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All Journal JUSIM (Jurnal Sistem Informasi Musirawas)
Layla layla
Universitas Bina Insan
Computer Science & IT Decision Sciences, Operations Research & Management

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PREDIKSI PENJUALAN KOPI PADA PT. KOPI CAP LESUNG LUBUKLINGGAU MENGGUNAKAN METODE SINGLE MOVING AVERAGE (SMA) Cindi Wulandari; M. Nur Alamsyah; Layla layla
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 7 No 2 (2022): JUSIM (Jurnal Sistem Informasi Musirawas) DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v7i2.1701

Abstract

The problem in this study is that it is difficult for PT. Kopi Cap Lesung to determine sales in the next period, because no one has predicted using the Single Moving Average (SMA). This study uses data collection methods by observing and recording directly at the research site (observation), conducting direct questions and answers to sources (interviews) and documentation by reading previous guidelines. The results of this study are the values ​​obtained for the next 3 years using the Single Moving Average method and for the error value MAD (Mean Absolute Deviation) Error Value of 25.280434782608694, Mean Square Error (MSE) Error Value of 10843.610677083334, and Error Mean Absolute Percentage Error (MAPE) of 5.638958229765874% less than 10% which obtained an accuracy rate of 95% which is implemented in the Python Programming Languagethat is google collab. which means the value is very good for predicting coffee sales. Keywords: Single Moving Average, Prediction, Python
Co-Authors Cindi Wulandari M. Nur Alamsyah