The Clustering of Paddy Fields Using Machine Learning Algorithms in the Province of South Sumatera

DOI

10.2991/assehr.k.200407.029How to use a DOI?

Keywords

paddy fields, clustering, machine learning, determining policies

Abstract

In this paper, we were clustering paddy fields in the province of South Sumatera using machine learning algorithms. We chose machine learning algorithms because this algorithm is very relevant to the problem to be studied. The contribution of this study is in the form of result from the clustering of paddy fields which used as input or consideration for the government in determining policies related to the farming area. Policies that can use the results of the clustering of paddy fields include determining the most appropriate area for expanding paddy fields in the province of South Sumatera. The results of clustering using machine learning techniques show the expansion of paddy fields could be done in 13 districts or as much as 76.4% of the total districts in the province of South Sumatera.

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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TY  - CONF
AU  - Suryati
AU  - Ahmad Sanmorino
AU  - Ermatita
PY  - 2020
DA  - 2020/04/10
TI  - The Clustering of Paddy Fields Using Machine Learning Algorithms in the Province of South Sumatera
BT  - Proceedings of the 3rd Forum in Research, Science, and Technology (FIRST 2019)
PB  - Atlantis Press
SP  - 171
EP  - 174
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200407.029
DO  - 10.2991/assehr.k.200407.029
ID  - 2020
ER  -