Analisis Algoritma Apriori Dalam Menentukan Pola Pemesanan Konsumen Pada Ucokopi
DOI:
https://doi.org/10.47065/jimat.v1i2.105Keywords:
Datamining; Apriori Algorithm; Food; Drink; UcokopiAbstract
Ucokopi is a business engaged in the sale of food and beverages for the general public. The menus are served in the form of snacks such as french fries, fried rice, sausages and so on, as well as various drinks processed at economical prices, especially for students and students. The large number of consumer orders everyday will increase the amount of transaction data. Existing data can be processed to determine the combination of food and beverage menu itemset that consumers often buy so as to produce important information. The problem that often occurs is the unavailability of consumer order menus which are classified as in demand. This research was conducted in Pematangsiantar city. The purpose of this study was to analyze a sales strategy through the association search process. Based on these results, it can be obtained that if you buy Ginger Milk, it is 100% most likely to buy Sausages, if you buy Milk Coffee, 88% are most likely to buy Penyet Chicken Rice, if you buy Sausages then 75% are most likely to buy Potatoes. It is hoped that the research results can provide information to Ucok Cafe business owners in providing food and beverage stocks that are most in demand and can adjust the menu placement based on a combination of menu itemset that is formed to increase sales.
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D. M. Sinaga, R. R, R. Alfah, A. P. Windarto, and A. Wanto, “Jurnal Sains dan Informatika,” J. Sains dan Inform., vol. 4, no. 1, pp. 129–135, 2018, doi: 10.22216/jsi.v4i1.
N. Nasution et al., “Application of ELECTRE Algorithm in Skincare Product Selection,” J. Phys. Conf. Ser., vol. 1471, no. 1, 2020, doi: 10.1088/1742-6596/1471/1/012066.
A. P. Windarto, “Implementasi Metode Topsis Dan Saw Dalam Memberikan Reward Pelanggan,” Klik - Kumpul. J. Ilmu Komput., vol. 4, no. 1, p. 88, 2017, doi: 10.20527/klik.v4i1.73.
D. M. Sinaga, A. P. Windarto, and D. Hartama, “Pengelompokkan Indeks Harga Konsumen Menurut Kota Dengan Datamining Clustering,” pp. 328–336, 2019.
M. Anjelita, A. P. Windarto, and A. Wanto, “Analisis Metode K-Means Pada Kasus Ekspor Barang Perhiasan Dan Barang Berharga Berdasarkan Negara Tujuan Mawaddah,” Semin. Nas. Sains Teknol. Inf., vol. ISBN: 978-, pp. 476–482, 2019.
M. Anjelita, A. P. Windarto, A. Wanto, and I. Sudahri, “Pengembangan Datamining Klastering Pada Kasus Pencemaran Lingkungan Hidup,” Semin. Nas. Teknol. Komput. Sains, pp. 309–313, 2020.
A. P. Windarto, S. Tinggi, I. Komputer, and T. Bangsa, “Implementation of Data Mining on Rice Imports by Major Country of Origin Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method,” no. November, 2017, doi: 10.29099/ijair.v1i2.17.
P. Windarto, P. Studi, M. Informatika, P. Studi, and S. Informasi, “MENDORONG LAJU PERTUMBUHAN EKONOMI,” vol. 04, no. 02, pp. 184–197, 2017.
A. P. Windarto, M. R. Lubis, and L. R. Komprehensif, “IMPLEMENTASI JST PADA PREDIKSI TOTAL LABA RUGI KOMPREHENSIF IMPLEMENTATION OF NEURAL NETWORK IN PREDICTING TOTAL COMPREHENSIVE INCOME OF CONVENTIONAL COMMERCIAL BANKS USING,” vol. 5, no. 4, pp. 411–418, 2018, doi: 10.25126/jtiik.201854767.
A. Wanto and A. P. Windarto, “Analisis Prediksi Indeks Harga Konsumen Berdasarkan Kelompok Kesehatan Dengan Menggunakan Metode Backpropagation,” J. Penelit. Tek. Inform. Sink., vol. 2, no. 2, pp. 37–43, 2017.
Maryaningsih, Siswanto, and Mesterjon3, “Metode Logika Fuzzy Tsukamoto Dalam Sistem Pengambilan Keputusan Penerimaan Beasiswa,” J. Media Infotama, vol. 9, no. 1, pp. 140–165, 2013.
A. H. AGUSTIN, G. K. GANDHIADI, and T. B. OKA, “Penerapan Metode Fuzzy Sugeno Untuk Menentukan Harga Jual Sepeda Motor Bekas,” E-Jurnal Mat., vol. 5, no. 4, p. 176, 2016, doi: 10.24843/mtk.2016.v05.i04.p138.
A. H. Aji, M. T. Furqon, and A. W. Widodo, “Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor ( CF ),” vol. 2, no. 5, pp. 2127–2134, 2018.
M. Turnip, “Sistem Pakar Diagnosa Penyakit THT Menggunakan Metode Backward Chaining,” no. January 2015, 2017.
Nency Extise Putri, “Sistem Pakar Kerusakan Hardware Komputer Dengan Metode Forward Chaining,” J. Momentum, vol. 18, no. 2, pp. 53–59, 2016.
Moh.Sholik and A. Salam, “Implementasi Algoritma Apriori untuk Mencari Asosiasi Barang yang Dijual di E-commerce OrderMas,” Techno.COM, vol. 17, no. 2, pp. 158–170, 2018.
R. Rismanto, L. Darmawan, and A. Prasetyo, “Penerapan Algoritma Apriori Dalam,” vol. 04, no. 02, pp. 97–102, 2017.
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.
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.
M. P. Tana, F. Marisa, and I. D. Wijaya, “Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Pada Toko Oase Menggunakan Algoritma Apriori,” J I M P - J. Inform. Merdeka Pasuruan, vol. 3, no. 2, pp. 17–22, 2018, doi: 10.37438/jimp.v3i2.167.
Despitaria, H. Sujaini, and Tursina, “Analisis Asosiasi pada Transaksi Obat Menggunakan Data Mining dengan Algoritma A Priori,” Justin, vol. 4, no. 2, p. 6, 2016.
M. Yetri and S. Yakun, “Data Mining Untuk Analisis Pola Pemilihan Menu Pada Penang Corner Cafe Dan Resto Menggunakan Algoritma Apriori,” J-SISKO TECH J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 1, no. 2, pp. 114–123, 2018.
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