PENERAPAN MODEL AUTOREGRESIF INTEGRATED MOVING AVERAGE UNTUK MEMPREDIKSI STOK BAHAN BAKU PRODUKSI PADA INDUSTRI PERCETAKAN

VERANO, DWI ASA and Ermatita, Ermatita (2019) PENERAPAN MODEL AUTOREGRESIF INTEGRATED MOVING AVERAGE UNTUK MEMPREDIKSI STOK BAHAN BAKU PRODUKSI PADA INDUSTRI PERCETAKAN. Master thesis, Sriwijaya University.

	Text RAMA_55101_09042681519013.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (44MB) | Request a copy
	Text RAMA_55101_09042681519013_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (10MB) | Request a copy
Preview	Text RAMA_55101_09042681519013_0013096707_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (3MB) | Preview
	Text RAMA_55101_09042681519013_0013096707_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (203kB) | Request a copy
	Text RAMA_55101_09042681519013_0013096707_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (263kB) | Request a copy
	Text RAMA_55101_09042681519013_0013096707_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55101_09042681519013_0013096707_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (80kB) | Request a copy
	Text RAMA_55101_09042681519013_0013096707_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (35MB) | Request a copy
	Text RAMA_55101_09042681519013_0013096707_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (765kB) | Request a copy

Abstract

Technology in the field of digital printing is currently growing rapidly, there has been a lot of previous research that discussed the development of technology in the printing field so that it can improve and improve more optimal production results. In digital printing generally use raw materials in the form of paper production. The production process of the use of paper raw materials with a large volume clearly requires the purchase of large quantities of paper stock as well. Purchasing paper stock is always constant at the beginning of each month for various types of paper so that there is often a buildup and a lack of inventory of certain types of paper. During this time the purchase and ordering of raw materials is only based on the estimates or predictions of the owner. So, it would be better if the paper stock forecasting was done. In this study forecasting will be carried out using the ARIMA model for each type of paper raw material at the Palembang F18 digital printing press. The ARIMA modeling applied will produce different parameters on each paper so as to produce a plot diagram for forecasting results with an average AIC value of 13.0294%. The use of the ARIMA method is feasible if the data set used is not seasonal data.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Forecasting, Models, ARIMA, Paper Stock, Digital Printing
Subjects:	T Technology > T Technology (General) > T175-178 Industrial research. Research and development > T175 General works T Technology > T Technology (General) > T175-178 Industrial research. Research and development
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Users 1501 not found.
Date Deposited:	28 Aug 2019 06:16
Last Modified:	28 Aug 2019 06:16
URI:	http://repository.unsri.ac.id/id/eprint/4981

Actions (login required)

View Item