internet of Things (IoT), while continually transforming as a novel paradigm in the nexus of technology and education, still contends with numerous obstacles that hinder its incorporation into higher education institutions’ (HEIs) e-learning platforms. Despite substantial strides in IoT utilization from industrialized nations—the United States, the United Kingdom, Japan, and China serving as prime exemplars—the scope of its implementation in developing countries, notably Saudi Arabia, Malaysia, Pakistan, and Bangladesh, lags behind. A significant gap exists in research centered on the trajectory of IoT integration within e-learning systems of economically disadvantaged nations. Specifically, this study centers on Saudi Arabia to illuminate the main factors catalyzing or encumbering IoT uptake within its HEIs’ e-learning sector. As a preliminary step, this research has embarked on an exhaustive dissection of prior studies to unearth critical variables implicated in the IoT adoption process. Subsequently, we employed an inferential methodology, amassing data from 384 respondents in Saudi Arabian HEIs. Our examination divulges that usability, accessibility, technical support, and individual proficiencies considerably contribute to the rate of IoT incorporation. Furthermore, our data infer that financial obstacles, self-efficacy, interactive capability, online surveillance, automated attendance tracking, training programs, network and data safeguarding measures, and relevant tools significantly influence IoT adoption. Contrarily, factors such as accessibility, internet quality, infrastructure preparedness, usability, privacy concerns, and faculty support appeared to have a negligible impact on the adoption rates within HEIs. This research culminates in offering concrete recommendations to bolster IoT integration within Saudi Arabian HEIs, presenting valuable insights for government entities, policy architects, and HEIs to address the hurdles associated with IoT implementation in the higher education sector.