Ditemukan 7199 dokumen yang sesuai dengan query
New York: Elsevier Science Inc., 660, 2018
600 TIS
Majalah, Jurnal, Buletin Universitas Indonesia Library
New Zeland: Wadsworth and Cengage Learning, 2012
Buku Teks SO Universitas Indonesia Library
Cambridge, UK: Technology Review, Inc,
600 TRJ
Majalah, Jurnal, Buletin Universitas Indonesia Library
Laudon, Kenneth C., 1944-
Boston: Pearson, 2017
658.872 LAU e
Buku Teks Universitas Indonesia Library
London : Hutchinson Educational , 1974
303.483 MAN
Buku Teks SO Universitas Indonesia Library
"This article describes an empirical study of hybrid approach of quicksort algotihms."
Jakarta: CommIT Journal,
621 COMMIT
Majalah, Jurnal, Buletin Universitas Indonesia Library
Isti Surjandari Prajitno
"Site Specific Management (SSM), which also variously referred to as Variable Rate Technology (VRT), is an emerging technology that enables producers to make more precise input application decisions based on soil and field characteristics. This study analyzes factors influencing the adoption of VRT for fertilizer application for cash grain production in Ohio. Results show that producer and field characteristics might influence the adoption decision on various SSM components differently. It also provides insight as to the sequence of adoption of SSM component technologies and how this sequence might differ for producers of differing characteristics."
Depok: Lembaga Penelitian Universitas Indonesia, 2003
AJ-Pdf
Artikel Jurnal Universitas Indonesia Library
"
ABSTRAKGenome Sequence Analysis for genetic datasets by using ORF (Open Reading Frames) techniques is an interesting area of research for bioinformatics researchers nowadays. There is a strong research focus on comparative analysis between genetic behaviors and diversity of different species. Contrary to whole genome sequence analysis, scientists are now trying to concentrate specifically on layered analysis to get a better insight of relevancy among genetic datasets. This phenomenon will help to better understand species. An ORF statistical analysis for genetic data-sets of species Chimera Monstrosa and Poly Odontidae is presented. For completion of this analysis, we use a hybrid approach that combines a generic mechanism for statistical analysis with specific approach designed for out performance. At first instance, genetic datasets are refined for better usage at next level. These sets are then passed through layers of filters that perform DNA to Protein translation. Statistical comparison is performed during this translation. This layered architecture helps in better understanding of the degree of similarity and differences in genomic sequences. "
Depok: Faculty of Engineering. Universitas Indonesia, 2010
600 UI-IJTECH
Majalah, Jurnal, Buletin Universitas Indonesia Library
New York: American Society of Mechanical Engineers, 2018
600 JERT
Majalah, Jurnal, Buletin Universitas Indonesia Library
Symposium on Appropriate Technology. November 30, 1976, Jakarta
Jakarta: University of Indonesia, 1977
620.63 Sym p
Buku Teks Universitas Indonesia Library