APLIKASI PREDIKSI PERMINTAAN BARANG PT. TELKOM AKSES MENGGUNAKAN SINGLE EXPONENTIAL SMOOTHING

TitleAPLIKASI PREDIKSI PERMINTAAN BARANG PT. TELKOM AKSES MENGGUNAKAN SINGLE EXPONENTIAL SMOOTHING
AuthorDedy Prasetyo Utomo
AbstractABSTRACT

PT. TELKOM AKSES is a service provider for the construction and management of network infrastructure. This
company is experiencing various obstacles in managing inventory. One of the problems commonly faced by
companies is how to predict future demand for goods based on previously stored data. This prediction is very
influential on the manager’s decision to determine the amount of demand for goods that must be provided by the
company. There are many methods that can be used in forecasting, the researcher adopts the method Single
Exponential Smoothing in predicting demand for goods. The system development method used is the method
Waterfall. The development of this item demand prediction application uses the framework Codeigniter. The
purpose of this research is to identify and analyze the result of the prediction of demand for goods using the
forecasting method Single Exponential Smoothing. The method Single Exponential Smoothing utilizes data
historical request for goods to perform forecasting. The results of this study have succeeded in making a goods
demand prediction Aplication PT. TELKOM AKSES using the method Single Exponential Smoothing. So that
users find it easier to determine the number of requests for goods that are suitable for use so that there is no
accumulation of goods
KeywordsMethod Single Exponential Smoothing, Codeigniter Framework, Waterfall.
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Issn2302-0709
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Created At7 Des 2021 11.47.40