Rancang Bangun Aplikasi Peramalan Permintaan Pada Toko Roti Yulia Bakery Kediri

Abstract:  Yulia  Bakery  is  one  of  the  bakeries  in  Kediri.  The  problems  happens  when  there  is  a customer who wants to buy bread, but bread available at the store did not meet. This can lead to disappointment on the customer, so that Yulia Bakery  can lose customers. This happens because in determining  demand,  Yulia  Bakery  has  n ot  been  able  to  use  the  calculation  of demand but only based on estimates. The problem can be solved by calculating demand forecasting based on sales data  in  the  previous  period. Forecasting calculations using the method of Naive and  Exponential Smoothing  Winter because this method fits with the pattern of existing data. The method used can forecast  demand  for  the  next  two  periods .  Based  on  trial  results  and  the  evaluation  shows  that forecasting  application  that  has  been  created  can  perform  calculations  usi ng  two  methods  of forecast.  The best forecasting value used is selected from a method that has a relatively small error values using Exponen tial Smoothing Methods Winter.  Applications can predict future demand for the two periods with an error value of 106.881 .
Keywords:  Demand Forecasting, Exponent ial  Smoothing Winter, Naïve
Penulis: Lilia Puspasari, Sulistiowati, Julianto Lemantara
Kode Jurnal: jptkomputerdd150146

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