Predictive Analysis Application for Academic Student Advancement in Secondary Education Institutions

Abstract

The study developed a Predictive Analysis Application for Academic Student Advancement at Dr. Josefa Jara Martinez High School (DJJMHS) to manage school forms and data records centrally. This system offers real-time attendance tracking, academic progress reports, prediction, visualization, staff performance monitoring, and report generation. It ensures secure network connections and improved security measures while presenting all functions through a user-friendly interface. Developed using HTML5, CSS3, JavaScript, and Python-MySQL, the system facilitates the issuance and processing of various school forms. Through two testing cycles, it demonstrated functionality and reliability, receiving a "Very Good" rating from 30 respondents. This indicates accurate and dependable access to end users' data and services through the system.