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All Journal Journal of Environmental Engineering & Waste Management Jurnal Serambi Engineering
Yandes Panelin
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science

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STUDI POTENSI PENYISIHAN ORGANIK PADA EFLUEN IPAL DOMESTIK DENGAN PENGGUNAAN CONSTRUCTED WETLAND (Studi Kasus : IPAL Bojongsoang, Bandung) Yandes Panelin
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 (633.638 KB) | DOI: 10.33021/jenv.v1i1.39

Abstract

Most of water we used as rinse water, for example water used for bathing, for washing hands, to wash clothes, and more, approximately 70-80% of water consumption will turn into gray water. Along with the increasing water demand, the raw water needs to be processed is increasing as well. However, the increasing need for raw water is not followed by an increase in raw water, both in quality and quantity. These conditions encourage efforts to find alternative sources of raw water which more secure than others in terms of quality and quantity. One of its efforts is by making use again (reuse) efluent from wastewater treatment. The technology will be used to process must be cheap, effective, and not difficult in treatment. Technology used in this study is constructed wetland. The purpose of this research is measuring the treatment efficiency, determining the optimum operating conditions, determining the criteria for water reuse. This research is conducted in the laboratory using a constructed wetland with type of plant is Typha latifolia. Variations are made in this study are detention time (1day, 3days amd 5 days) and type of reactors (constructed wetland & aerated constructed weland). Each reactor is given wastewater feed derived from effluent of WWTP Bojongsoang. Parameters examined in this study are COD, BOD, pH, and temperature. Measurement of COD, pH, and temperature conducted every day, while the BOD parameter are done after the reactor reaching steady state conditions. Based on the measurements, it is known that the best detention time to remove organic matter is at 5 days with efficiency between 91,2-94,9%. Aerated constructed wetland can remove organic matter better than non-aerated reactor, with good significance removal at 1 day detention time. 
Turbidity Level Prediction Based on Suspended Particle Counting Through Image Processing Approach Temmy Wikaningrum; M. Galang Alvasa; Yandes Panelin; Rijal Hakiki
Jurnal Serambi Engineering Vol 6, No 1: Januari 2021
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v6i1.2593

Abstract

Monitoring of pollutant concentrations in surface water becomes a concern, considering the utilization of surface water as the raw water for drinking water treatment plants (WTP). The fluctuation of pollutant concentrations in surface water can affect the performance of WTP. This research was conducted to assess the potential for turbidity level prediction based on the calculation of the number and surface area of suspended particles through a digital image processing approach. Measurements of the amount and surface area were carried out in the form of laboratory-scale experiments using the open source software ImageJ 1.46r. The algorithm in ImageJ can convert pixels into a number “value” and surface area through a series of digital image processing steps, henceforth compared with the existing measurement method. The results showed that there was a strong correlation between the number of particles and the concentration of formazine suspension (r = 0.9821), but does not apply to the surface area. Referring to the results of laboratory experiments, it can be concluded that the approach to measure the number of suspended particles can be the basis for predicting the turbidity level in the turbidity range 100-800 NTU, but does not apply to the turbidity range 0.02-20 NTU.
Turbidity Level Prediction Based on Suspended Particle Counting Through Image Processing Approach Temmy Wikaningrum; M. Galang Alvasa; Yandes Panelin; Rijal Hakiki
Jurnal Serambi Engineering Vol 6, No 1: Januari 2021
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v6i1.2593

Abstract

Monitoring of pollutant concentrations in surface water becomes a concern, considering the utilization of surface water as the raw water for drinking water treatment plants (WTP). The fluctuation of pollutant concentrations in surface water can affect the performance of WTP. This research was conducted to assess the potential for turbidity level prediction based on the calculation of the number and surface area of suspended particles through a digital image processing approach. Measurements of the amount and surface area were carried out in the form of laboratory-scale experiments using the open source software ImageJ 1.46r. The algorithm in ImageJ can convert pixels into a number “value” and surface area through a series of digital image processing steps, henceforth compared with the existing measurement method. The results showed that there was a strong correlation between the number of particles and the concentration of formazine suspension (r = 0.9821), but does not apply to the surface area. Referring to the results of laboratory experiments, it can be concluded that the approach to measure the number of suspended particles can be the basis for predicting the turbidity level in the turbidity range 100-800 NTU, but does not apply to the turbidity range 0.02-20 NTU.
Co-Authors M. Galang Alvasa Rijal Hakiki Temmy Wikaningrum