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Pencemaran Air dan Penentuan Titik Self-Purification Sungai di Kabupaten Banjar Zubaidah, Tien; Hamzani, Sulaiman; Arifin
Al-Ard: Jurnal Teknik Lingkungan Vol. 7 No. 1 (2021): September
Publisher : Department of Environmental engineering, Faculty of Science and Technology, Islamic State University Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/alard.v7i1.1335

Abstract

The self-purification capacity is an important indicator for a healthy river. Organic and inorganic pollutants from various pollutant sources, both point sources, and non-point sources, in most rivers in Banjar Regency, cause a decrease in river water quality. This study aims to identify the distribution of river water quality pollution in Banjar Regency as the upstream of the Martapura River and determine the point of self-purification. A sampling of river water using the purposive sampling technique, taking into account the criteria for pollutant sources and the distance of pollution. The results of the concentration values were analyzed using a trend analysis technique, which connected the value of the concentration of pollutant elements with the distance of pollution to identify the distribution of pollution, and to determine the distance of purification. The results showed that the self-purification ability (pH and DO) decreased in concentration at all observation points.
Transforming River Water Quality Monitoring: An Advanced IoT and Sensor-Based Zubaidah, Tien; Hamzani, Sulaiman; Legowo, Agung Cahyo
Al-Ard: Jurnal Teknik Lingkungan Vol. 10 No. 1 (2024): September
Publisher : Department of Environmental engineering, Faculty of Science and Technology, Islamic State University Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/alard.v10i1.2165

Abstract

Background of this research is river water quality monitoring that crucial to maintaining the sustainability of river ecosystems. In this context, Internet of Things (IoT) technology and sensors have emerged as a promising solution to enhance monitoring efficiency and accuracy. Methodology: This article describes the implementation of IoT technology and sensors for water quality monitoring in the Martapura River, Banjar Regency, South Kalimantan. Water quality parameters such as pH, turbidity, conductivity, temperature, and dissolved oxygen were measured periodically during testing. The results of this research is the developed monitoring system demonstrated satisfactory results in measuring water quality parameters with low deviation and variation levels. Moreover, the System achieved a high uptime rate, even when facing challenges such as sensor errors, WiFi connection disruptions, and power outages. The implementation of IoT technology and sensors in river water quality monitoring has positively impacted monitoring efficiency, accuracy, and reliability. These results emphasize the significant potential of this technology in supporting river ecosystem conservation efforts in the region.