| Issue |
E3S Web Conf.
Volume 687, 2026
The 2nd International Conference on Applied Sciences and Smart Technologies (InCASST 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 12 | |
| Section | Green Technologies & Digital Society | |
| DOI | https://doi.org/10.1051/e3sconf/202668702009 | |
| Published online | 15 January 2026 | |
Online Reverse Auction System at Universities Based on Business Intelligence
1 Information System, Faculty of Engineering, Universitas Surabaya, Surabaya, Indonesia
2 Informatics Engineering, Faculty of Engineering, Universitas Surabaya, Surabaya, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Procurement activities at Universitas Surabaya in Surabaya utilize an information system to obtain goods or services at the best price, meeting various requirements. However, this system is still inadequate to address issues such as the unorganized flow of procurement documents and the lack of system capability to compare budgets and actuals. This study used the waterfall method to develop a better system by implementing business intelligence. Trials and evaluations were conducted using data from the university’s procurement unit. The results showed that the new system can maintain the order of procurement documents and demonstrate a good comparison between budgets and actuals. Therefore, it was concluded that this application can assist in monitoring the procurement process at the university.
© The Authors, published by EDP Sciences, 2026
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