Analisis Metode Klasifikasi Pada Penjualan Cat Emco (Studi Kasus : PT. Satriakarya Adiyudha Cab. Kupang)

SERAN, Bernadetha Soi (2020) Analisis Metode Klasifikasi Pada Penjualan Cat Emco (Studi Kasus : PT. Satriakarya Adiyudha Cab. Kupang). Undergraduate thesis, Unika Widya Mandira.

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Abstract

PT. SKAY Cab. Kupang is a large company engaged in sales. Stored data will be used using data mining so that it can be used as decision support to find information that is useful in evaluating the data used. Various methods are contained in data mining, so this study will conduct a comparative analysis of 5 classification methods of data mining. The use of the Naïve Bayes method, Decision Tree, K-NN, Neural Network and SVM is implemented using the Rapid Miner application, which will later be analyzed from each of these methods to determine the sales strategy at PT. SKAY Cab. Kupang. This research was conducted with a group of data to determine the percentage of precision, recall and accuracy values. The results of this study, the K-NN method has a better value than the other 4 methods. 100.00% precision value, 100.00% recall and 100.00% accuracy.

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