Real-time Communication Measurement on Web Services in the Fingerprint Machine

The problem of fingerprint-based attendance management has been overcome in previous studies. Web Service Implementation (WS) has successfully handled fingerprint machine communication with a web-based monitoring system with a different platform. However, it is not yet known the size of the data transfer rate between the fingerprint machine and the monitoring system. The primary purpose of this research is to test and measure data transfer speed and memory usage. Experiments in this study were carried out by connecting five fingerprint machines with a web-based monitoring system. Node.js is installed on the server-side that is connected to the web service and database. The experiment is repeated; the data transfer speed and memory usage are recorded in the table and averages are calculated. The experimental results in the study showed that after 50 trials it was known that the average time of data transfer was 14.53 ms and the average memory usage was 17.42 Mb. So that communication between fingerprint machines and web-based monitoring systems can be categorized as real-time communication.

[1]  Ravinder Kumar,et al.  Biometric Fingerprint Attendance System: An Internet of Things Application , 2019 .

[2]  Alam Rahmatulloh,et al.  Real-time Screen Sharing Using Web Socket for Presenting Without Projector , 2019, 2019 7th International Conference on Information and Communication Technology (ICoICT).

[3]  Yulianti Yulianti,et al.  PENGARUH ABSENSI FINGERPRINT TERHADAP DISIPLIN KERJA KARYAWAN PADA PT. SANBIO LABORATORIES GUNUNG PUTRI KABUPATEN BOGOR , 2018 .

[4]  M. B. Srinidhi,et al.  A web enabled secured system for attendance monitoring and real time location tracking using Biometric and Radio Frequency Identification (RFID) technology , 2015, 2015 International Conference on Computer Communication and Informatics (ICCCI).

[5]  Alam Rahmatulloh,et al.  IMPLEMENTASI KOMUNIKASI FULL DUPLEX MENGGUNAKAN WEB SOCKET PADA SISTEM INFORMASI PENGELOLAAN ANGGARAN UNIVERSITAS ABC , 2018 .

[6]  Alam Rahmatulloh,et al.  Web Services to Overcome Interoperability in Fingerprint-based Attendance System , 2019, Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018).

[7]  Meicsy E.I. Najoan,et al.  Desain dan Implementasi Sistem Absensi Fingerprint di Jaringan Kampus dan Terintegrasi Dengan Sistem Informasi Terpadu UNSRAT , 2014 .

[8]  Stefan Kozak,et al.  Virtual laboratory based on Node.js technology , 2017, 2017 21st International Conference on Process Control (PC).

[9]  Robert B. Miller,et al.  Response time in man-computer conversational transactions , 1899, AFIPS Fall Joint Computing Conference.

[10]  O. M. Olaniyi,et al.  A Multifactor Student Attendance Management System Using Fingerprint Biometrics and RFID Techniques , 2016 .

[11]  M. Amir Abas,et al.  Attendance Management System (AMS) with fast track analysis , 2014, 2014 International Conference on Computer, Control, Informatics and Its Applications (IC3INA).

[12]  Lakshmi Prasanna Chitra,et al.  Performance comparison and evaluation of Node.js and traditional web server (IIS) , 2017, 2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET).

[13]  Adetunmbi A.O,et al.  Fingerprint-Based Attendance Management System , 2013 .

[14]  Kyriakos-Ioannis D. Kyriakou,et al.  Proximity: A Real-Time, Location Aware Social Web Application Built with Node.js and AngularJS , 2013, MobiWIS.

[15]  Kyriakos-Ioannis D. Kyriakou,et al.  Is Node.js a viable option for building modern web applications? A performance evaluation study , 2015, Computing.