Mobile-Web Responsive Portal for St. John Paul II College of Davao Applying Predictive Analytics Techniques

Abstract

This study represents the portal for St. John Paul II College of Davao (SJP2CD). It is a responsive system to mobile and web platforms that enables the school community to operate efficiently throughout enrollment and enhances online access to academic information. The portal is built with Django and Python to create effective and timely management information and the database used is SQLite. Furthermore, the Classification and Regression Tree (CART) model is used for the automatic advising for the student enrollment process and the Linear Regression Model for the enrollment prediction. This portal is accessible via web browsers and mobile devices. During the deployment phase, when all required assessments are finished through extensive functionality testing and how the portal is helpful to all users, the development sprints’ goals were effectively achieved. In conclusion, the SJP2CD Portal has proved to meet all users' needs.