Abstract
The amount of rainfall that occurs cannot be determined with certainty, but it can be predicted or estimated. In predicting the potential for rain, data mining techniques can be used by classifying data using the naive Bayes method. Naïve Bayes algorithm is a classification method using probability and statistical methods. The purpose of this study is how to implement the naive Bayes method to predict the potential for rain in Ternate City, and be able to calculate the accuracy of the Naive Bayes method from system created. The highest calculation results with new data with a total of 400 training data and 30 test data, obtained 30 correct data with 100% precision, 100% recall and 100% accuracy and the lowest calculation results with new data with a total of 500 training data and 50 test data, obtained 38 correct data and 12 incorrect data with a percentage of precision 61.29%, recall 100% and accuracy 76%.
Highlights
North Maluku Province is geographically located at 0°2° North Latitude and 126°-128° East Longitude
Ternate City and generally coastal areas in North Maluku Province have a tropical climate type that is influenced by the marine climate which is usually heterogeneous according to general indications of a tropical climate
One approach used in predicting the potential for rain is to utilize the concept of data mining
Summary
North Maluku Province is geographically located at 0°2° North Latitude and 126°-128° East Longitude. Ternate City and generally coastal areas in North Maluku Province have a tropical climate type that is influenced by the marine climate which is usually heterogeneous according to general indications of a tropical climate. This area is known for its two seasons, namely north-west and east-south which are often interspersed with two transition periods each year. One approach used in predicting the potential for rain is to utilize the concept of data mining. Calculations can be made to predict the condition or value of the weather variable you want to know, for example the level of
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