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Jurnal SINTA 2

Optimasi Proses Rendering Objek Game 3D Menggunakan Pemrograman CUDA Pada Game Sandbox Craft

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 4 No. 3 (2017) · pp. 207–212

DOI
10.25126/jtiik.201743444
ISSN
2528-6579, 2355-7699
Published
2017-09-29
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
en

Abstract

AbstrakKemajuan dalam pengembangan game khususnya 3D game menumbuhkan perasaan immersive yang lebih nyata. Namun, hal tersebut membutuhkan pengolahan resource yang sangat banyak dan cepat. Kerja Central Processing Unit (CPU) sendiri saja tidak cukup. Oleh karena itu, dibutuhkan adanya pengelola resource tambahan yang dapat digunakan untuk mempercepat proses. Penelitian ini membahas tentang bagaimana Graphics Processing Unit (GPU) dapat melakukan optimasi kerja CPU dalam memproses resource yang sangat banyak. Metode yang dibahas pada penelitian ini adalah shared memory. Shared memory memungkinkan CPU dan GPU untuk berbagi resource yang diproses. Game yang dianalisis pada penelitian ini adalah Craft, yaitu game yang memiliki tipe permainan sandbox layaknya Minecraft. Hasil yang didapatkan membuktikan bahwa metode shared memory dapat melakukan optimasi dari game yang membutuhkan pengolahan resource yang banyak dengan cepat.Kata kunci: games, shared memory, CPU, GPU, CUDA, comparative analysis, optimization, parallel computing AbstractGame development nowadays especially 3D game bring a more realistic immersive feeling. Although, that needs a lots of resource processing and quick processing. That is said, Central Processing Unit (CPU) alone is not enough. Therefore, additional process manager is needed to make the process faster. This research focuses on how Graphics Processing Unit (GPU) can optimize resource processing of CPU. The proposed approach is to use shared memory. Shared memory allows CPU and GPU to share resource processing. The game used in this research is Craft. Craft is the same as Minecraft. It is a game that focuses on sandbox gameplay. The result showed that this approach can greatly optimize game that needed a lots of resource processing.Keywords: games, shared memory, CPU, GPU, CUDA, comparative analysis, optimization, parallel computing

Collaboration network of the authors

40 authors · 111 co-authorship links · 3 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Brawijaya
  • Universitas Amikom Purwokerto
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Arief Andy SoebrotoUniversity of Brawijaya3
Daneswara JauhariUniversity of Brawijaya3
Dhimas Anjar PrabowoUniversity of Brawijaya3
Sutrisno .Affiliation unknown2
Nurul HidayatUniversity of Brawijaya2
Canny Amerilyse CaesarUniversity of Brawijaya2
Latifah HanumUniversity of Brawijaya2
Muhammad FhadliUniversity of Brawijaya2
Anang HanafiUniversity of Brawijaya2
Listiya SurtiningsihUniversity of Brawijaya2
Fitra Abdurrachman BachtiarUniversity of Brawijaya2
Ahmad Afif SupiantoUniversity of Brawijaya1
Randy Cahya WihandikaUniversity of Brawijaya1
Maria Tenika FrestantiyaUniversity of Brawijaya1
Ziya El AriefUniversity of Brawijaya1
Candra DewiUniversity of Brawijaya1
Rina ChristantiUniversity of Brawijaya1
Budi Darma SetiawanUniversity of Brawijaya1
Rekyan Regasari Mardi PutriUniversity of Brawijaya1
Lailil MuflikhahUniversity of Brawijaya1
Muhammad SyafiqUniversity of Brawijaya1
Achmad Jafar Al KadafiUniversity of Brawijaya1
Rizka Husnun ZakiyyahUniversity of Brawijaya1
Wanda Athira LuqyanaUniversity of Brawijaya1
Uswatun HasanahUniversitas Amikom Purwokerto1
Lintang Resita MayangsariUniversity of Brawijaya1
Andhica PratamaUniversity of Brawijaya1
Mochammad Ainun NajibUniversity of Brawijaya1
Handika Agus FauziUniversity of Brawijaya1
Sutrisno SutrisnoUniversity of Brawijaya1
Aryeswara SunaryoUniversity of Brawijaya1
Maryamah .University of Brawijaya1
Moh. Fadel AsikinUniversity of Brawijaya1
Daisy KurniawatyUniversity of Brawijaya1
Selly Kurnia SariUniversity of Brawijaya1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id">Optimasi Proses Rendering Objek Game 3D Menggunakan Pemrograman CUDA Pada Game Sandbox Craft</dc:title>
	<dc:creator xml:lang="en">Rizaldi, Hilmi Ilyas</dc:creator>
	<dc:creator xml:lang="en">Pramana, Firadi Surya</dc:creator>
	<dc:creator xml:lang="en">R, Bariq Najmi</dc:creator>
	<dc:creator xml:lang="en">A. N., Aditya Yudha</dc:creator>
	<dc:creator xml:lang="en">Cholissodin, Imam</dc:creator>
	<dc:description xml:lang="id">AbstrakKemajuan dalam pengembangan game khususnya 3D game menumbuhkan perasaan immersive yang lebih nyata. Namun, hal tersebut membutuhkan pengolahan resource yang sangat banyak dan cepat. Kerja Central Processing Unit (CPU) sendiri saja tidak cukup. Oleh karena itu, dibutuhkan adanya pengelola resource tambahan yang dapat digunakan untuk mempercepat proses. Penelitian ini membahas tentang bagaimana Graphics Processing Unit (GPU) dapat melakukan optimasi kerja CPU dalam memproses resource yang sangat banyak. Metode yang dibahas pada penelitian ini adalah shared memory. Shared memory memungkinkan CPU dan GPU untuk berbagi resource yang diproses. Game yang dianalisis pada penelitian ini adalah Craft, yaitu game yang memiliki tipe permainan sandbox layaknya Minecraft. Hasil yang didapatkan membuktikan bahwa metode shared memory dapat melakukan optimasi dari game yang membutuhkan pengolahan resource yang banyak dengan cepat.Kata kunci: games, shared memory, CPU, GPU, CUDA, comparative analysis, optimization, parallel computing AbstractGame development nowadays especially 3D game bring a more realistic immersive feeling. Although, that needs a lots of resource processing and quick processing. That is said, Central Processing Unit (CPU) alone is not enough. Therefore, additional process manager is needed to make the process faster. This research focuses on how Graphics Processing Unit (GPU) can optimize resource processing of CPU. The proposed approach is to use shared memory. Shared memory allows CPU and GPU to share resource processing. The game used in this research is Craft. Craft is the same as Minecraft. It is a game that focuses on sandbox gameplay. The result showed that this approach can greatly optimize game that needed a lots of resource processing.Keywords: games, shared memory, CPU, GPU, CUDA, comparative analysis, optimization, parallel computing</dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2017-09-29</dc:date>
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	<dc:identifier>10.25126/jtiik.201743444</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 4 No 3: September 2017; 207-212</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 4 No. 3: September 2017; 207-212</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.201743</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jtiik.ub.ac.id/index.php/jtiik/article/view/444/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2017 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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