Penerapan Data Mining Untuk Pembuatan Paket Promosi Penjualan Menggunakan Kombinasi Fp-Tree Dan Tid-List

Tamba, Saut Parsaoran; Tan, Albert William; Gunawan, Yudi; Andreas, Andreas

doi:10.37600/tekinkom.v4i2.309

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…FP-Growth adalah metode yang dipakai untuk mengekstrasi pola-pola yang banyak muncul pada transaksi penjualan. Algoritma FP-Growth dikatakan memiliki performa terbaik [7]. FP-Growth digunakan dalam mencari itemset yang muncul terbanyak dalam dataset [8].…”

Section: Pendahuluanunclassified

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Penerapan Algoritma FP-Growth untuk Menentukan Strategi Promosi Berdasarkan Waktu dan Pembelian Produk

Wilrose,

Afdal,

Monalisa

et al. 2023

bits

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Sales is the main activity in every business. In making business decisions, sales patterns can be used to provide useful information such as strategies for promotion. Wandri Mart is a business engaged in the sale of products or goods commonly referred to as minimarkets in the city of Payakumbuh. In conducting promotional strategies, the owner of Wandri Mart does not know when to do promotions and what promotions are needed in order to increase sales. The purpose of this study is to obtain purchasing patterns related to the time of purchase and the type of goods purchased, so that a more effective promotional strategy can be developed. The method used by researchers is data mining techniques with the FP-Growth algorithm. The data used was taken as much as 5471 sales transaction data for 1 year. The results of this study indicate that the FP-Growth algorithm can be used to determine association rules using a minimum support of 1%, 2%, 3% and a minimum confidence of 10%. Experiments using Minimum Support 1% and Minimum Confidence 10% have the highest lift ratio value and produce more rules compared to other experiments so that it is obtained if on Tuesdays in August, customers buy instant noodles and packaged drinks with 6% and 5% support respectively and 50% and 45% confidence respectively with a lift ratio of 1.75 and 1.59 respectively. The lift ratio means that the rules have high association accuracy, and this also has a positive impact on sales and can be used as useful information for Wandri Mart to increase sales

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Section: Pendahuluanunclassified

“…Promosi adalah cara yang dilakukan untuk menaikkan penjualan oleh perusahaan dan cara untuk produk dapat dikenal oleh pelanggan. Tujuan dari promosi adalah untuk mendorong konsumen membeli produk dan membangun loyalitas terhadap perusahaan [7] [23]. Promosi berguna untuk menggapai bermacam tujuan komunikasi dengan konsumen [15].…”

Section: Promosiunclassified

Penerapan Algoritma FP-Growth untuk Menentukan Strategi Promosi Berdasarkan Waktu dan Pembelian Produk

Wilrose,

Afdal,

Monalisa

et al. 2023

bits

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“…FP-Growth adalah algoritma data mining yang memiliki performa yang lebih baik dan lebih efisien bila dibandingkan dengan algoritma analisis asosiasi (hubungan antar penjualan barang), seperti apriori [11]. Algoritma FP-Growth merupakan pengembangan dari algoritma Apriori.…”

Section: Pendahuluanunclassified

Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online

Hafizh¹,

Novita²,

Guswandi³

et al. 2023

JTEKSIS

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In today's online technology, we have to learn various things so that we can adjust to social behavior, for example, buying and selling activities that cover all walks of life, now everyone doesn't hesitate to shop online. The online market is growing fast, especially in Indonesia. Anyone can sell and buy goods easily through online stores, so that people's purchasing power and sales increase due to the proliferation of online stores, XYZ stores are still beginners in terms of sales strategies so they try all efforts without careful preparation, one of the ways to do this is to expand its market coverage even to export goods abroad. the process of exporting goods in the current era is not a difficult thing to do, but it requires knowledge and preparation of a good strategy. from existing sales data can be analyzed to determine the right strategy in marketing goods. Data Mining is a science that helps analyze large amounts of data with the aim of gaining new knowledge that can be utilized. In Data Mining Analysis there is the FP-Growth algorithm which is a data mining technique for finding association rules from lots of data. This is known as the Association rule, where the rule will be determined from the minimum support and confidence results. the rules that are formed produce 10 rules out of 51 existing data, these rules help determine the export sales strategy at the XYZ store.

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“…Adapun upaya atau teknik yang dilakukan dalam pengumpulan data yaitu sebagai berikut : 1. Observasi Observasi merupakan pengamatan langsung ke tempat penelitian [13] di Ayam Presto Cabe Hijo untuk memperoleh informasi yang dibutuhkan.…”

Section: Teknik Pengumpulan Dataunclassified

Implementasi Data Mining Untuk Menyusun Strategi Promosi Dalam Menetapkan Paket Menu Menggunakan Algoritma Apriori

Zunaidi,

Sari,

Marsaulina

2023

j.sains manaj. inform. dan kompʹût.

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AbstrakAyam Presto Cabe Hijo Cabang Medan merupakan perusahaan yang bergerak dibidang kuliner di Kota Medan. Namun kondisi perusahaan saat ini menurut evaluasi bulanan memiliki hasil pendapatan yang kurang maksimal, karena proses penjualan menu restoran yang ditawarkan kepada pelanggan kurang maksimal. Menu yang dijual kepada pelanggan di restoran tidak terjual secara merata. Menu yang tidak terjual habis mengakibatkan stock menu di restoran mengalami penumpukan bahan baku makanan, sehingga mengakibatkan kerusakan bahan makanan yang telah lama di stock. Sehingga di butuhkan solusi berupa pengelompokan data transaksi pelanggan yang dilakukan penambangan informasi. Cara ini dikenal dengan istilah data mining. Data Mining adalah suatu istilah yang digunakan untuk menguraikan penemuan pengetahuan didalam database atau sering disebut Knowledge Discovery in Database (KDD).Dari hasil penambangan tersebut, maka akan akan dibuat promosi paket menu dimana akan dilakukan penggabungan makanan dan minuman yang diminati oleh pelanggan dan yang kurang diminati, sehingga penjualan makanan dan minuman akan menjadi seimbang dan bisa meningkatkan penjualan. Dengan menggunakan algoritma apriori dapat mengetahui berapa banyak yang terjual makanan dan minuman yang muncul bersamaan dalam suatu transaksi.AbstractChicken Presto Cabe Hijo Medan Branch is a company engaged in the culinary field in the city of Medan. However, based on the monthly evaluation, the company's current condition is that revenue is not optimal, because the restaurant menu sales process offered to customers is not optimal. Menus sold to customers in restaurants are not sold evenly. Menus that are not sold out cause menu stock in restaurants to accumulate food raw materials, resulting in damage to food ingredients that have been in stock for a long time. So a solution is needed in the form of grouping customer transaction data carried out by information mining. This method is known as data mining. Data Mining is a term used to describe the discovery of knowledge in databases or often called Knowledge Discovery in Database (KDD). From the mining results a menu package promotion will be made that will combine food and beverages that are of interest to customers and those that are less desirable, so that food and beverage sales are balanced and can increase sales. By using the a priori algorithm, you can find out how much food and drink that is sold appears together in a transaction.

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Penerapan Data Mining Untuk Pembuatan Paket Promosi Penjualan Menggunakan Kombinasi Fp-Tree Dan Tid-List

Cited by 4 publications

References 6 publications

Penerapan Algoritma FP-Growth untuk Menentukan Strategi Promosi Berdasarkan Waktu dan Pembelian Produk

Penerapan Algoritma FP-Growth untuk Menentukan Strategi Promosi Berdasarkan Waktu dan Pembelian Produk

Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online

Implementasi Data Mining Untuk Menyusun Strategi Promosi Dalam Menetapkan Paket Menu Menggunakan Algoritma Apriori

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