Geographic Information System for a Community-Based Water Quality Mapping of Rivers in Indonesia
Corresponding Author(s) : Shofwatul ‘Uyun
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol. 5, No. 3, August 2020
Abstract
River Water with good quality status is the primary needs for the Indonesian people who live along the river. Indonesia has more or less 303 rivers with varied status of water quality. On the other side, the government is obliged to conduct the current situation mapping and to spread the status of river water quality to the surrounding society. It is certainly not an easy job considering the amount and width of the monitoring area. Therefore, this research has proposed a new concept to map the status of river water quality using the STORET method by involving the active participation of the local river community. The locations of research are: Kambaniru river, Brantas river, dan Gajah Wong river. There are seven parameters used to determine the status of river water quality those are: temperature, EC/DHL, TDS, PH, DO, BOD and Caliform. The river community can report the data of analysis result into a system in accordance with the sampling location by enclosing the spatial data. The system will present the status of water quality starting from each point of location to the status of water quality of certain river. The testing result functionally indicates that the system is able to give perfect accuration value. While from its usability, the respondents’ responses are as follows: very agree 60.40%, agree 37.95%, and disagree 1.65%.
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
- T. Carlson and A. Cohen, “Linking community-based monitoring to water policy: Perceptions of citizen scientists,” J. Environ. Manage., vol. 219, pp. 168–177, 2018. https://doi.org/10.1016/j.jenvman.2018.04.077
- C. Team et al., Fresh Water for the future, June. United Nations Environment Programme, 2012.
- S. F. Elbeih, “An overview of integrated remote sensing and GIS for groundwater mapping in Egypt,” Ain Shams Eng. J., vol. 6, no. 1, pp. 1–15, 2015. https://doi.org/10.1016/j.asej.2014.08.008
- S. Noorjannah Ibrahim, A. L. Asnawi, N. Abdul Malik, N. F. Mohd Azmin, A. Z. Jusoh, and F. N. Mohd Isa, “Web based water turbidity monitoring and automated filtration system: IoT application in water management,” Int. J. Electr. Comput. Eng., vol. 8, no. 4, pp. 2503–2511, 2018. https://doi.org/10.11591/ijece.v8i4.pp2503-2511
- E. A. R. Hussein and M. O. Waheed, “Fuel station monitoring and automation based on WSN,” Int. J. Electr. Comput. Eng., vol. 8, no. 5, pp. 3647–3656, 2018. https://doi.org/10.11591/ijece.v8i5.pp3647-3656
- A. D. Sutadian, N. Muttil, A. G. Yilmaz, and B. J. C. Perera, “Development of a water quality index for rivers in West Java Province, Indonesia,” Ecol. Indic., vol. 85, no. November 2017, pp. 966–982, 2018. https://doi.org/10.1016/j.ecolind.2017.11.049
- D. Sutjiningsih, “Water Quality Index for Determining the Development Threshold of Urbanized Catchment Area in Indonesia,” Int. J. Technol., vol. 8, no. 1, p. 143, 2017. https://doi.org/10.14716/ijtech.v8i1.3971
- Z. Wu, D. Zhang, Y. Cai, X. Wang, L. Zhang, and Y. Chen, “Water quality assessment based on the water quality index method in Lake Poyang: The largest freshwater lake in China,” Sci. Rep., vol. 7, no. 1, pp. 1–10, 2017. https://doi.org/10.1038/s41598-017-18285-y
- N. V. Sidabutar, D. M. Hartono, T. Edhi, B. Soesilo, and R. C. Hutapea, “The quality of raw water for drinking water unit in Jakarta-Indonesia,” AIP Conf. Proc., vol. 10, no. 1, 2017. https://doi.org/10.1063/1.4978140
- K. A. Shah and G. S. Joshi, “Evaluation of water quality index for River Sabarmati, Gujarat, India,” Appl. Water Sci., vol. 7, no. 3, pp. 1349–1358, 2017. https://doi.org/10.1007/s13201-015-0318-7
- D. Jubaedah, S. Hariyadi, I. Muchsin, and M. M. Kamal, “Water Quality Index of Floodplain River Lubuk Lampam South Sumatera Indonesia,” Int. J. Environ. Sci. Dev., vol. 6, no. 4, pp. 252–258, 2015. https://doi.org/10.7763/IJESD.2015.V6.600
- A. Rahim and T. R. Soeprobowati, “Water pollution index of Batujai reservoir, Central Lombok Regency-Indonesia,” J. Ecol. Eng., vol. 20, no. 3, pp. 219–225, 2019. https://doi.org/10.12911/22998993/99822
- G. R. Barokah, F. Ariyani, and T. H. Siregar, “Comparison of Storet and Pollution Index Method to Assess the Environmental Pollution Status: A Case Study from Lampung Bay, Indonesia,” Squalen Bull. Mar. Fish. Postharvest Biotechnol., vol. 12, no. 2, p. 67, 2017. https://doi.org/10.15578/squalen.v12i2.287
- A. A. M. Ahmed and S. M. A. Shah, “Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River,” J. King Saud Univ. - Eng. Sci., vol. 29, no. 3, pp. 237–243, 2017. https://doi.org/10.1016/j.jksues.2015.02.001
- M. H. Gholizadeh, A. M. Melesse, and L. Reddi, “A comprehensive review on water quality parameters estimation using remote sensing techniques,” Sensors (Switzerland), vol. 16, no. 8, 2016. https://doi.org/10.3390/s16081298
- N. Ullah and P. Choudhury, “Flood Flow Modeling in a River System Using Adaptive Neuro-Fuzzy Inference System,” Environ. Manag. Sustain. Dev., vol. 2, no. 2, p. 54, 2013. https://doi.org/10.5296/emsd.v2i2.3738
- T. Kutser et al., “Remote sensing of black lakes and using 810 nm reflectance peak for retrieving water quality parameters of optically complex waters,” Remote Sens., vol. 8, no. 6, 2016. https://doi.org/10.3390/rs8060497
- Q. Kotimah, W. Firdaus Mahmudy, and V. Nur Wijayaningrum, “Optimization of fuzzy Tsukamoto membership function using genetic algorithm to determine the river water,” Int. J. Electr. Comput. Eng., vol. 7, no. 5, pp. 2838–2846, 2017. https://doi.org/10.11591/ijece.v7i5.pp2838-2846
- K. Toming, T. Kutser, R. Uiboupin, A. Arikas, K. Vahter, and B. Paavel, “Mapping water quality parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea,” Remote Sens., vol. 9, no. 10, 2017. https://doi.org/10.3390/rs9101070
- Keputusan Menteri Negara Lingkungan Hidup, “Keputusan Menteri Negara Lingkungan Hidup Nomor 115 Tentang Pedoman Penentuan Status Mutu Air,” Jakarta Menteri Negara Lingkung. Hidup, pp. 1–15, 2003.
References
T. Carlson and A. Cohen, “Linking community-based monitoring to water policy: Perceptions of citizen scientists,” J. Environ. Manage., vol. 219, pp. 168–177, 2018. https://doi.org/10.1016/j.jenvman.2018.04.077
C. Team et al., Fresh Water for the future, June. United Nations Environment Programme, 2012.
S. F. Elbeih, “An overview of integrated remote sensing and GIS for groundwater mapping in Egypt,” Ain Shams Eng. J., vol. 6, no. 1, pp. 1–15, 2015. https://doi.org/10.1016/j.asej.2014.08.008
S. Noorjannah Ibrahim, A. L. Asnawi, N. Abdul Malik, N. F. Mohd Azmin, A. Z. Jusoh, and F. N. Mohd Isa, “Web based water turbidity monitoring and automated filtration system: IoT application in water management,” Int. J. Electr. Comput. Eng., vol. 8, no. 4, pp. 2503–2511, 2018. https://doi.org/10.11591/ijece.v8i4.pp2503-2511
E. A. R. Hussein and M. O. Waheed, “Fuel station monitoring and automation based on WSN,” Int. J. Electr. Comput. Eng., vol. 8, no. 5, pp. 3647–3656, 2018. https://doi.org/10.11591/ijece.v8i5.pp3647-3656
A. D. Sutadian, N. Muttil, A. G. Yilmaz, and B. J. C. Perera, “Development of a water quality index for rivers in West Java Province, Indonesia,” Ecol. Indic., vol. 85, no. November 2017, pp. 966–982, 2018. https://doi.org/10.1016/j.ecolind.2017.11.049
D. Sutjiningsih, “Water Quality Index for Determining the Development Threshold of Urbanized Catchment Area in Indonesia,” Int. J. Technol., vol. 8, no. 1, p. 143, 2017. https://doi.org/10.14716/ijtech.v8i1.3971
Z. Wu, D. Zhang, Y. Cai, X. Wang, L. Zhang, and Y. Chen, “Water quality assessment based on the water quality index method in Lake Poyang: The largest freshwater lake in China,” Sci. Rep., vol. 7, no. 1, pp. 1–10, 2017. https://doi.org/10.1038/s41598-017-18285-y
N. V. Sidabutar, D. M. Hartono, T. Edhi, B. Soesilo, and R. C. Hutapea, “The quality of raw water for drinking water unit in Jakarta-Indonesia,” AIP Conf. Proc., vol. 10, no. 1, 2017. https://doi.org/10.1063/1.4978140
K. A. Shah and G. S. Joshi, “Evaluation of water quality index for River Sabarmati, Gujarat, India,” Appl. Water Sci., vol. 7, no. 3, pp. 1349–1358, 2017. https://doi.org/10.1007/s13201-015-0318-7
D. Jubaedah, S. Hariyadi, I. Muchsin, and M. M. Kamal, “Water Quality Index of Floodplain River Lubuk Lampam South Sumatera Indonesia,” Int. J. Environ. Sci. Dev., vol. 6, no. 4, pp. 252–258, 2015. https://doi.org/10.7763/IJESD.2015.V6.600
A. Rahim and T. R. Soeprobowati, “Water pollution index of Batujai reservoir, Central Lombok Regency-Indonesia,” J. Ecol. Eng., vol. 20, no. 3, pp. 219–225, 2019. https://doi.org/10.12911/22998993/99822
G. R. Barokah, F. Ariyani, and T. H. Siregar, “Comparison of Storet and Pollution Index Method to Assess the Environmental Pollution Status: A Case Study from Lampung Bay, Indonesia,” Squalen Bull. Mar. Fish. Postharvest Biotechnol., vol. 12, no. 2, p. 67, 2017. https://doi.org/10.15578/squalen.v12i2.287
A. A. M. Ahmed and S. M. A. Shah, “Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River,” J. King Saud Univ. - Eng. Sci., vol. 29, no. 3, pp. 237–243, 2017. https://doi.org/10.1016/j.jksues.2015.02.001
M. H. Gholizadeh, A. M. Melesse, and L. Reddi, “A comprehensive review on water quality parameters estimation using remote sensing techniques,” Sensors (Switzerland), vol. 16, no. 8, 2016. https://doi.org/10.3390/s16081298
N. Ullah and P. Choudhury, “Flood Flow Modeling in a River System Using Adaptive Neuro-Fuzzy Inference System,” Environ. Manag. Sustain. Dev., vol. 2, no. 2, p. 54, 2013. https://doi.org/10.5296/emsd.v2i2.3738
T. Kutser et al., “Remote sensing of black lakes and using 810 nm reflectance peak for retrieving water quality parameters of optically complex waters,” Remote Sens., vol. 8, no. 6, 2016. https://doi.org/10.3390/rs8060497
Q. Kotimah, W. Firdaus Mahmudy, and V. Nur Wijayaningrum, “Optimization of fuzzy Tsukamoto membership function using genetic algorithm to determine the river water,” Int. J. Electr. Comput. Eng., vol. 7, no. 5, pp. 2838–2846, 2017. https://doi.org/10.11591/ijece.v7i5.pp2838-2846
K. Toming, T. Kutser, R. Uiboupin, A. Arikas, K. Vahter, and B. Paavel, “Mapping water quality parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea,” Remote Sens., vol. 9, no. 10, 2017. https://doi.org/10.3390/rs9101070
Keputusan Menteri Negara Lingkungan Hidup, “Keputusan Menteri Negara Lingkungan Hidup Nomor 115 Tentang Pedoman Penentuan Status Mutu Air,” Jakarta Menteri Negara Lingkung. Hidup, pp. 1–15, 2003.