ANALISIS POLA PENJUALAN DAN PREDIKSI PERMINTAAN PRODUK PARFUM TOKO KAYYASAH MENGGUNKAN MODEL FP-GROWTH DAN ARIMA
DOI:
https://doi.org/10.70746/jstunsada.v14i1.503Abstract
Penelitian ini menganalisis pola penjualan produk parfum dan meramalkan permintaan di Toko
Kayyasah menggunakan metode FP-growth dan ARIMA. Algoritma asosiasi FP-growth digunakan
untuk mengidentifikasi pola pembelian antar produk parfum. Selain itu, model forecasting seperti
ARIMA digunakan untuk meramalkan permintaan produk parfum berdasarkan data historis
penjualan. Data penjualan dari Toko Kayyasah dianalisis menggunakan algoritma asosiasi seperti
Fp-Growth untuk menemukan aturan asosiasi antar produk parfum yang paling relevan.
Selanjutnya, model forecasting seperti ARIMA (AutoRegressive Integrated Moving Average)
digunakan untuk meramalkan permintaan produk parfum berdasarkan data historis penjualan.
Hasil menunjukkan bahwa metode asosiasi efektif dalam mengungkap pola pembelian yang
signifikan, sementara metode forecasting memberikan prediksi akurat untuk permintaan produk
parfum. Penelitian ini berpotensi meningkatkan efisiensi manajemen persediaan dan pemasaran di
Toko Kayyasah.
References
This study analyzes the sales pattern of perfume products and forecasts demand at Kayyasah Store
using FP-growth and ARIMA methods. The FP-growth association algorithm is used to identify
purchasing patterns between perfume products. In addition, forecasting models such as ARIMA are
used to forecast demand for perfume products based on historical sales data. Sales data from
Kayyasah Store are analyzed using association algorithms such as Fp-Growth to find the most
relevant association rules between perfume products. Furthermore, forecasting models such as
ARIMA (AutoRegressive Integrated Moving Average) are used to forecast demand for perfume
products based on historical sales data. The results show that the association method is effective in
revealing significant purchasing patterns, while the forecasting method provides accurate
predictions for demand for perfume products. This study has the potential to improve the efficiency
of inventory management and marketing at Kayyasah Store
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