Abstract
The development of automotive industry in Indonesia can be classifiedas very rapid and annually increasing, causing highly competitive circumstances because many companies provide various types of motorcycle brands with quality and competitive prices. The company must create a marketing strategy pattern that can increase the level of sales efficiency of Yamaha motorcycle products. To overcome this problem, a strategy that can help increasing sales of motorcycle products is needed, in which by utilizing sales data owned by the company. Data mining can be used to process company sales data by looking for association rules with apriori algorithm on motorcycle product variables. From the results of the association rule analysis on sales data, with a minimum support of 30% and a minimum confidence of 75% can produce 3 rules with 3 products that are most in demand by consumers, namely the NEW MIOM3 CW, NEWAEROX155VVA and N-MAX, by knowing the most selling products, the company can add the most selling product supply and develop a marketing strategy to market the products with other products by examining the comparative advantage of the most sold products over the other products.
Highlights
Abstract−The development of automotive industry in Indonesia can be classifiedas very rapid and annually increasing, causing highly competitive circumstances because many companies provide various types of motorcycle brands with quality and competitive prices
create a marketing strategy pattern that can increase the level of sales efficiency of Yamaha motorcycle products
which by utilizing sales data owned by the company
Summary
Kendaraan sepeda motor merupakan salah satu transportasi yang banyak diminati masyarakat Indonesia. Jika data tersebut diolah dan dimanfaatkan menjadi informasi yang berguna dengan mencari pola penjualan produk sepeda motor, maka data ini bisa menjadi potensi yang menguntungkan bagi perusahaan dalam meningkatkan penjualan dan pemasaran produknya. Terdapat beberapa permasalahan yang muncul mengenai penjualan produk perusahaan sulit mendapatkan informasi strategis seperti tingkat penjualan per periode, dengan menganalisa data perusahaan khususnya data penjualan dengan data mining menggunakan metode algoritma apriori maka akan dapat membantu dalam penggalian data yang sudah lama terjadi dan dapat dijadikan sebagai referensi di dalam manajemen perusahaan [5]. Untuk mengetahui mobil Honda yang paling diminati oleh konsumen dibutuhkan teknik Data Mining dengan metode Algoritma Apriori, dan didukung Aplikasi Tanagra dengan meneliti data penjualan selama 1 tahun. Berdasarkan uraian latar belakang di atas, maka dapat dikembangkan sebuah implementasi data mining dalam menentukan pola penjualan produk sepeda motor Yamaha pada PT.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
