International Journal of Basic and Applied Science
Vol. 10 No. 2 (2021): September: Basic and Applied Science

A Oil Palm Harvest Grouping Using K-Medoids Algorithm

Dessy Dwi Angraini (STIKOM Tunas Bangsa)
M. Safii (STIKOM Tunas Bangsa)
Fitri Anggraini (AMIK Tunas Bangsa)



Article Info

Publish Date
30 Sep 2021

Abstract

Oil palm (Elaies Guinnnsiss Jacq) is one of the important industrial crops producing cooking oil, industrial oil, and fuel. Indonesia is the largest palm oil producer in the world. The rest of the processing of oil palm fruit is called janjang. Janjang also serves to be used as compost. The data that is processed in this research is the harvest data at PT. Surya Intisariraya Mandau. Data mining is the process of looking for patterns or information in selected data using certain techniques or methods. The processing steps are grouped using the K-Medoids method and then the data will be processed using RapidMiner tools. Where this grouping is done to minimize the amount of similarity of data and appropriate so that it becomes more valid data. This study aims to simplify the grouping of harvest data based on high, medium and low clusters.

Copyrights © 2021






Journal Info

Abbrev

ijobas

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics

Description

International Journal of Basic and Applied Science provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. ...