Academic Student Progression Predictive Analysis Application in Secondary Education Institution

Abstract

The study developed an Academic Student Progression Predictive Analysis Application for Dr. Josefa Jara Martinez High School (DJJMHS) to provide an intranet platform for the centralized collection of data records and management of school forms. The system includes school details, school forms, real-time records of attendance, student academic progress, prediction, visualization, monitoring of employee performance, and report generation. It has enhanced security protection and can provide all users with a secured network connection. The system uses a graphical user interface to display all the functions to access all system features. The system was developed using standards and tools such as HTML5, CSS3, JavaScript, and Phyton-MySQL. It creates an interface of system transactions in utilizing technology issuance of School Forms such as SF1, SF2, SF4, SF5, SF6, SF9, and SF10. The information can be encoded once a database connection is established. It is ready to create records into the database tables using the execute method of the developed system. All required features signified functionality and reliability based on test cases performed in two cycles in a live environment. The system was evaluated “Very Good” by 30 respondents using the ISO 25010 Software Quality Matrix. This indicates that the system can be an accurate and reliable tool for accessing an end-user's data and other services.