CD Skripsi

Aturan Asosiasi Menggunakan Algoritma Apriori Untuk Mendapatkan Pola Transaksi (Studi Kasus : Hotel D’lira)

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Hotel is one of the accommodation which is important element in tourism. D'Lira hotel is one of the hotels in Pekanbaru City, Riau. However, D'Lira hotel has a high probability of losing customers. Therefore, the hotel requires recommendation of business strategies that can be obtained from transaction data which is usually stored in the database. A collection of room rent transaction data can be obtained the information in the form of transaction patterns. The transaction pattern will be the basis of formulating strategic recommendations for owner representative of D'Lira hotel. Research is conducted on 3204 transactions data from January-December 2021 with the value of minimum support 2% and minimum confidence 60% used python programming language. The attribute data used are 6 items, namely room types with the bed sizes, extra bed, breakfast package, gender, regional origin, and customer profession. This research results in 6 association rules, where if the hotel customers is apparatus/state official and rent a deluxe room with double bed, then the customers is male with a support value 7.9% and a confidence value 60.38%. The results of these association rules can be used as a strategic recommendations that are appropriate for the hotel and expect to overcome the hotel problems and gain more income that will be obtained by D'Lira hotel.
Keywords: Apriori Algorithm, Association Rules, Data Mining, Hotel Transaction Pattern

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803124862

Penerbit

Pekanbaru : Universitas Riau –FMIPA–SISTEM INFORMASI., 2022

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803124862

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

nadya

Versi lain/terkait

Lampiran Berkas

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