CFP last date
20 June 2024
Reseach Article

Implementation of Student Activity Attendance System using Photo and Location Detection based on Android

by Fajri Nusa Jauhari, Arief Hermawan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 48
Year of Publication: 2023
Authors: Fajri Nusa Jauhari, Arief Hermawan
10.5120/ijca2023923308

Fajri Nusa Jauhari, Arief Hermawan . Implementation of Student Activity Attendance System using Photo and Location Detection based on Android. International Journal of Computer Applications. 185, 48 ( Dec 2023), 10-16. DOI=10.5120/ijca2023923308

@article{ 10.5120/ijca2023923308,
author = { Fajri Nusa Jauhari, Arief Hermawan },
title = { Implementation of Student Activity Attendance System using Photo and Location Detection based on Android },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2023 },
volume = { 185 },
number = { 48 },
month = { Dec },
year = { 2023 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number48/33013-2023923308/ },
doi = { 10.5120/ijca2023923308 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:29:06.786880+05:30
%A Fajri Nusa Jauhari
%A Arief Hermawan
%T Implementation of Student Activity Attendance System using Photo and Location Detection based on Android
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 48
%P 10-16
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The development of technology in the current era is very rapid. One of them is application development in the Android operating system. Android provides an open platform for developers to create their own applications that are used on various mobile devices. The application was created with the aim of simplifying performance. Every agency definitely needs a system as a tool to organize every process carried out in the agency. Educational institutions cannot be separated from the use of technology. With the current practical situation, this report will create a student attendance system using the android-based location method. This is because students still use manual signatures, with the presence of attendance with the android-based location method, students cannot manipulate attendance, so attendance fraud can be avoided. With the application of location features in the lecture attendance system with Android devices, it can speed up the student attendance process besides that it can also record student attendance accurately and quickly. On the results of system trials that have been completed and successfully made, the system will soon be implemented on Android smartphones.

References
  1. D. Sunaryono, J. Siswantoro and R. Anggoro, "An android based course attendance system using face recognition," Journal of King Saud University - Computer and Information Sciences, pp. 304-312, 2021.
  2. M. M. Islam and e. al, "Development of smartphone-based student attendance system," IEEE, 2017.
  3. Y. Zhu and J. Zhang, "Technology Life Cycle Embedded Technology Development Path Analysis Method," Procedia Computer Science, vol. 202, pp. 289-294, 2022.
  4. M. Ohyver and e. al, "The Comparison Firebase Realtime Database and MySQL Database Performance using Wilcoxon Signed-Rank Test," Procedia Computer Science, vol. 157, pp. 396-405, 2019.
  5. F. Al-Hawari, "Software design patterns for data management features in web-based information systems," Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 10, pp. 10028-10043, 2022.
  6. T. Taipalus, "Database management system performance comparisons: A systematic literature review," Journal of Systems and Software, 2023.
  7. J. Lu, I. Holubova and e. al, "Multi-model Databases: A New Journey to Handle the Variety of Data," ACM Computing Surveys, 2019.
  8. M. Kamaruzaman and e. al, "Developing User Interface Design Application for Children with Autism," Procedia - Social and Behavioral Sciences, vol. 217, pp. 887-894, 2016.
  9. N. Syafitri and S. Sancoko, "Mobile-based Dental Clinic Application as an Optimal," International Journal of Computer Applications, vol. 185, no. 33, 2023.
  10. P. H. Guzzi, Computing Languages for Bioinformatics: Java, Encyclopedia of Bioinformatics and Computational Biology, 2019.
  11. C. Galindo, S. Perez and J. Silva, "Program slicing of Java programs," Journal of Logical and Algebraic Methods in Programming, vol. 130, 2023.
  12. P. Kyriakakis, A. Chatzigeorgiou and e. al, "Exploring the frequency and change proneness of dynamic feature pattern instances in PHP applications," Science of Computer Programming, vol. 171, pp. 1-20, 2019.
  13. T. Yumoto and e. al, "A Test Analysis Method for Black Box Testing Using AUT and Fault Knowledge," Procedia Computer Science, vol. 22, pp. 551-560, 2013.
  14. IPA, "Report of industry actual survey for Embedded Software in 2009," METI, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Application Attendance Location Based Photo.