CD Skripsi

Penerapan Market Basket Analysis Terhadap Data Transaksi Menggunakan Algoritma Apriori

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ABSTRACT
The Zainab Hospital of Mother and Child is a health service company that serves every patient who comes for treatment. The Zainab Hospital of Mother and Child have a large amount of data. The data warehouse certainly produces an important information. Utilization of data is not enough just to rely on operational data, but a data analysis is needed to explore the potential of existing information. Therefore, the hospitals must develop variety of strategies in order to prepare stocks of items that are often sold and arrange for optimal placement of goods. One of the strategies that can be done is to analyze the pattern of drug purchases and give a recommendation of purchasing as well as the placement of drugs most many sold. The pattern of drug purchases is processed using the method of Data Mining and Apriori algorithm to analyze the association between drugs were purchased and determine the candidate combinations of drugs that are often purchased. Research is conducted on 6118 data transactions starting from July 1, 2021 to June 30, 2022 with the value of minimum support 4% and minimum confidence 70%. This research results in a combination of 6 rules of drugs, where if patient buy Mefenamic Acid 500mg, patient will buy Cefixime 200mg Cap with a support value of 0.0403 = 4% and a confidence value of 1 = 100%. The results of the interpretation of these rules can be used as a reference for placement recommendations that placed close together to make it easier for employees and help service.
Keywords: Apriori Algorithm, Association Rules, Data Mining, Hospital, Purchasing.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803113511

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803113511

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

Deti

Versi lain/terkait

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