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All Journal Jupiter Journal of Information Technology and Computer Science JMM (Jurnal Masyarakat Mandiri) Reswara: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Intelligent Networks and IoT Global
Verano, Dwi Asa
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Journal : Journal of Information Technology and Computer Science

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Implementation of Autoregressive Integrated Moving Average Model to Forecast Raw Material Stock in The Digital Printing Industry Verano, Dwi Asa; Husnawati, Husnawati; Ermatita, Ermatita
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3173.78 KB) | DOI: 10.25126/jitecs.202051117

Abstract

The technology used in the printing industry is currently growing rapidly. Generally, the digital printing industry uses raw materials in the form of paper production. The use of paper material with large volumes is clear badly in need of purchasing large quantities of paper stock as well. The purchase of paper stocks with a constant amount at the beginning of each month for various types of paper causes a buildup or lack of material stock standard on certain types of paper. During this time the purchase and ordering of raw materials only based on the estimates or predictions of the owner. In this paper proposed forecasting will be carried out in the digital printing industry by applying the ARIMA model for each type of raw material paper with the Palembang F18 digital printing case study. The ARIMA modeling applied will produce different parameters for each materials paper type so as to produce forecasting with the Akaike Information Criterion (AIC) value averages 13.0294%.
Co-Authors Ahmad Sanmorino Antony, Fery Dhamayanti, Dhamayanti Ermatita - Husnawati Husnawati Husnawati Oktarian, Ahmad Ridho Purnamasari, Evi Putri, Indah Pratiwi Rendra Gustriansyah Shinta Puspasari Tasmi