ANALISIS POLA BELANJA PENGUNJUNG MAL DENGAN ALGORITMA APRIORI

  • Andri Agung Riyadi (1*) Program Studi Ilmu Komputer STMIK Nusa Mandiri

    • (*) Corresponding Author
DOI: https://doi.org/10.33480/pilar.v14i2.68

Keywords: Apriori Algorithm, Analysis Shopping Patern, Pola Belanja

Abstract

XYZ Mall was established in 2013 in the coastal area of Jakarta by offering advantages that other malls do not have, namely the location which is directly facing the sea or the bay of Jakarta. Tenants who are interested in opening a store or shop at XYZ Mall are also selected according to the needs of visitors. The application of the Apriori Algorithm is expected to assist in providing useful information for increasing the number of visitors and selling products from tenants in XYZ Mall. Implementations using the Apriori Algorithm can help management in decision-making policies regarding what is related to the acceptance of prospective tenants or the placement of tenant locations in the mall. In this work, the apriori algorithm was successfully applied in the search for shopping patterns of mall visitors. The results obtained with apriori algorithm, one of which is the highest combination of confidence is the pattern if spending in the General category tenants will spend in the Food And Beverage category tenant with a confidence of 50%.

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References

Kurniawati, A. (2014). PEMETAAN POLA HUBUNGAN PROGRAM STUDI DENGAN ALGORITMA APRIORI – STUDI KASUS SPMU UNNES. Edu Komputika Journal, 1(1), 51–58. Retrieved from https://journal.unnes.ac.id/sju/index.php/edukom/article/view/4123

Kusrini, & Luthfi, E. T. (2009). Algoritma Data Mining (1st ed.). Yogyakarta: Andi Publisher. Retrieved from http://andipublisher.com/produk-0907003050-algoritma-data-mining.html

Kusumo, D. S., Bijaksana, M. A., & Darmantoro, D. (2003). Data Mining Dengan Algoritma Apriori Pada RDBMS Oracle. Jurnal Penelitian Dan Pengembangan TELEKOMUNIKASI, 8(1), 1–5.

Rezkiani, R. (2016). IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MENENTUKAN MEREK SEPATU YANG DIMINATI PADA MAHASISWA PASCASARJANA KELAS 14.1A.01 STMIK NUSA MANDIRIJAKARTA. Konferensi Nasional Ilmu Pengetahuan Dan Teknologi, 2(1), 49–INF.56. Retrieved from http://konferensi.nusamandiri.ac.id/prosiding/index.php/knit/article/view/45

Riyadi, A. A. (2018). Laporan Akhir Penelitian Mandiri “Analisis Pola Belanja Pengunjung Mal Dengan Algoritma Apriori.” Jakarta.

Sari, E. N. (2013). ANALISA ALGORITMA APRIORI UNTUK MENENTUKAN MEREK PAKAIAN YANG PALING DIMINATI PADA MODE FASHION GROUP MEDAN. Pelita Informatika: Informasi Dan Informatika, 4(3). Retrieved from http://ejurnal.stmik-budidarma.ac.id/index.php/pelita/article/view/290

Tampubolon, K., Saragih, H., & Reza, B. (2013). Implementasi Data Mining Algoritma Apriori pada sistem persediaan alat-alat kesehatan. Informasi Dan Teknologi Ilmiah (INTI), 1(1), 93–106. Retrieved from http://www.academia.edu/download/44630249/Data_Mining_Apriori.pdf

Turban, E., Aronson, J. E., & Liang, T.-P. (2005). Decision Support Systems and Intelligent Systems (7th ed.). Yogyakarta: Andi Publisher.

Witten, I., & Frank, E. (2005). Datamining. Practical Machine Learning Tools and Technicals. https://doi.org/0120884070, 9780120884070
Published
2019-03-19
How to Cite
Riyadi, A. (2019). ANALISIS POLA BELANJA PENGUNJUNG MAL DENGAN ALGORITMA APRIORI. Jurnal Pilar Nusa Mandiri, 14(2), 195-200. https://doi.org/10.33480/pilar.v14i2.68
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Vol 14 No 2 (2018): Pilar Nusa Mandiri : Journal of Computing and Information System Periode September 2018
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