The Clustering of Paddy Fields Using Machine Learning Algorithms in the Province of South Sumatera
- https://doi.org/10.2991/assehr.k.200407.029How to use a DOI?
- paddy fields, clustering, machine learning, determining policies
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.
- © 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 - 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 - https://doi.org/10.2991/assehr.k.200407.029 ID - 2020 ER -