User Experience Analysis Of E-Wallet Application Using Electroencephalography (EEG) Method

Annisah, Almas Sabrina (2022) User Experience Analysis Of E-Wallet Application Using Electroencephalography (EEG) Method. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Back in 2021, the Indonesian Coordinating Ministry for Economic Affairs noted that digital-based economic activities such as e-commerce, marketplaces, fintech, and internet of things (IoT) have become a big driver for the digital economy in this nation. The drivers of the increase of Indonesia digital economy are technology-related that has high correlation with user interface and user experience (UI/UX). A good website or application must pay attention to the usability aspects. The term of usability itself refers to the ease of access and/or use of a product or website and is the sub-discipline of user experience. This research wants to conduct user experience analysis of OVO e-wallet application which put concern on the difference type of users, namely active users and non-users to give wider insight based on the result. By employing two different approaches, objective and subjective. The objective method in this research employs electroencephalography (EEG) tools named Emotiv Headset EPOCx that has 14- channels which later can be converted into five powerbands, namely delta (0.5-4 Hz), theta (4- 8 Hz), alpha (8-12 Hz), beta (12-25 Hz), and gamma (greater than 25 Hz) which each band indicates different state of human brain. EEG is able to collect performance metrics on engagement, excitement, interest, focus, relaxation, and stress, to evaluate UX. Then the subjective method employs a questionnaire consists of six sub-items, namely flow, immersion, controllability, responsiveness, functionality, and pleasure that comes with Likert scale of 1-7. The result of this research shows that Emotiv Headset EPOCx is unable to record the delta band and record beta low (12-18 Hz) and beta high (18-25 Hz) band instead. Also, the overall research suggests that OVO e-wallet application requires some improvements towards the UX aspects for task 1 and task 2 since the value of theta, beta low, and beta high are notable compared to the alpha and gamma value during the live application use. Low UX evokes higher value of theta, beta low, and beta high.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	EEG, OVO, Subjective Evaluation, User Experience, UX Evaluation
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD56.25 Industrial efficiency--Measurement. Industrial productivity--Measurement.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	09 Feb 2026 04:22
Last Modified:	09 Feb 2026 04:22
URI:	http://repository.its.ac.id/id/eprint/132283

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