ADVERTISEMENT

Home|Journals|Articles by Year|Audio Abstracts
 

Original Article



Design and Implementation of an Integrated Teacher Management System Utilizing Facial Recognition and GIS-Based Location Tracking

Ivy Grace Rodavia Bisnar,Charlyn Apurado Borong,Ann Kristil Pulvera Concillado,Kristel Mae Bulawin Resma,Jose Jr. C. Agoylo.



Abstract
Download PDF Cited by 0 ArticlesPost

Aim/Background
The study aimed to develop the Teacher Unified Management System (TUMS) to address administrative inefficiencies in public schools. The system was designed to unify biometric authentication, performance monitoring, document management, and geolocation into a single platform tailored for the needs of TLE, TVL, and EPP educators.

Methods
TUMS was developed using PHP, MySQL, Python with OpenCV for facial recognition, and the Google Maps API for location tracking. The Agile methodology guided the system’s development through iterative feedback and testing. A total of 15 participants—including teachers, administrators, and IT staff—were involved in the system evaluation, which was based on ISO 25010 software quality standards.

Results
The system achieved a 92% facial recognition accuracy and reduced login time by 59%. Document processing time improved by 58%. The PROMEDS and MPS modules enabled real-time monitoring of teacher performance and student academic scores in TLE-related subjects. The GIS feature allowed school administrators to view school locations, teacher deployment, and compliance data directly on an interactive map. TUMS scored highly in usability (4.53), efficiency (4.45), functionality (4.48), and portability (4.58).

Conclusion
TUMS proves to be an effective and scalable solution for managing teacher-related processes in public schools. By integrating multiple systems into a unified platform, it contributes a novel model to the field of educational informatics—enhancing administrative workflows, supporting data-driven decision-making, and promoting accountability and efficiency in educational institutions.

Key words: GMaps, Facial Recognition, agile software development, PROMEDS, MPS.







Bibliomed Article Statistics

20
19
13
18
17
23
1
R
E
A
D
S

32

52

24

24

30

22


D
O
W
N
L
O
A
D
S
08091011120102
20252026

Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Author Tools
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits 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 licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.