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 recurred with a more
straightforward sub-problem and did some extra work to
solve 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.
Trends Analysis, Graduate School Information System.