The Performance of DEMATEL Combined Techniques in Determining Eligibility of E-Journal Articles

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Aji Prasetya Wibawa, Ahmad Khakim Amrullah, Cahya Wahyuning Ilahi, Dyah Ayu Fladya Risky, Nukleon Jefri Nur Rahman, Andrew Nafalski, Felix Andika Dwiyanto, Roni Herdianto

2018 Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018 Conference paper Cited by 0

Abstract

Concerns about scientific publications have been flourishing in Indonesia. Consequently, the number of published journals in e-journal has been rapidly increasing over the past few years. The growing trend of e-journal hence requires a decision support system in its application. The DSS will help the reviewers in determining the eligibility of an article in the journal's verification process. Several DSS methods such as DEMATEL, SAW, and TOPSIS, among others, are proposed to provide an effective means in the process. This research aims to present a solid comparison of two combined methods, DEMATEL-SAW and DEMATEL-TOPSIS, as they overcome each method's shortcomings, in determining the eligibility of an article. The eligibility criteria have been determined as a guide. The calculation results show that the DEMATEL-SAW has a relatively higher degree of accuracy compared to that of DEMATEL-TOPSIS when fewer criteria variables are included, whereas the DEMATEL-TOPSIS method has a higher degree of consistency when being utilized on a variable with more criteria. © 2018 IEEE.

Affiliations

Department of Electrical Engineering, Universitas Negeri Malang, Malang, Indonesia; Graduate School, Universitas Negeri Malang, Malang, Indonesia; School of Education, University of South Australia, Adelaide, SA, Australia