Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi
Azka Nazhan Ristiani
Institut Teknologi dan Sains Nahldatul Ulama Pekalongan, Jawa Tengah, Indonesia
Computer Science & IT Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Image Histogram Analysis in a Webcam-Based Non-Ionizing Tomographic System for Early Shrimp Disease Detection Yusril Ihza Tachriri; Dian Arif Rachman; Yuni Lestiani; Elvinda Bendra Agustina; Atika Windra Sari; Muhammad Rofiqul A’la; Rif’atun Romadhoni; Azka Nazhan Ristiani
Techno.Com Vol. 25 No. 3 (2026): August 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i3.16203

Abstract

This study presents the development of a non-ionizing tomography imaging system using a webcam to detect diabetes-like metabolic disorders in Litopenaeus vannamei through digital image histogram analysis. The method employs controlled glucose injections (0–10 mL) to simulate metabolic variation, followed by optical image acquisition and RGB histogram characterization using Python-based GUI software. Calibration with a white-screen baseline ensures consistent optical response. Results show significant RGB histogram shifts correlating with glucose concentration changes, indicating optical density variations in shrimp tissues. The RGB mean intensity decreased by approximately 20–35% between 0 and 6 mL glucose concentration. Linear regression analysis within the 0–6 mL range yielded a sensitivity of 11.48 intensity units/mL with R² = 0.987, and an estimated detection limit of 0.4 mL equivalent glucose change. The method demonstrates potential as a non-invasive, low-cost diagnostic tool for early metabolic disorder detection in aquaculture.   Keywords - non-ionizing tomography, RGB histogram analysis, Litopenaeus vannamei, glucose detection, digital image processing
Co-Authors Atika Windra Sari Dian Arif Rachman Elvinda Bendra Agustina Muhammad Rofiqul A’la Rif’atun Romadhoni Yuni Lestiani Yusril Ihza Tachriri