@thesis{thesis,
		author={ISLAMI  DIMAS},
		title ={SISTEM PENENTUAN STATUS PENDISTRIBUSIAN SEMEN
MENGGUNAKAN METODE NAIVE BAYES
(STUDI KASUS : PT SEMEN INDONESIA, TBK)},
		year={2017},
		url={http://eprints.umg.ac.id/2106/},
		abstract={PT Semen Indonesia (Persero) Tbk is a company engaged in the field of
cement industry. PT Semen Indonesia (Persero) Tbk has 10 departments such as
Supply Chain Management (SCM). SCM Department handles the distribution of
cement distribution in the warehouse of each distributor. Determination of cement
distribution status in distributors' warehouse must be done wisely and targeted so
that the distribution of production becomes easier, timely and can be ascertained to
the consumer. Problems that exist on the part of SCM is to determine priority status
and not priority on distribution of cement in distributor warehouse. Based on these
problems, there needs to be a system that can help determine the priority status and
not the priority on the distribution of cement in the distributor's warehouse. The
method used is the naive bayes method, which is the classification of statistics that
can predict the probability of class membership. This naive bayes research will
yield information related to the warehouse of any cement distributor belonging to
the priority class group status rather than priority.}
		}