Penerapan Algoritma Naïve Bayes untuk Mengidentifikasi Strategi Marketing dalam Penjualan Deposit E-Money

Abstract

This research is based on very rapid technological developments and in the current Covid-19 pandemic, all people are very careful in everything, keep their distance from other people and continue to reduce direct contact with other people, including when transacting. One option to help reduce direct contact with other people when transacting is to use E-Money. Currently, various kinds of E-Money products have started to appear, there are 4 E-Money which are quite widely used by the people of Indonesia, namely GOPAY, OVO, DANA and LINKAJA. In this study, the author wants to classify between the four E-Money, which one is the best-selling product in the sale of E-Money deposits. By using the help of the RapidMiner application, researchers process a Sales Performance data from one of the fintech Start-up applications. Of the total 67,971 data, divided into 2, namely 54,376 data used as training data and 13,595 data for testing data.