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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS Jurnal Sains dan Seni ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Gamatika Jurnal Matematika & Sains Prosiding Seminar Matematika dan Pendidikan Matematik Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Purifikasi InPrime: Indonesian Journal Of Pure And Applied Mathematics Science Nature Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) CGANT JOURNAL OF MATHEMATICS AND APPLICATIONS Indonesian Journal of Applied Mathematics Limits: Journal of Mathematics and Its Applications International Journal of Computing Science and Applied Mathematics-IJCSAM
Erna Apriliani
Departemen Matematika Institut Teknologi Sepuluh Nopember
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Other

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Journal : IPTEK The Journal for Technology and Science

 1 
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.
Co-Authors Abduh Riski, Abduh Adam Adam Adam Adam Agus N.A. Syarifuddin Agustin, Diah Ali Masduqi Amelia Margaretha Santoso Annisa Rahmita Soemarsono Arief Baihaqi Arief Baihaqi Aulia Siti Aisjah Bambang Sugandi bandung Arry Sanjaya Chairul Imron, Chairul Devi Yolanda Diah Agustin Dian A Merdekawati Didik Khusnul Arif Dieky Adzkiya Endah Rokhmati Merdika Putri Evita Purnaningrum Evita Purnaningrum Faridatul Masruroh Guisheng Zhai Hartatiati, Sri Suprapti Helisyah Nur Fadhilah Hendro Nurhadi Hendro Nurhadi I Gst Ngr Rai Usadha Lukman Hanafi Mahmud Yunus Mardlijah - Miftakhul Janah Seftia Agustina Mohamad Ilham Dwi Firmansyah Mohammad Isa Irawan Muhammad Fahmi Muzaki Nathanael Leon Gozali Ngatini Ngatini Ngatini, Ngatini Nuri Wahyuningsih Radisha Fanni Sianti Reni Sundari Resi Arumin Sani Rifki Ilham Baihaki Riska Aprilia Riska Aprilia, Riska Ronando, Elsen Sadjidon Sadjidon Sanjaya, Bandung Arry Sentot Didik Surjanto Shaffiani Nurul Fajar Soleha Soleha Teguh Herlambang Tomy Kurniawan Tri Juliana Permatasari Vivien Maulidya Wiwit Ratnasari Wiwit Sofiyanti Budiono Yoga Faisal Aminnudin Yunus, Mahmud