E-Learning and Knowledge Management Open access Peer reviewed

Knowledge Management (Km) Information System for Laguna State Polytechnic University - Santa Cruz Campus

Jerahmeel A Badillo, Jan Reinnen S Calapao, Dexter D Rebong, Mia V. Villarica

International Journal of Latest Technology in Engineering Management & Applied Science | Jun 1, 2026

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This study developed a web-based Knowledge Management Information System for Laguna State Polytechnic University - Sta.

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Documents in any institution have been outnumbered and scattered in various repositories, hindering efficient information retrieval and threatening institutional memory. This study developed a web-based Knowledge Management Information System for Laguna State Polytechnic University - Sta. Cruz Campus that consolidates core institutional documents such as research outputs, policies, course materials and extension documents into a centralized, secure, and searchable platform. Employing a Developmental and Experimental Research Design, KMIS engineered four core intelligent components: Role-Based Access Control centralized repository, Retrieval Augmented Generation pipeline that uses vector embeddings to utilize semantic search and LLM-generated summaries from natural language queries. Lastly, the automated QPRO analysis engine. The developed KRA text classification model achieved an overall accuracy of 98% and automatically categorized institutional reports against the 22 Key Result Areas from the 2025-2029 LSPU Strategic Plan.

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Authors

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Jerahmeel A Badillo

first | Laguna State Polytechnic University

Jan Reinnen S Calapao

middle | Laguna State Polytechnic University

Dexter D Rebong

middle | Laguna State Polytechnic University

Mia V. Villarica

last | Laguna State Polytechnic University

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Citation

BibTeX

@article{Badillo2026Knowledge,
  title = {Knowledge Management (Km) Information System for Laguna State Polytechnic University - Santa Cruz Campus},
  author = {Jerahmeel A Badillo and Jan Reinnen S Calapao and Dexter D Rebong and Mia V. Villarica},
  journal = {International Journal of Latest Technology in Engineering Management & Applied Science},
  year = {2026},
  doi = {10.51583/ijltemas.2026.150500067},
  url = {https://doi.org/10.51583/ijltemas.2026.150500067}
}

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