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All Journal Communication and Information Journal
Alhafiz, Muhammad Verdy Hasan
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Religion Computer Science & IT Control & Systems Engineering Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Klasterisasi Pola Nilai Impor Migas Bulanan Berdasarkan Pelabuhan Bongkar di Indonesia Tahun 2024 Menggunakan Algoritma K-Means Farrasanto, Akram; Raehan, Muhamad; Alhafiz, Muhammad Verdy Hasan
Comit: Communication, Information and Technology Journal Vol. 3 No. 2 (2025): Comit: Communication and Information Journal
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/comit.v3i2.8899

Abstract

Indonesia’s oil and gas (O&G) distribution relies on imports through various unloading ports with different monthly patterns. This study aims to cluster O&G ports in 2024 based on monthly import values using the K-Means algorithm. The method follows Knowledge Discovery in Databases (KDD) stages: data selection, preprocessing, transformation, clustering, evaluation, and visualization. Analysis was conducted in Google Colab using Python with Scikit-learn, Pandas, and Matplotlib. Results show three main clusters: ports with high, medium, and low import volumes. Evaluation using Elbow Method and Silhouette Score confirmed that three clusters offer optimal separation. PCA visualization clearly shows cluster distribution. These findings support more efficient energy logistics planning and port infrastructure development based on data-driven insights.
Co-Authors Farrasanto, Akram Raehan, Muhamad