SISTEM PENENTUAN STATUS PENDISTRIBUSIAN SEMEN
MENGGUNAKAN METODE NAIVE BAYES
(STUDI KASUS : PT SEMEN INDONESIA, TBK)
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Institusion
Universitas Muhammadiyah Gresik
Author
ISLAMI, DIMAS
Subject
Informatics Engineering
Datestamp
2019-07-23 04:03:53
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.
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.
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