Skripsi

PERBANDINGAN METODE NAIVE BAYES DAN K-NEAREST NEIGHBOR UNTUK KLASIFIKASI KELULUSAN MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS SRIWIJAYA

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Penilaian

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Student graduation is one of the areas included in the Internal Quality Assurance Standards (SPMI) of a university. Factors that can influence student graduation include the Semester Achievement Index (IPS) score, GPA, and Graduation Status. One of the methods that can be used to perform classfication is the Naive Bayes and K-Nearest Neighbor methods. The results obtained in the Naive Bayes methods test got an accuracy value of 43,3%, a precision value of 52,94%, and a recall value of 57,27%. And K-Nearest Neighbor method gets an accuracy value of 53,3%, a precision value of 32,08% and a recall value of 42.15%

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002676	T46615	T466152021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T466152021

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xvii, 58 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Pemrosesan Data, Teknik Informatika
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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