Optimizing The User Interface of Waste Bank Application Using UCD and UEQ

Retno Prihatini; Rianto

doi:10.23887/janapati.v13i3.83998

Authors

Retno Prihatini Universitas Teknologi Yogyakarta
Rianto Universitas Teknologi Yogyakarta

DOI:

https://doi.org/10.23887/janapati.v13i3.83998

Keywords:

Mobile Application, Waste Bank, User Centered Design, Usability, E-Questionnaire

Abstract

Environmental cleanliness is an essential aspect of life to make a healthy and comfortable environment. In Indonesia, the volume of waste will reach 70 million tons by 2022, with around 24% or 16 million tons needing to be appropriately managed. Related to the significant waste growth, the Ministry of Environment has developed the Waste Bank initiative, a collaborative effort that aims to educate the public in sorting waste and raising awareness of the importance of wise waste management. The desire of the local environmental agency to connect with the community supports the researcher in developing the Waste Bank application. The application will implement an optimal User Interface (UI) and User Experience (UX) design. The User-Centered Design (UCD) method will be employed, supported by the User Experience Questionnaire (UEQ), and is used to design UI and UX for the Waste Bank mobile application. The application prototypes were tested and evaluated using UEQ. The first design achieved an average score but still required improvement. In contrast, the second design scored excellently in six aspects measured: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty, with significant improvement. These results show that the UCD and UEQ methods are effective for developing UI/UX designs to meet user needs and can be applied in mobile application developments.

Author Biography

Rianto, Universitas Teknologi Yogyakarta

Dr. Ir. Rianto, S. Kom., M. Eng., IPM. is a lecturer at the Master program of Yogyakarta University of Technology. He has a strong academic and professional background, with a research focus on Human-Computer Interaction, Artificial Intelligence, and Natural Language Processing. Dr. Rianto has published 36 articles in various reputable journals, making him one of the recognized academics in his field.

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