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IoT-based water quality monitoring

                of the ecosystem,  food production,  environmental   is contaminated  with wastes produced by various
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                cleanliness, crop irrigation,  and energy production.    anthropogenic sources, for example, settlements,
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                However, water consumption has increased significantly   aquaculture,  fishing  activities,  and  fish  processing
                with increasing global population and economic growth,   activities through which wastes are dumped directly into
                especially  in developing countries.  The  increasing   the  river.   The  Klampok  Sub-watershed  (Semarang)
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                population has resulted in an increase in domestic waste   pollution  index  decreased  in  2016  and  2020,  an
                in  the  form  of organic  and  inorganic  waste,  such  as   indication of the status change from moderate pollution
                detergent effluent in residential areas, which can reduce   to light pollution of the water.  The lowest dissolved
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                the water quality in receiving river waters. 13     oxygen (DO) is found in the coastal area of the Garang
                  Indonesia is a country that has very extensive coastal   Watershed Semarang compared  to other sampling
                areas because it is an archipelagic  country with a   points, likely due to the significant wastes dumped at
                coastline of 104,000 km. Ocean accounts for 70% of the   the sampling point, which is close to the coastal area. 27
                territory in Indonesia, presenting enormous economic   Based on the several studies mentioned above, water
                potential for the country. Kendal Regency is one of such   quality in those three locations must be maintained to
                coastal areas in Central Java, Indonesia.           preserve the environment and the survival of aquatic
                  Kendal Regency is ranked eighth out of 17 coastal   organisms. Water quality measurements can be carried
                regions in Central Java for its sea area.  The north   out using various methods. For example,  automated
                coast of Kendal Regency is one of the coastal areas   water quality monitoring is gaining more recognition due
                in Central Java.  The Kendal River estuary is widely   to advancements in Internet of Things (IoT) technology,
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                used for community activities such as residential area   which simplifies data collection and analysis.
                development,  industrial  activities,  fish  farms,  and   Semarang city and Kendal Regency, two coastal
                auction sites.  Aquatic biota found in Kendal waters   areas in Central Java, Indonesia, are similarly impacted
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                are shrimp (Penaeus merguiensis),  goldband goatfish   regions where sustained water quality  monitoring
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                (Upeneus moluccensis),  spotted scat (Scatophagus   is urgently needed. Conventional  water monitoring
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                argus),  anchovies (Stolephorus commersonii), tembang   methods  rely  heavily  on manual  sampling  and
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                fish  (Sardinella  fimbriata),  peperek  fish  (Leiognathus   laboratory analysis, which are often resource-intensive,
                dussumieri), mackerel (Rastrelliger sp.),  etc.     time-consuming,  and less sensitive to short-term
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                  The  territorial  boundaries  of Semarang  city  are   fluctuations.  Such  methods  are  limited  in  scalability
                bordered by Kendal Regency to the  West, Demak      and cannot support real-time environmental  decision-
                Regency to the East, Semarang Regency to the South,   making, especially in distributed or high-risk locations.
                and the Java Sea to the North with a coastline length   Therefore, an IoT-based tool was designed to monitor
                of 13.6 km. The altitude of Semarang city is between   water quality at such locations periodically. This tool
                0.75 and 348,00 above the coastline. The average air   can measure four parameters: pH, total dissolved solids
                temperature  in Semarang city in 2021 ranges from   (TDS), temperature,  and  turbidity.  These  four crucial
                26.50°C to 28.90°C. Average air humidity varies from   parameters can be used for water quality management.
                70.00% to 92.00%. Moderate air pressure ranges from   This  tool  can  measure  these  four  parameters  every
                1008.40 mb to 1011.30 mb. The average wind speed    second so that fluctuations can be detected quickly and
                differs  within  the  range  of  1.11–1.89  m/s.  Aquatic   accurately. The usage of IoT in water quality monitoring
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                biota found in Semarang city waters are barramundi   has been demonstrated in previous research for different
                (Lates  sp.),   milkfish,  Chanos chanos  (Forsskål   purposes, including maintenance of marine organisms,
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                1775),  P. Merguiensis,  Osphronemus goramy, catfish   control of ammonia levels and Arduino-based water pH
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                (Clarias sp.), etc.                                 in fish farming,  continuous water quality monitoring
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                  Previous research conducted in the Kendal Regency   and management,  enhancement of wastewater quality
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                and Semarang city areas has discovered environmental   system,  regulation of pH and temperature for catfish
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                degradation  in the aquatic  ecosystem;  for example,   cultivation,  pollution  management,  monitoring  of
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                microplastic  waste was detected  at the mouth of the   water quality  in aquaponic systems,  and designing
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                Kendal River, which could be introduced from land.    of TDS measuring instruments.  In addition to using
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                High organic material level is found in the waters of   direct  measurement  and laboratory testing  methods,
                the Jajar River Kendal estuary.  The high concentration   other computational methods like integrating advanced
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                of phosphate  in  the  Kendal  River  body is possibly   machine  learning  models  with  explainable  artificial
                due to the proximity to residential areas. This location   intelligence  (XAI) techniques  can  be  used in  water
                Volume 22 Issue 4 (2025)                        3                            doi: 10.36922/AJWEP025110069
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