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Ecotrophic, Journal of Environmental Science
Published by Universitas Udayana
ISSN : 19075626     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Ecotrophic, Journal of Environmental Science (ISSN : 1907-5626) atau yang disingkat EJES, merupakan media publikasi bagi hasil-hasil penelitian, artikel dan resensi buku dibidang ilmu lingkungan. EJES adalah peer-reviewed dan open access jurnal, diterbitkan dua kali setahun yaitu bulan Mei dan September oleh Program Studi Ilmu Lingkungan, Program Pascasarjana Universitas Udayana.
Arjuna Subject : -
Articles 12 Documents
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Search results for , issue "Vol 7 No 2 (2012)" : 12 Documents clear
PENGGUNAAN LUMPUR AKTIF UNTUK MENURUNKAN KADAR Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), dan LOGAM BERAT JENIS TIMBAL (Pb) dan CADM IUM (Cd) PADA LIMBAH CAIR PENCELUPAN INDUSTRI BATIK RAFICHA RACHMA; I W REDI ARYANTA; I.W. Kasa
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 7 No 2 (2012)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

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Abstract

In the production process, batik dyeing industry use a lot of water and chemicals in the coloring or dyeing fabric dyeing wastewater batik. Batik dyeing waste industry typically have concentrations of chemical oxygen demand (COD) and biological oxygen demand (BOD) and heavy metals that exceed quality standards set by the government. In an effort to overcome the problems posed by wastewater, the wastewater treatment process must be done before the waste is discharged into aquatic environment. One of the biological wastewater treatment system that is able to reduce levels of contamination are industrial wastewater is activated sludge system. This research was conducted to determine the optimal time and time effectiveness of treatment with activated sludge to reduce levels of COD, BOD, and Pb in the batik industry wastewater. In this research using activated sludge by taking a fixed volume on sampling from hour o to hour 24 so as to produce organic compounds that remain much lower concentrations can result in COD, BOD, and Pb. This is because the longer the settling time of the volume of waste activated sludge with variable sampling and at the same time a decrease in the percentage levels of COD, BOD, and Pb greater. The results of this research found that activated sludge best influence in lowering the levels of COD, BOD, and Pb. This is due to the activity of microorganisms that have given nutrient and insufficient oxygen in aeration process with the longest time that the ability of the microbes in the sludge to oxidize organic materials with the highest effectiveness in the waste. After going through treatment with activated sludge showed that the optimal time of activated sludge treatment to decrease the levels of COD in wastewater dyeing batik industry is 12 hours, the reduced levels of BOD is 12 hours, and to decrease levels of Pb is 8 hours.
BOTTOM TYPES IDENTIFICATION IN SHALLOW CORAL REEF ECOSYSTEMS USING IMAGERY SATELLITE DATA MASITA DWI MANDINI MANESSA; TASUKU TANAKA; Takahiro Osawa
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 7 No 2 (2012)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

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Abstract

Satellite data provide information about spectral signatures of objects in detail, based on the wide range of spectral wavelengths. Bottom types in a coral reef Ecosystems are diverse and each object has a different spectral signature. The aim of this research is to define bottom types using Multispectral and Hyperspectral imagery satellite data. Six processes were applied to Hyperspectral Images to identified bottom types using modification of Analytical Imaging and Geophysics LLC (AIG) hyperspectral analysis. The multispectral analysis was focused on correcting water column noise by applying the radiative water column algorithm (Lyzenga, 1978, 1981) and the modified image correction algorithm (Lyzenga et al., 2006). The results showed that multispectral image analysis was able to identify a fine complexity of b bottom types classes with 68.57% overall accuracy. In contrast, Hyperion image identified a coarse complexity of bottom types classes with 61.57% overall accuracy. This low result was caused by low spatial resolution which created a mixing pixel around image of thin and narrow shallow coral reef ecosystem. Spatial resolution, atmosphere and water scattering played an important role in bottom types identification.

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