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Reseach Article

AttendanceBot Location based Attendance Tracker for Workers

by Bryan Nii Lartey Laryea, William O. M. Addo, Kennedy Andoh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 51
Year of Publication: 2019
Authors: Bryan Nii Lartey Laryea, William O. M. Addo, Kennedy Andoh
10.5120/ijca2019919414

Bryan Nii Lartey Laryea, William O. M. Addo, Kennedy Andoh . AttendanceBot Location based Attendance Tracker for Workers. International Journal of Computer Applications. 178, 51 ( Sep 2019), 12-18. DOI=10.5120/ijca2019919414

@article{ 10.5120/ijca2019919414,
author = { Bryan Nii Lartey Laryea, William O. M. Addo, Kennedy Andoh },
title = { AttendanceBot Location based Attendance Tracker for Workers },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 51 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number51/30898-2019919414/ },
doi = { 10.5120/ijca2019919414 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:43.770926+05:30
%A Bryan Nii Lartey Laryea
%A William O. M. Addo
%A Kennedy Andoh
%T AttendanceBot Location based Attendance Tracker for Workers
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 51
%P 12-18
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Employees are expected to report on time for work and be productive. In Ghana, it is mandatory for governmental departments and agencies to record attendance of employees to work using biometric technologies to prevent attendance fraud. However, some infrastructural decisions can hinder staff not to register their attendance on time such as the devices to scan their features are quite far from the entrance to these agencies. It is not unusual for workers to forget to record their attendance. In the paper the experiment was built on existing technologies to prevent duplication of effort as much as possible hence the opportunities of smartphone ubiquity and its features were exploited to mitigate the stated problems. A bot was built riding on the Telegram messaging platform to implement the design. All programming for this experiment was done in Java. Springboot Framework was used to get this work done. Data captured was stored in Redis.

References
  1. Md. Shakil & Rabindra Nath Nandi ,2013. Attendance Management System for Industrial Worker using Finger Print Scanner Global. Journal of Computer Science and Technology Graphics & Vision Volume 13 Issue 6.
  2. Steve Wright, in Strategic Intelligence Management 2013. Emerging Technologies and the Human Rights Challenge of Rapidly Expanding State Surveillance Capacities Mohammad Dastbaz,
  3. Emily Cronkleton .March 14, 2019, What Is the Average Walking Speed of an Adult?https://www.healthline.com/health/exercise-fitness/average-walking-speed
  4. Shermin Sultana1, Asma Enayet1 and Ishrat Jahan Mouri. 2015, A Smart, location Based Time and Attendance Tracking System Using Android Application nternational Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol. 5,
  5. Ian Ho, Yi-Jen & Dewan, Sanjeev & Ho, Yi-Chun. (2018). Distance and Local Competition in Mobile Geofencing..
  6. García-Martín, Julio Manuel & Alberto Buendía, José. (2019). Polluti-Bot: An informative bot of pollution in Madrid
  7. M.A. Ansari, Shubham Sharma, Ajay Shete, Shirish Ghorpade, Nikhil Ghodke 2017, Event Organization Using GPS Based Location Tracking Including Communication System,Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-6,
  8. Ankur Chandra ,Shashank Jain, Mohammed Abdul Qadeer 2011,GPS Locator: An Application for Location Tracking and Sharing Using GPS for Java Enabled Handhelds International Conference on Computational Intelligence and Communication Networks
  9. Telegrambots Spring Boot starter, https://github.com/rubenlagus/TelegramBots/tree/master/telegrambots-spring-boot-starter
  10. Geo-fence,https://en.wikipedia.org/wiki/Geo-fence
  11. Patil, P., Khachane, A and Purohit, V. 2016. A Wireless Fingerprint Attendance System. International Journal of Security, Privacy and Trust Management. Vol 5, Issue 4
  12. Redis, https://redis.io/
  13. Stephen Coetzee & Astrid Schmulian, “Check In” For Class with A Messenger Chatbot, https://chatbotsmagazine.com/check-in-for-class-with-a-messenger-chatbot-7089491be7ca
  14. Spatial4J,https://locationtech.github.io/spatial4j/
  15. https://en.wikipedia.org/wiki/Spring_Framework
  16. Sending message to a telegram channel the easy way https://medium.com/@xabaras/sending-a-message-to-a-Telegram-channel-the-easy-way-eb0a0b32968#6ace
  17. Machine Learning Biometric Attendance System using Fingerprint Fuzzy Vault Scheme Algorithm and Multi-Task Convolution Neural Network Face Recognition Algorithm, International Journal of Computer Applications.
  18. Li, Jianpo & Xu-ning, Zhu & Xue, Li & Zhi-ming, Zhang & Sui, Ji-sheng. (2010). Wireless Fingerprint Attendance System Based on ZigBee Technology. 10.1109/IWISA.2010.5473360.
Index Terms

Computer Science
Information Sciences

Keywords

Bot Attendance Authentication Telegram Geo-Fence