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Achmad Basuki
Researcher at University of Brawijaya
Publications - 117
Citations - 345
Achmad Basuki is an academic researcher from University of Brawijaya. The author has contributed to research in topics: Computer science & Network packet. The author has an hindex of 8, co-authored 101 publications receiving 257 citations. Previous affiliations of Achmad Basuki include Keio University.
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Journal ArticleDOI
The Extended Dijkstra’s-based Load Balancing for OpenFlow Network
TL;DR: The proposed load-balancing algorithm on the basis of the Extended Dijkstra’s shortest path algorithm for Software Defined Networking outperforms the others in term of the network end-to-end latency, throughput and response time at the expense of a little heavier computation load and more memory usage on the SDN controller.
Proceedings ArticleDOI
Psychomotor game learning using skeletal tracking method with leap motion technology
TL;DR: A game of psychomotor development using Leap Motion Technology, which has ability to interact with the 3D space and has an accuracy rate of 96.5% for detecting human hand with Leap Motion device.
Proceedings ArticleDOI
Implementation of Victims Detection Framework on Post Disaster Scenario
Indra Adji Sulistijono,Tegar Imansyah,Muhammad Muhajir,Edi Sutoyo,Muhamad Khoirul Anwar,Edi Satriyanto,Achmad Basuki,Anhar Risnumawan +7 more
TL;DR: A victims detection framework is developed starting from acquiring images using an unmanned aerial vehicle and further processing using convolutional neural network (CNN) to locate victims robustly on post-disaster.
Pengolahan Citra Digital menggunakan Visual Basic
TL;DR: In this paper, salah satunya adalah pemahaman ying baik terhadap pengolahan citra digital, pengenalan identifikasi manusia, cotent based image and video retrieval (mendapatkan kembali citra atau video dengan informasi tertentu), video editing and lain-lain.
Journal ArticleDOI
Collaborating Remote Computer Laboratory and Distance Learning Approach for Hands-on IT Education
TL;DR: This paper studies the innovative methodology for developing IT education from the traditional face-to-face model to full capability of distance learning by combining a remote computer laboratory and a distance e-learning environment using computer virtualization and StarBED computing testbed.