Perubahan kualitas air pada perairan umum seperti Sungai Cisadane mengalami dinamika yang cepat akibat besarnya beban pencemar dari aktivitas masyarakat di sepanjang sungai. Perubahan kualitas air yang cepat ini menuntut diterapkannya inovasi pemantauan kualitas air secara online untuk mengetahui kualitas air sungai dan memperkirakan indikasi sumber pencemaran secara lebih cepat dan realtime, sehingga dapat mencegah pencemaran yang semakin meningkat. Penelitian ini berfokus pada laporan pemantauan kualitas air Sungai Cisadane secara online menggunakan sistem telemetri Onlimo. Sensor yang digunakan terdiri sensor suhu, daya hantar listrik, TDS, kekeruhan, DO, pH, dan nitrat yang ditempatkan di 3 stasiun Sungai Cisadane. Data hasil pemantauan dikirim dan diolah secara online kemudian dianalsis dengan menggunakan metode STORET. Hasil analisis menyatakan bahwa secara umum kondisi kualitas air Sungai Cisadane dalam katagori tercemar sedang, sehingga tidak memenuhi baku mutu peruntukan Kelas II, tertutama untuk parameter TDS, DO, pH dan nitrat.
In global industrial era, more than 70% industrial growth especially in Java will centrally around urban region. This matter can increase the environmental pollution as long as the progress of industry and technology development. Central and regional governments have continued to cope with the environmental pollution problem, although many environmental cases difficult to be resolved. This matter caused by the limited ability of observation technology and monitoring which conducted by the relevant institution and also because of the limited existing fund which allocated for the environment management. To increase the ability of environmental quality observation and monitoring technology in this time, we need the role of information and computation technology which can be used to observe and monitor online the source of pollution that resulting the environmental damages. To support this article we used the data of the case of information technology usage by the environmental institution in Japan. Katakunci : Online monitoring, pengelolaan Llngkungan perairan, teknologi Informasi dan komputasi, sensor kualitas air.
Tegal is a maritime town that mostly its resident has living as fisherman. Most existing industry in this town is fishery industry. Besides fishery industry, other small industrial also produce waste water which together with domestic waste water partake to contaminate Gung river, Sibelis river, Kemiri river and other channel which pass through Tegal town. Tegal town government trough the Office Operation of Environmental Impact (KEPADEL) have conducted various effort to reduce the impact of environmental contamination by giving counseling, training and other compilation of book containing information technology and technical guidance of waste water management to industrial activity exist in Tegal. With construction which continues to be conducted by KAPEDAL, we expected that the environmental quality in this town will change with progressively goodness. Kata Kunci : Kawasan Industri, Limbah Cair Industri, Pencemaran Lingkungan, InformasiTeknologi Pengelolaan Limbah.
Environmental pollution that happened around us in this time have resided in condition of concerning. The environmental quality recovering is not only becoming responsibility of government, but becoming responsibility of all society, especially who was causing the environmental pollution itself. Some metropolitans like Jakarta has domestic waste as dominant waste, which is not dominant hostpital waste also contributes environmental pollution in Jakarta.To decrease the pollution level of wastewater from hospital, the government of Jakarta has published the environmental regulation. The regulation contains how the hospitals in Jakarta should manage and process their wastewater. This article explain about the design and development of database system for managing the data of hospital wastewater quality, so the observation process of wastewater quality from the wastewater treatment plant for the hospital can be monitored easily and known immediately. Katakunci : database kualitas air, kualitas air limbah rumah sakit, IPAL rumah sakit, sistem manajemen basis data.
The multiprobe sensor technology used in online water quality monitoring systems can produce water quality measurement data from several parameters at once quickly and in large quantities. The accuracy of the data is highly dependent on the quality of the river water being monitored and the performance of the probe on the sensor used. The worse the water quality and the decreased performance of the sensor probe, cause the reading of data by the sensor can produce inappropriate anomalous data. Anomalous data can cause water quality analysis to be invalid, therefore we need an Artificial Intelligence (AI) application to filter anomalous data by developing computational algorithms that can provide learning for computers to identify data generated and sent to data center servers. The algorithm method was developed using several mathematical logic models using real conditions and existing needs both in terms of regulations and historical data on water quality monitoring. By applying this algorithm, the computer can have artificial intelligence in analyzing data more accurately with monitoring data that matches the range of sensor measurement capabilities, so this method can guarantee the quality of online monitoring data.
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