Rice Productivity Analysis by Province Using K-Means Cluster Algorithm

Rice Productivity Analysis by Province Using K-Means Cluster Algorithm

• By Supriyatna, Adi; Carolina, Irmawati; Widiati, Wina; Nuraeni, Cicih;
• Seminar Internasional
• 382
• 1-7

Rice (Oryza sativa L.) is a very important food crop in the world after wheat and corn. It is also a staple food for most of the world's population, especially in Asia, like in Indonesia until now. In 2014 to 2018, rice productivity tended to change dynamically. In 2018, rice productivity in Indonesia was 51.92 (Ku/Ha). This research was conducted to classify rice productivity in 34 provinces in Indonesia in 2018. The data used were sourced from Statistics Indonesia. The method or approach used in this study is the K-Means cluster algorithm to classify rice productivity data by province in 2018. The results of the research are; (1) There are 19 provinces included in cluster 0 (Medium), (2) There are 4 provinces included in cluster  1 (High), and (3) There are 11 provinces that are included in cluster 2 (Low). Based on the results of the study, it was proven that there were 4 provinces in cluster 1 (High) they are West Java, Central Java, East Java and South Sulawesi, with the highest rice productivity. Three of them were on Java Island. It shows that Java still dominates the productivity of rice plants

• Katakunci
• URL https://iopscience.iop.org/article/10.1088/1757-899X/771/1/012025/meta
• Penerbit ,

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