Penerapan Data Mining Terhadap Penjualan Pipa Pada Cv. Gaskindo Sentosa Menggunakan Metode Algoritma Apriori

Oktaviani, Anggi; Napitupul, Golda Tm; Sarkawi, Dahlia; Yulianti, Ita

doi:10.34288/jri.v1i4.96

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…Support is a parameter that proves the level of dominance of an item/itemset from the total transactions. Confidence is a parameter that describes the relationship between two items conditionally (Oktaviani, TM Napitupul, Sarkawi, & Yulianti, 2019). The apriori algorithm finds each rule in the association method that has met the minimum support and confidence requirements.…”

Section: Algorithmmentioning

confidence: 99%

Sales Level Analysis Using the Association Method With the Apriori Algorithm

Samuel¹,

Sani

Budiyantara³

et al. 2022

J. Ris. Inform.

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The company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. To overcome the problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application used to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database (KDD) approach. Thus, the company can determine consumer habits in buying goods derived from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were obtained, of which the best were PN 0441, SK 0175 ⇒ SK 0530 and SK 0175, SK 0283 ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are categories that are often bought together.

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Section: Algorithmmentioning

confidence: 99%

Sales Level Analysis Using the Association Method With the Apriori Algorithm

Samuel¹,

Sani

Budiyantara³

et al. 2022

J. Ris. Inform.

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“…Setiap hari data transaksi penjualan di Indomaret semakin bertambah banyak sehingga data tersebut menumpuk (Susilo, 2018), Namun data ini seringkali diperlakukan hanya sebagai rekaman tanpa pengolahan lebih lanjut sehingga tidak mempunyai nilai guna lebih untuk bisa dimanfaatkan dengan baik. Untuk mengatasi masalah yang ada penulisan menggunakan metode Apriori (Oktaviani, TM Napitupul, Sarkawi, & Yulianti, 2019). Analisis dari tiap koleksi data tersebut akan menghasilkan pengetahuan atau informasi, misalnya berupa pola dan kaidah asosiasi yang terjadi pada data.…”

Section: Pendahuluanunclassified

Analisis Pola Penjualan Dengan Menggunakan Algoritma Apriori Pada Koperasi Karyawan Yayasan Anakku

Darmawan¹,

Kristiana²

2019

jri

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The Anakku Foundation Cooperative is a multi-business cooperative consisting of shop businesses, savings and loans, and student shuttle services. Every sale of stuff services will be inputted data directly to each business unit. The Anakku Foundation Cooperative still has problems, including store transactions that cannot yet answer what items are often sold, when stock items are still difficult to determine the items that are still available or almost running out. Data mining techniques have been mostly used to overcome existing problems, one of which is the application of the Apriori algorithm to obtain information about the associations between products from a transaction database. Transaction data on school equipment sales at Cooperative Employees of Anakku Foundation can be reprocessed using Data mining applications so as to produce strong association rules between itemset sales of school supplies so that they can provide recommendations for item alignment and simplify the arrangement or strong item placement related to interdependence. The results are found that the highest value of support and confidence is if buying MUSLIM L1.5P1, so it would buy AL-IZHAR II LOGO with a value of 14.5% support and 79.5% confidence

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“…One way is to use all sales transaction data owned by the company itself The use of data contained in the information system to support decision-making activities, it is not enough to rely on operational data alone, but also requires a data analysis to extract important information contained therein. The decision makers are trying to take advantage of the data warehouse they already have to get useful information to help make decisions (Oktaviani et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Implementation of Apriori Algorithm Data Mining for Increase Sales

Alfianzah

Handayani²,

Murniyati

2020

SinkrOn

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Any company or organization that wants to survive needs to determine the right business strategy. The product sales data carried out by Lakoe Dessert Pondok Kacang will eventually result in a pile of data, so it is unfortunate if it is not re-analyzed. The products offered vary with a wide variety of products as many as 45 products, to find out the products with the most sales and the relationship between one product and another, one of the algorithms is needed in the data mining algorithm, namely the a priori algorithm to find out, and with the help of the Rapidminer 5 application, with a support value 2,4% and a confidence value 50%, products that customers often buy or are interested in can be found. This study used sales data for March 2020, which amounted to 209 transaction data. From the research, it was found that the item with the name Pudding Strawberry and Pudding Vanilla was the product most purchased by consumers. With knowledge of the most sold products and the patterns of purchasing goods by consumers, Lakoe Dessert Pondok Kacang can develop marketing strategies to market other products by analyzing the profits from selling the most sold products and anticipating running out or empty of stock or materials at a later date.

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Penerapan Data Mining Terhadap Penjualan Pipa Pada Cv. Gaskindo Sentosa Menggunakan Metode Algoritma Apriori

Cited by 9 publications

References 3 publications

Sales Level Analysis Using the Association Method With the Apriori Algorithm

Sales Level Analysis Using the Association Method With the Apriori Algorithm

Analisis Pola Penjualan Dengan Menggunakan Algoritma Apriori Pada Koperasi Karyawan Yayasan Anakku

Implementation of Apriori Algorithm Data Mining for Increase Sales

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