ANTAM GOLD PRICE CHANGES PREDICTION USING THE KNEAREST NEIGHBOR AND METHOD NAIVE BAYES ALGORITHM

Author

Adi Rachmanto, S.Kom., M.Kom

Abstrak

The purpose of this study is to predict the increase in gold prices which can help investors to decide when to buy gold at the right time. Where Gold is one of the most sought after commodities for investment purposes. In addition, gold is used in some countries as a financial or economic standard, foreign exchange reserves, and most importantly, a means of payment. In addition, investors usually buy gold as a hedge or safe haven against various crises including economic, political, social or currency crises. The development of gold stock prices forced investors to take quick decisions to buy shares in the gold commodity. In predicting Antam's gold price, researchers used two methods to compare it, namely the K-NN method and the Naive Bayes algorithm. The results of the test using Antam's gold price prediction data in 2005 - 2021 with a frequency of changes per day with 534 training data and 229 test data, the recall value obtained is 0.707% for K-NN and 0.576 for Naive. Bayes. The expected impact of this research is that investors can know / predict when Antam's gold price will go up or down, so it can help investors to decide when to buy or sell Antam's gold at the right time.