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(Peer Review + Similarity + Document) Rancang Bangun Data Warehouse dan R Studio Serta Pemanfaatanya dalam Peramalan Pola Konsumsi Masyarakat di Kabupaten Jember

Muharom, Lutfi Ali (2016) (Peer Review + Similarity + Document) Rancang Bangun Data Warehouse dan R Studio Serta Pemanfaatanya dalam Peramalan Pola Konsumsi Masyarakat di Kabupaten Jember. Fakultas Teknik Universitas Muhammadiyah Jember, Jember.

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Artikel Lutfi Ali_Rancang bangun data warehouse dan r studio serta pemanfaatannya dalam peramalan pola konsumsi masyarakat di Kabupaten Jember.pdf
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Plagiasi Lutfi Ali_Rancang bangun data warehouse dan r studio serta pemanfaatannya dalam peramalan pola konsumsi masyarakat di Kabupaten Jember.pdf
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Peer Review rancang Bangun data006.pdf

Abstract

As we know that we have to process and store the data recording well. Data
warehouse is one of data processing method that use to support the decissionmaking process. The data warehouse process started from colecting, selecting,
designing and uploading data in to data warehouse. In this research, we use the
data of SUSENAS from year of 1997 until 2012. We took the daily consumption data
(household expendature) to be proceed in data warehouse. The implementation
of web based R studio program can facilitate the users to acces R . R can be
accessed by any kind of devices which have browser and internet acces by any
kind of devices which have browse and internet acces. The connectivity of R
studio to data warehouse can be simplify the users to access and process the
data. As the result of consumption patterns (staple food) forecasting in jember, we
conclude that the best forecasting method for forecasting method for forecasting
using AR(1) model. The limited data collections caused the ensemble wouldn’t
become the best method , whereas, it should be the best method.

Informasi Item

Item Type Peer Review
Keywords/Kata Kunci Data Warehouse, R program, ARIMA, ARIMA Ensemble
Subjects 000 Computer Science, Information, & General Works > 004 Data Processing, Computer Science
Divisions Faculty of Engineering > Department of Informatics Engineering (S1)
Date Deposited 10 Sep 2019 10:16
Last Modified 14 Jul 2020 06:36
URI https://repository.unmuhjember.ac.id/id/eprint/2306

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