Sopian Hadi, Bagus Abu (2022) PENERAPAN ALGORITMA NAIVE BAYES CLASSIFIER UNTUK PREDIKSI MINAT PENJUALAN SEPATU BEKAS. Skripsi thesis, Universitas Muhammadiyah Sukabumi.

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Abstract

Technology was created to support and facilitate human work. In classifying sales interests, at this time we do not only learn about classification, but along with the times, the interest in selling used shoes also follows the existing market. However, there are some open issues. This means that there is no technique in selling interest to help optimize the sale of used shoes. Sellers have difficulty in predicting which shoes are selling well in the market and which are not. To overcome this, a method is needed to predict which shoes are usually sold in the market. Classification method is the process of finding a model or function that explains or distinguishes a concept or class, with the aim of predicting the class of an object whose label is unknown. In achieving this goal, the classification process forms a model that is able to distinguish data into different classes based on certain rules or functions. By testing the accuracy using the Blackbox method, the results of testing the function of the Naive Bayes Classifier algorithm are very satisfying and in accordance with the author's goals. Knowing the impact of applying the Naive Bayes Classifier algorithm, gaining new knowledge from the results of the analysis using this method, and optimizing marketing strategies using the results of the analysis.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Classification, Naive Bayes, Minat Penjualan, Sepatu Bekas
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User:	Perpus ID UMMI
Date Deposited:	13 Oct 2022 03:27
Last Modified:	13 Oct 2022 03:27
URI:	http://eprints.ummi.ac.id/id/eprint/2764

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