DEVELOPMENT OF INTERACTION DESIGN AND USER INTERFACE FOR MOBILE OPTICAL CHARACTER RECOGNITION APPLICATION

Digitizing document archiving offers several benefits, such as overcoming the limitations of document quality that can be preserved in physical form and facilitating document information processing. The process of document digitization can be assisted by Optical Character Recognition (OCR) system...

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Bibliographic Details
Main Author: Yubairi Indrayadi, Fauzan
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/78170
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Digitizing document archiving offers several benefits, such as overcoming the limitations of document quality that can be preserved in physical form and facilitating document information processing. The process of document digitization can be assisted by Optical Character Recognition (OCR) systems. However, as of now, OCR software integrated with a database to handle formal documents in Indonesia has not yet been developed, especially considering the uneven access to the internet in Indonesian society. This final project aims to address the issue of digitizing formal document archiving by developing a user interface for a mobile OCR application on the Android and iOS platforms using a cross-platform development approach. This application features key functions such as document type selection, image capture, and data storage. It incorporates a fundamental interaction design with usability goals focused on efficiency and effectiveness and user experience goals centered around helpfulness and user experiencing flow. The results of usability testing include an average SEQ score of 6.72, an SUS score of 87.50, and an IMI score of 6.30, indicating the achievement of all specified usability and user experience goals. Additionally, the interface design has been successfully implemented, with all features and functionalities running smoothly, as demonstrated during user interface testing and user acceptance testing. Out of ten participants, all were able to complete all 44 test cases, confirming the suitability of the mobile OCR application for practical use.