PENERAPAN DATA MINING UNTUK MEMPREDIKSI PEMBELIAN MOBIL BEKAS MENGGUNAKAN ALGORITMA NAÏVE BAYES

PENERAPAN DATA MINING UNTUK MEMPREDIKSI PEMBELIAN MOBIL BEKAS MENGGUNAKAN ALGORITMA NAÏVE BAYES

Database, Data Mining, Used Car, Naïve Bayes

Database can also be interpreted as a data warehouse. The amount of data collected in the database can be processed to generate valuable knowledge for science. One popular and widely used technique for processing databases is data mining. Data mining is the process of extracting knowledge from large and complex data warehouse. Data mining encompasses various algorithm to generate knowledge, one of which is naïve bayes. The dataset used in this research, employing the naïve bayes algorithm, consists of attributes relevant to the purchase of used cars, such year, transmission, mileage, car condition, and brand. This research aims to produce patterns and additional knowledge for participants in the used car business to identify the supporting factors in purchasing used cars.

Diana Yusuf1(*)

https://ojs.itb-ad.ac.id/index.php/JUSIN/article/view/2070/455

TB Ahmad Dahlan, Jakarta

2023

Fajar Bagus W

PDF

Indonesia

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