PREDICTION OF LPG GAS SUPPLY (NONSUBSIDY) USING LINEAR REGRESSION ALGORITHM METHOD

WIJAYA, BERNARDUS ANDREAS (2019) PREDICTION OF LPG GAS SUPPLY (NONSUBSIDY) USING LINEAR REGRESSION ALGORITHM METHOD. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Problems in this project regarding stock availability. Unstable price increases affect agents in calculating LPG availability, as well as changes in LPG demand making it difficult for agents to carry out procurement so that LPG distribution is disrupted. The Linear Regression algorithm can be used to predict. Predictions use parameters with the number of transactions per month and the number of items. so that you know the estimated prediction of the lpg stock inventory that must be prepared. With this calculation, it can be easier in making decisions for stocking lpg stock. the results of this project are to find out the accuracy and analyze the results of predictions with actual data and display a linear graph to see the results of prediction of inventory. Keyword: Elpiji, Regresi Linear, Prediksi

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 10 Jul 2019 08:03
Last Modified: 19 Nov 2020 02:22
URI: http://repository.unika.ac.id/id/eprint/19642

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