Article Per Year (5 Year)
p-Index From 2021 - 2026
0.702
P-Index
This Author published in this journals
All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Journal of Environmental Engineering & Waste Management Jurnal Serambi Engineering
Rijal Hakiki
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Energy Engineering Environmental Science

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Environmental Engineering

 1 
The Utilization OpenCV to Measure the Water Pollutants Concentration Riri Asyahira Sariati Syah; Rijal Hakiki
Journal of Environmental Engineering and Waste Management Vol 6, No 2 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v6i2.1475

Abstract

Abstract. 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. Objectives: This study identify the potential of colorimetry analysis method by using OpenCV as an alternative method for pollutant concentration measurement. Method and results: 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. Conclusion: 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
Development of Multiple Linear Regression Model to Predict COD Concentration based on West Tarum Canal Surface Water Quality Data Julio Putra David; Rijal Hakiki
Journal of Environmental Engineering and Waste Management Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v6i1.1416

Abstract

Abstract. COD level indicates the organic matter pollution in water. A predictive analysis, such as Multiple Linear Regression, could be an option to make the COD measurement more effective.  Objectives:This research aims to determine the parameter that can predict COD concentration using correlation analysis and develop a Multiple Linear Regression Model for predictive analysis on COD level in the West Tarum Canal surface water. Method and results: The correlation analysis is done in Microsoft Excel using the Pearson Product Moment Correlation Analysis. The water quality dataset is inputted to the R Studio and made the MLR model. The model is validated using t-Test. The result showed that all models in all intake points are not showing good prediction results, and the predictors showed no effect on the COD level. Conclusion: The Multiple Linear Regression is not a fit tool for predicting the COD in the West Tarum Canal surface water. Abstract[rh1] . COD level indicates the organic matter pollution in water. A predictive analysis, such as Multiple Linear Regression, could be an option to make the COD measurement more effective.  Objectives[rh2] :This research aims to determine the parameter that can predict COD concentration using correlation analysis and develop a Multiple Linear Regression Model for predictive analysis on COD level in the West Tarum Canal surface water. Method and results[rh3] : The correlation analysis is done in Microsoft Excel using the Pearson Product Moment Correlation Analysis. The water quality dataset is inputted to the R Studio and made the MLR model. The model is validated using t-Test. The result showed that all models in all intake points are not showing good prediction results, and the predictors showed no effect on the COD level. Conclusion[rh4] : The Multiple Linear Regression is not a fit tool for predicting the COD in the West Tarum Canal surface water.  
MIKROALGA SEBAGAI BIOINDIKATOR KUALITAS AIR PERMUKAAN Studi Awal : Hubungan Antara Konsentrasi Pigmen dan Berat Kering dalam Penentuan Kandungan Mikroalga Pada Sampel Air Artifisial Rijal Hakiki
Journal of Environmental Engineering and Waste Management Vol 1, No 1 (2016)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.418 KB) | DOI: 10.33021/jenv.v1i1.41

Abstract

Abstract: Microalgae is the one of aquatic organism wich can be a bioindicators for surface water quality. Chlorophyll contain in a microalgae cell can be measured to know the abundance of microalga in a water body. Dry-weight biomass measurements is another method that can be used to know the abundance of microalga in a water body. both method have advantages and disadvantanges of each. In chlorophyll concentration measurements, the present of other compounds that can absorb light spectrum at measurements wavelength (Strickland and Parsons use 665 nm, 645 nm and 630 nm) result absorbance value higher than it should be. Turbidity level result by suspended particle content being a problem for dry-weight biomass measurements. Dry-weight biomass determination based on the approximation of chlorophyll content measurements was studied in this research.  The Results of simple regression analysis showed that there is a fairly strong positive correlation between chlorophyll content and dry-weight biomass (Ra = 0.870), which has the tendency to follow the linear regression equation y = 302,35x + 17,121. Dry-weight determination based on approximation of clorophyll content can be applied to the sample of water that has suspended particle content tend to be constant and inert (did not produce subtances that can react with organic solvent when chlorophyll extraction process occurred). Based on the processed datas, it can be conclude that the influence of another suspended particle content in a sample of water is not statistically significant.
Co-Authors Julio Putra David M. Galang Alvasa Riri Asyahira Sariati Syah Temmy Wikaningrum Yandes Panelin