Implementasi Algoritma Apriori Dalam Menentukan Penjualan Mobil Yang Paling Diminati Pada Honda Permata Serpong
DOI:
https://doi.org/10.30865/mib.v4i2.1496Keywords:
Data Mining, Apriori Algorithm, Tanagra Application, Car, HondaAbstract
The development of information technology is growing rapidly so that it enters various fields, the need for fast, accurate and accurate information is needed. But the fact is that high information needs are not balanced by the presentation of adequate information. Business development and competition are increasingly complex because consumers are very perspective making business people have to be smart in reading situations. So that business people can make a prediction of consumer interest to be used as a prediction of the company in making a decision, and change a strategy that is most appropriate for consumers. Decision makers try to utilize the available data warehouse, this encourages the emergence of new branches of science to overcome the extraction of information in very large amounts of data. To find out which Honda cars are most in demand by consumers, Data Mining techniques are required using the Apriori Algorithm method, and supported by the Tanagra Application by examining sales data for 1 year. Data Mining is an amalgamation of data analysis techniques, while Apriori Algorithm is the most frequently used method because it is very simple, easy and most widely proposed by some researchers, because there are two parameters namely Support Value and Confidence Value. Then the prediction results of the study found that Honda's car sales that most demanded by consumers were Brio Satya, HRV, Mobillio, Jazz, and CRVReferences
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.
R. Febrian, F. Dzulfaqor, M. N. Lestari, A. A. Romadhon, and E. Widodo, “Analisis Pola Pembelian Obat Di Apotek Uii Farma Menggunakan Metode Algoritma Apriori,†Semnasteknomedia Online, vol. 6, no. 1, pp. 1-2–49, 2018.
E. N. Salamah and N. Ulinnnuha, “Analisis Pola Pembelian Obat dan Alat Kesehatan di Klinik Ibu dan Anak Graha Amani dengan Menggunakan Algoritma Apriori,†J. Inf., vol. 2, no. 2, pp. 1–6, 2018.
N. A. Hasibuan et al., “Implementasi Data Mining Untuk Pengaturan Layout,†vol. 4, no. 4, pp. 6–11, 2017.
S. Sinaga and A. M. Husein, “Penerapan Algoritma Apriori dalam Data Mining untuk Memprediksi Pola Pengunjung pada Objek Wisata Kabupaten Karo,†J. Penelit. Tek. Inform., vol. 2, no. 1, pp. 49–54, 2019.
A. I. W. Dini Silvi Purnia, “Implementasi Data Mining Pada Penjualan Kacamata Menggunakan Algoritma Apriori Dini,†vol. 2, no. 2, pp. 31–39, 2017.
Indera, “Rancang Bangun Aplikasi Visualisasi Kamus Bahasa Lampung Berbasis Android,†J. Manaj. Sist. Inf. Dan Teknol., vol. 06, no. 1, p. 72, 2016.
F. A. Hermawati, Data Mining, I. Yogyakarta: Andi, Yogyakarta, 2013.
T. Hendra and A. S. Alfaris, “The Effect of Competency to Employee Performance in Fisheries and Marine Development of District Pelalawan,†Ekon. dan Bisnis, vol. 10, no. 4, pp. 68–73, 2019.
Rezkiani, “Implementasi Data Mining Dengan Algoritma Apriori Untuk Menentukan Merek Sepatu Yang Diminati Pada Mahasiswa Pascasarjana Kelas 14.1a.01 Stmik Nusa Mandiri jakarta,†KNIT-2 Nusa Mandiri, vol. 2, no. 1, pp. 49-INF.56, 2016.
M. Badrul, “Algoritma asosiasi dengan algoritma apriori untuk analisa data penjualan,†Pilar Nusa Mandiri, vol. XII, no. 2, pp. 121–129, 2016.
H. Widayu, S. Darma, N. Silalahi, and Mesran, “Data Mining Untuk Memprediksi Jenis Transaksi Nasabah Pada Koperasi Simpan Pinjam Dengan Algoritma C4.5,†Issn 2548-8368, vol. Vol 1, No, no. June, p. 7, 2017.
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).
