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Menampilkan 1–3 dari 3 artikel
Rancang Bangun Aplikasi Edukasi Interaktif Cerita Rakyat ‘Keong Mas’ Berbasis Augmented Reality Menggunakan Unity 3D
Asa Yuaziva
Modem : Jurnal Informatika dan Sains Teknologi
Vol 3
, No 4
(2025)
The purpose of this research is to create an interactive Augmented Reality (AR)-based educational application that can display the Indonesian folktale "Keong Mas" using Unity 3D and Vuforia SDK. Due to the dominance of modern digital entertainment that is more visually appealing, the younger generation's interest in traditional folktales is declining. The choice of AR technology is based on its ability to combine three-dimensional virtual objects with the real environment in real-time, resulting...
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Analisis SWOT dalam Membangun Strategi Pemasaran yang Efektif pada Tagify
Aisya Tyanafisya
; Siti Farah Fakhirah
; Asa Yuaziva
; Wien Kuntari
Jurnal Transformasi Bisnis Digital
Vol 1
, No 6
(2024)
This study aims to analyze the internal and external factors influencing the marketing strategy of Tagify, a business engaged in the design of lanyards and ID cards. Using a descriptive qualitative analysis method, the study collects secondary data from literature reviews related to marketing strategies and SWOT analysis. The findings reveal that Tagify's strengths lie in creative design, fast production capability, and flexibility in meeting customer demands. However, the main challenges are li...
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Enhancing Low-Resolution Facial Images for Forensic Identification Using ESRGAN
Helena Dewi Hapsari
; Arya Dimas Wicaksana
; Hafiz Fadli Faylasuf
; Asa Yuaziva
; Rivanka Marsha Adzani
; Endang Purnama Giri
; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics
Vol 1
, No 4
(2024)
This research is motivated by the challenges in facial identification for forensic investigations due to poor image quality, especially from low-resolution CCTV recordings. Images with noise, low lighting, and suboptimal angles often hinder accurate facial recognition. This study aims to examine the effectiveness of the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) method in enhancing the quality of forensic facial images. The methodology consists of three main stages: data p...
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