SISTEM PERAMALAN PENJUALAN TAS PADA TOKO FIRDAUS BAG BERBASIS WEB MENGGUNAKAN METODE MOVING AVERAGE

  • Siti Uswatun Khasanah S1 Teknik Informatika, Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari
  • Aries Dwi Indriyanti S1 Teknik Informatika, Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari
  • Anita Andriani S1 Teknik Informatika, Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari

Abstract

Sales of bags every year experience a rapid growth, especially for types of school bags, therefore many of
the bag shops that not only sell one type of school bag, but a variety of school bags, such as those that are
offered in Paradise Stores. Firdaus bag shop sells 17 types of school bags such as, ripper bags, alto bags,
character bags etc. The number of bag sales reaches more than 100 pcs per month from all types of bags,
but in making sales reports and reporting data the shop owner still uses a manual system. Asking the store
owner to have difficulty adding or subtracting bag data preparation data. The purpose of this research is
to study the bag selling system in the web-based paradise Bag Store. The data in this study use 17 types of
bags with the method used in this study is the method of moving average or moving average. Moving
average is one of the forecasting methods that uses time series data. The period used is period 6.
Forecasting errors can be calculated using the MAD and MAPE formulas. The results of this study are a
bag sales system in the following month. The bag sales data used are January to December 2018 with
moving averages. The result of applying the moving average method is forecasting in January 2019.
Forecasting the most bag sales in January 2019 is the sale of large ripper bags with a total of 127 pcs.
Forecasting The level of accuracy is generated using MAD and MAPE. MAD for alto palo bags is 5.83
while MAPE for alto palo bags is 58.02%.
Keywords: Sales, Moving Average, Forecasting Error

Published
2020-04-22