Development of Student’s Enrolment System Using Depth-first Search Algorithm

Abstract

This paper presents a new electronic system that uses technology which is the student enrolment system (SES) used at the University of Technology (Baghdad). The work aims to save time and effort for both the direct admission staff and the student. Application (SES) was evaluated using several variables: (student score, school branch, student desire, role of success in the high school, admission channel, application date and number of seats allocated to each admission channel in each department). The depth-first search algorithm was used to search in data as a tree or graph data structure and speed up the admission process for first-year students at University of Technology (Baghdad). The results obtained from the (depth-first search) algorithm was tabulated using the SPSS statistical programme (statistical version 20) to analyse variance to determine which of the factors most affected the results of student enrolment to the departments. The results showed that the electronic system (SES) included the acceptance of the highest rates in the scientific departments according to the student's desire and within the qualitative capacity of each department. The results showed that the best average was present at the student model 3 (0.218567 ± 0.0044792), which means that the student made the best choices. The results of (ANOVA) showed that when the value of (P ≤ 0.05), there will be statistical significance, as it was found that the student score (p = 0.001), the role of success (p = 0.003) and the number of seats available for each department (p = 0.004) are among the most influential factors on student acceptance, followed by the student branch (p = 0.033) and application date (p = 0.060), while the student's desire (p = 0.549) and acceptance channel (p = 0.56) have the least influence on the student's acceptance.