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Journal : IPTEK The Journal for Technology and Science

Aeration - Advanced Filtration (AAF) Treatment for Reducing Iron and Chloride in Natural Groundwater Nur Aini Febriyana; Ali Masduqi
IPTEK The Journal for Technology and Science Vol 31, No 2 (2020)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v31i2.5581

Abstract

The production of drinking water for the needs of rural communities generally stilldepend on natural water sources. Communities in rural areas usually use groundwaterfor their daily needs. The water supply in Sampang Regency, East Java Provincehas groundwater problem, i.e. the amount of iron and chloride in the water supplyexceed the maximum amount allowed by PERMENKES No. 492/2010. Therefore,this study proposes a method for drinking water treatment using diffused aeration,as pretreatment, and followed by filtration processing. This pretreatment is meantfor reducing iron. The filtration process is carried out in stages with an advancedfilter of low continuous discharge. The filter media uses resin activated carbon andmicrofiltration to remove suspended and dissolved ions. The results of aeration andfiltration processing (AAF) shows that the preprocessed water have Cl-removal of98.39%, TDS-removal of 97.394%, and iron-removal of 97.41%
Estimation of Surabaya River Water Quality Using Kalman Filter Algorithm Ali Masduqi; Erna Apriliani
IPTEK The Journal for Technology and Science Vol 19, No 3 (2008)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v19i3.145

Abstract

According to previous studies on Surabaya River water, quality of this river water was very bad or on polluted condition. This conclusion was based on monitoring data of water quality at several monitoring points. Because of river water quality is a fluctuative condition, many monitoring data are needed. While, monitoring of Surabaya River water quality was done routinely at nine monitoring points. Amount of the monitoring point is not enough when data will be used for determining water quality condition. For this reason, it is need to develop a method to estimate overall river water quality based on a little amount of data. One of estimation method is Kalman filter, an algorithm that combines a model and a measurement. The experiment of Kalman filter algorithm was conducted. The results were accurate and closely with a measurement. Based on the results, application of Kalman filter algorithm will help to predict water quality for the future and to estimate overall water quality along of river, although amount of measurement data is a little.