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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains dan Informatika PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo Building of Informatics, Technology and Science JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Manajemen Sistem Informasi The Indonesian Journal of Computer Science Jurnal Pengabdian Masyarakat Unama
Chindra Saputra
Universitas Dinamika Bangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Other

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Journal : The Indonesian Journal of Computer Science

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PENGGUNAAN YOLO UNTUK DETEKSI ROBOT DAN GAWANG PADA ROBOT SEPAK BOLA BERODA Surya, Muhammad; Toscany, Afrizal; Saputra, Chindra; Pratama, Yovi; Bustami, M Irwan
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4575

Abstract

The ability to detect objects in real-time is a crucial factor in enhancing a robot's performance in understanding and adapting to dynamic environments. This research aims to develop and implement an object detection system on a wheeled soccer robot using the YOLOv11 algorithm, applied to images generated by omnidirectional and front-facing cameras. The system leverages deep learning technology for data labeling, model training, and performance evaluation. Testing was conducted by comparing the object detection results from both types of cameras, as well as analyzing performance metrics such as precision, recall, F1-score, and accuracy. The results show that the YOLOv11 model is effective in detecting objects in real-time, with a detection accuracy of 95.91% for the front camera and 96.7% for the omnidirectional camera. The highest precision and recall were recorded in the robot class, with precision of 99.12% and recall of 97.40% for the front camera, and precision of 96.5% and recall of 97.8% for the omnidirectional camera. The use of a combination of cameras proved to expand the robot's field of vision, enhancing object detection accuracy in dynamic environments. This research contributes to the implementation of object detection systems in robotics, particularly in the context of robot soccer competitions.
Perancangan Sistem Penerbitan dan Verifikasi E-Ijazah dan E-Transkrip Menggunakan Teknologi Blockchain pada Universitas Dinamika Bangsa Toscany, Afrizal; Bustasmi, M.Irwan; Saputra, Chindra
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3082

Abstract

With the development of increasingly sophisticated technology, the act of counterfeiting becomes an easy thing to do. An image editor application intended to heed a work of art, has now turned its function into a tool for document forgery.  Forgery of a diploma is a form of deviant behavior that violates the rule of law and makes the perpetrator criminal. Economic conditions, low education and the need to get a job are reasons for perpetrators to commit forgery. In addition, political motives are also often a reason to get political office.  One of the technologies to anticipate this problem is to apply blockcerts to electronic diplomas. Blockcert is built using blockchain technology that provides transparency and accountability in the storage of certificates and diplomas. This research resulted in a system of publishing and validating e-diplomas and e-transcripts at the University of Dinamika Bangsa which are stored on a private blockchain. The system has been tested and all modules are running properly according to the expected output.
Co-Authors Abdul Harris Afrizal Nehemia Toscany Arahmad Taupiq Bustami, M Irwan Bustami, M. Irwan Bustasmi, M.Irwan Cahyana Putra Pratama Dodi Sandra Effiyaldi, Effiyaldi Hansen, Hansen Hendy Saryanto Husaein, Ahmad Irawan Istoningtyas , Marrylinteri Janu Hadi Susilo Jasmir Jumersyah Pratama, Raka KARMAN, ZULFI Kisbianty , Desi Kurniabudi Kurniabudi, Kurniabudi M. Irwan Bustami M. Irwan Bustasmi M.Irwan Bustasmi Mhd Ridho Saputra Muhammad Irwan Bustami Muhammad Rafly Ramadhan MUHAMMAD SURYA Nabila Kamila Hasna Nugroho, M. Restu Pareza Alam Jusia ROBY SETIAWAN Setiawan Assegaf SIKA, XAVERIUS Sutoyo, Mochammad Arief Hermawan taupiq, Arahmad Toscany, Afrizal Wahyu Nugraha Xaverius Sika Xaverius Sika YOSE, IMELDA Yovi Pratama Yulia Arvita Yulvianda, Renaldi ZULFI KARMAN