Sani, Sani Moch Sopian
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Enhancing Negative Film Colorization through Systematic CycleGAN Architectural Modifications: A Comprehensive Analysis of Generator and Discriminator Performance Khaulyca, Khaulyca Arva Artemysia; Arief, Arief Suryadi Satyawan; Mirza, Mokhammad Mirza Etnisa Haqiqi; Helfy, Helfy Susilawati; Beni, Beni Wijaya; Sani, Sani Moch Sopian; Ikbal, Muhammad Ikbal Shamie; Firman, Firman
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9553

Abstract

This research addresses the urgent need for deep learning-based negative film colorization technology through systematic modifications to the CycleGAN architecture. Unlike conventional approaches that focus on colorizing black-and- white images, this study targets the conversion of digitized negative film images, which present unique challenges such as color inversion and detail restoration. The dataset consists of 500 negative images (train A), 500 unpaired color images (train B), as well as 5 negative images and 5 color images for testing purposes. The entire dataset was obtained from personal scanning efforts. 19 architectural modifications were proposed and tested individually, without simultaneously implementing all changes. The primary focus was on developing network structures, without utilizing external evaluation metrics such as SSIM, PSNR, or FID. Modifications included the addition of residual blocks, alterations in filter quantities, activation functions, and inter-layer connections. The Evaluation was conducted qualitatively and based on generator and discriminator loss values. The most optimal modification (Modification 4) demonstrated significant loss reduction (G: 2.39–4.07, F: 2.82– 3.66; D_X: 0.36–0.93, D_Y: 0.15–1.39), yielding more accurate and aesthetically pleasing color images compared to the baseline architecture. The fundamental cycle consistency loss structure was maintained to ensure the unpaired training capability remained intact. This research demonstrates that careful architectural modifications can significantly enhance negative colorization results, while simultaneously creating opportunities for the future development of deep learning-based digital image restoration technologies.
Centralized Design and Analysis of Fiber Optic Communications on Universitas Garut Sani, Sani Moch Sopian; Dhami, Dhami Johar Damiri; Folin Oktafiani; Mokhammad Mirza Etnisa Haqiqi; Tri Arif Wiharso
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 2 (2025): TELEKONTRAN vol 13 no 2 Oktober 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i2.17492

Abstract

In response to the increasing digital demands in higher education, this study investigates the design and feasibility of a centralized fiber optic communication system to support high-speed, reliable, and scalable network infrastructure at Universitas Garut. The proposed system replaces legacy copper-based and wireless networks that suffer from limited bandwidth and high signal loss, with a centralized topology using ITU-T G.652.D single-mode fiber to interconnect four campus buildings. A comprehensive design process was conducted, including route mapping based on GIS data, device selection, and technical performance analysis. Link budget and rise time budget calculations were performed to evaluate power losses, signal integrity, and feasibility over distances ranging from 1.4 to 2.14 km. Results show that received power levels across all routes remain significantly above the receiver sensitivity threshold of −24 dBm, with total losses under 13 dB, and rise time values under 40 ps, far below the 4501 ps limit for NRZ systems at 155.52 Mbps. These findings confirm that the proposed architecture ensures both signal strength and timing performance without the need for amplification or dispersion compensation. The system is proven technically feasible, cost-effective, and scalable to accommodate future digital services such as VoIP, CCTV, and campus-wide high-speed internet.