Hanif, Muhammad Muchtarul (2022) SISTEM MANAJEMEN STOK DAN PENJUALAN BARANG DENGAN PERAMALAN STOK BARANG MENGGUNAKAN METODE GOLDEN EXPONENTIAL SMOOTHING ( Studi Kasus : CV. ALGANI KARYA MANDIRI ). Undergraduate thesis, UPN Veteran Jawa Timur.
|
Text (Cover)
18081010060_Cover.pdf Download (874kB) | Preview |
|
|
Text (Bab1)
18081010060_Bab1.pdf Download (131kB) | Preview |
|
![[img]](http://repository.upnjatim.ac.id/style/images/fileicons/text.png) |
Text
18081010060_Bab2.pdf Restricted to Registered users only until 29 July 2024. Download (313kB) |
|
|
Text
18081010060_Bab3.pdf Restricted to Registered users only until 29 July 2024. Download (1MB) |
|
|
Text (Bab4)
18081010060_Bab4.pdf Restricted to Registered users only until 29 July 2024. Download (2MB) |
|
|
Text (Bab5)
18081010060_Bab5.pdf Restricted to Registered users only until 29 July 2024. Download (124kB) |
|
|
Text (Daftar Pustaka)
18081010060_Daftar_Pustaka.pdf Download (124kB) | Preview |
Abstract
At this time there are many types of businesses that have used information technology to support their business processes ranging from small, medium to large level businesses. Stock management is one of the business processes to avoid losses and create an effective and efficient company. Therefore, inventory management requires estimates or forecasts for inventory control. Forecasting is something that can help decision making to determine the stock of goods in the future period. This study uses the Golden Exponential Smoothing method which is a combination of the Double Exponential Smoothing method for forecasting and the Golden Section for optimizing the alpha value so that the results of the calculation are more accurate based on past data. The application of the Double Exponential Smoothing method uses 1 parameter, namely alpha (α). The algorithm training process produces a model with a small MAPE (Mean Absolute Precentage Error) value for forecasting methods. The Golden Exponential Smoothing method can adapt according to the situation. An example of a calculation on one stock of goods with a time span of seven periods based on the month produces the best model alpha (α) = 0.6150 with MAPE (Mean Absolute Precentage Error) of 6.55%.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||||||||
| Subjects: | T Technology > T Technology (General) | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Muhammad Muchtarul Hanif | ||||||||||||
| Date Deposited: | 29 Jul 2022 08:11 | ||||||||||||
| Last Modified: | 07 Mar 2024 03:29 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/8532 |
Actions (login required)
 |
View Item |