Issue |
MATEC Web Conf.
Volume 218, 2018
The 1st International Conference on Industrial, Electrical and Electronics (ICIEE 2018)
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 7 | |
Section | Information Technology | |
DOI | https://doi.org/10.1051/matecconf/201821803003 | |
Published online | 26 October 2018 |
Usability Evaluation Using Multi-Method for Improvement Interaction in M-Commerce
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, 55281 Jl Babarsari No. 44, Yogyakarta, Indonesia
*
Corresponding author: djokobdy@gmail.com
Today, M-Commerce has become one of the common choices as a way of shopping for society. Therefore, the transaction in m-commerce grows significantly. Moreover, the competition of M-Commerce increases and the performance should be improved primarily for the satisfaction of buyers. These conditions are seen from an improvement of the features and service options that can be used by users, even outside the process of buying and selling goods. Increasing amount of features may reduce the usability of the application which may impact on the performance of M-Commerce. Therefore, this study aims to evaluate the usability of M-Commerce service. Our study addressed to evaluate the usability of one famous M-Commerce in Indonesia. The evaluation process was performed by using cognitive walkthrough and heuristic usability method. Data collection is done by using depth interview and questionnaire to collect quantitative and qualitative data. Our findings show some new insight for designers and developers about M-Commerce especially about usability and the potential of usability to improving the satisfaction of users in terms of using the M-Commerce application overall.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.