Implementation of Data Mining Sales of Milk Using Apriori Algorithm Method

Chandra, Joni Eka; Dewi, Ketut Rini Astri

doi:10.1088/1757-899x/662/2/022077

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Consumer purchase patterns are forms of purchases made by someone or many people to get the desired item by making a purchase transaction. The master data is not only used as a company archive, but the data can also produce useful information to increase sales and product marketing strategies [4]. The number of items in a transaction that are not processed properly, because each transaction is certainly different item set owned.…”

Section: International Journal Information System and Computer Scienc...mentioning

confidence: 99%

The Application of Product Marketing Strategy Using an Association Rule Mining Apriori Method

Ananda

Salamah

2020

IJISCS

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In competition in the business world, it is necessary to find the right strategy that can be used in sales optimization. One strategy used in optimization is to determine the layout of the goods and keep the stock of goods available. Factors that influence the needs of market analysis is the level of frequency of consumers in buying an item. The number of transactions and data recording activities that still use the manual system, increasingly piling up only into expenditure and income records without any further processing. The method used in this analysis is the Apriori Algorithm which is commonly used in transaction data or commonly called Market Basket Analysis. Apriori algorithm is a type of association rule that can find a combination of items using two benchmarks, namely support and confidence. The concept of this association rule is to collect sales transaction data which will then be carried out by the mining process by determining the value of support and the value of trust. The results of this study can facilitate companies to increase sales turnover which refers to the results of processing sales transaction data using the Apriori Algorithm.

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Section: International Journal Information System and Computer Scienc...mentioning

confidence: 99%

The Application of Product Marketing Strategy Using an Association Rule Mining Apriori Method

Ananda

Salamah

2020

IJISCS

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“…The apriori algorithm applies two basic principles: all subsets of the frequent itemset must be systematic, and for every rare item, all supersets must also be infrequent (Hermina, Balajishankar, & Gopalakrishnan, 2022;Nuraeni et al, 2022). Apriori algorithms are generally used in the retail sector to determine sales patterns (Chandra & Dewi, 2019;Fitriah, Riadi, & Herman, 2023;Kurnia, Isharianto, Giap, Hermawan, & Riki, 2019;Santoso, 2021), consumer patterns (Panjaitan et al, 2019;Qisman, Rosadi, & Abdullah, 2021), and consumer behavior (Sussolaikah, 2021). Apart from retail, the Apriori algorithm is also used to analyze crime data (Mangara Wainana, Njuguna Karomo, Kyalo, & Mutai, 2020), DNA sequence pattern mining (Kanakaris, Karacapilidis, & Lazanas, 2019;Yang et al, 2020), detect malicious network traffic (Gao et al, 2020), identify behavioral phenotypes of loneliness and social isolation (Dorya et al, 2019), and detect diabetes (Mahboob Alam et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Market Basket Analysis Using Apriori Algorithm to Find Effective Fiscal Policy Mix with R Programming

Isnen Hadi Al Ghozali,

Arief Wibowo

2023

Decode

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Fiscal policy drives a country's economy and is the most effectivepolicy to restore a country's economy. When a recession occurs, the fiscal policy helps a country increase aggregate demand in the market for goods and services. This study proposes a fiscal policy mix that can be implemented based on historical data. So this research focuses on using association rules to assist decision-makers (regulators in adopting appropriate fiscal policies in the global VUCA (Volatility, Uncertainty, Complexity, Ambiguity) era. Therefore, an experimental research approach was used in this study to produce the best association rules. The research was carried out in six stages to obtain conclusions, namely problem identification in the research sample and literature review related to apriori algorithms, data collection, data pre-processing, parameter determination, research findings building a priori algorithms, and knowledge extraction formed from a priori algorithms. Based on the experimental results using the a priori algorithm, 657 rules were obtained with a minimum variation of two to six itemsets. Rule 6 produces an average value of the budget performance of 90.65. Rule 6 also says that the performance value of the budget can be increased by spreading out funding sources and ensuring that operational spending is as efficient as possible.

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Implementation of Data Mining Sales of Milk Using Apriori Algorithm Method

Cited by 2 publications

References 3 publications

The Application of Product Marketing Strategy Using an Association Rule Mining Apriori Method

The Application of Product Marketing Strategy Using an Association Rule Mining Apriori Method

Market Basket Analysis Using Apriori Algorithm to Find Effective Fiscal Policy Mix with R Programming

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