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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jambura Journal of Mathematics InPrime: Indonesian Journal Of Pure And Applied Mathematics Jambura Journal of Biomathematics (JJBM) Journal of Applied Data Sciences Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Teknologi Informasi International Journal of Innovation and Education Research The Indonesian Journal of Computer Science
Sutanto, Taufik Edy
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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Analisis Kinerja dan Efisiensi Energi k-means dan Gaussian Mixture Model Terdistribusi pada Klaster Single Board Computer dan Personal Computer dengan Apache Spark Noer, Deffin Purnama; Liebenlito, Muhaza; Sutanto, Taufik Edy
Jambura Journal of Mathematics Vol 8, No 1: February 2026
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v8i1.35198

Abstract

This study aims to evaluate the performance and energy efficiency of distributed unsupervised learning algorithms on two types of clusters, namely Single Board Computers (SBC) and Personal Computers (PC), using Apache Spark. Two algorithms were tested—k-means and Gaussian Mixture Model (GMM)—executed across varying dataset sizes and numbers of processor cores to observe scalability. The results show that PCs consistently achieved faster execution times, particularly with k-means on large datasets. On the other hand, SBCs demonstrated higher energy efficiency in all scenarios, with energy savings of up to 93% for k-means and 86% for GMM compared to the highest-consumption configuration on PC. These findings affirm the potential of SBCs as a low-power and cost-efficient solution for green or sustainable computing, particularly for learning, academic experimentation, and small-scale edge computing development, and are relevant to sustainability efforts through their contribution to the Sustainable Development Goals (SDGs).
Co-Authors Azka, Syahrul Choerunnisa, Esti Elfiyanti, Gustina Faizah, Salma Abidah Hermawan, Fadlan Bima Inna, Suma Mahira Putri Mahmudi Mahmudi Muhammad Manaqib, Muhammad Muhaza Liebenlito Nina Fitriyati Noer, Deffin Purnama Nur Inayah Nuranisa, Puput Hanifah Rahman, Fathu Santoso, Ary Sidqi, Serin Tias Zain, Poppy Dalama