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Implementation of Neural Network Algorithms in Predicting Student Graduation Rates
2022
SinkrOn
Higher education institutions are required to be providers of quality education. One of the instruments used by the government to measure the quality of education providers is the number of graduates. The higher the graduation rate, the better the quality of education and this good quality will positively affect the accreditation value given by BAN-PT. Therefore, in this study, researchers provide input for research conducted at Bhayangkara University, Greater Jakarta to predict student
doi:10.33395/sinkron.v7i1.11254
fatcat:r6aampvt35aspmggdjzkvaqfdu