Implementasi Metode K-Means Clustering untuk Mengklasterikasikan Perangkat Elektronik dengan Teknik Pengolahan Citra

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Authors: Ryan Hadi Firmansyah, Agung Ramadhanu
Cited by: 0

Abstract

Grouping electronic devices such as computers, laptops, and smartphones will be very useful in situations where there are a large number of devices to manage, for example in companies, schools, or service centers. This study uses the k-means clustering method with image processing techniques through the Matlab application. The test data used was taken from the internet, consisting of 30 samples comprising 10 computers, 10 laptops, and 10 smartphones. In accordance with the existing dataset, clustering will be performed on three types of electronic devices, namely computers, laptops, and smartphones. After conducting various tests and model designs, the overall accuracy of the model is 100%. This research can cluster 30 samples consisting of 10 computer images, 10 laptop images, and 10 smartphone images. All samples used were taken from the internet.

Fields of Study & Subjects

Data Mining and Machine Learning Applications Advanced Clustering Algorithms Research Computer Science and Engineering

Publication details

Journal / source
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta
Volume
5
Issue
1
Pages
1–11
Publication date
8 January 2026