Teknik Asosiasi Datamining Dalam Menentukan Pola Penjualan dengan Metode Apriori


  • Windah Sahara * Mail STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Sanjai Dekariski Saragih STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Agus Perdana Windarto STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • (*) Corresponding Author
Keywords: Datamining; Apriori Algorithm; Camping Tools; AM Camping

Abstract

Camping or what is commonly called camping is an activity that is carried out outside the room. This activity usually requires some equipment such as a carriel, tent, gas cylinder, stove, mattress, salamon jacket, and several other equipment. AM Camping is a shop that sells equipment camping. AM Camping has quite a lot of sales transaction activities. Sales transaction data can be used and processed into useful information to increase sales of equipment at AM Camping stores. The problem that often occurs in AM Camping stores is that the camping equipment needed by consumers does not exist or is out of stock because the owner does not pay attention to the camping equipment stock. To solve this problem, the authors use association datamining with a priori algorithm. Based on these results, it can be obtained that there are 8 rules that meet a minimum confidence of 50%, but because of the same itemset, only one rule is chosen so that the results of the itemset rules are 5 final rules, namely  if you buy a 60 L Carrier, then 94% most likely buy a Gas Cylinder, if you buy a flat stove, you are 89% most likely to buy a gas cylinder, if you buy a frem rope, then you have an 84% chance of buying a gas cylinder, if you buy a cuff, you are 73% most likely to buy a gas cylinder and if you buy a gas cylinder you are 67% likely to buy a rope frem. With this research, it is hoped that it can provide information to AM Camping shop owners in providing stock of camping equipment needed by consumers and to find out the combination of itemset from consumer purchases

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References

R. Saputra and A. J. P. Sibarani, “Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Pola Penjualan Obat,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 7, no. 2, pp. 262–276, 2020, doi: 10.35957/jatisi.v7i2.195.

G. Abdurrahman, “Analisis Aturan Asosiasi Data Transaksi Supermarket Menggunakan Algoritma Apriori,” Sist. Teknol. Inf. Indones., vol. 2, no. 2, pp. 100–111, 2017.

N. Fawaiq, H. Oktavianto, and B. H.P, “Analisa Association Rule Dengan Menggunakan Metode Algoritma Apriori Pada Penjualan Sparepat Otomotif Di Pt. Part Station Jember,” עלון הנוטע, vol. 66, no. 1997, pp. 37–39, 2013.

Y. Mardi, “Data Mining : Klasifikasi Menggunakan Algoritma C4.5,” J. Edik Inform., vol. 2, no. 2, pp. 213–219, 2017.

D. M. Sinaga, A. P. Windarto, and D. Hartama, “Pengelompokkan Indeks Harga Konsumen Menurut Kota Dengan Datamining Clustering,” pp. 328–336, 2019.

A. K. Wardhani, “Implementasi Algoritma K-Means untuk Pengelompokkan Penyakit Pasien pada Puskesmas Kajen Pekalongan,” J. Transform., vol. 14, no. 1, pp. 30–37, 2016.

M. G. Sadewo, A. P. Windarto, S. R. Andani, and Handrizal, “Pemanfaatan Algoritma Clushtering Dalam Mengelompokkan Jumlah Desa / Kelurahan Yang Memiliki Sarana Kesehatan Menurut Provinsi Dengan K-Means,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 1, no. 1, pp. 124–131, 2017, [Online]. Available: https://ejurnal.stmik-budidarma.ac.id/index.php/komik/article/view/483/424.

P. N. Harahap and S. Sulindawaty, “Implementasi Data Mining Dalam Memprediksi Transaksi Penjualan Menggunakan Algoritma Apriori (Studi Kasus PT.Arma Anugerah Abadi Cabang Sei Rampah),” Matics, vol. 11, no. 2, p. 46, 2020, doi: 10.18860/mat.v11i2.7821.

D. Listriani, A. H. Setyaningrum, and F. Eka, “Penerapan Metode Asosiasi Menggunakan Algoritma Apriori Pada Aplikasi Analisa Pola Belanja Konsumen (Studi Kasus Toko Buku Gramedia Bintaro),” J. Tek. Inform., Vol. 9, No. 2, Pp. 120–127, 2018, Doi: 10.15408/Jti.V9i2.5602.

D. M. Dwi Utami Putra And S. Budiono, “Penerapan Data Mining Pada Penjualan Tan’s Bakery Menggunakan Algoritma Apriori,” J. Teknol. Inf. Dan Komput., Vol. 3, No. 2, Pp. 164–174, 2018, Doi: 10.36002/Jutik.V3i2.294.

K. Tampubolon, H. Saragih, And B. Reza, “Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Alat-Alat Kesehatan,” Proc. Prehist. Soc., Vol. 32, Pp. 73–85, 1966, Doi: 10.1017/S0079497x00014341.

S. Al Syahdan And A. Sindar, “Data Mining Penjualan Produk Dengan Metode Apriori Pada Indomaret Galang Kota,” Data Min. Penjualan Prod. Dengan Metod. Apriori Pada Indomaret Galang Kota, Vol. 1, 2018.

P. H. Simbolon, “Implementasi Data Mining Pada Sistem Persediaan Barang Menggunakan Algoritma Apriori ( Studi Kasus : Srikandi Cash Credit Elektronic Dan Furniture ),” J. Ris. Komput., Vol. 6, No. 4, Pp. 401–406, 2019.

J. L. Putra, M. Raharjo, T. A. A. Sandi, R. Ridwan, And R. Prasetyo, “Implementasi Algoritma Apriori Terhadap Data Penjualan Pada Perusahaan Retail,” J. Pilar Nusa Mandiri, Vol. 15, No. 1, Pp. 85–90, 2019, Doi: 10.33480/Pilar.V15i1.113.

R. Yanto And R. Khoiriah, “Implementasi Data Mining Dengan Metode Algoritma Apriori Dalam Menentukan Pola Pembelian Obat,” Creat. Inf. Technol. J., Vol. 2, No. 2, P. 102, 2015, Doi: 10.24076/Citec.2015v2i2.41.


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