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PENERAPAN METODE APRIORI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN PEMBENTUKAN PAKET PENJUALAN BIBIT BUAH

Hammad, Rifqi Hardita, Veny Cahya Zulfikri, Muhammad Sholeha, Eka Wahyu

2022•Artikel Penelitian dan Pengabdian

Taletan Ijo is an online shop that sells fruit seeds. In carrying out its business processes, he utilizes a sales information system. The system is used to manage sales data. If the data is not used, it will lead to accumulation of data but lack of information. Taletan ijo uses the manual method in its product marketing strategy so that the strategy used is not quite right. Stored sales transaction data can be used as a reference in making marketing strategies such as making product sales packages. This study uses data mining methods, namely associations with a priori algorithms to process transaction data into information that can help support decisions in determining marketing strategies. The results of the study show that the lift ratio test results obtained are 3.2 which indicates that the value is valid with a minimum number of transactions of 10 and a confidence value of 80.

AprioriData MiningAssosiationTaletan Ijo

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ArticleOpen AccessMetadata saja

PENENTUAN POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI

Syahrir, Moch Rismayanti, Ria Wicaksono, Moh Arief

2021•Artikel Penelitian dan Pengabdian

Pharmacy is one of the businesses engaged in the health sector, especially product and services in improving public health. This service is carried out by a pharmacy manager in an effort to fulfill the duties and functions of pharmacy. This causes problems that occur in pharmacies, when search for drugs must be done by looking for one by one in transaction, because the pharmacy manager does not know sure the stock of drugs in the pharmacy. In addition, another problem is the arrangement of irregular drug layouts where the drug placement does not have a good standard layout. The method used in building this system is association with a priori on sales transaction data. then processed in a model to explore valuable information, as a policy standard in running a business. Application testing uses 3 minimum support and confidence values ​​so can get the rule and k-Itemset results from 3 different values.

Pattern DeterminationAssociation MethodApriori Algorithm

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IMPLEMENTASI METODE MARKET BASKET ANALYSIS (MBA) MENGGUNAKAN ALGORITMA APRIORI DALAM TRANSAKSI PENJUALAN (STUDI KASUS: KAFE RUANG TEMU)

SyahruRomadhon, Muhammad Kodar, Achmad

2020•Artikel Penelitian dan Pengabdian

Jakarta is one of the culinary attractions, many tourist attractions every year become creative in business. One of them is a cafe. Cafe Ruang Temu has sales transaction data but is not used to see associations between one product and another. In this case there needs to be a system for finding menu combinations by processing sales transactions. One of the data mining techniques is association rule or Market Basket Analysis (MBA) with apriori algorithm. Apriori algorithm aims to produce association rules to form menu combinations. The sales dataset for January 2019 to July 2019 is determined by the minimum support and minimum confidence values that have been set.  

data miningmarket basket analysisapriorikafe

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