CD Skripsi

Rekomendasi Cross Selling Menggunakan Algoritma FP-Growth Pada Aplikasi Transaksi Penjualan Obat Di Apotek

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Abcstract
Many pharmacies still use manual recording, potentially leading to operational inefficiencies and errors. This study aims to develop a web-based drug transaction system with a cross-selling recommendation module using the FP-Growth algorithm. The system was implemented at Apotek Sehat and Apotek Rizki Pratama in Dumai. Methods included observation, interviews, and transaction data analysis with FP-Growth. The analysis results, with a minimum support of 0.001 and a minimum confidence of 0.1, successfully identified strong association rules, such as {Beneuron → Sopralan} (lift >12). This pattern is visualized in a dashboard to support cross-selling strategies. The system implementation has been proven to digitize transactions, reduce human error, and provide a basis for data-driven decision-making for pharmacy management. The system not only records transactions but also provides intelligent sales recommendations to increase efficiency and revenue.
Keywords: Cross Selling, FP-Growth, Data Mining, Pharmacy Application, Recommendation System.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2007113799

Penerbit

Pekanbaru : Universitas Riau – F.TEKNIK – INFORMATIKA., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2007113799

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK INFORMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

daus

Versi lain/terkait

Lampiran Berkas

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