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IoT-based biometric attendance system using arduino and thingsboard

Author(s)
Jarudin Department of Information Engineering, Institut Teknologi dan Bisnis Bina Sarana Global, Indonesia
Prajka Ahmad Raihan Department of Mechanical Engineering, Universitas Negeri Jakarta, Indonesia
Rahmat Tullah Department of Information Engineering, Institut Teknologi dan Bisnis Bina Sarana Global, Indonesia
M. Ramaddan Julianti Department of Business Digital, Institut Teknologi dan Bisnis Bina Sarana Global, Indonesia
Syaipul Ramdhan Department of Business Digital, Institut Teknologi dan Bisnis Bina Sarana Global, Indonesia
M. Fitriansyah AK Department of Information Engineering, Institut Teknologi dan Bisnis Bina Sarana Global, Indonesia
Sarah Fazilla Postgraduate University of Medan, Indonesia, Indonesia
Abstract
The fingerprint sensor is a sensor that detects fingerprints using an optical system, where detection is done by reading the contours of the fingerprints and the static electricity of the body. However, data generated by fingerprint sensors, in general, can only be accessed if connected directly to the fingerprint module. From these conditions, operational managers or business managers can't monitor the absence of discipline of their employees because attendance data cannot be accessed directly. They must go through the download process from the machine's default software. The purpose of this research is to build a fingerprint recognition system in the context of an abscess machine on an IoT basis so that fingerprint data processing is centralized so that it can be easily accessed without having to connect directly with the fingerprint sensor module that is available by implementing the client-server method. The test results of this study indicate that collaboration between the fingerprint sensor module integrated with the Arduino Uno module and the ThingsBoard IoT platform can be done with a fingerprint reading accuracy of 96.25%, and data can be accessed in real time through the ThingsBoard server.
Publication Details
Page(s) 103-117
DOI DOI not available
Published Journal: International Journal of Communication Networks and Information Security, Volume: 15, Issue: 4, Year: 2023

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Keywords
IoT, fingerprint, Arduino Uno, Attendance, Biometric, ThingsBoard
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