Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)

Implementation of Trend Moment Method in Egg Forecasting System in Sukamulia Farm

Authors
Pacu PUTRA, VINOLIA, Hardini NOVIANTY
Corresponding Author
Pacu PUTRA
Available Online 6 May 2020.
DOI
10.2991/aisr.k.200424.100How to use a DOI?
Keywords
trend moment, forecasting, egg
Abstract

The needs of the egg become a problem at certain times. Sukamulia Farm is one of farms that produces an egg in South Sumatra. By implementing Trend Moment Method in forecasting system, Sukamulia farm can predict how many of egg that is needed by the customer in a certain time. The trend moment method that used in this research is based on historical demand. As a result, this forecasting method can produce a recommendation quantity of purchase in fulfillment the need of broiler-egg by involving seasonal index. This study use Mean Square Error to analyze error of forecasting. The result of MSE of this study is 19399,5833

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
Series
Advances in Intelligent Systems Research
Publication Date
6 May 2020
ISBN
978-94-6252-963-2
ISSN
1951-6851
DOI
10.2991/aisr.k.200424.100How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pacu PUTRA
AU  - VINOLIA
AU  - Hardini NOVIANTY
PY  - 2020
DA  - 2020/05/06
TI  - Implementation of Trend Moment Method in Egg Forecasting System in Sukamulia Farm
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 661
EP  - 664
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.100
DO  - 10.2991/aisr.k.200424.100
ID  - PUTRA2020
ER  -