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All Journal Jurnal Sarjana Teknik Informatika Journal of Informatics and Science Media (JISMEDIA)
Damayanti, Aldiana
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Computer Science & IT

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Perancangan Film Animasi 3D Adab Berpuasa Menggunakan Metode Pose-to-Pose Sofiana, Dila; Damayanti, Aldiana; Nurul, Irsyad; Al-fajri, Azmi Rizqy
Jurnal Sarjana Teknik Informatika Vol. 11 No. 2 (2023): Juni
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v11i2.26388

Abstract

Film animasi 3D telah menjadi media yang populer dalam menyampaikan pesan-pesan moral dan pendidikan kepada penonton. Dalam penelitian ini membahas perancangan film animasi 3D yang bertujuan untuk mengajarkan nilai-nilai dan adab berpuasa kepada penonton. Pembelajaran nilai-nilai dan adab berpuasa secara tepat menjadi penting untuk melaksanakan ibadah puasa dengan benar. Metode pose-to-pose digunakan dalam perancangan film animasi untuk mengoptimalkan proses produksi dan memberi kualitas visual lebih baik. Metode ini memungkinkan animator untuk mengatur pose utama dan pose kunci dalam adegan animasi sebelum melengkapi gerakan di antara kedua pose. Hal ini memungkinkan penekanan yang lebih baik pada ekspresi dan gerakan yang tepat dalam mengkomunikasikan adab berpuasa. Penelitian ini berhasil merancang dan membuat film animasi 3D dengan metode pose-to-pose untuk mengajarkan nilai-nilai dan adab berpuasa.
Mapping Soft Computing Concepts and Research Trends in Computer Vision through Bibliometric Analysis Using VOSviewer and Publish or Perish Damayanti, Aldiana
Jurnal Informatika dan Sains Media (JISMA) Vol 1 No 1 (2024): Vol. 1 No. 1 (2024) July
Publisher : Yayasan Amanah Putra Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The background of this research is the significant increase in the number of scientific publications related to the use of soft computing in computer vision in recent years. As bibliometric data becomes increasingly complex, there is a need for effective tools to map and analyze such data. This study aims to analyze and demonstrate the steps of bibliometric data analysis using VOSViewer in a comprehensive and systematic manner. The method used in this research is to conduct bibliometric analysis to produce visualization of collaboration network maps and collaboration density maps. The analysis was carried out on a total of 200 documents obtained with predetermined topics for the period 2017-2021. Through network visualization, it can be seen that the research development map in the field of deep learning is divided into 4 clusters. Cluster One consists of 12 topics, Cluster Two consists of 12 topics, Cluster Three consists of 5 topics, and Cluster Four consists of 4 topics. The research conclusion show that VOSViewer can be used to provide recommendations in data analysis results. This research provides a comprehensive and systematic guide for new users of VOSViewer to conduct bibliometric data analysis and effectively present visualizations of research developments in the field of deep learning.
Co-Authors Al-fajri, Azmi Rizqy Nurul, Irsyad Sofiana, Dila