Identifying BeeBest E-Application: An Analysis of User Feedback

Smart education has an increasingly important role along with the development of knowledge and technology. The BeeBest application is specifically designed to make it easier for respondents to conduct self-assessments through innovative features that can improve the respondent's personal experience. User feedback analysis is an important process in the development and refinement of the BeeBest application. User feedback can provide important insights according to user needs and expectations. The research method used is the Neuroresearch Method, which consists of three stages: Exploratory, Explanatory, and Confirmatory Research. The results of the study show that User Satisfaction and Content Quality have the most significant influence on the performance of the BeeBest application, with a very high T Statistic value and a significant P Value. Personalization and Usability have the lowest influence on user feedback on the BeeBest application.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/iciss62896.2024.10751465
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00

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article

Identifying BeeBest E-Application: An Analysis of User Feedback

Sasmoko Sasmoko, Yasinta Indrianti, Abu Yazid Abu Bakar, Davy Ronald Hermanus et al.
Digital Marketing and Social Media
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Identifying BeeBest E-Application: An Analysis of User Feedback

Sasmoko Sasmoko, Yasinta Indrianti, Abu Yazid Abu Bakar, Davy Ronald Hermanus, Lukas Tanto Kurniawan, Sonya Rapinta Manalu
article en

Abstract

Smart education has an increasingly important role along with the development of knowledge and technology. The BeeBest application is specifically designed to make it easier for respondents to conduct self-assessments through innovative features that can improve the respondent's personal experience. User feedback analysis is an important process in the development and refinement of the BeeBest application. User feedback can provide important insights according to user needs and expectations. The research method used is the Neuroresearch Method, which consists of three stages: Exploratory, Explanatory, and Confirmatory Research. The results of the study show that User Satisfaction and Content Quality have the most significant influence on the performance of the BeeBest application, with a very high T Statistic value and a significant P Value. Personalization and Usability have the lowest influence on user feedback on the BeeBest application.

Binus University (ID), National University of Malaysia (MY)
Universiti Kebangsaan Malaysia, Binus University
Openalex Percentile: Top 67%
Digital Marketing and Social Media
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