Metagenome studies are an important step in taxonomic grouping. Taxonomic
grouping can be done using the binning method. Binning is a process to determine the contigs
of each group of phylogenetic species. In this study, Binning was carried out using the
Supervise Learning approach. We use the Naïve Bayes Classifier method and Certainty
Factor. The classification process is carried out on phylum taxon levels. many of the
organisms used were 50 organisms and the length of the fragments used was 500 bp and
many readings were 1000 readings. The accuracy results obtained by the Naive Bayes method
are 62.5%. While the accuracy obtained in the Certainty Factor method is 54.45%. From the
results of the two methods of testing, it can be concluded that Naive Bayes is the best method
of classification compared to Certainty Factor.
Tahun
:
2018
Media Publikasi
:
Prosiding
Kategori
:
Prosiding
No/Vol/Tahun
:
10.1088/1757-899X/621/1/012002 / - / 2018
ISSN/ISBN
:
-
PTN/S
:
Universitas Pakuan
Program Studi
:
MANAJEMEN INFORMATIKA (D3)
Bibliography
:
Maureen A and O’Malley 2006 Metagenomics (Sydney-Australia: University of Sydney)
[5]Harun A S 2014 (Bogor-Indonesia: Institut Pertanian Bogor) Kalsifikasi Fragmen Metagenome Menggunakan Oblique Decision Tree dengan Optimasi Algoritme Genetika skripsi
[7]Strous M, Kraft B, Bisdorf R and Tegetmeyer H 2012 The binning of metagenomic contigs for microbial physiology of mixed cultures Frontiers in Microbiology 3
[8]Han J and Kamber M 2001 Data Mining Concepts and Techniques ed DD Cerra, H Severson and B Breyer (San Diego (USA): Academic Pr.) ISBN: 978-0-12-381479-1