Implementasi Data Mining Untuk Memprediksi Masa Panen Dalam Bercocok Tanam Dengan Menggunakan Algoritma Naive Bayes Classifier

Abstract−This study intends to predict the harvest period in farming at Regional Technical Implementation Unit of Gabe Hutaraja Various Crops. The method used this is Naive Bayes Classifier. data are time series from 2015 2017. results predictions rice, peanut, and corn crops future.
 Classifier a simple probabilistic classification process based on application Bayes' Theorem (Bayes rule) with assumption strong independence, other words, Bayes, model an independent feature model. using RapidMinner5.3 help find accurate value.
 benefits writing research that it can so needed as field planning improving quality crop yields aim reduce farmers' losses.