Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )

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Correctness Quality Factor Testing to Validate Data on SIPAKAR GROSS Web Application

Authors
Muhammad Aris Ganiardi1, *, Nita Novita1, Ida Wahyuningrum1, Amanda Ihsanan Putri1, Clarisya Paraswida1, Nur Tysa Shafira1
1Informatics Management Department, State Polytechnic of Sriwijaya, Srijaya Negara Street, Kampus Bukit Besar, Palembang, South Sumatera, Indonesia
*Corresponding author. Email: maris@polsri.ac.id
Corresponding Author
Muhammad Aris Ganiardi
Available Online 1 May 2025.
DOI
10.2991/978-94-6463-678-9_52How to use a DOI?
Keywords
Web application testing; payroll application; gross method
Abstract

The testing stage is the most important part of the web application development cycle. Testing is carried out when the web application is completed before being implemented by the user. The method of testing web applications is determined based on quality factors that have been agreed upon between the user and the developer. The web application to be tested is SIPAKAR GROSS (employee payroll web application using the gross method) and testing is carried out based on the correctness quality factor. The selection of this quality factor is to ensure that the information generated by SIPAKAR GROSS is accurate, complete, up-to-date, and available. Testing is carried out using the equivalence partitions method Black box technique. The method of testing the equivalence partitions method is based on input and output validation of the web application to be tested. Data will be grouped Users will enter data based on scenarios that have been created by the testing team From the test results involving 10 users, the output results of SIPAKAR GROSS are accurate, complete, up-to-date, and available.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
Series
Advances in Engineering Research
Publication Date
1 May 2025
ISBN
978-94-6463-678-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-678-9_52How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Muhammad Aris Ganiardi
AU  - Nita Novita
AU  - Ida Wahyuningrum
AU  - Amanda Ihsanan Putri
AU  - Clarisya Paraswida
AU  - Nur Tysa Shafira
PY  - 2025
DA  - 2025/05/01
TI  - Correctness Quality Factor Testing to Validate Data on SIPAKAR GROSS Web Application
BT  - Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
PB  - Atlantis Press
SP  - 545
EP  - 555
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-678-9_52
DO  - 10.2991/978-94-6463-678-9_52
ID  - Ganiardi2025
ER  -