Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Informatics Nivedita Jurnal Studi Seni Visual dan Desain: Les-Guet's
Primayani, Sang Ayu Putu
Unknown Affiliation
Arts Humanities Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Rancang Bangun Blog Berita Berbasis Laravel dan Tailwind Primayani, Sang Ayu Putu; Sanjaya, I Gede Wahyu
Journal Informatics Nivedita Vol 1 No 1 (2024): Journal Informatics Nivedita
Publisher : Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/nivedita.v1i1.4523

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sebuah blog berita berbasis web yang efisien dan menarik menggunakan framework Laravel dan Tailwind CSS. Melalui pendekatan penelitian pengembangan, penelitian ini mengikuti tahapan analisis kebutuhan, perancangan sistem, pengembangan sistem, pengujian, dan evaluasi. Hasil penelitian menunjukkan bahwa blog berita yang dikembangkan berhasil memenuhi kebutuhan pengguna dan memiliki tampilan yang modern serta responsif. Penggunaan Laravel dan Tailwind CSS mempermudah proses pengembangan serta menghasilkan sistem yang fleksibel dan mudah dipelihara. Penelitian ini memberikan kontribusi dalam pengembangan sistem informasi berbasis web, khususnya dalam bidang pengembangan blog berita. Berdasarkan hasil pengujian menggunakan Black Box Testing sistem diuji menggunakan 18 butir model pengujian dan mendapatkan hasil 100% valid, hal ini menunjukkan bahwa sistem sudah berjalan dengan baik dan dapat dipublikasikan untuk digunakan secara umum.
VISUAL ANALYSIS OF UNIVERSITY ADMISSION POSTERS USING COMPUTER VISION AND VISUAL COMMUNICATION DESIGN APPROACH Primayani, Sang Ayu Putu; Sanjaya, I Gede Wahyu
Warna Komunikasi Vol 2 No 1 (2026): Journal of Visual Art and Design Studies: Les-Guet's
Publisher : Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/lg.v2i1.6318

Abstract

The increasing use of visual media in university admissions highlights the need for systematic evaluation of promotional poster design. However, existing assessments are largely subjective and lack measurable indicators. This study aims to analyze the visual and textual characteristics of a university admission poster using a computational approach. A quantitative–descriptive visual case study was conducted using Python-based image processing, including color histogram analysis, dominant color extraction, grayscale density measurement, edge detection, and Optical Character Recognition (OCR). The results show a grayscale density of 140.31, an edge density ratio of 9.16%, and a text area ratio of 11.85%, indicating moderate visual complexity and structured layout organization. The dominant color palette and OCR results (169 words; 1,179 characters) reflect a relatively high informational load. These findings represent visual features associated with communicative design and are interpreted as theoretical proxies rather than direct measures of communication effectiveness. The study provides a computational, theory-informed framework for analyzing promotional poster design in higher education contexts.
Co-Authors Sanjaya, I Gede Wahyu