Klasifikasi Predikat Kelulusan Mahasiswa Fakultas Teknik Universitas Islam Riau Menggunakan Algoritma Naive Bayes

Pratama, Ghufron Afif (2022) Klasifikasi Predikat Kelulusan Mahasiswa Fakultas Teknik Universitas Islam Riau Menggunakan Algoritma Naive Bayes. Other thesis, Universitas Islam Riau.

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Abstract

In a university there must be students who enter and there are also students who graduate or graduate, every student who graduates or graduates always attaches his data or files to the TU faculty in the form of documents that are packaged in physical form. So far, these documents have only been stored in the TU and when they have piled up they only end up in the warehouse. This study tries to take advantage of these documents for data collection and processing so that they can produce useful information for academics, especially the faculty of engineering, by building a system that applies data mining studies with the Naive Bayes algorithm. In this study, information that can be taken from the data of the graduates is in the form of name, npm, study program, period of study, graduation predicate, high school origin, high school status, high school major, year of high school graduation, and math scores. Testing the predicate classification system for graduating students from the UIR Engineering Faculty got a score of 75% so that it was feasible to implement

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