PREDIKSI PENJUALAN PRODUK MENGGUNAKAN ALGORITMA NAIVE BAYES

Yulianto, Teguh (2019) PREDIKSI PENJUALAN PRODUK MENGGUNAKAN ALGORITMA NAIVE BAYES. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

Couple Store is a shop that specializes in fashion sales, such as couple shirts, hoodie couples and family couple shirts. Not only Couple Store, many other companies are engaged in the same field and make competition between companies become more dense. The Couple Store company is expected to be able to compete in the business with sales activities and is expected to experience an increase in terms of operations and profits. One way to make better production within a company is to utilize sales data processing using the Naïve Bayes algorithm. The Naïve Bayes algorithm calculates the probability value of each of the attributes examined. Next, Naïve Bayes will classify the data sample into classes that have the highest probability value. To accurately sell these products, researchers designed a web-based product sales prediction system that was built using HTML and CSS, the PHP programming language, and MySQL as its database. The results of this study are implemented by the Naïve Bayes algorithm to predict product sales at the Couple Store so that it can assist a series of product sales processes according to what the community needs. It also can help users in the product improvement process. Keywords: Naive Bayes, Probability, Couple Store, Products

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknologi Informasi dan Elektro > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 02 Nov 2019 11:59
Last Modified: 02 Nov 2019 11:59
URI: http://eprints.uty.ac.id/id/eprint/4172

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