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All Journal Applied Technology and Computing Science Journal
Dwi Kurnia Basuki
Politeknik Elektronika Negeri Indonesia
Engineering Social Sciences

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Performance Evaluation of Integrated Deep Learning Web Platform for Dataset Training Sritrusta Sukaridhoto; Dwi Kurnia Basuki; Heri Yulianus; Rizqi Putri Nourma Budiarti
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 2 No 2 (2019): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v2i2.1516

Abstract

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.
Co-Authors Budiarti, Rizqi Putri Nourma Heri Yulianus Stritusta Sukaridhoto