MEASUREMENT OF FE AND MN CONCENTRATIONS BASED ON IMAGE PROCESSING TECHNIQUES USING COLOR INTENSITY MEASUREMENT APPROACH
Water quality monitoring is the first step to create environmental quality with clean and healthy water sources. Various monitoring methods that are generally used such as spectrometry-based instruments certainly have various limitations, such as expensive costs, requiring a lot of reagents, sens...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/80419 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Water quality monitoring is the first step to create environmental quality with clean
and healthy water sources. Various monitoring methods that are generally used
such as spectrometry-based instruments certainly have various limitations, such as
expensive costs, requiring a lot of reagents, sensitive instruments to the
environment so that the process must be carried out in the laboratory, and takes
quite a long to get measurement results. Along with the development of population
growth and the increasing water pollutant, water quality monitoring technology
that could be operated easily, cheap, practical, quick and accurate is important to
be made. Therefore, this research is about to develope a water quality monitoring
method based on multiparameter image processing techniques. This method utilizes
the approach of color intensity, light, and number/size/shape of particles. This
research will be focus on measuring iron (Fe) and manganese (Mn) concentrations
using color intensity approach using Plugable Digital Viewer, ColorSlurp and
Microsoft Excel software by the image RGB (Red, Green, Blue) matrix as
measurement values. The correlation between parameter concentration and color
intensity obtained by transforming RGB into 1/GI values. The linear response of
the calibration curve was observed in the Fe concentration range from 0 to 2.4
mg/L with the highest correlation R2 = 0.971, and in the Mn concentration range
between 0 to 1.6 mg/L with the highest correlation R2 = 0.9432. The measurement
of Fe and Mn concentrations in surface water samples using image processing
techniques provides similar result as measurements using a UV-Vis
spectrophotometer, because there is no significant difference where the p-value
obtained is >0.05 at 95 % confidence level. This research found that image
processing techniques can be used as an effective, reliable and easy to use method
of measuring Fe and Mn concentrations. |
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