The study is entitled Modeling the Performance of Senior High School Students’ National Achievement Test Performance in Central Mindanao University. It aims to develop a predictive model of the National Achievement Test performance of Senior High School students. The study… More

The study is entitled Modeling the Performance of Senior High School Students’ National Achievement Test Performance in Central Mindanao University. It aims to develop a predictive model of the National Achievement Test performance of Senior High School students. The study intends to extract predictive features of students' National Achievement Test performance, find the extent of the relationship between the students' academic performance in the previous and current year to their National Achievement Test performance, and recommend pedagogical interventions concerning National Achievement Test performance's predictive features. There were two types of datasets, National Achievement Test and Periodic grades of batch 2017 – 2018 when they were in Grade 11 and Grade 12 before taking the National Achievement Test. After the data is collected, the Feature selection and Logistic regression model is applied using the data mining process's rapid miner application. Out of 30 attributes, there are only 14 subjects selected by the feature selection technique. The feature selection selected those subjects which contributed to the prediction. We found out that Philosophy and Arts in the Last Quarter and Semester before the National Achievement Test exam has the most significant effect on the National Achievement Test Result. This study was based on a CMU-funded research entitled Leveraging Educational Data Mining and Machine Learning Techniques in Developing Strategic Interventions for Senior High School Students. Less

Flood modeling studies for the purpose of forecasting, early warning, and disaster management of the local government and other disaster agencies have been done in many countries nowadays. With a similar rationale, this study aims to assess the precipitation-runoff capacity… More

Flood modeling studies for the purpose of forecasting, early warning, and disaster management of the local government and other disaster agencies have been done in many countries nowadays. With a similar rationale, this study aims to assess the precipitation-runoff capacity of the Alubijid River Basin which can put a significant number of 41,936 populations at risk to flooding. Using the 10-meter resolution SAR-DEM, the drainage system of the river basin was delineated in ArcMap 10.1 with the aid of HEC-GeoHMS. Data were collected last November 26-27, 2014 during the “Typhoon Queenie” which contributes to water level rise of 1.04 meter MSL of 86.7 mm accumulated rainfall with a peak discharge of 18.7 m3/s. The hydrologic data and generated basin model were inputted in HEC-HMS for calibration. After series of manual adjusting the river basin’s parameters, the hydrologic modeling revealed that the river basin was accepted based on the conducted model validation and performance rating. The overall statistical measures conducted obtained very good and satisfactory ratings. As a result, the basin model is accepted for water level monitoring and forecasting as it gives lead time for the preparation of evacuation of the vulnerable community to the safe sites identified by the local government unit. Less

Flood modeling is one of the recognized effective means of assessing the flood risk to people and property. In this study, the concept of flood modeling is applied in Musimusi river at Balingasag, Misamis Oriental. Using the Hydrologic Modeling System… More

Flood modeling is one of the recognized effective means of assessing the flood risk to people and property. In this study, the concept of flood modeling is applied in Musimusi river at Balingasag, Misamis Oriental. Using the Hydrologic Modeling System (HMS) and River Analysis System (RAS) of the Hydrologic Engineering Center (HEC), hydrologic and hydraulic models were developed to conduct simulations on the rainfall-runoff and flood inundation processes. Data from the Typhoon Seniang event was used as main input for the calibration of basin model and consequently validated using quantitative statistics. Further simulations on specific return periods using historical data from PAG-ASA were conducted using the calibrated model. River flow hydraulics was performed through unsteady flow analysis reconstructing the Typhoon Seniang event and constructing the 5-year, 25-year and 100-year return period scenarios, spatially illustrating flood inundations on the floodplain of Musimusi. Results of this research revealed successful simulation of flood scenarios indicating applicability of both developed HEC-HMS and HEC-RAS models. Moreover, with the integration of high resolution Digital Elevation Model (DEM), modeling is significant towards consequent development of highly precise and detailed flood hazard maps helpful especially to local governing units for the total improvement of disaster risk reduction strategies. Less