Investigating the Effect of Climate on National Rice Production using Machine Learning

Rizkyana Rizkyana (Politeknik Caltex Riau)
Yohana Dewi Lulu (Politeknik Caltex Riau)

Proceeding International Applied Business and Engineering Conference
2021: Proceeding International Applied Business and Engineering Conference 2021

This paper examines the influence of climate on national rice productivity using K-Mean Clustering through the Fact Constellation scheme. The research was conducted to see the effect of climate on national rice productivity, especially on the island of Sumatra. For the clustering, the popular machinelearning tool K-Nime was used whose visualization feature was principally useful to determine the patterns, dependencies, and relationships of rice yield on different climate and soil factors of rice production. Research shows that several climateComponents such as temperature, humidity and solar radiation have a very strong influence on national rice productivity.