Predictive Analysis Application for Academic Student Advancement in Secondary Education Institutions

Authors

  • Peejay C. Vargas Senior High School Department, Dr. Josefa Jara Martinez High School, Quezon City, Metro Manila, Philippines

DOI:

https://doi.org/10.69478/JITC2024v6n2a04

Keywords:

Information Systems, Decision Support Systems, Data Mining, Student progression, Predictive analysis

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.

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Published

2024-04-30

How to Cite

Predictive Analysis Application for Academic Student Advancement in Secondary Education Institutions. (2024). Journal of Innovative Technology Convergence, 6(1). https://doi.org/10.69478/JITC2024v6n2a04

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