Research Article
Prediction of Determination of Rice Farming Production using the Naïve Bayes Method
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280524, author={Diana Laily Fithri and Noor Latifah}, title={Prediction of Determination of Rice Farming Production using the Na\~{n}ve Bayes Method}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={yield crop rice turnover criteria na\~{n}ve bayes}, doi={10.4108/eai.24-10-2018.2280524} }- Diana Laily Fithri
Noor Latifah
Year: 2018
Prediction of Determination of Rice Farming Production using the Naïve Bayes Method
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280524
Abstract
Agricultural crops of rice are the main products of agricultural production in Indonesia, many of the farmers do not have enough time to maintain their agricultural products. So that many of these farmers have poor crop production. The criteria used in determining the yield of rice crops are the sex of a farmer, level of education, type of work, position, monthly income, and age level of the farmer. But after the prediction using the Naïve Bayes method, the most dominant criterion in predicting the yield of rice crops is the level of education and occupation at work. Because of the higher job position, it is not necessarily a good agricultural product
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