CD Skripsi

Sistem Persediaan Obat Menggunakan Algoritma Frequent Pattern Growth Pada Apotek Rumah Sakit Universitas Riau Berbasis Web

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There is a sufficient inventory of medicines to serve patient requests is a very important factor for a pharmacy. Because unsufficient supplies will inhibit health services, this is cause by the inventory of needed medicine that are not available. There for, the amount of medicine inventory must always be considered so the patient request can be fulfilled. In managing medicine inventory at the University of Riau Hospital Pharmacy it still manually doing by using a supply card which results in a shortage of supplies so that health services become hampered. Therefore needed an application to recommend of medicine at the University of Riau Hospital Pharmacy. By utilizing data mining, then the authors make a medicine recomend system with one of method that used to find frequent itemset in a set of transaction data , that is FP-Growth Algorithm. This study aims to make a data mining application using association rules with the FP-Growth algorithm as a reference to determine the itemset to recommend the medicine at the Riau University Hospital Pharmacy. The data used in this study is the medicine transaction data out, so that the results is 7 of item will added to inventory with the highest 100% confidence is Nisagon Salf, Cetirizine, Bisturi, Spuit, Anastan, Metronidazole and Polofar Plus.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.119 (0037)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2019

Deskripsi Fisik

xiv, 79 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.119 (0037)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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