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  Estimation of Surabaya River Water Quality Using Kalman Filter Algorithm  
Diupload oleh : Ali Masduqi, ST., MT., Dr.
Pengarang : Ali Masduqi dan Erna Apriliani
Tahun : 2008
Dipublikasikan di : IPTEK, The Journal for Technology and Science, Vol. 19, No. 3, August 2008
Jenis Jurnal : Jurnal Tidak Terakreditasi
Eksternal Link : http://
Bidang Penelitian : Water Modelling
Abstrak : 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 monitor-ing data of water quality at several monitoring points. Be-cause of river water quality is a fluctuative condition, many monitoring data are needed. While, monitoring of Suraba-ya River water quality was done routinely at nine monito-ring points. Amount of the monitoring point is not enough when data will be used for determining water quality con-dition. For this reason, it is need to develop a method to es-timate 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. Ba-sed on the results, application of Kalman filter algorithm will help to predict water quality for the future and to esti-mate overall water quality along of river, although amount of measurement data is a little.
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