Record Details

Performance Evaluation of Integrated Deep Learning Web Platform for Dataset Training

Applied Technology and Computing Science Journal

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Field Value
 
Title Performance Evaluation of Integrated Deep Learning Web Platform for Dataset Training
 
Creator Sukaridhoto, Sritrusta
Basuki, Dwi Kurnia
Yulianus, Heri
Budiarti, Rizqi Putri Nourma
 
Subject Dataset training
web platform
webqual
 
Description Along with the complexity of recent web site, many users cannot get the benefits. We developed Integrated Deep Learning Web Platform to help researcher to prepare dataset trainig for Tensorflow. However, the quality of a web site needs to be assessed. This paper proposes an implementation of WebQual 4.0 for evaluating Integrated Deep Learning Platform for Training Dataset (INDEF) quality. This method used the WebQual model that has some instruments. The instruments grouped the WebQual questions to be three main categories; usability, information and service interaction. From the research conducted can be evaluated that all respondents agreed Integrated Deep Learning Platform for Training Dataset web site met all the WebQual characteristics.
 
Publisher Unusa Press
 
Date 2020-03-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/1516
10.33086/atcsj.v2i2.1516
 
Source Applied Technology and Computing Science Journal; Vol. 2 No. 2 (2019): Desember; 117-128
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER; Vol 2 No 2 (2019): Desember; 117-128
2621-4474
2621-4458
10.33086/atcsj.v2i2
 
Language eng
 
Relation https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/1516/1048
 
Rights Copyright (c) 2020 Sritrusta Sukaridhoto, Dwi Kurnia Basuki, Heri Yulianus, Rizqi Putri Nourma Budiarti