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All Journal Journal of Computer Scine and Information Technology
Alfin Andika Putra
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Sales and Inventory Prediction with the EOQ Method based on Single Exponential Smoothing Forecasting Alfin Andika Putra; Vicky Ariandi; Pradani Ayu Widya Purnama
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.66

Abstract

Along with the development of the era where technology is increasingly sophisticated as it is today, the needs are also increasing. Science and Technology also experienced drastic progress. Forecasting forecasting is a method for making estimates of future data by involving the use of past data in a systematic model form, and the forecasting method used is Single Exponential Smoothing. Planning for this EOQ method can minimize the occurrence of out of stock so that processes in a business are not disrupted and are able to save costs incurred due to the efficiency of inventory at the place of business concerned. Application of Supply Chain Management with data mining systems on CV. Amifa Keluarga Lestari can simplify the management of raw materials by implementing an SCM system which can reduce excess stock purchases. With the Single Exponential Smoothing method, you can predict the number of best sales for the following month in one period by looking at the smallest error. The calculation results show that the most economical order in one order is 1291 kilograms, and the total storage cost is Rp. 154,919 per Kilogram
Co-Authors Pradani Ayu Widya Purnama Vicky Ariandi