02820nam a22001817a 4500 OSt 20250321162802.0 250321b |||||||| |||| 00| 0 eng d NVSU Sumagpao, Argie S. Decision support system for construction works based on precipitation data analysis/ Argie S. Sumagpao Bayombong: Nueva Vizcaya State University, 2023 xi, 96 leaves : illustrations (some colored) ; 28 cm. The main aim of the study was to establish online interface of Civil Engineering project using the forecasted data from CY 2003 to 2022 in Nueva Vizcaya and determine the acceptability level of the online interface using the engineering project. Descriptive exploratory type of research was used in this study. The study was conducted mid-year of 2023 in the province of Nueva Vizcaya however the available data on precipitation used for the analysis were that from January 2003 to December 2022 Precipitation data from January 2003 to December 2022 were collected from the Agromet Station of Nueva Vizcaya State University Bayombong (NVSU-PAGASA) These data were used to forecast the precipitation of Nueva Vizcaya Province for CY 2024. The month of April, May June, July, August, September, and October 2024 respectively, the seasonal adjustment factor (SAF) of precipitation was more than 200 min, it was in these months the precipitation was above the typical months. Among these months, September 2024 had the highest SAF of 315.118 mm followed by May 2024 which had SAF of 244.370 mm. Expert modeler of SPSS ver. 25 was used to find the best fit model for forecasting precipitation using mean rainfall all lagged at 12 months as covariates. It suggests the seasonal autoregressive integrated moving average model, SARIMA (1,0,1) (1,0,1)12 as the best fit statistical model for this time series data. It was found that twelve months climatic factors, mean rainfall (P value 0.043) lagged at 12 months were significant predictors of precipitation in the study area. Strong precipitations were found to occur between the months of April until October with a peak in the month of September. Since the entire year, or 12 months were notable for precipitation there is a high correlation that there are chances of rainfall in one month and the succeeding months in Nueva Vizcaya. It is also noted that the maximum precipitations during the months of September and decreases of precipitation thereafter. The level of acceptability had an overall average of 3.72 classified as strongly accepted. Keywords: Precipitation, Time Series, SARIMA, Acceptability, Online Interface Thesis (Master of Arts in Teaching - Mathematics) Includes appendices and bibliographical references ddc TH 0 394 394 0 0 ddc 0 0 NVSUBAY NVSUBAY GS 2025-03-21 Donation 0 T Su955d 2023 T1045 2025-03-21 16:28:47 2025-03-21 TH