Blended Learning Quality Measurement System using Fuzzy Analytic Hierarchy Process Method

Yeni Kustiyahningsih, Eka Mala Sari, Dwi Laras Asih

Abstract

Blended learning is appropriate learning in the era of the COVID-19 pandemic. Blended learning is a learning process that integration face-to-face and online learning. The characteristics of blended learning are learning that combines synchronous and asynchronous learning settings correctly to achieve learning objectives. The indicators in this study are live synchronous, virtual synchronous, independent synchronous and collaborative asynchronous. There are many indicators in the measurement of blended learning, so a method is needed to determine recommendations for improvement in the implementation of blended learning. The method used in this research is Fuzzy AHP. Fuzzy method can handle data that contains uncertainty and inaccuracy. The Fuzzy Analytic Hierarchy Process (AHP) method is used to determine the weighting of each blended learning indicator. The purpose of this research is to build a decision support system software to determine recommendations in implementing blended learning. Based on the research, that the indicators that most influence the quality of blended learning are problem based learning, task collaboration and independent tasks. The test results showed that the highest accuracy was obtained from a consistency ratio of 0.03627 with an accuracy of 98%

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Paper Citation


in Harvard Style

Kustiyahningsih Y., Sari E. and Asih D. (2020). Blended Learning Quality Measurement System using Fuzzy Analytic Hierarchy Process Method.In Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies - Volume 1: CESIT, ISBN 978-989-758-501-2, pages 200-206. DOI: 10.5220/0010306102000206


in Bibtex Style

@conference{cesit20,
author={Yeni Kustiyahningsih and Eka Mala Sari and Dwi Laras Asih},
title={Blended Learning Quality Measurement System using Fuzzy Analytic Hierarchy Process Method},
booktitle={Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies - Volume 1: CESIT,},
year={2020},
pages={200-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010306102000206},
isbn={978-989-758-501-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies - Volume 1: CESIT,
TI - Blended Learning Quality Measurement System using Fuzzy Analytic Hierarchy Process Method
SN - 978-989-758-501-2
AU - Kustiyahningsih Y.
AU - Sari E.
AU - Asih D.
PY - 2020
SP - 200
EP - 206
DO - 10.5220/0010306102000206