CD Skripsi

Implementasi Asosiasi Apriori Dalam Optimalisasi Persediaan Obat Pada Rumah Sakit Daerah Madani Pekanbaru

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The pharmacy installation is one of the vital parts of the service at Rumah Sakit Daerah Madani Pekanbaru. In pharmacy installation, the record of drug sales is solely done by using excel and there is no system that can predict drug inventory management based on information from those records. The management of drug inventory must be carried out optimally to prevent shortages or stockouts that could disrupt patient services. As a solution, the Apriori algorithm in data mining is used to find patterns in drug sales through frequent itemsets and association rules based on transaction data. With the total 1.600 data, this study uses a minimum support of 7 (2,73%) and a minimum confidence of 40%, resulting in 27 association rules with combinations of 2 (two) itemset and 3 (three) itemset as a priority guide for drug inventory management. This information helps prevent both the accumulation and shortage of medication. Efficient service will be created with optimal management of drug inventory. This system is designed using Visual Studio Code and MySQL as the database, and it is expected to support pharmacy installations in managing drug inventory more effectively in the future.
Keywords: Apriori Algorithm, Association Rules, Data Mining, Medicine Inventory

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003113165

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003113165

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

Mutia

Versi lain/terkait

Lampiran Berkas

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