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Proposed Framework and Features of the Data-Driven Web Decision Support System for Rural Water District in the Philippines

Abstract— As mandated by the Philippine government to provide clean potable water to households and other users in the country, water districts ensure the effective management and sustainable operation of their organization. They wield efforts to institute quality services to their customers’ demands of ensuring water safety and maintenance of water distribution in different barangays under their jurisdiction. Customers’ feedback plays a significant part in the decision-making task of the management and to the improvement of their services. Managers can use systems that access current and historical data to support their decision-making tasks. Decision Support Systems potentially increase access to data and help managers gain insight of the organization processes, customer concerns and feedback in a form that can be instantly understood and acted upon. The researchers looked into the processes of water districts in collecting customer requests for maintenance/repair tasks and complaints about water quality and how these data are processed by the district to prioritize maintenance tasks hence maximize their available resources. This paper proposes a framework for a data-driven web decision support system that captures customers’ complaints and feedback, perform short-term data analysis that leads to maintenance task prioritization for water districts. The framework includes underlying inputs such as the customers’ complaints and request for maintenance tasks, available database and web technologies, a general description of the model and the expected outputs.

Index Terms— data-driven web decision support system, water district, framework.

Grace Lorraine Intal
School of Information Technology, Mapua University Makati, Philippines
Carlos Genster Camposagrado
Department of Information Technology, Pangasinan State University Pangasinan, Philippines
Cristeta Tolentino
3Department of Information Technology, Pangasinan State University Pangasinan, Philippines

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Cite: Grace Lorraine Intal, Carlo Genster Camposagrado, Cristeta Tolentino, " Proposed Framework and Features of the Data-Driven Web Decision Support System for Rural Water District in the Philippines, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 667-674, Sanya, China, April 15-18, 2022.