IDENTIFIKASI FAKTOR PENYEBAB PENURUNAN KUALITAS AIR MENGGUNAKAN TOTAL DISSOLVED SOLIDS (TDS) SENSOR BERBASIS INTERNET OF THING (IoT)

Rizki Sidik; Ari Bangkit Sanjaya Umbu; Hanna Azmi  Fathin

doi:10.37478/optika.v9i2.7073

Authors

Rizki Sidik Universitas Nusa Cendana
Ari Bangkit Sanjaya Umbu Universitas Nusa Cendana
Hanna Azmi Fathin Universitas Nusa Cendana

DOI:

https://doi.org/10.37478/optika.v9i2.7073

Abstract

Penurunan kualitas air secara signifikan telah terjadi di berbagai wilayah. Salah satu upaya untuk menanggulangi permasalahan tersebut adalah melalui deteksi dini terhadap faktor-faktor penyebabnya. Salah satu faktor utama yang berkontribusi terhadap penurunan kualitas air adalah peningkatan nilai Total Dissolved Solids (TDS). Namun, peningkatan TDS dipengaruhi oleh berbagai faktor, sementara pemanfaatan data sensor TDS yang ada umumnya masih terbatas pada pemantauan nilai TDS tanpa mampu mengidentifikasi faktor penyebab kenaikannya. Penelitian ini bertujuan untuk menganalisis apakah pola grafik kenaikan Total Dissolved Solids (TDS) dapat digunakan untuk mengidentifikasi penyebab peningkatan TDS, sehingga keunikan pola grafik pada setiap sampel dapat menjadi karakteristik sampel dalam meningkatkan nilai TDS. Metode penelitian yang digunakan adalah metode eksperimental dengan memanfaatkan sistem Internet of Things (IoT) yang terdiri atas perangkat keras ESP32 dan sensor TDS, serta perangkat lunak MQTT dan Node-RED yang terintegrasi dalam satu jaringan komunikasi. Sampel uji yang digunakan berupa larutan cuka, garam, dan sabun pada kondisi suhu ruang dan suhu tinggi. Hasil penelitian menunjukkan bahwa analisis grafik perubahan TDS mampu mengidentifikasi faktor kenaikan suhu sebagai penyebab peningkatan TDS, yang ditandai dengan pola grafik berbentuk parabola terbuka ke bawah saat mendekati titik kesetimbangan. Namun, dengan metode analisis yang sama, perbedaan jenis sampel, seperti asam, garam, dan sabun, belum dapat diidentifikasi secara jelas.

Downloads

Download data is not yet available.

Keywords:

Total Dissolved Solids (TDS) sensor, MQTT, Node-red, IOT

References

Abazi, A. S., Gashi, B., Spahiu, M. H., Bytyçi, P., & Dreshaj, A. (2022). Analysis of the Impact of Ferronicel Industrial Activity on Drenica River Quality. Journal of Ecological Engineering, 23(7), 312–322. https://doi.org/10.12911/22998993/150184

Arbiansyah, L., Bianto, M. A., & Ardiansyah, H. (2024). lean water recommendation system based on water quality with turbidity and tds (total dissolve solid) sensors based on internet of things (iot). Indonesian Journal of Engineering Science and Technology, 1(2), 59–67. https://doi.org/https://doi.org/10.38040/ijenset.v1i2.1014

Begovi?, T., ?abarkapa, V., Ivkovi?, M., & Popovi?, B. V. (2024). MQTT Protocol in Smart Home Environments: Principles of Operation and Application. International Journal of Electrical Engineering and Computing, 8(2). https://doi.org/https://doi.org/10.7251/ijeec2402053b

Desnanjaya, I. G. M. N., Nugraha, I. M. A., & Ekayana, A. A. G. (2025). (2025). Improved design and accuracy of real-time water quality and filtering systems for application in iot-based aquaculture. Jurnal Riset Akuakultur, 27–47. https://doi.org/https://doi.org/10.15578/jra.20.1.2025.27-47

Fikri Ika Purnianto, Ulinnuha Latifa, D. B. S. (2020). Perancangan Sistem Instrumentasi Pada Sistem Monitoring Kualitas Air Berbasis Hybrid Control Dengan Panel Surya. Jurnal Ilmiah Setrum, 8(2), 260–273.

Hegazy, D., El-bastaweesy, M., Garamoon, H., Melegy, A., & Ali, M. (2018). The Impacts Of Human And Agricultural Activities On The Groundwater Quality In Mostorod Abu Zabal Area , East Nile Delta , Egypt. 29(2).

Hou, A., Han, J., Du, H., Li, Y., & Hu, Y. (2023). Production Enterprise Operation Information Decision Analysis Based on Data Feature Analysis. ICBBEM. https://doi.org/10.4108/eai.19-5-2023.2334220

Ica, A., Banescu, I. E., & Puchianu, D. C. (2022). Improving Water Quality Using an Intelligent Electrical Device. Nternational Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2022(14), 1–6. https://doi.org/https://doi.org/10.1109/ecai54874.2022.9847440

Irwan, F. (2016). Analisis Hubungan Konduktivitas Listrik dengan Total Dissolved Solid (TDS) dan Temperatur pada Beberapa Jenis Air. Jurnal Fisika Unand, 5(1), 85–93.

Khadim, H. J., Obaed, F. K., & Rashid, H. M. (2022). Water Quality Detection using cost-effective sensors based on IoT. SVU-International Journal of Engineering Sciences and Applications (Online), 3(1), 98–103. https://doi.org/https://doi.org/10.21608/svusrc.2022.135289.1047

Lin, L., Yang, H., & Xu, X. (2022). Effects of Water Pollution on Human Health and Disease Heterogeneity: A Review. Frontiers in Environmental Science, 10(June). https://doi.org/10.3389/fenvs.2022.880246

Liu, S., Qiu, Y., Fu, R., Liu, Y., & Suo, C. (2023). Identifying the water quality variation characteristics and their main driving factors from 2008 to 2020 in the Yellow River Basin, China. Environmental Science and Pollution Research, 30(25), 66753–66766. https://doi.org/10.1007/s11356-023-27142-7

Manjakkal, L., Mitra, S., Petillot, Y. R., Shutler, J., Scott, E. M., Willander, M., & Dahiya, R. (2021). Connected Sensors, Innovative Sensor Deployment, and Intelligent Data Analysis for Online Water Quality Monitoring. IEEE Internet of Things Journal, 8(18), 13805–13824. https://doi.org/10.1109/JIOT.2021.3081772

Nwanak, S. (2024). Impact of Temperature on the Solubility of Ionic Compounds in Water in Cameroon. Journal of Chemistry, 3(2), 42–51. https://doi.org/10.47672/jchem.2403

Putri, G. C., & Yushananta, P. (2022). Rancang Bangun Sistem Monitoring Kekeruhan Dan Tds Berbasis Internet of Things. Ikesma, 18(4), 210. https://doi.org/10.19184/ikesma.v18i4.30510

Roy, R. (2015). Degradation in Water Quality Due To Natural and Anthropogenic Contaminant. Chemical and Process Engineering Research, 35, 112–118.

Sikder, A. K. et al. (2018). A Survey on Sensor-Based Threats to Internet-of-Things (IoT). Devices and Applications.

Utomo, E. B., & Izzaturrahmani, N. (2025). Temperature and Humidity Monitoring System Using Node-Red Based on MQTT Protocol. Journal of Electrical Engineering and Computer, 7(1), 40–28. https://doi.org/https://doi.org/10.33650/jeecom.v7i1.10658

Verma, S. . (2025). Seasonal and Spatial Dynamics of Total Dissolved Solids and Total Suspended Solids in Sewage from Sironj, Vidisha, India (2024). (06), 1–9. Indian Scientific Journal Of Research In Engineering And Management, 09(06), 1–9. https://doi.org/https://doi.org/10.55041/ijsrem51067

Zöller, L., Avdeef, A., Karlsson, E., Borde, A., Carlert, S., Saal, C., & Dressman, J. (2023). A comparison of USP 2 and µDISS ProfilerTM apparatus for studying dissolution phenomena of ibuprofen and its salts. European Journal of Pharmaceutical Sciences, 106684. https://doi.org/https://doi.org/10.1016/j.ejps.2023.106684