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IoT-based water quality monitoring

                it scalable for local government and community      negligible  for  most  freshwater  classification  and
                monitoring initiatives.                             compliance standards.
                                                                       This  level  of  accuracy  is  sufficient  for  practical
                3. Results and discussion                           decision-making,  particularly  in applications  such as
                                                                    early detection of contamination events or algal bloom,
                3.1. pH                                             where relative  changes  in pH are  more  important
                pH  values recorded by the IoT-based monitoring     than absolute values.   The collected  high-frequency
                                                                                        50
                system  showed strong agreement  with  reference  pH   (1  Hz)  data  reflect  temporal  granularity  that  enables
                meters across both river sites. In Banjardowo river,   environmental  managers  to observe rapid  shifts and
                the observed error margin ranged from 0.1% to 2.1%,   develop time-sensitive response strategies not feasible
                while in Buntu River, it remained  consistently close   with manual sampling methods.
                to 0.99%.  These values fall within the acceptable     The pH of Banjardowo river in Semarang is shown
                tolerance range for field-deployable pH sensors, which   in Table 2, and the pH of Buntu river, Kendal Regency,
                are  typically  ±0.2  pH  units  or  ≤2%  error  in  most   is shown in Table 3.
                environmental applications. 46,47                      Based on Table 2, Monday data were collected on
                  Minor  deviations in  sensor  readings can  be    the 1  day of measurement using the river wastewater
                                                                         st
                attributed  to  calibration  drift,  differences  in  response   monitoring  tool  at Banjardowo River in Semarang
                time under varying flow conditions, and the influence   city. On the 1  day, it can be observed that the highest
                                                                                st
                of temperature on sensor sensitivity.  Electrochemical   and the  lowest error margin were 1.3% and 0.1%,
                                                48
                pH  sensors  are  inherently  affected  by  ionic  strength,   respectively. On  Tuesday, the highest and the lowest
                surface fouling, and lag time in dynamic water bodies.    error margin were 1.4% and 0.4%, respectively. On
                                                               49
                However, the maximum observed error margin of 2.1%   Wednesday, it can be observed that the highest and the
                in this study equates to a deviation of about ±0.14   lowest error margin were 2.1% and 0.6%, respectively.
                units on a pH scale, which is a deviation considered   On Thursday, the highest and the lowest error margin

                 Table 2. Result of pH measurements in Banjardowo river, Semarang city, Central Java, Indonesia
                 No.      Day            Measurement time       pH sensors      pH meters       Difference      (%)
                 1.       Monday               10:00               6.9            6.91            0.01          0.1
                                               11:00               7.5            7.58            0.08          1.1
                                               14:00               7.7            7.61            0.09          1.2
                                               16:00               7.7             7.6             0.1          1.3
                 2.       Tuesday              9:00                 7             6.97            0.03          0.4
                                               12:00               7.5             7.4             0.1          1.3
                                               15:00               7.7            7.63            0.07          0.9
                                               16:00               7.9            7.79            0.11          1.4
                 3.       Wednesday            9:00                6.5            6.44            0.06          0.9
                                               12:00               7.8            7.75            0.05          0.6
                                               14:00               7.8            7.64            0.16          2.1
                                               16:00               7.9            7.82            0.08          1.0
                 4.       Thursday             10:00               7.6            7.56            0.04          0.5
                                               12:00               7.7             7.6             0.1          1.3
                                               14:00               7.8            7.81            0.01          0.1
                                               17:00               7.5            7.43            0.07          0.9
                 5.       Friday               9:00                6.9            6.91            0.01          0.1
                                               12:00               7.5             7.4            0.01          1.3
                                               14:00               7.8            7.64            0.16          2.1
                                               16:00               7.5            7.43            0.07          0.9




                Volume 22 Issue 4 (2025)                        7                            doi: 10.36922/AJWEP025110069
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