Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alfita, Riza"'
Autor:
Rahmawati, Diana, Setiawan, Heri, Hardiwansyah, Muttaqin, Alfita, Riza, Nahari, Rosida Vivin, Sukri, Hanifudin, Setiawibawa, Rachmat
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3176 Issue 1, p1-14, 14p
Autor:
Wibisono Kunto Aji, Alfita Riza, Rahman Alfian Nur, Kurniawan Farohaji, Kurniawan Adi, Laksono Deni
Publikováno v:
E3S Web of Conferences, Vol 328, p 02010 (2021)
This paper presents development of circular polarization 5.5 GHz microstrip antenna E-shaped for synthetic aperture radar Communication. Microstrip antenna designed Truncated E-shaped the centered frequency is 5.5 GHz and bandwidth that is wide 200 M
Externí odkaz:
https://doaj.org/article/a62fe9ada51545a999e2f569219ec764
Publikováno v:
E3S Web of Conferences, Vol 328, p 04007 (2021)
Indonesia’s climate has suitable for tobacco growth. tobacco plants can live in drylands. Tobacco is planted optimum with a size of 100cm x 70cm. The right size is used to count the amount of tobacco that will be planted according to the area of th
Externí odkaz:
https://doaj.org/article/7d030ef0bac84bc9bb77e7a9c036dde0
Autor:
Achmad Fiqhi I, Alfita Riza, Rosida Vivin N, Kunto Aji W, Sukri Hanifudin, Adi Kurniawan S, Rohman Gusmanu
Publikováno v:
E3S Web of Conferences, Vol 328, p 02003 (2021)
Today, the waste problem has become more serious, because the waste can cause environmental pollution and bad smell pollution. The less awareness of cleanliness is the main factor, especially the less awareness of throwing waste at the right place. B
Externí odkaz:
https://doaj.org/article/6ef59bf3f808451dbafd78656a611a22
Publikováno v:
Iraqi Journal of Science; 2023, Vol. 64 Issue 10, p5253-5264, 12p
Publikováno v:
Nusantara of Engineering (NOE); Vol. 3 No. 1 (2016)
Nusantara of Engineering (NOE); Vol 3 No 1 (2016)
BASE-Bielefeld Academic Search Engine
Nusantara of Engineering (NOE); Vol 3 No 1 (2016)
BASE-Bielefeld Academic Search Engine
— Pada penelitian ini, Metode vector quantization yang dioptimasi menggunakan metode K-mean diimplementasikan untuk mengelompokkan region pada gambar 2 dimensi dengan ekstrasi fitur warna RGB dan fitur warna YcbCr. Fitur warna tersebut kemudian dij
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::08579383df2492618ea5b1df12a4ef8a
https://ojs.unpkediri.ac.id/index.php/noe/article/view/252
https://ojs.unpkediri.ac.id/index.php/noe/article/view/252