Brahmana : Jurnal Penerapan Kecerdasan Buatan
Vol 5, No 2 (2024): Edisi Juni

Penerapan Algoritma K-Means Dalam Clustering Data Seleksi Benih Kelapa Sawit Di PPKS Unit Marihat

Tambunan, Fazli Nugraha (Unknown)



Article Info

Publish Date
30 Jun 2024

Abstract

Oil palm is one of the most useful gardens in daily life. In addition to producing vegetable oil, oil palm seeds can also be marketed. In this study, palm oil seed data will be clustered using the K-Means method to determine the results of good seeds. Clustering means a method of analyzing data whose purpose is to group data with the same characteristics and characteristics in an area. While K-Means is a data analysis method or Data Mining method that performs unsupervised modeling process and is one of the methods that classify data with a partition system (division of an object into several parts with a specific purpose). The K-Means method seeks to group existing data into several groups, where data in one group has similar characteristics to each other and has different characteristics from data in other groups. In other words, this method tries to minimize the variation between data in a cluster and maximize the variation with data in other clusters.

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Journal Info

Abbrev

brahmana

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

Description

BRAHMANA: Jurnal Penerapan Kecerdasan Buatan adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari berbagai bidang Ilmu Kecerdasan Buatan. BRAHMANA: Jurnal ...