Algoritma Apriori Untuk Penentuan Assosiasi Penjualan Barang

Calvin Ivan Wiryawan, Yustina Retno Wahyu Utami, Didik Nugroho

Abstract


The increasing of selling basic needs make the company has to provide a lot of goods. The data will be growing up with increasing the transaction at Sari Bumi store. All this time, the selling basic needs at Sari Bumi Store unstructured well so that needed an application with produce important information that can decide marketing strategies. In this research, Apriori algorithm is used to determine association rules. This method was chosen because it is one of the classic data mining algorithms to look for patterns of relationships between one or more items in one dataset. A priori algorithms can help companies in developing marketing strategies. The result of this research is combination between 4 item set with a minimum support of 30% and minimum confidence of 60%.


Keywords


sale, staple, apriori algorithm

Full Text:

PDF

References


DAFTAR PUSTAKA

S. Sundari, “Analisa Penerapan Datamining Pada Penjualan Produk Oli Mesin Sepeda Motor Dengan Algoritma Apriori,” 2017.

B. Tampubolon, Saragih, Reza, “Implementasi Data Mining Algoritma Apriori pada sistem persediaan alat-alat kesehatan,” Inf. dan Teknol. Ilm., vol. 1, no. 1, pp. 93–106, 2013.

G. Agung P., HTML, PHP, dan MySQL untuk Pemula. Elex Media Komputindo, 2018.

M. F. Mundzir, PHP tutorial book for beginner.Yogyakarta: Notebook, 2014.

R.A. Sukamto dan M. Shalahuddin, Rekayasa Perangkat Lunak. Bandung: Informatika, 2013.

M. Ikhsan, M. Dahria, and Sulindawati, “Penerapan Associaton Rule dengan Algoritma Apriori Pada Proses Pengelompokan Barang di Perusahaan Retail,” Pros. SNIKOM, 2013.

D. K. Pane, “Implementasi Data Mining Pada Penjualan Produk Elektronik Dengan Algoritma Apriori (Studi Kasus : Kreditplus),” Pelita Inform. Budi Darma, vol. 4, no. 3, pp. 25–29, 2013.

R. Yanto, Robi dan Khoiriah, “Implementasi Data Mining dengan Metode Algoritma Apriori dalam Menentukan Pola Pembelian Obat,” Creat. Inf. Technol. J., vol. 2, no. 2, p. 102, 2015.

N. A. Hasibuan et al., “Implementasi Data Mining Untuk Pengaturan Layout,” vol. 4, no. 4, pp. 6–11, 2017.

E. Buulolo, “Implementasi Algoritma Apriori Pada Sistem Persediaan Obat (Studi Kasus : Apotik Rumah Sakit Estomihi Medan),” Pelita Inform. Budi Darma, vol. IV, no. 1, pp. 71–83, 2013.

D. Kusumo, Bijaksana, Darmantoro, “Data Mining Dengan Algoritma Apriori Pada Rdbms Oracle,” TEKTRIKA - J. Penelit. dan Pengemb. Telekomun. Kendali, Komputer, Elektr. dan Elektron., vol. 8, no. 1, pp. 1–5, 2016.

E. N. Sari, “Pakaian Yang Paling Diminati Pada Mode Fashion Group Medan,” Pelita Inform. Budi Darma, vol. 4, no. 3, pp. 35–39, 2013.

H. Setiawan, M. Hasbi, and R. T. Vulandari, “Kombinasi pembelian makanan pada toko roti menggunakan algoritma apriori,” J. Ilm. Sinus, vol. 1, no. 2, pp. 3–9, 2019.




DOI: http://dx.doi.org/10.30646/tikomsin.v9i1.538

Refbacks

  • There are currently no refbacks.


Editorial Office :
TIKomSiN : Jurnal Teknologi Informasi dan Komunikasi Sinar Nusantara
Published by STMIK Sinar Nusantara Surakarta
Address KH Samanhudi 84 - 86 Street, Laweyan Surakarta, Central Java, Indonesia
Postal Code: 57142, Phone & Fax: +62 271 716 500
Website: https://p3m.sinus.ac.id/jurnal/index.php/TIKomSiN
Email: tikomsin @ sinus.ac.id

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Stats of tikomsin