Determination of Rice Quality Using the K-Means Clustering Method

Abstract

Rice is a staple and food that has a source of energy for people that has high carbohydrate content but low protein. Buyers are very fond of determining the quality of good rice. One of the indicators in determining the quality is rice which is often bought by buyers. This study aims to classify rice based on clusters, making it easier for buyers to know the quality of rice, and sellers can determine the right price for rice based on quality. The method used in this research is the K-Means Clustering of 30 rice data brands. The test results obtained 3 clusters, namely cluster 0 with very good quality as many as 12 brands of rice, cluster 1 with good quality as many as 12 brands of rice, cluster 2 with poor quality as many as six brands of rice. With this research, Bulog can find out the results of the quality of rice and can provide preventive action to reduce problems in determining the quality of rice.