PENERAPAN SISTEM PREDIKSI PERMINTAAN SECARA DIGITAL UNTUK MENGETAHUI PENINGKATAN PENJUALAN TANAMAN DI KOMUNITAS PETANI BUNGA DESA BLABAK KEC. KANDAT KAB. KEDIRI

Abstract

A sale of interest that is not properly recorded will result in stock inventory or demand from buyers occurring in a vacuum. Flower farmers who are still on a small scale sometimes only use estimates subjective. So sometimes there is a buildup of certain types or shortages of other types of interest. With the application of technology, especially for the application of demand prediction systems, flower farmers can record well for sales, so they can predict demand with a system based on interest sales data. This demand prediction system does not only contain item predictions, but is a management information system that includes item data, sales entries, forecasting, changing photos and changing passwords. By implementing this system, it is expected that flower farmers can increase sales and help with plant businesses in the flower farming community of Blabak Village.