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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kocenin Jurnal Pengabdian Kepada Masyarakat
Eni Pujiastuti, Christina
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Computer Science & IT Education Engineering Other

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A Multi-Objective Particle Swarm Optimization Approach for Optimizing K-Means Clustering Centroids Latifa Riyana Putri, Aina; Riyono, Joko; Eni Pujiastuti, Christina; Supriyadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6533

Abstract

The K-Means algorithm is a popular unsupervised learning method used for data clustering. However, its performance heavily depends on centroid initialization and the distribution shape of the data, making it less effective for datasets with complex or non-linear cluster structures. This study evaluates the performance of the standard K-Means algorithm and proposes a Multiobjective Particle Swarm Optimization K-Means (MOPSO+K-Means) approach to improve clustering accuracy. The evaluation was conducted on five benchmark datasets: Atom, Chainlink, EngyTime, Target, and TwoDiamonds. Experimental results show that K-Means is effective only on datasets with clearly separated clusters, such as EngyTime and TwoDiamonds, achieving accuracies of 95.6% and 100%, respectively. In contrast, MOPSO+K-Means achieved a substantial accuracy improvement on the complex Target dataset, increasing from 0.26% to 59.2%. The TwoDiamonds dataset achieved the most desirable trade-off: it had the lowest SSW (1323.32), relatively high SSB (2863.34), and lowest standard deviation values, indicating compact clusters, good separation, and high consistency across runs. These findings highlight the potential of swarm-based optimization to achieve consistent and accurate clustering results on datasets with varying structural complexity.
TRANSFER TEKNOLOGI MESIN PENGADUK PAKAN UNGGAS UNTUK MENDUKUNG KEMANDIRIAN EKONOMI PESANTREN Prayitno, Dody; Shintadewi Julian, Engeline; eni pujiastuti, christina
Kocenin Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Juni 2025
Publisher : Konsorsium Cendekiawan Indonesia

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Abstract

Kegiatan Pengabdian kepada Masyarakat Fakultas Teknologi Industri Universitas Trisakti ini dilaksanakan di Pondok Pesantren Daarul Ulum Lido dengan tujuan mentransfer teknologi tepat guna berupa mesin pengaduk pakan unggas. Kegiatan diawali dengan musyawarah penjadwalan, dilanjutkan dengan penyuluhan, demonstrasi, dan diskusi interaktif. Sebanyak 33 peserta mengikuti kegiatan yang dimulai dengan pre-test, penyampaian materi, dan diakhiri dengan post-test. Penyuluhan menekankan pentingnya efisiensi proses pencampuran pakan untuk menghasilkan pakan homogen yang berkualitas dan hemat biaya. Mesin yang diperkenalkan memiliki daya motor 450watt dan kapasitas yang dapat disesuaikan. Evaluasi menunjukkan bahwa sebagian besar peserta memahami fungsi mesin serta langkah-langkah dasar perawatan dan pengoperasian. Kegiatan ini mencerminkan keberhasilan sinergi antara Universitas Trisakti dan lembaga masyarakat dalam penerapan teknologi untuk penguatan ekonomi pesantren.
Co-Authors Dody Prayitno Joko Riyono Latifa Riyana Putri, Aina Shintadewi Julian, Engeline Supriyadi