CD Skripsi

Implementasi Algoritma Eclat Untuk Mengetahui Pola Penebusan Obat (Studi Kasus: Instalasi Farmasi Rsud Arifin Achmad Kota Pekanbaru)

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In today's digital era, data has become an important element in effective decision making. One health sector that requires data analysis is hospital pharmacy installations because it can provide valuable insights to improve efficiency and quality of service. Drug redemption patterns can provide valuable information. By analyzing these patterns, pharmaceutical installations can gain a better understanding of drug needs and optimize drug inventory management. And make recommendations for drug sales strategies based on this pattern so that they are in accordance with customer desires, thus facilitating accessibility. Sales transaction data is processed using data mining methods with association rule techniques with the Eclat algorithm. Processing sales transaction data of 4649 transaction data with a minimum item combination of 1 itemset and a maximum of 3 itemsets resulted in a total of 256 rules. Apart from producing rules, as well as sales strategy recommendations that can be implemented in the form of product placement strategies and drug stock optimization. Data processing is carried out using the Python programming language.
Keywords : Drugs, Redemption Patterns, Association Rule, ECLAT Algorithm

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1903155513

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1903155513

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

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