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dc.contributor.advisorHortizuela, Manny A.
dc.contributor.authorHidalgo, Jade Charlie A.
dc.contributor.authorFloresca, Marivic S.
dc.contributor.authorSongcuan, John Carlo C.
dc.contributor.authorVisaya, Lovina Jamee C.
dc.contributor.chairCabading, Jose Mari N.
dc.contributor.committeememberFabro, Arrianne Michelle F.
dc.date.accessioned2026-03-13T05:41:57Z
dc.date.available2026-03-13T05:41:57Z
dc.date.issued2025-11
dc.description.abstractThis study focused on the development and evaluation of STREAM: Smart Technology for Real-Time Environmental Aquatic Monitoring, an Internet of Things (IoT)~ based system designed to monitor water quality in fishponds. The system measures critical parameters, including temperature, dissolved oxygen (DO), and pH, to address challenges faced by small-scale fishpond operatorswho rely on manual and intermittent testing.Using a descriptive and applied research design guided by the Prototyping Model, the system integrated sensors, a Saleng 128DB microcontroller, and an ESP-32 Wi-Fi module with a web-based monitoring platform developed in HTML, CSS, JavaScript, PHP, and Laravel, with MySQL as the database. Accuracy and reliabilitywere validated through comparisons with standard instruments using MAE, RMSE, and Bland-Altman analysis, which demonstrated high precision for DO and temperature and acceptable consistency for pH. The system’s feasibility, acceptability, and usability were assessed using TAP-TEEPS and the System Usability Scale (SUS). Results indicated that STREAM is technically feasible, economically practical, environmentally sound, socially and politically acceptable, and highly usable. Enhancements, including DO recalibration, improved data visualization, and added security features, furtherincreased system reliability and accessibility. Overall, STREAM offers a sustainable, user-friendly, and reliable loT solution for real-time aquaculture water quality monitoring, with significant potential for adoption by smallscale fishpond operators and integration into academic and research programs.
dc.identifier.citationHidalgo, J. C. A., Floresca, M. S., Songcuan, J. C., & Visaya, L. J. C. (2025) [Unpublished Undergraduate Feasibility Study]. Don Mariano Marcos Memorial State University – Mid La Union Campus. Lakasa ti Sirib, DMMMMSU Institutional Repository.
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/1189
dc.language.isoen
dc.publisherDon Mariano Marcos Memorial State University – Mid La Union Campus
dc.sdgSDG 9
dc.titleStream:
dc.title.alternativeSmart technology for real-time environmental aquatic monitoring
dc.typeThesis
dspace.entity.typePublication
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