Jurnal Accounting Information System (AIMS)
Vol. 5 No. 1 (2022)

Implementasi Algoritma K-Nearest Neighbor dalam Menentukan Buku Berdasarkan Peminatan

Faujatun Hasanah (STMIK IKMI Cirebon)
Tati Suprapti (STMIK IKMI Cirebon)
Nining Rahaningsih (STMIK IKMI Cirebon)
Irfan Ali (STMIK IKMI Cirebon)



Article Info

Publish Date
31 Mar 2022

Abstract

The use of computer technology helps a lot in human performance in various data and information management. Therefore, researchers use computers to make analyzes that can predict favorite books based on data from book borrowing records in the library. Researchers use is data mining. Data mining is a term used to describe the discovery of knowledge in databases, using statistical techniques, mathematics, artificial intelligence, and machine learning to extract and identify information that is useful for science. The use of data mining requires a method that can manage book borrowing data so that it gets the predictions of favorite books. The method used is K-Nearest Neighbor (KNN). The results of the accuracy in this study are 98.75%, Prediction of Disinterest with true Not Interest is 28 data, Prediction of Disinterest with true Interest is 1 data, Prediction of Interest with true No Interest is 0 data, Interest Prediction with true Interest is 54 data.

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Journal Info

Abbrev

aims

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Education Other

Description

Jurnal Accounting Information System (AIMS) is a scientific journal published by the Accounting Information Systems Study Program, Masoem University, Bandung. This journal is a forum for publication of scientific works in the form of writings by academics, researchers and practitioners on pure and ...