Algorithm Design to Determine Possibility of Student Graduate Time in Student Grade Recapitulation Application

This study aims to create an algorithm model to determine the potential time for student graduation to be applied to the grade recapitulation information system at XYZ University Information System Study Program. The XYZ University Information System Study Program already has a grade recapitulation information system, but the grade recapitulation information system has not been able to provide potential information about when a student can graduate from college. Information about probability graduating from college is very important as evaluation material in providing direction to students as an effort to achieve graduate on time. The more students who graduate on time, it can help increase the value of accreditation. The existing grade recapitulation information system can only display a history of grades and courses that have been taken by a student, so that the guardian lecturer has difficulty checking the courses that have not been taken by the student guidance and difficulty obtaining information when the student's guidance can graduate from college. In this study, an algorithm model was used to calculate the student's graduate time based on the calculation and mapping of subjects that had not been taken and had not yet passed. Based on the test results, the average time needed to determine student graduation time is 0.165 seconds.

@article{Winanti2020,
  title     = {Algorithm Design to Determine Possibility of Student Graduate Time in Student Grade Recapitulation Application},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {12},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Marliana Budhiningtias Winanti and Umi Narimawati and Suwinarno Nadjamudin and Hendar Rubedo and Syahrul Mauluddin},
  doi       = {10.14569/IJACSA.2020.0111250},
  url       = {https://doi.org/10.14569/IJACSA.2020.0111250}
}