Web System to Optimize Information Management for Beca 18 Selection-Stage Applicants, 2025

The objective of this study was to determine whether the implementation of a web system optimizes information management by reducing the time required to access, verify, and interpret selection-stage information for applicants of the Beca 18 2025 scholarship call. The research followed an applied, quantitative, pre-experimental design with pre-test and post-test measurements in a single group. The sample comprised 361 preselected applicants from the ordinary modality in the Lima region, selected through simple random sampling. A direct observation sheet recorded the time, in minutes, required by each participant to complete 15 tasks associated with information accessibility, information currency, and information quality before and after using the web system. The mean information-management time decreased from 130.40 to 50.46 minutes, with a statistically significant mean reduction of 79.94 minutes. The three evaluated dimensions also showed substantial reductions: information accessibility decreased by 70.3 per cent, information currency by 80.2 per cent, and information quality by 52.2 per cent. The findings indicate that, within the scope of time-based task performance, the web system optimized the efficiency with which applicants accessed, verified, and interpreted selection-stage information.

@article{Quispe-Vivas2026,
  title     = {Web System to Optimize Information Management for Beca 18 Selection-Stage Applicants, 2025},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {6},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Jack Quispe-Vivas and Cristian Sedano-Contreras and Junior Segovia-Chalco and Brian Meneses-Claudio},
  doi       = {10.14569/IJACSA.2026.0170646},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170646}
}