Design and Application of K-Means Method to Predict Sales at Arya Elektrik Stores

In a shop, the product is staple that sold and bought. There are products in store between sell well don't sell. Given this problem, it necessary to create system can classify sell, well, which was carried out at Arya Elektrik Store from March July 2022. The K-Means algorithm not affected by order of objects used. used, proven when author tries randomly determine starting point cluster center one start calculation. number memberships generated same using another object as for center. However, only affects iterations performed. purpose applications analyze sales method. With system, provide convenience benefits analyzing grouping Store, determining classifying selling very selling, less selling. method used collect data observation interviews. application, shop owners see results these products. So, if there look other alternatives so be sold.