Detection and Analysis of Batik Waste Using Image Processing Methods in Pekalongan Regency

Authors

  • Yusril Ihza Tachriri Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan, Jawa Tengah, Indonesia
  • Elvinda Bendra Agustina Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan, Jawa Tengah, Indonesia
  • Dian Arif Rachman Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan, Jawa Tengah, Indonesia
  • Atika Windra Sari Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan, Jawa Tengah, Indonesia
  • Imroatul Karimah Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan, Jawa Tengah, Indonesia
  • Jessika Artamevira Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan, Jawa Tengah, Indonesia

DOI:

https://doi.org/10.62411/tc.v24i4.14849

Abstract

Research was conducted on the detection of batik wastewater in the batik industry of Pekalongan, which generates liquid waste containing synthetic dyes, heavy metals, and hazardous compounds that can potentially pollute the environment if not properly treated. This study aims to develop a simple detection method based on digital image analysis to identify the color characteristics of batik wastewater. Data were obtained by sampling liquid waste from several affected rivers, which were then analyzed using a digital camera and image processing software to determine the intensity values of the red, green, and blue (RGB) channels. The results show that variations in waste concentration significantly influence the distribution of RGB values, enabling faster, cheaper, and more practical identification of pollution patterns compared to conventional laboratory methods. These findings are expected to serve as the foundation for developing a digital technology-based batik wastewater quality monitoring system as part of efforts to mitigate environmental pollution in Pekalongan.   Keywords - Batik wastewater, Digital image analysis, RGB intensity, Environmental pollution, Image processing

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Published

2025-11-28

Issue

Vol. 24 No. 4 (2025): November 2025

Section

Articles

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Copyright (c) 2025 Yusril Ihza Tachriri, Elvinda Bendra Agustina, Dian Arif Rachman, Atika Windra Sari, Imroatul Karimah, Jessika Artamevira

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