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Deteksi Penyakit Mata Merah Menggunakan Histogram Oriented Gradient dan Support Vector Machine Siti Sarah Abdullah; Syamsy Wiguna Putra Dwi Raksa
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

The health sector has adopted Information Technology to help medical expert work easier, include ophthalmologists. An Ophthalmologists diagnoses red eyes with test series to determine diseases of the eye. It takes time and accuracy. Further searching, it turns out that red eyes have a pattern that indicates a certain disease. The research idea is to identify red eye patterns, which is done by identifying patterns in red eye disesase using the Histogram Oriented Gradient (HOG). As a sample, two cases of red eye disease were taken: conjunctival injection and ciliary injection. First step is preprocessing stage, which is specifying the image according to the needs, then converting the colored object to grayscale, then croped and resized it. Next step is calculated gradient of pixels. Result of the resaeGradients resulted classified using Support Vector Machine. The result obtained from the study, could be detected conjunctival injection and ciliary injection based on classification
Digital Ecoprint Catalog Based on Virtual Try On for Cianjur’s Creative Industry Sri Widaningsih; Siti Sarah Abdullah; Ida Fitriani; Nanda Maulana; Rommy Aria Nugraha; Galuh Pauline Nugraha
Jurnal Ilmiah Media Sisfo Vol 20 No 2 (2026): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2026.20.2.2998

Abstract

The ecoprint industry in Cianjur faces digital marketing challenges due to the limitations of conventional two-dimensional product presentations in representing textures, colors, and characteristics. This study aims to develop an interactive digital ecoprint catalog integrating three-dimensional visualization, Augmented Reality (AR), and Virtual Try-On (VTO). Unlike previous studies focusing on specific product categories, this research integrates these technologies into a digital catalog for facial accessories, including headbands, scarves, and slayers, while highlighting Cianjur’s distinctive ecoprint motifs as representations of local creative identity. The Design Thinking method was applied through five stages: empathize, define, ideate, prototype, and test. The resulting prototype features product information, 3D visualization, AR View, VTO, and shopping cart functionality. Black-box testing involving 45 test cases across six functional modules, of which 43 were valid and two were invalid, yielding a functional compliance rate of 95.6%. User experience was assessed using the User Experience Questionnaire (UEQ), producing an overall mean score of 1.47. Stimulation achieved the highest score (1.71), while Novelty received the lowest score (1.09), although all six dimensions showed positive mean scores. These findings indicate that the prototype provides functional support for interactive ecoprint product presentation and receives generally positive user experience evaluations.