ISLAMI, DIMAS (2017) SISTEM PENENTUAN STATUS PENDISTRIBUSIAN SEMEN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS : PT SEMEN INDONESIA, TBK). undergraduate thesis, Universitas Muhammadiyah Gresik.
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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.
| Item Type: | Thesis (undergraduate) |
|---|---|
| Subjects: | Engineering > Informatics Engineering Engineering |
| Divisions: | Faculty of Engineering > Informatics Engineering Study Program |
| Depositing User: | Shandy Rahma Ramadhan, S.IIP |
| Date Deposited: | 23 Jul 2019 04:03 |
| Last Modified: | 23 Jul 2019 04:03 |
| URI: | http://eprints.umg.ac.id/id/eprint/2106 |
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