Apriori Algorithm On Car Rental Analysis With The Most Popular Brands

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Leo Fernando Panjaitan Yopi Handrianto Achmad Nurhadi
Corresponding Author:
Yopi Handrianto | yopi.handrianto@gmail.com

Copyright (C):
Leo Fernando Panjaitan, Yopi Handrianto, Achmad Nurhadi

Abstract

Nowadays, vehicle rental has become a common function for companies that have busy operational activities. Every company in carrying out operational activities requires a vehicle that is always there when needed. PT. Agung Solusi Trans is a vehicle rental company that rents various vehicle brands commonly used by customers to rent vehicles. In addition, PT. Agung Solusi Trans is also difficult to get updated information regarding the level of sales per period. Therefore, we need a decision support system and a method that can be used to design a business strategy that can provide an efficient and effective information, namely data mining using the a priori algorithm association method. The researcher specializes in taking only vehicle types as research material by selecting fifteen brands, including Agya, Yaris, Sienta, Calya, Avanza, Innova, Rush, Vios, Altis, Camry, Fortuner, Alphard, Hi Ace, Voxy, and Hilux. In analyzing the data, the writer uses a priori algorithm calculation by testing the hypothesis of two variables between the value of support and the value of confidence. After that, apriori algorithm is calculated using Tanagra. Based on the analysis done by the author, that the brands most sought after by customers are Calya, Avanza, Hilux. From these results can be used by PT. Agung Solusi Trans to prepare vehicle brands that are widely leased by customers and increase brand inventory.

Keyword: Apriori Algorithms, Analysis, Brands

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How to Cite
PANJAITAN, Leo Fernando; HANDRIANTO, Yopi; NURHADI, Achmad. Apriori Algorithm On Car Rental Analysis With The Most Popular Brands. SinkrOn, [S.l.], v. 4, n. 2, p. 47-55, mar. 2020. ISSN 2541-2019. Available at: <https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10506>. Date accessed: 11 aug. 2020. doi: https://doi.org/10.33395/sinkron.v4i2.10506.
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