PHARMACEUTICAL PRODUCTS SALES PREDICTION OF SARAS SEHAT PHARMACY USING SINGLE EXPONENTIAL SMOOTHING ALGORITHM

PURNAWAN, AGUSTINUS REZA (2019) PHARMACEUTICAL PRODUCTS SALES PREDICTION OF SARAS SEHAT PHARMACY USING SINGLE EXPONENTIAL SMOOTHING ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Saras Sehat Farmacy still uses manual (traditional) systems such as sales notebooks and drug stock records. This manual system has human error weaknesses such as inaccuracy, errors in recording and calculating drug sales, in contrast to computer systems that have more valid and accurate data. The prediction of selling pharmaceutical products with the help of a computer system can help the Saras Sehat Pharmacy in predicting the amount of stock of pharmaceutical products sold as well as the number of stock products needed. The pharmacy manager can estimate the amount of stock of pharmaceutical products needed to meet consumer needs and maintain good cooperative relations with suppliers of pharmaceutical products, judging from the results of predictions on the sale of pharmaceutical products from a particular month period. The prediction of selling pharmaceutical products uses the Single Exponential Smoothing method. There are 28 pharmaceutical products that will be predicted using the Single Exponential Smoothing algorithm with alpha from 0.1-0.9. To implement the Single Exponential Smoothing algorithm, an initial forecast value is required. Keyword: Single Exponential Smoothing, Prediction, Pharmacy, Stock, Sales

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 08:03
Last Modified:	02 Nov 2020 05:27
URI:	http://repository.unika.ac.id/id/eprint/19641

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