Octaviani, Vincentia Indri (2023) Pembuatan Sistem Prediksi Penjualan dan Persediaan Barang Pada Bengkel Ivan Jaya Motor Menggunakan Metode Double Exponential Smoothing dan Economic Order Quantity (EOQ). Undergraduate thesis, UPN Veteran Jawa Timur.
|
Text (Cover)
19081010168_cover.pdf Download (955kB) | Preview |
|
|
Text (BAB I)
19081010168_Bab1.pdf Download (138kB) | Preview |
|
Text (BAB II)
19081010168_Bab2.pdf Restricted to Registered users only until 22 November 2025. Download (256kB) |
||
Text (BAB III)
19081010168_Bab3.pdf Restricted to Registered users only until 22 November 2025. Download (1MB) |
||
Text (BAB IV)
19081010168_Bab4.pdf Restricted to Registered users only until 22 November 2025. Download (1MB) |
||
|
Text (Bab V)
19081010168_Bab5.pdf Download (125kB) | Preview |
|
|
Text (Daftar Pustaka)
19081010168_Daftar_pustaka.pdf Download (130kB) | Preview |
Abstract
Ivan Jaya Motor Workshop is a business operating in the automotive sector. Apart from offering car service services, Ivan Jaya Motor also sells various brands of oil and car spare parts. However, in running its business, Ivan Jaya Motor Workshop still carries out the process of recording sales data and managing inventory manually. Sales data is still recorded by writing in notebooks and there are no scientific calculations in inventory management. The current order determination is only based on the number of requests for goods from the previous period and sometimes only refers to estimated calculations from the workshop owner so that the workshop does not have a definite reference regarding the number of goods that must be ordered and when to order goods. To overcome the problems faced, the Ivan Jaya Motor Workshop needs a sales and inventory prediction system. The aim is for the Ivan Jaya Motor Workshop to be able to predict optimal sales and inventory with the right amount, no shortage or excess for the coming period. The system created is web-based using Brown's Double Exponential Smoothing forecasting method with an alpha value of α = 0.1 which has the smallest forecasting error value according to the MAPE (Mean Absolute Precentage Error) indicator, namely 12.53508%, which means it is included in good forecasting because it is at intervals of 10% - 20%, while to optimally predict inventory, the Economic Order Quantity (EOQ) method is used. The data used in this research is historical data on sales of goods for the last 1 year. The system is tested using black-box testing. The results of this research show that the system runs according to the planned scenario.
Item Type: | Thesis (Undergraduate) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Contributors: |
|
||||||||||||
Subjects: | T Technology > T Technology (General) | ||||||||||||
Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
Depositing User: | Vincentia Indri Octaviani | ||||||||||||
Date Deposited: | 23 Nov 2023 03:56 | ||||||||||||
Last Modified: | 23 Nov 2023 03:56 | ||||||||||||
URI: | http://repository.upnjatim.ac.id/id/eprint/18787 |
Actions (login required)
View Item |