Attendance Mobile Application With Face Recognition and Detect Location

Yanto, Andika Bayu Hasta; Fauzi, Ahmad; Indriyani, Novita

doi:10.36378/jtos.v5i1.2187

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…This method allows for accurate tracking of employee location and attendance. In addition, the use of webcams in the system also provides an additional layer of security to prevent fraud in attendance management [5].…”

Section: Introductionmentioning

confidence: 99%

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

Kurnia Aji,

Hidayat,

Julianti

et al. 2023

J. Electr. Eng. Comput. Sci.

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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.

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Section: Introductionmentioning

confidence: 99%

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

Kurnia Aji,

Hidayat,

Julianti

et al. 2023

J. Electr. Eng. Comput. Sci.

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“…individual's face from video recordings by comparing it with a facial database (Hasta Yanto et al, 2022). ID verification services often employ this technology to authenticate users(Budiman et al, 2023).…”

mentioning

confidence: 99%

Application Of the Eigenface Method in The Presence System Using Web-Based Face Recognition

Darmawan,

Kusnandar,

Fauka

et al. 2024

imeisj

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The swift progress of technology has yielded numerous advantages, particularly for organizations engaged in vocational education, such as E-learning Marketplace in Bandung (Luarsekolah). One of the advantages of technology in vocational education is the use of attendance system technology. Luarsekolah's attendance system employs a conventional fingerprint recognition method, which frequently encounters difficulties when employees attempt to clock in, as their fingerprints are occasionally not acknowledged. Hence, creating a system that facilitates and streamlines employee attendance without requiring physical interaction is imperative. To address this, a facial recognition system utilizing the eigenface approach, with a development methodology based on the waterfall method, is suggested. Using the Eigenface PCA (Principal Component Analysis) technique, this system can function in real time. The research findings demonstrate the efficacy of the eigenface approach in real-time applications. The eigenface approach incorporates multiple validations to ensure the system's accuracy when employees utilize it. The approach incorporates several validations, such as presenting a message when an employee's face is near the camera and indicating a message when the employee's face is not directed toward the camera. If the camera misses adequate lighting, the system will automatically modify the lighting conditions to enable the camera to capture the employee's facial features.

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Attendance Mobile Application With Face Recognition and Detect Location

Cited by 2 publications

References 12 publications

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

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

Application Of the Eigenface Method in The Presence System Using Web-Based Face Recognition

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