Assessment of the Quality of the Saddang River as A Water Resource in North Toraja Regency Using Storet and Pollution Index

Authors

  • Reni Oktaviani Tarru Universitas Kristen Indonesia Toraja
  • Juliah Sarira Universitas Kristen Indonesia Toraja
  • Marianne Y Marrung Universitas Kristen Indonesia Toraja
  • Harni Eirene Tarru Universitas Kristen Indonesia Toraja
  • Yulius Pakiding Universitas Kristen Indonesia Toraja

DOI:

https://doi.org/10.59261/jequi.v8i1.270

Keywords:

pollution index, river pollution, saddang river, storet method, water quality

Abstract

Background: The Saddang River in North Toraja Regency serves as a key water resource for domestic, agricultural, and fishery needs. Increased activity along the watershed may degrade water quality and threaten the sustainability of the river's functions.

Objective: This study aims to evaluate the water quality of the Saddang River as a water resource in North Toraja Regency using the STORET and Pollution Index methods.

Methods: Sampling was conducted at four observation points (upstream, two middle stations, and downstream) over two weeks, measuring temperature, pH, DO, BOD, COD, TDS, and Total Coliform, with reference to class II water quality standards in Government Regulation Number 22 of 2021.

Results: STORET classified the Saddang River as moderately polluted at all stations (scores: −11 to −15). The Pollution Index indicated more severe conditions: in Week 1, ST1 and ST4 were moderately polluted (IP 7.30–8.71) and ST2–ST3 were heavily polluted (IP 10.79–13.18); in Week 2, all stations were heavily polluted (IP 10.21–18.94). Dominant pollutants were Total Coliform, BOD, COD, and low DO (<4 mg/L), indicating organic and microbiological contamination from domestic sources. Water quality declined progressively from upstream to downstream.

Conclusion: Both STORET and Pollution Index methods confirmed water quality degradation in the Saddang River, with Total Coliform, BOD, COD, and low DO as dominant pollutants. ST2 and ST3 were identified as critical pollution hotspots requiring priority intervention. The combined application of both methods provides a robust framework for evidence-based water resource management in North Toraja Regency.

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References

Akhtar, N., Ishak, M. I. S., Ahmad, M. I., Umar, K., Md Yusuff, M. S., Anees, M. T., Qadir, A., & Ali Almanasir, Y. K. (2021). Modification of the water quality index (WQI) process for simple calculation using the multi-criteria decision-making (MCDM) method: a review. Water, 13(7), 905. https://doi.org/10.3390/w13070905

Bănăduc, D., Simić, V., Cianfaglione, K., Barinova, S., Afanasyev, S., Öktener, A., McCall, G., Simić, S., & Curtean-Bănăduc, A. (2022). Freshwater as a sustainable resource and generator of secondary resources in the 21st century: Stressors, threats, risks, management and protection strategies, and conservation approaches. International Journal of Environmental Research and Public Health, 19(24), 16570.

Effendi, H. (2003). Study of Water Quality for Resource Management and Water Environment. Yogyakarta: Kanisius.

Fauzi, G., Yuliani, E., & Fidari, J. S. (2025). A Penentuan Status Mutu Air Sungai Panyiburan dengan Metode STORET, Indeks Pencemaran, dan Metode CCME WQI. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 5(2), 913–923.

Fermana, R. (2025). Sensitivity Analysis of Water Quality Indices to Seasonal Variations in Indonesian Rivers: A Systematic Literature Review. Rimba Torean Journal, 1(1), 1–11.

Fitriana, F., Yudianto, D., & Seo, Y. C. (2025). Analysis of Cikakembang River water quality using the pollution index, STORET, and CCME-WQI methods. Jurnal Presipitasi: Media Komunikasi Dan Pengembangan Teknik Lingkungan, 22(2), 485–496.

Hamuna, B., Tanjung, R. H., & MAury, H. (2018). Kajian kualitas air laut dan indeks pencemaran berdasarkan parameter fisika-kimia di perairan Distrik Depapre, Jayapura. https://doi.org/10.14710/jil.16.1.35-43

Hossain, M., & Patra, P. K. (2020). Water pollution index–A new integrated approach to rank water quality. Ecological Indicators, 117, 106668.

Khan, M. H. R. B., Ahsan, A., Imteaz, M., Shafiquzzaman, M., & Al-Ansari, N. (2023). Evaluation of the surface water quality using global water quality index (WQI) models: perspective of river water pollution. Scientific Reports, 13(1), 20454.

Li, P., Wang, D., Li, W., & Liu, L. (2022). Water pollution: Primary sources and associated human health hazards with special emphasis on rural areas. Environmental Earth Sciences, 81(6), 179.

Meride, Y., & Ayenew, B. (2016). Drinking water quality assessment and its effects on residents health in Wondo genet campus, Ethiopia. Environmental Systems Research, 5(1), 1–7.

Mufida, Y. I., & Rachmanto, T. A. (2023). Komparasi Status Mutu Fisik Sungai Jagir menggunakan Metode Indeks Pencemaran, STORET, dan BCWQI. Envirous, 4(1).

Muthaiyah, N. P. (2020). Rejuvenating Yamuna River by wastewater treatment and management. International Journal of Energy and Environmental Science, 5(1), 14–29.

Oyeboade, J., & Olagoke-Komolafe, O. (2023). Spatial and seasonal variations in water quality parameters in anthropogenically impacted river systems. International Journal of Multidisciplinary Evolutionary Research, 4(1), 72–83. https://doi.org/10.54660/IJMER.2023.4.1.72-83

Romdania, Y., Herison, A., Susilo, G. E., & Novilyansa, E. (2018). Kajian penggunaan metode IP, STORET, dan CCME WQI dalam menentukan status kualitas air. Jurnal Spatial Wahana Komunikasi Dan Informasi Geografi, 18(1), 1–14.

Sharma, K., Rajan, S., & Nayak, S. K. (2024). Water pollution: Primary sources and associated human health hazards with special emphasis on rural areas. In Water resources management for rural development (pp. 3–14). Elsevier.

Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., Sofoniou, M., & Kouimtzis, T. (2003). Assessment of the surface water quality in Northern Greece. Water Research, 37(17), 4119–4124.

Sutadian, A. D., Muttil, N., Yilmaz, A. G., & Perera, B. J. C. (2016). Development of river water quality indices—a review. Environmental Monitoring and Assessment, 188(1), 58.

Tarru, R. O., Baja, S., Maricar, F., & Lopa, R. T. (2022). Spatial Distribution of Livestock Waste Water Polluition and Its Treatment in Saddang Watershed. Spatial Distribution of Livestock Waste Water Polluition and Its Treatment in Saddang Watershed, 70(11), 106–116. https://doi.org/

Reni Oktaviani Tarru, S., Baja, S., Maricar, F., & Lopa, R. T. (2022). Spatial distribution of livestock waste water pollution and its treatment in Saddang Watershed. International Journal of Engineering Trends and Technology, 70(11), 106–116. https://doi.org/10.14445/22315381/IJETT-V70I11P211

Wang, G., Tang, P., Xu, B., Zhang, C., Tian, D., Ren, J., & Li, Z. (2023). Study on water and heat transport of different types of vegetations and fields in Pengbo alpine irrigation district of Qinghai Tibet Plateau. Journal of Hydrology, 618, 129201. https://doi.org/10.1016/j.jhydrol.2023.129201

Wu, Z., Wang, X., Chen, Y., Cai, Y., & Deng, J. (2018). Assessing river water quality using water quality index in Lake Taihu Basin, China. Science of the Total Environment, 612, 914–922.

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Published

2026-03-04