The phytoremediation of Echinodorus palaefolius (Water Jasmine) in reducing BOD and COD of liquid waste - Batik Industry "X" in Pekalongan

Fitriani Nur; Isworo Slamet

doi:10.30574/gscbps.2020.12.3.0303

Authors

Fitriani Nur Departemen of Environemental Health. Faculty of Health. Universitas Dian Nuswantoro Semarang, Indonesia.
Isworo Slamet Departemen of Environemental Health. Faculty of Health. Universitas Dian Nuswantoro Semarang, Indonesia.

DOI:

https://doi.org/10.30574/gscbps.2020.12.3.0303

Keywords:

Phytoremediation, Echinodorus palaefolius, Biological oxygen demand, Chemical oxygen demand, Degradation, Linear modeling

Abstract

The "X" batik industry is a textile industry with industrial waste water discharged into water bodies which causes high pollution in the Lodji river. Data from the Environmental Office of Pekalongan on the status of biological oxygen demand (BOD) and chemical oxygen demand (COD) in the Lodji River are classified as high, namely between 2.741 – 1.464 mg/l, exceeding the quality standard <45 mg. Phytoremediation technology is an effort to reduce Biological Oxygen Demand and Chemical Oxygen Demand pollutants. This study aims to determine the ability of phytoremediation with Enchinodorus palaefolius (water jasmine) in reducing levels of biological oxygen demand and chemical oxygen demand in batik industrial wastewater "X". The method used is a quasi experiment with a non-equivalent control group design approach. Analysis of biological oxygen demand and chemical oxygen demand content using the analytical titration method. The Biological Oxygen Demand degradation modeling in treatment 1 kg, y = - 540.13 x + 2495.6, treatment 0.75 kg, y = -525.3x + 1938.7, treatment 0.5 kg y = - 515.09 x + 1923 while modeling for chemical oxygen demand reduction in treatment 1 kg, y = - 2543.7 x + 10130, treatment 0.75 kg, y = - 2500.7 x + 9913.8, treatment 0.5 kg, y = - 2578 x + 10045 Echinodorus palaefolius (water jasmine) was able to reduce Biological Oxygen Demand and Chemical Oxygen Demand levels by linear modeling on biological oxygen demand parameters with the best results on 0.5 kg treatment and chemical oxygen demand in 1.0 kg treatment

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