Performance Evaluation of Integrated Deep Learning Web Platform for Dataset Training

Sritrusta Sukaridhoto; Dwi Kurnia Basuki; Heri Yulianus; Rizqi Putri Nourma Budiarti

doi:10.33086/atcsj.v2i2.1516

Authors

Sritrusta Sukaridhoto Politeknik Elektronika Negeri Surabaya
Dwi Kurnia Basuki Politeknik Elektronika Negeri Indonesia
Heri Yulianus Simpul Technologies
Rizqi Putri Nourma Budiarti Universitas Nahdlatul Ulama Surabaya

DOI:

https://doi.org/10.33086/atcsj.v2i2.1516

Keywords:

Dataset training, web platform, webqual

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.

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