LabAssist: Optimized Science Laboratory Management System with Data Analytics for South East Asian Institute of Technology, Inc.

The South East Asian Institute of Technology, Inc. faced challenges in managing science laboratory operations, including inefficient inventory tracking and borrowing processes. LabAssist: Optimized Science Laboratory Management System with Data Analytics was developed to address these issues. The system incorporated features such as Borrowing and Returning, Inventory Management, Penalty Tracking, and an Analytic Dashboard for decision-making. Following Agile Methodology, the system was iteratively enhanced based on testing and feedback. The System Usability Scale (SUS) evaluation yielded a high average score of 86.67, confirming the system’s usability and effectiveness. Science Lab Admins and Faculty Borrowers rated the system highly for functionality and ease of use, while Student Borrowers provided positive feedback, highlighting the need for further familiarity. All modules functioned as designed, streamlining laboratory processes and improving resource accessibility. LabAssist has demonstrated its capacity to optimize laboratory management and enhance user satisfaction.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-21
DOI
https://doi.org/10.71097/ijsat.v16.i1.2534
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

LabAssist: Optimized Science Laboratory Management System with Data Analytics for South East Asian Institute of Technology, Inc.

Hernan E. Trillano Jr. -
International Journal on Science and Technology
Big Data and Business Intelligence
article

LabAssist: Optimized Science Laboratory Management System with Data Analytics for South East Asian Institute of Technology, Inc.

Hernan E. Trillano Jr. -
article en

Abstract

The South East Asian Institute of Technology, Inc. faced challenges in managing science laboratory operations, including inefficient inventory tracking and borrowing processes. LabAssist: Optimized Science Laboratory Management System with Data Analytics was developed to address these issues. The system incorporated features such as Borrowing and Returning, Inventory Management, Penalty Tracking, and an Analytic Dashboard for decision-making. Following Agile Methodology, the system was iteratively enhanced based on testing and feedback. The System Usability Scale (SUS) evaluation yielded a high average score of 86.67, confirming the system’s usability and effectiveness. Science Lab Admins and Faculty Borrowers rated the system highly for functionality and ease of use, while Student Borrowers provided positive feedback, highlighting the need for further familiarity. All modules functioned as designed, streamlining laboratory processes and improving resource accessibility. LabAssist has demonstrated its capacity to optimize laboratory management and enhance user satisfaction.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
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LabAssist: Optimized Science Laboratory Management System with Data Analytics for South East Asian Institute of Technology, Inc. — Hernan E. Trillano Jr. - · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS