Abstract:
There are several types of investments to make money, one of which is with precious
metal gold investments. Gold investment movements tend to be more stable and
increase in value. In addition, gold is a form of liquid investment, which means it can
be accepted in any region or country and easy to do disbursement in a short time.
When the potential return on investment in stocks or bonds is no longer attractive and
is considered unable to compensate for existing risks, then the investor will divert
funds to tangible assets such as precious metals or properties that are considered more
feasible and safer. To avoid a lot of investment losses, we need an analysis model of
gold price movements, in this study the researchers chose to use the Naïve Bayes
Algorithm, K-NN and SVM. Based on the background of the problem described
earlier, the aim of this study is to obtain a competitive prediction analysis model for
the level of accuracy and the level of RMSE from the data set obtained from
www.fianance.yahoo.com in the 5- period of May 1, 2014 - May 1, 2019 and will be
tested using different test data ranging from 1 month, 3 months, 6 months, 1 year, 3
years and 5 years. After conducting research using models from the Naïve Bayes, KNN and SVM algorithms, we can conclude that the more data used, the higher the
accuracy, the truer predictions, and the lower RMSE.
