Korelasi Antara Jenis Motor, Tipe Motor Dan Teknik Pemasaran Di PT. Daya Anugrah Mandiri
Keywords:
Apriori Algorithm, Correlation, Data Mining, Marketing, MotorcycleAbstract
The rapid development of technology makes data processing faster and more practical and increases competition in the business world to become more complex and competitive. Utilization of customer data makes management aware of the lack of efficiency of the work system in terms of motorcycle sales at this time. Correlation is a causal relationship to measure the strength of the two variables used. A system is needed to determine the right marketing technique in increasing motorcycle sales targets by applying Data Mining using the Apriori Algorithm method. The Apriori algorithm works by searching and finding association patterns among marketing techniques in motorcycle sales. So they can find and improve sales targets more efficiently.References
Agus P. Windarto, Irfan Sudahri, Hanifah Urbach Sari. 2022. “Analisis Jaringan Saraf Tiruan Dengan Backpropagation Pada Korelasi Matakuliah Pratikum Terhadap Tugas Akhir.†9(1): 115–21.
Hamid, Abdul, and Muhammad Kamal Zubair. 2019. “Implementasi Etika Islam Dalam Pemasaran Produk Bank Syariah.†BALANCA : Jurnal Ekonomi dan Bisnis Islam 1(1): 16–34.
Simbolon, Priska Hartinah. 2019. “Implementasi Data Mining Pada Sistem Persediaan Barang Menggunakan Algoritma Apriori ( Studi Kasus : Srikandi Cash Credit Elektronic Dan Furniture ).†Jurnal Riset Komputer 6(4): 401–6.
Lestari, Ade Fitria, and M Hafiz. 2020. “Penerapan Algoritma Apriori Pada Data Penjualan Barbar Warehouse.†INOVTEK Polbeng - Seri Informatika 5(1): 96.
Parhusip, F. 2019. “PEMANFAATAN DATA MINING PENEMPATAN BUKU PERPUSTAKAAN MENGGUNAKAN METODE ASSOCIATION RULE: Study Kasus: SMA Negeri 1 Sidamanik.†METHOMIKA: Jurnal Manajemen Informatika & … 3(1): 61–65.
Bangun, Tomi Darmawan et al. 2021. “Pengelompokkan Pola Persediaan Inventaris Sekolah Rakyat Pancurbatu Dengan Datamining Metode Apriori.†J-SISKO TECH (Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD) 4(2): 162.
Br Ginting, Amenta Ovilianda. 2021. “Penerapan Data Mining Korelasi Penjualan Spare Part Mobil Menggunakan Metode Algoritma Apriori (Studi Kasus: CV. Citra Kencana Mobil).†Journal of Information and Technology 1(2): 83–90.
Gumelar, A M, and M Akbar. 2020. “Implementasi Data Mining Pengambilan Keputusan Penentuan Korelasi Produk Berdasarkan Pola Transaksi Penjualan Menggunakan Algoritma Apriori.†Seminar …: 7–14. http://papersmai.mercubuana-yogya.ac.id/index.php/smai/article/download/59/53.
Hermanto, Hermanto, and Nailul Izzah. 2018. “Sistem Pendukung Keputusan Pemilihan Motor Dengan Metode Simple Additive Weighting (SAW).†Matematika Dan Pembelajaran 6(2): 184.
Hutahaean, Harvei Desmon, Bosker Sinaga, and Anastasya Aritonang Rajagukguk. 2016. “Analisa Dan Perancangan Aplikasi Algoritma Apriori Untuk Korelasi Penjualan Produk ( Studi Kasus : Apotik Diory Farma ).†JIPN(Journal of Informatics Pelita Nusantara) 1(1): 8. http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/149/70.
Ilham Budiman1), Sopyan Saori2), Ramdan Nurul Anwar3), Fitriani4) & Muhamamd Yuga, and Pangestu5). 2021. â€œæˆ´å¿—æ• 1 , 顾丽原 1 , è¯¸ç«¹å› 2.†35(2): 1–14.
Maulana, Algifanri, and Alfannisa Annurullah Fajrin. 2018. “Penerapan Data Mining Untuk Analisis Pola Pembelian Konsumen Dengan Algoritma Fp-Growth Pada Data Transaksi Penjualan Spare Part Motor.†Klik - Kumpulan Jurnal Ilmu Komputer 5(1): 27.
Perdana, Risky, Sigit Sigit, and M Ainul Yakin. 2021. “Menentukan Berapa Banyak Yang Terkena Penyakit Radang Kandung Kemih Menggunakan Metode Klasifikasi Naive Bayes Di Aplikasi Weka.†Jurnal MediaTIK 4(3): 134.
Prasetyo, Arfhan, Ricki Sastra, and Numan Musyaffa. 2020. “Implementasi Data Mining Untuk Analisis Data Penjualan Dengan Menggunakan Algoritma Apriori (Studi Kasus Dapoerin’S).†Jurnal Khatulistiwa Informatika 8(2).
Ramadhan, Riski, and Endy Gunawan. 2019. “Sistem Aplikasi Inventory Sepeda Motor Pada … (Riski Ramadhan, Endy Gunawan) SISTEM APLIKASI INVENTORY SEPEDA MOTOR PADA DEALER YAMAHA SURYA PRIMA GAMBUT BERBASIS VISUAL.†: 1–56.
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).