Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Jurnal Riset Informatika
Dwi Rosa Indah
Sriwijaya University
Computer Science & IT Electrical & Electronics Engineering

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Design of Digital Library Prototype Using The Design Thinking Method Miftahurrohmah Haque; Dwi Rosa Indah
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.442

Abstract

According to UNESCO (United Nations Educational, Scientific and Cultural Organization), Indonesian people's reading literacy interest has a literacy percentage of 0.001%, which means that out of 1.000 people, only one person likes to read. The digital reading movement attracts people's reading interest, especially with a digital library. Lahat District Library Service wants to re-establish a digital library that has been removed. By paying attention to usability and user experience, a digital library prototype design is carried out to develop the application to get user experience results with a good level of success and satisfaction. The method used is Design Thinking, which aims to design usable and valuable solutions by focusing on user needs. The results of the usability testing analysis of the digital library prototype created using the User Experience Questionnaire (UEQ) get "Excellent" in six aspect categories: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty.
Allergen detection based on food packaged products for eczema patients using optical character recognition method Dian Palupi Rini; Riska Tri Mardilah; Muhammad Qurhanul Rizqie; Dwi Rosa Indah; Alvi Syahrini Utami; Jovanic Morgan
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.9739

Abstract

Eczema, also known as dermatitis, is a chronic skin condition that causes recurring episodes of dry and itchy skin. It can be managed through medication and by avoiding triggers like stress and certain foods. To help patients avoid food-related triggers, researchers conducted a study to detect allergenic food compositions in packaged products using optical character recognition (OCR) techniques, specifically open computer vision (OpenCV) and Tesseract. The study involved analyzing 120 images of food labels. The process included several steps: preprocessing the images by converting them to a text-friendly format (gray scaling, denoising, and thresholding), using Tesseract for text detection, followed by case folding and tokenization. The results showed that the system achieved an average text detection accuracy of 61.88% and an average allergen detection accuracy of 83.06%. The highest accuracy for text detection was 78.52%, and the highest accuracy for allergen detection was 100%. These findings suggest that OCR techniques can be a useful tool for helping eczema patients manage their diet and minimize flare-ups.
Co-Authors Alvi Syahrini Utami Dian Palupi Rini Jovanic Morgan Miftahurrohmah Haque Muhammad Qurhanul Rizqie Riska Tri Mardilah