Implementasi Algoritma K-Means Clustering dalam Menentukan Blok Tanaman Sawit Paling Produktif

Abstract

PTP.Nusantara-IV (Persero) especially in the Marjandi Gardens located in Panombean Panei, Simalungun Regency is an Indonesian state-owned enterprise engaged in the plantation sector, one of which is Oil Palm. Among the many oil palm plantation blocks, there are productive and unproductive oil palm plant blocks. Unproductive blocks affect the profits of Marjandi Gardens in the production of Palm Oil. Therefore, it is necessary to conduct research to find out the most productive and unproductive blocks of Oil Palm Plants. This study was conducted in Afdeling III Marjandi Gardens with oil palm planting years 2005 and 2006. The method used was the K-Means Clustering method, the blocks were divided into 2 Clusters namely High Clusters for the most productive blocks and Low Clusters for unproductive blocks. Based on the research that has been done, the results obtained are the number of 14 blocks of the most productive oil palm plants, namely (BM, BN, BO, BP, BR, BY, CE, CF, CK, CY, DE, DF, DG) and 26 blocks of plants Oil palm is unproductive, namely (BL, BQ, BS, BW, BX, BZ, CA, CB, CD, CG, CL, CM, CN, CO, CP, CQ, CR, CS, CW, CX, DA, DB, DC, DD). It is expected that the company can develop the most productive oil palm block so that the quality of the oil palm plant blocks is always maintained. As for the unproductive oil palm plant blocks, the company can make repairs to produce a productive block of oil palm in the future.