Saputra, Arya (2020) SISTEM PREDIKSI PERSEDIAAN OBAT PADA APOTEK MENGGUNAKAN METODE NAIVE BAYES (Studi Kasus : Apotek Seger Waras, Cianjur). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
Pharmacy is a drug product sales service that is associated with customer satisfaction. Pharmacy has data on the distribution of pharmaceutical preparations, especially drugs with very much data. There are several obstacles in managing the drug supply at the pharmacy, one of which is the accumulation of drug stock because the product is not sold, while the transaction process occurs every day which causes overload in the storage warehouse. Goods that are not sold immediately will become expired and cause the pharmacy to suffer losses. In order to deal with this problem through the design of the Drug Supply System at the Pharmacy Using the Naive Bayes Method, it is hoped that the management of the drug at the pharmacy will be better at choosing products to sell. Presentation of this system can inform a drug that will be purchased whether it will be sold or not sold so that the pharmacy manager can be more selective in choosing the items to be purchased. The design of this system uses PHP as a programming language and MySQL as a database server and Microsoft Visio as a support for system design. Information displayed on this system is outgoing information, incoming goods information, and reminders of drug expiration periods. Keywords: Drug Supply System, Naive Bayes, Pharmacy
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 26 Mar 2020 06:34 |
| Last Modified: | 26 Mar 2020 06:36 |
| URI: | http://eprints.uty.ac.id/id/eprint/4874 |
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