Data Mining Penjualan Tanaman Hias dengan Algoritma APRIORI Pada Toko Flores Elishabet
DOI:
https://doi.org/10.30865/mib.v4i2.2110Keywords:
Data Mining, Apriori Algorithm, Ornamental PlantsAbstract
The application of data mining is very useful in the sale of ornamental plants and can affect the ups and downs of the sales turnover of ornamental plants, the many types of ornamental plants and types of flowers and their different names make people interested in ornamental plants confused in the search for ornamental plants to be purchased. The higher interest in purchasing ornamental plants makes the amount of data and information that needs to be known and explored efforts to find out which type of ornamental plant that has a lot of interest, usually people not only buy one type of ornamental plant, but there are also other types of ornamental plants that are also purchased. Apriori algorithm is an algorithm in data retrieval using association rules that aim to determine the associative relationship of a combination of items, data mining itself is a way of computerization in marketing strategiesReferences
P. de Groot, “The economics of global warming,†Int. Aff., vol. 69, no. 2, pp. 371–372, 1993.
Effendi Wahyono, “GO GREEN SEBAGAI SALAH SATU MODEL PENDIDIKAN KARAKTER,†Model Pendidik. Karakter, 2017.
Z. R. Anandhita, “ANALISIS ATAS DESAIN WEBSITE ECOMMERCE PADA ZGS GAME SHOP (Studi Kasus Pengguna Website Pada Mahasiswa Di Fakultas Ilmu Administrasi Universitas Brawijaya),†J. Adm. Bisnis, vol. 9, no. 1, 2014.
D. C. Hartini, E. L. Ruskan, and A. Ibrahim, “Sistem Pendukung Keputusan Pemilihan Hotel Di Kota Palembang Dengan Metode Simple Additive Weighting (SAW),†J. Sist. Inf., vol. 5, no. 1, pp. 546–565, 2013.
Y. Mahena, M. Rusli, and E. Winarso, “Prediksi Harga Emas Dunia Sebagai Pendukung Keputusan Investasi Saham Emas Menggunakan Teknik Data Mining,†Kalbiscentia J. Sains dan Teknol., vol. 2, no. 1, pp. 36–51, 2015.
J. Han, M. Kamber, and J. Pei, Data Mining Concepts and Techniques. .
N. Adha, L. T. Sianturi, and E. R. Siagian, “IMPLEMENTASI DATA MINING PENJUALAN SABUN DENGAN MENGGUNAKAN METODE APRIORI ( Studi Kasus : PT. Unilever),†Maj. Ilm. INTI, vol. 12, no. 2, pp. 219–223, 2017.
E. Buulolo, “Implementasi Algoritma Apriori Pada Sistem Persediaan Obat ( Studi Kasus : Apotik Rumah Sakit Estomihi Medan ),†Pelita Inform. Budi Dharma, vol. 4, no. Agustus 2013, pp. 71–83, 2013.
E. Buulolo, Data Mining Untuk Perguruan Tinggi, 1st ed. Yogyakarta: Deepublish, 2020.
S. Effendi and Tukiran, Metode Penelitian Survei, II. Jakarta: LP3ES, 2012.
D. N. Hidayat, “Dikotomi Kualitatif – Kuantitatif Dan Varian Paradigmatik Dalam Penelitian Kualitatif,†Scriptura, vol. 2, no. 2, pp. 81–94, 2009.
A. Nursikuwagus and T. Hartono, “Implementasi Algoritma Apriori Untuk Analisis Penjualan Dengan Berbasis Web,†Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 7, no. 2, p. 701, 2016.
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.
B. R. B. Purba, N. A. Hasibuan, G. L. Ginting, and S. Suginam, “Implementasi Algoritma Apriori Untuk Mencari Relasi Pada Transaksi Pembelian Alat-Alat Kesehatan,†JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 3, pp. 269–277, 2018.
D. Prasada, “KREATIF Jurnal Ilmiah Prodi Manajemen Universitas Pamulang, Volume 7, No 1 Juni 2019,†Kreat. J. Ilm. Prodi Manaj. Univ. Pamulang, vol. 7, no. 1, pp. 55–65, 2019.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).