Novia Keni, Angelina (2023) Prediksi Kelulusan Mahasiswa Fakultas Teknologi Informasi Universitas Merdeka Malang Menggunakan Metode Naïve Bayes. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Graduation is the main goal that will be sought and achieved in an educational field, namely graduation from the Faculty of Information Technology, Merdeka University, Malang. Which is one of the decisions to advance the Faculty of Information Technology, Merdeka University, Malang. Graduation at the Merdeka University Faculty of Malang Information Technology every year has a different number of permits each year, especially in the last five years. This research aims to find the graduation accuracy scores for graduates of the Faculty of Information Technology, Merdeka University, Malang from 2018-2023. Faculty of Information Technology, Merdeka University Malang from 2018-2023. By using the naïve Bayes method. The results of calculating the accuracy of the method using the naïve Bayes method for the last five years were in 2019 with a total of 143 students graduating with a prediction result of 0.930 and a confusion matrix of 93%. In 2020 with 118 students who passed the predication results were 1,000 and the confusion matrix was 100%. In 2021 the number of students who have graduated is 108 and the Predication result is 0.981 and the result of the confusion matrix calculation is 98%. In 2022 the number of graduates will be 132 students with a predication result of 0.856 and a confusion matrix calculation result of 85%. And in 2023 the number of graduates will be 44 students with a predication result of 0.957 and a confusion matrix result of 96%. The results of graduates with the best accuracy calculation results are in 2020

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