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

Authors

  • Rifqi Hammad Universitas Bumigora
  • Veny Cahya Hardita STMIK Palangkaraya
  • Muhammad Zulfikri Universitas Bumigora
  • Eka Wahyu Sholeha Politeknik Negeri Tanah Laut

DOI:

https://doi.org/10.33020/saintekom.v12i1.240

Keywords:

Apriori, Data Mining, Assosiation, Taletan Ijo

Abstract

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.

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Published

02-03-2022

How to Cite

Hammad, Rifqi, Veny Cahya Hardita, Muhammad Zulfikri, and Eka Wahyu Sholeha. 2022. “PENERAPAN METODE APRIORI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN PEMBENTUKAN PAKET PENJUALAN BIBIT BUAH”. Jurnal Saintekom : Sains, Teknologi, Komputer Dan Manajemen 12 (1):58-68. https://doi.org/10.33020/saintekom.v12i1.240.

Issue

Vol. 12 No. 1 (2022): March 2022

Section

Articles

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Copyright (c) 2022 Rifqi Hammad, Veny Cahya Hardita, Muhammad Zulfikri, Eka Wahyu Sholeha

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