FORECASTING STOCK BARANG DENGAN METODE TRIPLE EXPONENTIAL (STUDY KASUS : MUNIRA SETIA)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
PAYSAL, SULTAN HABIBIE ALMUQNY ARIZALDY
Widiyanto, Max Teja Ajie Cipta
Djamain, Yasni
Widiyanto, Max Teja Ajie Cipta
Djamain, Yasni
Subject
Teknik Informatika
Datestamp
2022-09-20 03:52:16
Abstract :
Forecasting product release is one way to determineproduct stock in the warehouse. Sales forecasting aims to prevent stock accumulation in PT. Munira Setia?s warehouse. And if stock accumulation occurs it will affect the quality of selling products which are traditional snacks and kitchen spices The method applied to predict stock is Triple Exponential Smoothing because the data obtained is data based on stock expenditure. And the resulting output is the result of forecasting stock expenditures from the proccess of applying the Triple Exponential Smoothing method. The final result is obtained by entering the previous month?s expenditures data from January to November 2021. After the calculation, it will produce the accuracy value and the value of the forecasting method. Forecasting results in the following month, namely December 2021, are 161,4 with an alpha value of 0,2 and the error value in forecasting or MAPE 20.1%
Forecasting product release is one way to determineproduct stock in the warehouse. Sales forecasting aims to prevent stock accumulation in PT. Munira Setia?s warehouse. And if stock accumulation occurs it will affect the quality of selling products which are traditional snacks and kitchen spices The method applied to predict stock is Triple Exponential Smoothing because the data obtained is data based on stock expenditure. And the resulting output is the result of forecasting stock expenditures from the proccess of applying the Triple Exponential Smoothing method. The final result is obtained by entering the previous month?s expenditures data from January to November 2021. After the calculation, it will produce the accuracy value and the value of the forecasting method. Forecasting results in the following month, namely December 2021, are 161,4 with an alpha value of 0,2 and the error value in forecasting or MAPE 20.1%
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