CD Skripsi

Penerapanmetode Algoritma Apriori Untukmencari Pola Penjualan Obat Wajib Apotek (Owa) (Studi Kasus: Apotek Bina Farma)

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OWA inventory in a pharmacy has an important role in ensuring consumer needs are met. In addition to facing the constraints of OWA expiration dates at Bina Farma Pharmacy, another problem lies in recording sales transactions that are still carried out manually. Daily sales activities result in increasingly large piles of data, resulting in losses due to the presence of expired drugs in significant quantities. This encourages pharmacy owners to find strategies to increase OWA sales, namely by knowing the sales pattern of OWA products so that owners can implement the right steps to increase selling power. Sales transactions can be used to determine OWA sales patterns. Sales transactions can be processed into information by applying data mining methods with association rule techniques with a priori algorithms. The processing of OWA sales transaction data as many as 236 transaction data with a minimum support of 2 and a minimum confidence of 15% resulted in 16 association rules. In lifting ratio testing, as many as 16 association rules that are valued at more than 1 mean that there is a dependence between antecedent and consequent so that the rule can be used as a prediction of the emergence of an OWA caused by the emergence of other OWA and can be used as a reference in OWA product recommendations.

Keywords: Apriori, Association Rule, Data Mining, Market Basket Analysis, OWA, PHP.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803124334

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803124334

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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