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All Journal Jurnal Bisnis Kreatif dan Inovatif International Journal of Multilingual Education and Applied Linguistics
Hafiz Fadli Faylasuf
Unknown Affiliation
Arts Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Public Health Social Sciences

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Strategi Kreavoks dalam Mengembangkan Jasa Digital untuk Mempersiapkan Generasi Muda Menghadapi Industri 4.0 Setiady Ibrahim Anwar; Hafiz Fadli Faylasuf; Muhammad Alwan Ataya; Wien Kuntari
Jurnal Bisnis Kreatif dan Inovatif Vol. 1 No. 4 (2024): Desember : Jurnal Bisnis Kreatif dan Inovatif
Publisher : Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jubikin.v1i4.395

Abstract

With the growth of technological innovation and the shift of the digital era in various aspects of industry, the younger generation is faced with major challenges in preparing themselves for the technology-based world of work. This study focuses on Kreavoks, a digital agency that provides services such as digital skills training, SEO-optimized website creation, and branding kit design. The purpose of this study is to explore how Kreavoks develops its digital services to prepare the younger generation with the skills needed to face the challenges of Industry 4.0. Using a qualitative descriptive approach, this study analyzes the strategies implemented by Kreavoks in integrating technology, branding, and marketing to improve the digital capabilities of the younger generation. The research findings show that Kreavoks' training program improves participants' technical skills and deepens their understanding of digital branding and SEO. Despite its success, challenges such as differences in technological understanding and limited infrastructure remain obstacles. This study has an impact on the development of digital services that can prepare the younger generation to face the demands of Industry 4.0.
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): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.156

Abstract

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 preparation of low-resolution facial images, applying the ESRGAN model to enhance image resolution, and evaluating the results using metrics such as PSNR and SSIM. The findings reveal that ESRGAN significantly improves the visual details of facial images, thereby supporting better facial identification processes. These results have important implications for leveraging deep learning technology to facilitate image analysis in forensic contexts. However, challenges such as extreme noise presence require further development of methods to achieve more optimal outcomes.
Co-Authors Arya Dimas Wicaksana Asa Yuaziva Endang Purnama Giri Gema Parasti Mindara Helena Dewi Hapsari Kuntari, Wien Muhammad Alwan Ataya Rivanka Marsha Adzani Setiady Ibrahim Anwar