Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : IJISTECH

Comparison of Euclidean with Manhattan in K-Means Clustering for Grouping Palm Oil Production in the Province North Sumatra S Solikhun; Lise Pujiastuti
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.197

Abstract

North Sumatra is the largest palm oil-producing province in Indonesia. The region of North Sumatra has an extensive area of oil palm plantations compared to other provinces in Indonesia. To produce a good clustering of oil palm production using the K-Means Clustering method, it is necessary to compare several calculation methods to find the shortest distance in K-Means Clustering. This study focuses on comparing Euclidean Distance with Manhattan Distance on K-Means Clustering. To determine the best method of calculating the shortest distance, the researchers looked for the smallest Davies Bouldin Index (DBI). The smallest DBI value is at k=2 0.145. The result of grouping oil palm production in Sumatra province with k=2 is the high group being Asahan, Langkat and North Labuhanbatu regencies, while 30 other regencies/cities are in the low group