Jurnal Informasi dan Teknologi
2022, Vol. 4, No. 3

Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo

Syaputra, Aldo Eko (Unknown)
Eirlangga, Yofhanda Septi (Unknown)



Article Info

Publish Date
01 Sep 2022

Abstract

25 Coffee has increased sales every day. This situation causes service to consumers to be disrupted because raw materials often run out. Some consumers do not get good service and some even wait too long but do not get the desired item. This situation will cause consumers to be reduced because they move to another seller's place. So this research is carried out to predict sales in maintaining the availability of raw materials so that services are guaranteed and improved. The method used in this study is Monte Carlo by processing sales data in 2019, 2020, and 2021. The results of this study are able to predict the number of beverage sales in the following years with an average accuracy rate of 91%, in 2020 , and 89% in 2021. So this prediction becomes a reference material for 25 COFFE parties to make decisions and improve services.

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Journal Info

Abbrev

jidt

Publisher

Subject

Computer Science & IT

Description

Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari ...