Vol. 3 No. 1 (2024): The QUEST: Journal of Multidisciplinary Research and Development
Articles

HighDro: An Intelligent Asset and Pressure Management Application for Local Water Utilities using GIS

  • Clemen Paul Martin,
  • Alexander Cochanco,
  • Rose Anne Cochanco
Clemen Paul Martin
Cabanatuan City Water District
Alexander Cochanco
Nueva Ecija University of Science and Technology
Rose Anne Cochanco
Nueva Ecija University of Science and Technology
DOI: https://doi.org/10.60008/thequest.v3i1.132

Published 03/28/2024

Keywords

  • Asset Management,
  • Decision-Support,
  • Geographic Information System,
  • Local Water Utility,
  • Pressure Monitoring

How to Cite

Martin, C. P., Cochanco, A., & Cochanco, R. A. (2024). HighDro: An Intelligent Asset and Pressure Management Application for Local Water Utilities using GIS. The QUEST: Journal of Multidisciplinary Research and Development, 3(1). https://doi.org/10.60008/thequest.v3i1.132

Copyright (c) 2024 The QUEST: Journal of Multidisciplinary Research and Development

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

The study aimed to create a secure application for a local water utility, addressing asset management and pressure monitoring in the district meter area. The Intelligent Asset and Pressure Management Application, developed through Agile Model Phases, served as a tool for employees to monitor assets, report leaks, and make informed decisions. Quality assessment and acceptability determination employed ISO/IEC 25010 criteria, using questionnaire and interview techniques with IT experts and utility employees as respondents, chosen through purposive sampling. Results indicated alignment with ISO 25010 Software Product Quality Standards, covering functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The application proved highly effective in the water utility, excelling in asset and leak management, pressure monitoring, and decision-support modules, according to study respondents.

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