Trends and Analysis of Graduate Programs

Abstract

Due to the influx of students in higher education institutions, this study was designed to generate, process, and analyze students’ information using online data retrieval. The system was crafted using data mining techniques. The PHP scripting language for web development and the V-Model Design were employed during the course of the study. To analyze the data, simple recursive algorithm was used. The procedure solved the base cases that directly recurs with a simpler sub problem and does some extra work to provide the solution to the simpler sub problems. In this study, it combined the records from one table to another to generate results and determine all the registered enrollees in the system. Respondents included new students, old students, and the graduates of the academic institution under survey. The objective is to replace the actual rigorous paper works during every transaction engaged by the students. The system used to generate information on enrolment, vertical alignments, and program trends. The study found out that the system was deemed effective in terms of system, information, and service quality.