Mitigating Administrative Latency through Edge-Computed Optical Decoding and Real-Time State Synchronization in Educational Environments

John Bon Juvi Dahunan Jumarito

Mitigating Administrative Latency through Edge-Computed Optical Decoding and Real-Time State Synchronization in Educational Environments

Author(s)	John Bon Juvi Dahunan Jumarito
Country	Philippines
Abstract	Administrative attendance routines can erode active teaching time, congest institutional networks, and produce fragile records when they depend on either manual logbooks or centralized server-side image processing. This study designed, implemented, and evaluated an edge-computed attendance framework that transfers QR-code decoding from the server to the client browser while preserving centralized validation and storage through an asynchronous FastAPI backend and PostgreSQL database. Using a developmental research design that integrated Agile SDLC with the Context, Input, Process, Product evaluation model, the study was deployed at Zamboanga del Sur Provincial Government College and assessed through time-motion observation, Apache JMeter stress testing, and an ISO/IEC 9126-based questionnaire completed by 47 respondents (42 students, 3 educators, and 2 IT administrators). Results showed that the legacy attendance workflow was characterized by recurring administrative delay (M = 3.43), bandwidth strain (M = 3.39), and record-management difficulty (M = 3.37). The deployed backend sustained strong benchmark performance from 50 to 500 concurrent users, with mean response times of 22-97 ms, peak CPU utilization of 21.6%, peak memory consumption of 209 MB, and zero failed requests. Post-implementation evaluation indicated positive system quality across functionality, reliability, usability, efficiency, portability, and security (overall M = 3.97, p < .001). Attendance-processing time decreased from 4.62 minutes under the manual procedure to 0.83 minutes with the proposed framework, recovering 3.79 minutes of pedagogical engagement per class session. The findings demonstrate that edge-computed optical decoding offers a scalable, hardware-agnostic, and instruction-preserving approach to attendance management in resource-constrained educational environments, though future iterations must balance this decentralized efficiency with advanced cryptographic safeguards and broader, multi-departmental validation.
Keywords	edge computing; attendance management; QR decoding; FastAPI; educational technology; administrative latency
Field	Computer > Data / Information
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-05-21

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Mitigating Administrative Latency through Edge-Computed Optical Decoding and Real-Time State Synchronization in Educational Environments

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