Ira Fazira
Universitas Malikussaleh

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OPTIMASI JUMLAH CLUSTER PADA K-MEANS CLUSTERING MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK PENGELOMPOKAN UKT MAHASISWA Ira Fazira; Zahratul Fitri; Risawandi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6396

Abstract

The determination of the Single Tuition Fee (UKT) group in higher education faces challenges in terms of distribution fairness due to the inappropriate grouping of students' socio-economic conditions. The K-Means algorithm, while effective in handling large-scale data at good computational speeds, has a drawback in determining the optimal number of clusters automatically. This study aims to implement the integration of Particle Swarm Optimization (PSO) with K-Means Clustering in the grouping of student UKT data and evaluate the improvement of the quality  of clustering produced compared to conventional methods. The study uses a dataset of 437 new students of the Faculty of Engineering in 2024 from Malikussaleh University with 8 attributes that describe family socioeconomic conditions. The research stages include pre-processing of data, determination of the optimal number of clusters using PSO, implementation of K-Means clustering with optimal K, model evaluation using Silhouette Coefficient and Davies-Bouldin Index, and model comparison using the elbow method. The results of the study showed that PSO succeeded in determining the optimal number of clusters as many as 3 clusters. The implementation of K-Means with K=3 resulted in the distribution of clusters: cluster 0 (40 students/9.2%), cluster 1 (93 students/21.3%), and cluster 2 (304 students/69.6%). Clustering quality evaluation  resulted in  a Silhouette Coefficient of 0.278062 and  a Davies-Bouldin Index of 1.430505 indicating adequate cluster formation with fairly good internal cohesion and reasonable separation between clusters. Comparison with  the conventional K-Means method  using the Elbow Method shows the advantage of PSO-K-Means with  a higher Silhouette Coefficient (0.278062 vs 0.250300) and  a competitive Davies-Bouldin Index (1.430505 vs 1.315400). This research proves that the combination of PSO and K-Means can provide a more optimal solution in the grouping of student UKT to support a fairer determination of tuition fees based on family economic ability.
Prinsip Animasi 3D Komputer dalam Film Animasi dan Implementasinya: Sebuah Kajian Literatur Akmal Zulkifli; Muhamad Firdaus; Rasim Rasim; Fitra Bona Sari; Ira Fazira
Jurnal Desain Komunikasi Visual Nirmana Vol. 25 No. 2 (2025): JULY 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/nirmana.25.2.152-164

Abstract

Animasi 3D komputer mengalami kemajuan signifikan dalam dekade terakhir. Pesatnya perkembangan teknologi informasi dan perangkat lunak desain grafis membawa animasi 3D ke tingkat yang lebih maju dari sebelumnya yang menuntut pemahaman mendalam para animator tentang prinsip-prinsip animasi dasar. Penelitian ini bertujuan untuk menyelidiki penerapan prinsip-prinsip animasi dalam film animasi 3D serta memahami sejauh mana prinsip-prinsip animasi tersebut diterapkan dalam film animasi 3D.  Metode penelitian yang digunakan adalah SLR dengan kriteria rancangan PICOC (Population, Intervention, Comparison, Outcome, Context). Data diambil dari paper jurnal yang diterbitkan antara tahun 2013-2023. Dalam penelitian ini, terdapat lima research question yang menjadi panduan utama. Temuan akhir menunjukkan analisis penerapan prinsip-prinsip animasi dalam film animasi 3D menunjukkan bahwa hampir semua produksi animasi mengadopsi prinsip-prinsip animasi, meskipun dengan penekanan yang berbeda. Kepiawaian animator dalam menguasai prinsip-prinsip animasi berdampak langsung pada kesuksesan film animasi. Penerapan prinsip-prinsip animasi juga memengaruhi ekspresi karakter dan kesan visual. Selain itu, penggunaan prinsip-prinsip animasi dalam pembelajaran memiliki potensi besar untuk memperkaya pengalaman belajar dan mencapai hasil pembelajaran yang lebih optimal.