Application of data mining for Indonesian products export in South Korea using clustering: Indonesia Trade Promotion Center Busan
Catherin Pandin, Rifqi Fahrudin

Postgraduate of Information System Department, Universitas Komputer Indonesia

Abstract

This research purpose to classify data export products of Indonesia against South Korea. The clustering method used in this research is the K-Means method, in K-Means cluster has a good degree of accuracy. This research examines how the use of the K-means method in case studies export products Indonesia against South Korea. From the results of clustering using K-Means method based on the value of the USD and Kg, then the generated 3 (three) clusters with cluster values are high, medium and low. Based on those results suggest that K-Means method can be used for inventory control of product reference or as Indonesia Indonesia Trade Promotion Center (ITPC) in Busan to view any export products should be retained and what are the export products should be improved to be promoted in South Korea so as to increase the number of export products of Indonesia against South Korea.

Keywords: Export, Clustering, K-Means

Topic: Informatic and Information System

Link: https://ifory.id/abstract-plain/MYbFmdCPpUuf

Web Format | Corresponding Author (Catherin Rumambo Mogot Pandin)