Developing an Arduino Uno-Based Water Clarity Assessment Instrument at LIPI-Biotechnology
DOI:
https://doi.org/10.62535/sw45r435Keywords:
Water Clarity, Arduino Uno, BH1750 Sensor, Web Monitoring, Internet of Things (IoT)Abstract
Visual monitoring of water clarity in closed laboratory reservoirs poses significant challenges and inefficiencies that may compromise equipment sterilization standards. This study aims to develop an automated water clarity monitoring system at the Research Center for Biotechnology-LIPI utilizing an Arduino Uno microcontroller paired with a BH1750 digital light sensor. The device operates on the principle of light transmission, where suspended particles in turbid water obstruct the light intensity detected by the sensor. Data is processed and transmitted via an Ethernet Shield to a web-based interface for both real-time monitoring and database logging. The research results demonstrate that the device successfully classifies water clarity levels based on light intensity readings, defining clear water as >200 Lux, moderate water as 150-200 Lux, and turbid water as <150 Lux. By providing real-time status updates and automated historical data logs, the system eliminates the need for manual physical inspection. This instrument presents a functional and cost-effective solution to ensure adherence to laboratory water quality standards.
References
Abiyaksa, D., Adi, S. H., & Siskandar, R. (2020). Pembuatan Prototype Smart Budidaya Ikan Mas Koki Berbasis Arduino. Indonesian Journal of Science, 1(1), 45–50.
Andre, D. J., Triwisesa, E., & Siskandar, R. (2020). Rancang Bangun Alat Monitoring Keadaan Air Danau Berbasis Arduino Terintegrasi Web di Limnologi LIPI. Indonesian Journal of Science, 106–112.
Araneta, A. A. S. (2022). Design of an Arduino-Based Water Quality Monitoring System. International Journal of Computer Science and Mobile Computing, 11(3), 152–165. https://doi.org/10.47760/ijcsmc.2022.v11i03.017
Cahyono, B. E., Utami, I. D., Lestari, N. P., & Oktaviany, N. S. (2019). Karakterisasi Sensor LDR dan Aplikasinya pada Alat Ukur Tingkat Kekeruhan Air Berbasis Arduino UNO. Jurnal Teori dan Aplikasi Fisika, 7(2), 179–186. https://doi.org/10.23960/jtaf.v7i2.2247
Fadhillah, M. R. N., & Jenih. (2024). Rancang Bangun Sistem Pemantau Kualitas Air Pada PT Abacus Dana Pensiuntama Berbasis Arduino Uno. Jurnal Teknologi Informasi, 10(1).
Forhad, H. M., Uddin, Md. R., Chakrovorty, R. S., Ruhul, A. M., Faruk, H. M., Kamruzzaman, S., Sharmin, N., Jamal, A. S. I. M., Haque, Md. M.-U., & Morshed, A. M. (2024). IoT based real-time water quality monitoring system in water treatment plants (WTPs). Heliyon, 10(23), e40746. https://doi.org/10.1016/j.heliyon.2024.e40746
Gusri, A. J., & Harmadi, H. (2021). Rancang Bangun Alat Penguras Air Pada Wadah Penampungan Berbasis Turbidity Sensor SEN0189. Jurnal Fisika Unand, 10(3), 330–336. https://doi.org/10.25077/jfu.10.3.330-336.2021
Hakimi, I. M., & Jamil, Z. (2021). Development of Water Quality Monitoring Device Using Arduino UNO. IOP Conference Series: Materials Science and Engineering, 1144(1), 012064. https://doi.org/10.1088/1757-899X/1144/1/012064
Haslindah, A., Musrawati, M., Rosida, U., & Sasly Taslim, M. N. (2022). Sistem Kontrol Pendeteksi Kadar Kekeruhan Air Berbasis Arduino Uno. ILTEK : Jurnal Teknologi, 17(1), 47–51. https://doi.org/10.47398/iltek.v17i1.679
Hong, W., Shamsuddin, N., Abas, E., Apong, R., Masri, Z., Suhaimi, H., Gödeke, S., & Noh, M. (2021). Water Quality Monitoring with Arduino Based Sensors. Environments, 8(1), 6. https://doi.org/10.3390/environments8010006
Irawan, Y., Febriani, A., Wahyuni, R., & Devis, Y. (2021). Water Quality Measurement and Filtering Tools Using Arduino Uno, PH Sensor and TDS Meter Sensor. Journal of Robotics and Control (JRC), 2(5). https://doi.org/10.18196/jrc.25107
Irzaman, Siskandar, R., Yuliarto, B., Zakki Fahmi, M., & Ferdiansjah. (2019). Application of Ba0.5Sr0.5TiO3 (Bst) Film Doped with 0%, 2%, 4% and 6% Concentrations of RuO2 as an Arduino Nano-Based Bad Breath Sensor. Chemosensors, 8(1), 3. https://doi.org/10.3390/chemosensors8010003
Jais, N. A. M., Abdullah, A. F., Kassim, M. S. M., Karim, M. M. A., M, A., & Muhadi, N. ‘Atirah. (2024). Improved accuracy in IoT-Based water quality monitoring for aquaculture tanks using low-cost sensors: Asian seabass fish farming. Heliyon, 10(8), e29022. https://doi.org/10.1016/j.heliyon.2024.e29022
Jamroen, C., Yonsiri, N., Odthon, T., Wisitthiwong, N., & Janreung, S. (2023). A standalone photovoltaic/battery energy-powered water quality monitoring system based on narrowband internet of things for aquaculture: Design and implementation. Smart Agricultural Technology, 3, 100072. https://doi.org/10.1016/j.atech.2022.100072
Kelechi, A. H., Alsharif, M. H., Anya, A. C., Bonet, M. U., Uyi, S. A., Uthansakul, P., Nebhen, J., & Aly, A. A. (2021). Design and Implementation of a Low-Cost Portable Water Quality Monitoring System. Computers, Materials & Continua, 69(2), 2405–2424. https://doi.org/10.32604/cmc.2021.018686
Kumar, J., Gupta, R., Sharma, S., Chakrabarti, T., Chakrabarti, P., & Margala, M. (2024). IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation. IEEE Access, 12, 58156–58167. https://doi.org/10.1109/ACCESS.2024.3391807
Kusumah, B. R., Jaya, A. K., Siskandar, R., & Rahim, F. F. (2021). E-Ox Level: Sustainability Test of Data Storage System and Performance Test on Closed System Fish Pond. Aquacultura Indonesiana, 23(1), 1. https://doi.org/10.21534/ai.v23i1.267
Lakshmikantha, V., Hiriyannagowda, A., Manjunath, A., Patted, A., Basavaiah, J., & Anthony, A. A. (2021). IoT based smart water quality monitoring system. Global Transitions Proceedings, 2(2), 181–186. https://doi.org/10.1016/j.gltp.2021.08.062
Lestari, H., Banila, L., & Siskandar, R. (2019). IMPROVING STUDENT’S SCIENCE LITERACY COMPETENCIES BASED ON. 14(2).
Muhsin, Z. S., Al-zubaidi, L., & Rasheed, M. A. (2025). A Review of Portable Water Quality Measurement System Using Arduino Sensor. 29(06).
Orlando, M., & Kasoep, W. (2020). Sistem Monitoring dan Penjernihan Air Berdasarkan Derajat Keasaman (PH) dan Kekeruhan Pada Bak Penampungan Air Berbasis Internet of Things. CHIPSET, 1(01), 17–22. https://doi.org/10.25077/chipset.1.01.17-22.2020
Petrescu-Mag, R. M., Ivan, A., Pantelimon, C., & Petrescu, D. C. (2024). Mapping environmental perceptions in Romania: A mixed-methods research. Heliyon, 10(23), e40845. https://doi.org/10.1016/j.heliyon.2024.e40845
Prabowo, H., Gaol, F. L., & Hidayanto, A. N. (2022). Comparison of the System Development Life Cycle and Prototype Model for Software Engineering. International Journal of Emerging Technology and Advanced Engineering, 12(4), 155–162. https://doi.org/10.46338/ijetae0422_19
Saraswati, I., Himawan, G., Wiryadinata, R., Ramadhani, A., Haryanto, H., Franata, N., Yudono, M. A. S., & Erlindriyani, R. V. (2025). Prototype system for turbidity and TDS measurement of refill drinking water using Arduino microcontroller. Teknika: Jurnal Sains Dan Teknologi, 21(1), 41. https://doi.org/10.62870/tjst.v21i1.30486
Siskandar, R., Fadhil, M. A., Kusumah, B. R., Irmansyah, I., & Irzaman, I. (2020). INTERNET OF THINGS: AUTOMATIC PLANT WATERING SYSTEM USING ANDROID. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 9(4), 297. https://doi.org/10.23960/jtep-l.v9i4.297-310
Siskandar, R., Wiyoto, W., Hendriana, A., Ekasari, J., Kusumah, B. R., Halim, G., & Nugraha, I. J. (2022). Automated Redox Monitoring System (ARMS): An Instrument for Measuring Dissolved Oxygen Levels Using a Potential Redox Sensor (ORP) in a Prototype of Shrimp Farming Pond with an Internet-Based Monitoring System. Journal of Aquaculture and Fish Health, 11(2), 238–246. https://doi.org/10.20473/jafh.v11i2.31487
Siskandar, R., Wiyoto, W., Santosa, S. H., Sari, J. E., Darmawangsa, G. M., Hidayat, A. P., Dardanella, D., & Kusumah, B. R. (2023). Potential Readings of Water Turbidity Values Based on Optical Sensors on Fish-Rearing Biofloc Media. Photonics Letters of Poland, 15(1), 1–3. https://doi.org/10.4302/plp.v15i1.1176
Susanto, A., Alimuddin, A., Herjayanto, Muh., Budiaji, W., & Fitria, N. (2020). Rancang Bangun Sistem Monitoring Kualitas Air untuk Pemeliharaan Organisme Laut. Jurnal Edukasi dan Penelitian Informatika (JEPIN), 6(3), 386. https://doi.org/10.26418/jp.v6i3.42899
Widiasari, C., & Zulkarnain, L. A. (2021). Rancang Bangun Sistem Monitoring Penggunaan Air PDAM Berbasis IoT. Jurnal Komputer Terapan, 7(2), 153–162. https://doi.org/10.35143/jkt.v7i2.5152
Wysowska, E., Wiewiórska, I., & Kicińska, A. (2021). The impact of different stages of water treatment process on the number of selected bacteria. Water Resources and Industry, 26, 100167. https://doi.org/10.1016/j.wri.2021.100167
Zuhaida, A., Widodo, A., Prima, E. C., & Solihat, R. (2024). River Water Quality Analysis Using Arduino-Based Sensor of the Cikapundung River, Indonesia. International Journal of Online and Biomedical Engineering (iJOE), 20(07), 30–47. https://doi.org/10.3991/ijoe.v20i07.48179
