Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ade Ramdan"'
Autor:
Arnetta Listiana Dewi, Hilman F. Pardede, Endang Suryawati, Hasih Pratiwi, Ana Heryana, Asri R Yuliani, Ade Ramdan
Publikováno v:
Jurnal Elektronika dan Telekomunikasi, Vol 24, Iss 1, Pp 25-30 (2024)
The implementation of object detection for autonomous vehicles is essential as it is necessary to identify common object on the street so proper response could be designed. While single stage object may be smaller in computations, two-stage object de
Externí odkaz:
https://doaj.org/article/5e1d44a543f64a619570bf2134f8b809
Publikováno v:
JTRM, Vol 6, Iss 2 (2024)
Penelitian ini mengkaji bagaimana pengembangan konsep dilakukan untuk merancang sebuah landasan robot beroda omnidirection berbahan ekstrusi profil aluminium yang digunakan untuk pemindah barang. Perancangan konsep melalui serangkaian tahapan yaitu:
Externí odkaz:
https://doaj.org/article/70f31cdbe8aa43e7a6491eccbc94eaf2
Autor:
Vicky Zilvan, Ade Ramdan, Ana Heryana, Dikdik Krisnandi, Endang Suryawati, R. Sandra Yuwana, R. Budiarianto S. Kusumo, Hilman F. Pardede
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3332-3342 (2022)
It is common to have various clones from cross-seedlings or unintended planting by the farmers in a tea plantation. Since each tea clone has distinctive features such as quality, resistance to diseases, etc., visual inspections are usually conducted
Externí odkaz:
https://doaj.org/article/a442bfac9146424bbb8cceaaa07b10f0
Autor:
Endang Suryawati, Hilman F. Pardede, Vicky Zilvan, Ade Ramdan, Dikdik Krisnandi, Ana Heryana, R. Sandra Yuwana, R. Budiarianto Suryo Kusumo, Andria Arisal, Ahmad Afif Supianto
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-17 (2021)
Abstract In this paper, we propose a novel deep learning-based feature learning architecture for object classification. Conventionally, deep learning methods are trained with supervised learning for object classification. But, this would require larg
Externí odkaz:
https://doaj.org/article/4f0f66f0b2214ca9ad9196086b4dbb23
Publikováno v:
Jurnal Elektronika dan Telekomunikasi, Vol 21, Iss 1, Pp 19-26 (2021)
Speech enhancement, which aims to recover the clean speech of the corrupted signal, plays an important role in the digital speech signal processing. According to the type of degradation and noise in the speech signal, approaches to speech enhancement
Externí odkaz:
https://doaj.org/article/cbf9deda016e48b38a79883cfdc44667
Publikováno v:
Jurnal Komputer Terapan, Vol 8, Iss 1 (2022)
Legal Documentation and Information Network (JDIH) is one of the government agencies in the field of law, which is regulated by Presidential Regulation Number 33 of 2012. JDIH consists of central and regional levels, at the provincial level the Burea
Externí odkaz:
https://doaj.org/article/3c31977680ef4e0e81c298970991af52
Publikováno v:
JTRM, Vol 4, Iss 1 (2022)
Poros spindle mesin auto level buff merupakan poros transmisi yang meneruskan putaran ke buff wheel. Poros ini mengalami pembebanan kombinasi bengkok dan puntir, sehingga perlu analisis rancangan mengenai kekuatan poros tersebut agar tidak terjadi ke
Externí odkaz:
https://doaj.org/article/59416bb701c24289a16b85e35106af2d
Publikováno v:
JTRM, Vol 4, Iss 1 (2022)
Buffing adalah proses untuk menghilangkan serat halus dan membuat permukaan panel kayu menjadi mengkilap. Di sebuah perusahaan pembuat alat musik piano terdapat 9 varian komponen yang di proses buffing. Proses buffing yang ada saat ini terdapat beber
Externí odkaz:
https://doaj.org/article/a4261279d55c4aabb3d58d3cd7a3e3f5
Publikováno v:
Jurnal Teknologi dan Sistem Komputer, Vol 8, Iss 4, Pp 289-296 (2020)
Tea clone of Gambung series is a superior variety of tea that has high productivity and quality. Smallholder farmers usually plant these clones in the same areas. However, each clone has different productivity or quality, so it is difficult to predic
Externí odkaz:
https://doaj.org/article/7e404f1be1be49bf904bee94c1b24e39
Autor:
Hilman F. Pardede, Endang Suryawati, Vicky Zilvan, Ade Ramdan, R. Budiarianto S. Kusumo, Ana Heryana, R. Sandra Yuwana, Dikdik Krisnandi, Agus Subekti, Fani Fauziah, Vitria P. Rahadi
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-21 (2020)
Abstract At the moment, there are increasing trends of using deep learning for plant diseases detection. However, their implementations may be difficult in developing countries due to several reasons. First, existing deep learning models are usually
Externí odkaz:
https://doaj.org/article/354f295f8d28498fb6624b02ebeef5c7