Open AccessPERBANDINGAN PERAMALAN PENJUALAN PRODUK AKNIL PT.SUNTHI SEPURIMENGGUANAKAN METODE SINGLE MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTING
Author(s) -
Nurul Hudaningsih,
Silvia Firda Utami,
Wari Ammar Abdul Jabbar
Publication year - 2020
Publication title -
jurnal informatika teknologi dan sains (jinteks)
Language(s) - English
Resource type - Journals
ISSN - 2686-3359
DOI - 10.51401/jinteks.v2i1.554
Subject(s) - exponential smoothing , sales forecasting , product (mathematics) , moving average , demand forecasting , statistics , production (economics) , operations research , econometrics , computer science , operations management , mathematics , economics , geometry , macroeconomics
Forecasting in the company is forecasting product sales to consumers. By knowing product sales can assist the company to provide materials to be produced and determine the production process itself. PT. Sunthi Sepuri is a pharmaceutical company. PT. Sunthi Sepuri often experiences marketing forecasting errors. This causes uncertainty in the amount of production so that it can cause employee productivity to decrease due to the increasing amount of production at any time. In this study demand forecasting will be held at PT. Sunthi Sepuri. This research apply the Single Moving Average and Single Exponential Smoothing methods, with the sample to be used is Aknil product, this product is a pain-relieving drug. Use the two methods to compare the most accurate forecasting methods and close to the actual value. The research methods start from gathering historical data, determining forecasting methods, forecasting calculations, determining the best method, and withdrawing conclusions. Based on the test results that the method that can be used to analyze data that has a small error rate is the Single Moving Average method. Forecasting results for July 2019 with the Single Exponential Smoothing method using ?: 0.8 are 408,488 caplets. As for July 2019, the Single Moving Average method is 466