ROZAQ, ANANDA JANUAR and Tania, Ken Ditha (2021) IMPLEMENTASI METODE KLASIFIKASI ALGORITMA NAIVE BAYES DALAM MENGANALISIS TRANSAKSI PENJUALAN PADA 212 MART KUTO PALEMBANG. Undergraduate thesis, Sriwijaya University.
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Abstract
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.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Data Mining, penjualan, klasifikasi, Naive Bayes |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) |
Divisions: | 09-Faculty of Computer Science > 57201-Information Systems (S1) |
Depositing User: | Ananda Januar Rozaq |
Date Deposited: | 21 Sep 2021 01:25 |
Last Modified: | 21 Sep 2021 01:25 |
URI: | http://repository.unsri.ac.id/id/eprint/54022 |
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