<strong>Aim:</strong> This study aims to observe the potential implementation of analytical methods based on digital image processing as an alternative method of colorimetric analysis that can be implemented in site. <strong>Methodology and Results:</strong> Pt-Co standard series solutions at concentrations of 5, 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100 concentration units (CU) were measured by spectrophotometric method and digitally enhanced colorimetric (DEC) method to obtain a response in the form of absorbance (Abs) and area under curve (AUC) value. Absorbance measurement was carried out at 317.5 nm (λ max). The AUC value was obtained from the 3-point RGB value measurements, made average so that a color band is produced, then quantified by translating the color band intensity into the response curve in ImageJ software. The Abs and AUC values of artificial samples are processed into CU values with linear equations resulting from linear regression test. The results of the calculation of CU values from the two measurement methods were tested using independent t test method to examine significant differences between the two measurement methods. <strong>Conclusion, significance and impact study:</strong> Coefficient of determination (R2) plot CU VS AUC = 0.8638, in independent t test was obtained p-value = 0.4246 at the 95% confidence level. Therefore, it can be concluded that digitally enhanced colorimetric could be used to determine water quality, especially color parameter in site measurement.

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<strong>Abstract. </strong>Intensive water quality determination needs to be adjusted with technological developments to meet today's society's needs and increased water pollution due to urbanization. Therefore, early detection is essential for in site water quality determination and as a critical consideration in making health and environmental decisions. OpenCV is a library programming feature for Computer Vision which focuses on extracting information from images in real-time, this can be considered to be potential to measure the pollutant concentration. <strong>Objectives:</strong> This study identify the potential of colorimetry analysis method by using OpenCV as an alternative method for pollutant concentration measurement<strong>. Method and results:</strong> First stage, this study collecting the data of NH3 phenate and Pt-Co CU from the spectrophotometer. The first stage also was including the development of an OpenCV code. Then, the data was collected were processed to get the concentration of NH3 and Pt-Co both using OpenCV and spectrophotometer; factors that influence the Pt-Co sample image measurement process by using OpenCV-Python was analyzed too. Then in the analysis stage, the result of the two measurement method was tested by statistic determine its significant difference. The conclusion found whether OpenCV could be potential to measure the pollutant concentration or not. <strong>Conclusion:</strong> the OpenCV has potential to be use as alternative colorimetry measurement method to determine water pollutant as there is no significant difference in the spectrophotometric method results and the results from OpenCV for Pt-Co sample.  Meanwhile, in this study found that the result of NH3 from spectrophotometer is nonlinear different with from OpenCV that is linear. Thus, further research is needed to test the validity of OpenCV method.  The factor influence of measurement using OpenCV code is when determining the Region of Interest (ROI) and determining the pixel values for the normalized box filter

<p align="justify">In recent years, concerns regarding to wastewater sludge disposal have increased globally. Production of sludge has increased recently due to the growth of population. Wastewater sludge classified as a hazardous substance, it is not easy to dispose because of certain treatment is required. Typically, sludge is treated at secured landfill which its limited in availability and expensive. On the other hand, wastewater sludge originated from biological treatment contains organic substance that can be converted into alternative energy resources. A technology is needed that is able to reduce the volume of sludge and convert sludge into energy source. We present an overview of various technologies that can be used for conversion of sludge into energy resources. Those technologies are anaerobic digestion, pelletization, combustion, pyrolysis and gasification. Progress and challenges of each technology is presented in detail. A summary of sludge characteristic originated from different source will be discussed as well. Emissions and residues that determines the environmental impact is also considered. Referring to some previous research, it known that wastewater sludge, as unwanted product, has the potential to become future energy resource. This potential can only be used properly if the method of conversion are effective and efficient.</p>