Effective and Efficient Practices in Predicting High Tide in Selected Barangays in Calumpit and Hagonoy Accurately

Reymel Aquino; Euan Francisco; Lance Angelo Bernal; Eisen Liam Pahati; Lech Walesa Navarra

doi:10.5281/zenodo.19425060

Authors

Reymel Aquino Computer Engineering Department, Student, Bulacan State University, Philippines
Euan Francisco Computer Engineering Department, Student, Bulacan State University, Philippines
Lance Angelo Bernal Computer Engineering Department, Student, Bulacan State University, Philippines
Eisen Liam Pahati Computer Engineering Department, Student, Bulacan State University, Philippines
Lech Walesa Navarra Computer Engineering Department, Faculty, Bulacan State University, Philippines

DOI:

https://doi.org/10.5281/zenodo.19425060

Keywords:

Calumpit, Hagonoy, High Tide Prediction, Mixed Methods

Abstract

This study investigated the effectiveness and efficiency of current high-tide prediction practices in selected barangays in Hagonoy and Calumpit, and evaluated their accuracy and influence on community preparedness and disaster response. The study used mixed-methods descriptive research design. Through stratified sampling, 100 respondents were selected with proportional allocation to provide data required. The data were collected using questionnaires and open-ended responses in which quantitative data was analyzed using frequency distribution, percentage distribution, and weighted mean, while qualitative data were subjected to thematic analysis. The results revealed that official tide predictions are perceived by the residents as the following: accurate (WM = 4.00), timely (WM = 4.08), and accessible (WM = 4.27). However, knowledge in interpreting tidal charts is moderate (WM = 2.97), which indicates a gap between awareness and analytical understanding. Early evacuation (WM = 3.66) and asset security (WM = 3.56) shows that preparedness is highly influenced by accurate tide predictions. In opposition, contribution for hesitation in complying with evacuation orders comes from past inaccuracy (WM = 3.51), highlighting the crucial role of trust in disaster communication systems. The study concludes that although current tide predictions are effective, enhancing existing forecasting systems could fortify the resilience in disaster of coastal communities. Combining traditional knowledge with enhanced monitoring systems is recommended to enhance tide predictions' effectiveness, reliability, and community trust.

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