IMPLEMENTATION OF DATA MINING TO KNOW THE COAL QUALITY PREDICTION USING THE NAIVE BAYES METHOD (CASE STUDY: PT. BUKIT ASAM, TBK)
Daftar Isi:
- In an increasingly advanced era like today, the world is in need of technological development. Where with the existence of an increasingly sophisticated technology will be able to help humans make it easier to do a job that is being passed. With Data Mining, it can help a company to manage by providing a pattern and prediction and making it easier for leaders to make decisions in the future. In implementing this Data Mining, using the Naïve Bayes method. The Naive Bayes algorithm is used to find patterns that predict a production data that is in accordance with the factors contained in the data which will then be grouped to produce a coal quality in PT. Bukit Asam, Tbk. Then the results of the pattern is to provide information on the use of coal in the company to the leadership of PT. Bukit Asam, Tbk. This data mining is expected to support strategic decisions related to coal production plans and predictions that need to be taken, so that coal production can run well. The data and information generated also becomes more accessible and easier to understand.