PREDICTING AND ANALYZING SALES PT. MITRA ASIA SYNERGY USING LINEAR REGRESSION METHOD

PRASTYO, HERMAWAN ANDHI (2019) PREDICTING AND ANALYZING SALES PT. MITRA ASIA SYNERGY USING LINEAR REGRESSION METHOD. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

The problem in this project is about inventory. For exporters, it is certainly very difficult to know the inventory of goods that must be prepared every month. If one provides goods inventory, it will hamper the sale of goods. Also the types of goods sold are very varied, making it difficult to see how much inventory must be prepared for one type of item. For this reason, it requires a sales prediction per item. So that it knows the estimated inventory of goods that must be prepared. One of the predictions used is Linear Regression. In addition, statistical calculations are needed to analyze inventory. With these two calculations, it will facilitate decision making for inventory items to be exported. The final result of this project is knowing how accurate the results of predictions are with actual data. Also displays a linear graph to see the results of prediction of inventory and analyze inventory. Keyword: Linear Regression, Statistics, Export

Item Type: Thesis (Other)
Subjects: 600 Technology (Applied sciences) > 650 Management > 658 Management > Sales promotion
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 10 Jul 2019 08:04
Last Modified: 02 Nov 2020 04:21
URI: http://repository.unika.ac.id/id/eprint/19638

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