Pemanfaatan Algoritma K-Medoids Clustering dalam Menentukan Pendapatan Bersih Komoditas Pertanian

  • Faisal Muhammad * Mail Universitas Raharja, Indonesia
  • Wiranti Sri Utami Universitas Cendekia Abditama, Indonesia
  • Muhammad Subali Universitas Cendekia Abditama, Indonesia
  • Janu Ilham Saputo Universitas Raharja, Indonesia
  • Haryanto Universitas Raharja, Indonesia
  • Martinus Gawi Tiga Universitas Raharja, Indonesia
DOI: https://doi.org/10.47065/bit.v7i2.2682
Keywords: Data mining;; Cluster K-Medoids;; Hasil Pertanian;

Abstract

Agricultural products are one of the sectors that have a major role in the Indonesian economy. Currently, Indonesia is the largest producer in the world that produces Palm Oil, Cloves, Cinnamon, Nutmeg, and many others. Abundant agricultural products can be applied to research using Data Mining techniques. Data Mining is a technique that applies statistical analysis and artificial intelligence in extracting useful information from a database. In this study the author will use the K-Medoids method, K-Medoids is one of the Data Mining techniques. Analysis of K-Medoids results uses the silhouette coefficient which is used to measure the distance between clusters. The objective value using K-Medoids cluster analysis on the dataset used is 5.742047 and 5.093438. After conducting cluster analysis with the silhouette coefficient, the best results obtained are 2 clusters from 12 data and 12 attributes.

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Published
2026-06-23
How to Cite
Muhammad, F., Wiranti Sri Utami, Muhammad Subali, Ilham Saputo, J., Haryanto, & Martinus Gawi Tiga. (2026). Pemanfaatan Algoritma K-Medoids Clustering dalam Menentukan Pendapatan Bersih Komoditas Pertanian. Bulletin of Information Technology (BIT), 7(2), 156 - 153. https://doi.org/10.47065/bit.v7i2.2682
Issue
Vol 7 No 2 (2026)
Section
Articles

Copyright (c) 2026 Faisal Muhammad, Wiranti Sri Utami, Muhammad Subali, Janu Ilham Saputo, Haryanto, Martinus Gawi Tiga

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