Analisa Penjualan Produk Retail Dengan Metode Data Mining Asosiasi

Prayitno, Mokhammad Hadi; Rasim, Rasim

doi:10.31599/jki.v18i3.273

Cited by 7 publications

(6 citation statements)

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“…Informasi rinci kemudian ditampilkan menggunakan grafik atau tabel. Drill down membuat informasi yang ditampilkan lebih rinci, sehingga lebih mudah untuk memahami apa yang ingin diketahui [7].…”

Section: Perancangan User Interfaceunclassified

Perancangan Dashboard Penjualan Untuk Family Makati Center

Chelsen

2023

jiksi

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Family Makati Center (FMC) is a branch of the HDI company in the Philippines. The HDI firm sells these beekeeping supplies separately. These products include supplements, personal care products and skin care that have undergone clinical trials and have health certificates from various relevant organizations. The goal of this thesis is to create a dashboard that displays a visualization of sales data. The data utilized is from the proprietor of the Family Makati Center (FMC) from August 2021 to August 2022. Prototyping is used in the dashboard design. The displayed data may then help businesses uncover specifics and comprehensive information about sales in a chart or graphic presentation. The end result of this design is a sales information reporting dashboard that allows owners to observe the progress of items sold each month and correctly regulate sales transactions.

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Section: Perancangan User Interfaceunclassified

Perancangan Dashboard Penjualan Untuk Family Makati Center

Chelsen

2023

jiksi

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“…Teknik data mining yang dapat digunakan untuk mendapatkan pola barang yang sering dibeli secara bersamaan adalah teknik asosiasi. Teknik asosiasi dalam data mining adalah menemukan aturan asosiasi yang memenuhi syarat minimum support dan minimum confidence [2] [3]. Pada teknik asosiasi membutuhkan algoritma pencarian hubungan barang sebelum membentuk aturan asosiasi.…”

Section: Pendahuluanunclassified

Aplikasi Data Mining Asosiasi Barang Menggunakan Algoritma Apriori-TID

Asana

Sudipa²,

Mayun³

et al. 2022

INFORMAL

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Information about consumer spending patterns is needed by retail companies in determining promotion strategies, placing merchandise on shelves, and inventory management. Most applications in retail companies only produce information from the company side. Applications owned by the company have not been able to generate transaction activity information from the customer side. The transaction activity information from the customer side is knowing consumer spending patterns in terms of buying goods. This information can overcome problems that are often faced by companies, namely customer complaints when there is a vacancy in inventory of pairs of goods that are often purchased by customers. This article describes the application of association data mining with the Apriori TID algorithm. Apriori-TID is a development of the Apriori algorithm. Apriori-TID plays a role in finding frequent itemsets based on minimum support. The application can generate goods association rules based on the minimum support and confidence values entered by the user. The association data mining application features dataset import, dataset analysis, and print analysis result reports. The association rules generated by the application are evaluated using the lift ratio method. The number of transactions, minimum support, and minimum confidence affect the number of rules generated by the application.

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“…Dalam analisis regresi variabel yang mempengaruhi disebut independent variable (variabel bebas) dan variabel yang mempengaruhi disebut dependent variable (variabel terikat). Jika dalam persamaan regresi hanya terdapat salah satu variabel bebas dan satu variabel terikat, maka disebut sebagai regresi sederhana, sedangkan jika variabelnya bebasnya lebih dari satu, maka disebut sebagai persamaan regresi berganda, Prayitno (2010).…”

Section: Analisa Regresi Linier Bergandaunclassified

Pengaruh Marketing Mix Terhadap Keputusan Pembelian Pada Kripik Singkong Ridho-Susi Silo Jember

Hamdani

Sumowo²,

Hermawan³

2022

growth-journal

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The development of industrial business in Indonesia is currently growing very rapidly. This can be seen by the number of industries that are competing to win the hearts of consumers, through improving product quality and others. This development also occurred because of market demand which began to soar after the pandemic. In running a business selling products in the form of goods or services, purchasing decisions are things that must really be considered because consumers are the main target in selling a product, one solution is to use the marketing mix or better known as the marketing mix. In the food and beverage sector, there are many kinds. Over time in the city of Jember, many food industry businesses have sprung up, one of which is the food chip industry, namely Ridho-Susi Silo Jember cassava chips. Where Ridho-Susi's cassava chips Silo Jember is one of the food industries that sells crispy snack products, which is currently experiencing a declining sales trend. The purpose of this study was to determine and analyze the product, price, promotion, location had a significant effect on purchasing decisions of cassava chips in Ridho-Susi Silo Jember. The population in this study were Ridho-Susi Silo Jember cassava chips consumers. The sample used was 80 respondents using a purposive sampling technique. The analysis tool uses multiple linear regression. The results showed that product, price, promotion, location had a significant partial and simultaneous effect on purchasing decisions for cassava chips in Ridho-Susi Silo Jember.

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Analisa Penjualan Produk Retail Dengan Metode Data Mining Asosiasi

Cited by 7 publications

References 0 publications

Perancangan Dashboard Penjualan Untuk Family Makati Center

Perancangan Dashboard Penjualan Untuk Family Makati Center

Aplikasi Data Mining Asosiasi Barang Menggunakan Algoritma Apriori-TID

Pengaruh Marketing Mix Terhadap Keputusan Pembelian Pada Kripik Singkong Ridho-Susi Silo Jember

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