CD Skripsi

PENERAPAN DATA MINING DENGAN ALGORITMA EQUIVALENCE CLASS TRANSFORMATION (ECLAT) DALAM MENENTUKAN POLA PEMBELIAN ITEM UNTUK MENDUKUNG STRATEGI PENJUALAN PADA WARUNG AL-ITTIHAD

---

Retail business is a common type of enterprise that provides goods to meet daily
needs. A daily necessities store has difficulty with the sale of slow-moving products.
These products have a large stock with expiration dates approaching. The store
accumulates a large amount of transaction data daily. This data can be analyzed
using data mining, a series of processes to uncover valuable information that is not
manually recognizable by extracting patterns from the data. One of the tasks in data
mining is association techniques. To address this issue, the Eclat Algorithm was
used to identify frequently purchased products from transaction data. The collected
transaction data amounts to 68,954 transactions from January 2022 to October
2023. The study resulted in 10 recommendations for product bundling with less
popular items, up-selling, and cross-selling strategies. Each recommended product
underwent testing using Monte Carlo simulations. The simulation results indicated
an increase in sales for the majority of the recommended items.
Keywords: Association Technique, Eclat, Product Bundling, Up-Selling, CrossSelling

---

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

2007113794

Penerbit

Pekanbaru : Universitas Riau - F. Teknik - Teknik Elektro., 2024

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

2007113794

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

-

Pernyataan Tanggungjawab

GUNTUR

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar