Skripsi

IMPLEMENTASI METODE KLASIFIKASI ALGORITMA NAIVE BAYES DALAM MENGANALISIS TRANSAKSI PENJUALAN PADA 212 MART KUTO PALEMBANG

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Penilaian

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The term Data Mining has come a long way in adapting every form of data analysis. Basically Data Mining deals with data analysis and the use of software techniques to find patterns and regularities in hidden data sets. One of the Data Mining techniques used to design effective sales or marketing strategies and find out inventory by utilizing sales transaction data available in the company. In the application of this Data Mining technique using the classification method and applying the Naive Bayes Algorithm. The data used is the sales transaction data of the 212 Mart Kuto Palembang minimarket, which sells various kinds of daily necessities ranging from food, non-food, drink, frozen and consignment. The Naive Bayes algorithm aims to classify data in certain classes, then the pattern can be used to estimate sales transaction data in predicting buyer behavior patterns.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002323	T54022	T540222021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T540222021

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xiii, 33 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.740 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Prodi Sistem Informasi
Data File-file

Specific Detail Info

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Statement of Responsibility

Win

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