Hayon, Yuliana Rain (2023) Analisis Penerapan Algoritma Naïve Bayes Dan K-Nn Untuk Klasifikasi Jumlah Penerimaan Mahasiswa Baru (Studi Kasus: Universitas Merdeka Malang). Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Merdeka University Malang (Unmer Malang) is a private tertiary institution which was founded on January 29, 1964. This study will try to compare the results of the analysis of the two methods to find out which algorithm is most suitable for use as a recommendation for determining new student admissions at Merdeka University Malang. The algorithms used are the Naive Bayes Algorithm and the Knn
Algorithm. This study also identified the best algorithm among the two choices the classification algorithm. The results of this research are the accumulative values of the two methods, which can be seen from the K-NN method Accuracy: 81%, Precision: 82%, Recall: 97% with the Naïve Bayes method Accuracy: 79%, Precision: 87% and Recall: 86%. So the accuracy value of the K-NN method is higher than Naïve Bayes. For the process of classifying the number of new students at Merdeka University Malang, the results are better by using the K-NN method

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