Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)

Rice Production Modelling in Indonesia with the Spatial Autoregressive (SAR) Approach

Authors
Tuti Purwaningsih, Nur Hargita Padmarini
Corresponding Author
Tuti Purwaningsih
Available Online 11 October 2020.
DOI
10.2991/assehr.k.201010.030How to use a DOI?
Keywords
Rice Production, Crops, SAR, Clustering, Indonesia
Abstract

Rice production basically depends on the variable harvested area and yields per hectare, rice production can be increased if the harvested area has increased. In this study, a description of rice production and the factors that influence it from a regional perspective with a spatial weighting matrix, and modelling of rice production using the Spatial Autoregressive. The results showed that the spread of rice production in Indonesia has a pattern of clustering between regions that are close to one another. Based on the relationship of rice production with the variables that influence it, namely rice harvest area, paddy productivity, number of rice farmers, and paddy land area, it can be interpreted that similarities and differences in characteristics in each of the adjacent provinces can lead to an increase or decrease in rice production in Indonesia. The model used is the SAR (Spatial Autoregressive) model, and the results show that rice production in an area is influenced by rice harvested area and paddy field area.

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 2nd International Seminar on Science and Technology (ISSTEC 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 October 2020
ISBN
10.2991/assehr.k.201010.030
ISSN
2352-5398
DOI
10.2991/assehr.k.201010.030How 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  - Tuti Purwaningsih
AU  - Nur Hargita Padmarini
PY  - 2020
DA  - 2020/10/11
TI  - Rice Production Modelling in Indonesia with the Spatial Autoregressive (SAR) Approach
BT  - Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)
PB  - Atlantis Press
SP  - 207
EP  - 211
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201010.030
DO  - 10.2991/assehr.k.201010.030
ID  - Purwaningsih2020
ER  -