APLIKASI PERAMALAN PERMINTAAN BAHAN BAKU PADA PT. BABA RAFI INDONESIA DENGAN METODE PEMULUSAN EKSPONENSIAL WINTER (STUDI KASUS DAERAH SURABAYA)
Abstract: PT. Baba Rafi
Indonesia is a fast food franchise company, typical of the Middle East, which
is now more widely known. Besides the franchise, PT. Baba Rafi Indonesia also
provides raw materials to supply all outlets throughout Indonesia. Warehouse
which located in Surabaya can supply approximately 20 outlets. The large number
of outlets and demand for raw materials which are uncertain, make the Division
of Logistics warehouse in Surabaya often face problems in providing raw
material for franchises and outlets.
Problems can be solved by use the forecasting application to determine
the amount of raw materials that must be provided in Surabaya warehouse.
Forecasting application was made from data collection, data preparation, and
build application model. Based on the results of data collection, obtained
pattern of the data which is tend seasonal and trend so applications
forecasting use Exponential Smoothing Winter method. The next phase is
implementing and evaluating applications that have been designed, whether running
as expected or not.
Forecasting application that was created can help Logistics Division to
determine the amount of raw materials that must be provided in Surabaya
warehouse based on past demand data. Report of forecasting results and list the
amount of raw materials that must be purchased is expected to meet the demand
for franchise and independent outlets.
Penulis: Luci Anna Lumban
Gaol, A. B. Tjandrarini, Sulistiowati
Kode Jurnal: jptkomputerdd130183
