Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image
The integration between technology of remote
sensing, information from the data of digital image, and modeling
technology for the simulation of water quality will provide easiness
during the observation on the quality of water changes on the river
surface. For example, Ciliwung River which is contaminated with
non-point source pollutant from household wastes, particularly on its
downstream. This fact informed that the quality of water in this river
is getting worse. The land use for settlements and housing ranges
between 62.84% - 81.26% on the downstream of Ciliwung River,
give a significant picture in seeing factors that affected the water
quality of Ciliwung River.
[1] Marganingrum, Dyah, "Studi Perilaku Dinamis Ketersediaan Air Sungai
Brantas dalam Memenuhi Kebutuhan Air Baku dan Menanggung Beban
Pencemaran dengan Pendekatan Metodologi Sistem Dinamis," Thesis, in
ITB Industrial Engineering Department Library, Bandung: Institut
Teknologi Bandung (ITB), 2000.
[2] Mukhaiyar, Riki, "Pengembangan Fungsi Sistem Klasifikasi Citra Satelit
Untuk Aplikasi Sistem Informasi Geografis," Thesis, in ITB Electrical
Engineering Department Library, Bandung: Institut Teknologi Bandung
(ITB), 2003.
[3] Regional Action Plan Prokasih Vision of Ciliwung River 2005,
Bappedalda DKI Jakarta, Jakarta, September 2001.
[1] Marganingrum, Dyah, "Studi Perilaku Dinamis Ketersediaan Air Sungai
Brantas dalam Memenuhi Kebutuhan Air Baku dan Menanggung Beban
Pencemaran dengan Pendekatan Metodologi Sistem Dinamis," Thesis, in
ITB Industrial Engineering Department Library, Bandung: Institut
Teknologi Bandung (ITB), 2000.
[2] Mukhaiyar, Riki, "Pengembangan Fungsi Sistem Klasifikasi Citra Satelit
Untuk Aplikasi Sistem Informasi Geografis," Thesis, in ITB Electrical
Engineering Department Library, Bandung: Institut Teknologi Bandung
(ITB), 2003.
[3] Regional Action Plan Prokasih Vision of Ciliwung River 2005,
Bappedalda DKI Jakarta, Jakarta, September 2001.
@article{"International Journal of Information, Control and Computer Sciences:64311", author = "Riki Mukhaiyar", title = "Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image", abstract = "The integration between technology of remote
sensing, information from the data of digital image, and modeling
technology for the simulation of water quality will provide easiness
during the observation on the quality of water changes on the river
surface. For example, Ciliwung River which is contaminated with
non-point source pollutant from household wastes, particularly on its
downstream. This fact informed that the quality of water in this river
is getting worse. The land use for settlements and housing ranges
between 62.84% - 81.26% on the downstream of Ciliwung River,
give a significant picture in seeing factors that affected the water
quality of Ciliwung River.", keywords = "Digital Image, Digitize, Landuse, Non-Point SourcePollutant, Qual2e Simulation", volume = "5", number = "7", pages = "780-6", }