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WAQUAL: IoT-Based Integrated Water Turbidity Detection and Monitoring System to Improve Water Quality in Semarang
Corresponding Author(s) : Galih Ridho Utomo
Proceedings Universitas Muhammadiyah Yogyakarta Undergraduate Conference,
Vol. 3 No. 2 (2023): Crafting Innovation for Global Benefit
Abstract
Water pollution caused by agricultural waste is one of the most pressing environmental issues, particularly in developing countries where water sources are limited, water quality is often compromised. In Indonesia, water turbidity poses a threat to as many as 78% of 100.000 the population with liver cirrhosis. This study aims to develop an AI-based system for detecting and monitoring water turbidity to address the limitations of current systems, including imprecise detection and accuracy. The research employs the concept of drift in data representation and implementation by classifying data based on type. The research includes two stages: data analysis and AI methods. The results of this study demonstrate that the AI-based system has achieved an accuracy rate of 99.43%, detecting a turbidity level of 693502.5. The development of this AI-based system contributes to enhancing the reliability and effectiveness of water quality and resource management in agriculture. Further research is needed to optimize and validate the effectiveness of this AI-based system in other regions with similar problems. The implementation of this system could contribute to sustainable agriculture practices and better water resource management. By providing a more precise and accurate detection and monitoring system, this research can help to minimize the negative impact of water pollution caused by agricultural waste, which could improve human health and promote sustainable agriculture practices.
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- Adityas, Yazi, et al. (2021). Water Quality Monitoring System with Parameter of PH, Temperature, Turbidity, and Salinity Based on Internet of Things. Jurnal Informatika dan Sains, 4(2), 138-143.
- Bren, L. (2023). Salinity and Forests. Forest Hydrology and Catchment Management, 307–328. This article discusses the impacts of salinity on forests and how to manage it.
- Dian Febrida Sari, 2Nila Eza Fitria, 3Nurleny, 4Masni Hayati, 5Eka Putri Primasari, 6Putri Nelly Syofiah, 7Masri Rahayu Putri, 8 Gyta Maida Vilosta, 9Mayyang Santola Rifa, 10Diana Fitri dan 11Maita Alifa. (2023). 694-1-3822-1-10-20230131. Jurnal Aplikasi Teknik Dan Pengabdian Masyarakat, 17, 1–6.
- Efendy, I., & Syamsul, D. (2019). Faktor Yang Berhubungan Tingkat Konsumsi Air Bersih Pada Rumah Tangga Di Kecamatan Peudada Kabupaten Bireun. Jurnal Biology Education, 7(2).
- Fahril, M. A., Rangkuti, N. A., & Nila, I. R. (2022). PENGUJIAN ALAT PENDETEKSI TINGKAT KEKERUHAN AIR BERBASIS MIKROKONTROLLER ATMEGA 8535 MENGGUNAKAN SENSOR TURBIDITY. JURNAL HADRON, 4(1), 13-19.
- Hoque, M. A., Gathala, M. K., Timsina, J., Ziauddin, M. A. T. M., Hossain, M., & Krupnik, T. J. (2023). Reduced tillage and crop diversification can improve productivity and profitability of rice-based rotations of the Eastern Gangetic Plains. Field Crops Research, 291, 108791. This article presents a study that shows how reduced tillage and crop diversification can improve productivity and profitability in rice-based farming in the Eastern Gangetic Plains.
- Huang, Y., Wang, X., Xiang, W., Wang, T., Otis, C., Sarge, L., Lei, Y., & Li, B. (2022). Forward-Looking Roadmaps for Long-Term Continuous Water Quality Monitoring: Bottlenecks, Innovations, and Prospects in a Critical Review. Environmental Science and Technology, 56(9), 5334–5354. This article presents a critical review of the challenges, innovations, and prospects of long-term continuous water quality monitoring, providing a forwardlooking roadmap.
- Iskandar, H. R., Hermadani, H., Saputra, D. I., & Yuliana, H. (2019). Eksperimental Uji Kekeruhan air berbasis internet of things menggunakan sensor DFRobot SEN0189 dan MQTT cloud server. Prosiding Semnastek.
- Kautsar, M., Isnanto, R. R., & Iskandar, E. D. (2015). Sistem Monitoring Kualitas Air Berbasis Mikrokontroler dan Sensor Kekeruhan. Jurnal Teknologi dan Sistem Komputer, 3(1), 79-86.
- Kusumawardani, L. H., & Saputri, A. A. (2020). Gambaran Pengetahuan, Sikap dan Keterampilan Perilaku Hidup Bersih Sehat (PHBS) Pada Anak Usia Sekolah. Jurnal Ilmiah Ilmu Keperawatan 9 Indonesia, 10(02), 31–38.
- Menteri Kesehatan. (2018). Laporan Riskesdas 2018 Nasional. Laporan Nasional Riskesdas.
- Ngadi, N., Zaelany, A. A., Latifa, A., Harfina, D., Asiati, D., Setiawan, B., Ibnu, F., Triyono, T., & Rajagukguk, Z. (2023). Challenge of Agriculture Development in Indonesia: Rural Youth Mobility and Aging Workers in Agriculture Sector. Sustainability 2023, Vol. 15, Page 922, 15(2), 922. This article discusses the challenges of agriculture development in Indonesia, particularly the issues of rural youth mobility and aging workers in the agriculture sector.
- Rikanto, T., & Witanti, A. (2021). Sistem Monitoring Kualitas Kekeruhan Air Berbasis Internet of Thing. Jurnal Fasilkom, 11(2), 87-90.
- Shentu, N., Yang, J., Li, Q., Qiu, G., & Wang, F. (2022). Research on the Landslide Prediction Based on the Dual Mutual-Inductance Deep Displacement 3D Measuring Sensor. Applied Sciences 2023, Vol. 13, Page 213, 13(1), 213. This article presents a study on landslide prediction using a dual mutual-inductance deep displacement 3D measuring sensor.
- Sunardi, Yudhana, A., & Furizal. (2023). Tsukamoto Fuzzy Inference System on Internet of Things-Based for Room Temperature and Humidity Control. IEEE Access, 11, 6209–6227. This article presents a study on using a Tsukamoto fuzzy inference system on an IoT-based platform for room temperature and humidity control.
- Will, N. C. (2022). A Privacy-Preserving Data Aggregation Scheme for Fog/Cloud-Enhanced IoT Applications Using a Trusted Execution Environment. In 2022 IEEE International Systems Conference (SysCon) (pp. 1-5). Montreal, QC, Canada.
References
Adityas, Yazi, et al. (2021). Water Quality Monitoring System with Parameter of PH, Temperature, Turbidity, and Salinity Based on Internet of Things. Jurnal Informatika dan Sains, 4(2), 138-143.
Bren, L. (2023). Salinity and Forests. Forest Hydrology and Catchment Management, 307–328. This article discusses the impacts of salinity on forests and how to manage it.
Dian Febrida Sari, 2Nila Eza Fitria, 3Nurleny, 4Masni Hayati, 5Eka Putri Primasari, 6Putri Nelly Syofiah, 7Masri Rahayu Putri, 8 Gyta Maida Vilosta, 9Mayyang Santola Rifa, 10Diana Fitri dan 11Maita Alifa. (2023). 694-1-3822-1-10-20230131. Jurnal Aplikasi Teknik Dan Pengabdian Masyarakat, 17, 1–6.
Efendy, I., & Syamsul, D. (2019). Faktor Yang Berhubungan Tingkat Konsumsi Air Bersih Pada Rumah Tangga Di Kecamatan Peudada Kabupaten Bireun. Jurnal Biology Education, 7(2).
Fahril, M. A., Rangkuti, N. A., & Nila, I. R. (2022). PENGUJIAN ALAT PENDETEKSI TINGKAT KEKERUHAN AIR BERBASIS MIKROKONTROLLER ATMEGA 8535 MENGGUNAKAN SENSOR TURBIDITY. JURNAL HADRON, 4(1), 13-19.
Hoque, M. A., Gathala, M. K., Timsina, J., Ziauddin, M. A. T. M., Hossain, M., & Krupnik, T. J. (2023). Reduced tillage and crop diversification can improve productivity and profitability of rice-based rotations of the Eastern Gangetic Plains. Field Crops Research, 291, 108791. This article presents a study that shows how reduced tillage and crop diversification can improve productivity and profitability in rice-based farming in the Eastern Gangetic Plains.
Huang, Y., Wang, X., Xiang, W., Wang, T., Otis, C., Sarge, L., Lei, Y., & Li, B. (2022). Forward-Looking Roadmaps for Long-Term Continuous Water Quality Monitoring: Bottlenecks, Innovations, and Prospects in a Critical Review. Environmental Science and Technology, 56(9), 5334–5354. This article presents a critical review of the challenges, innovations, and prospects of long-term continuous water quality monitoring, providing a forwardlooking roadmap.
Iskandar, H. R., Hermadani, H., Saputra, D. I., & Yuliana, H. (2019). Eksperimental Uji Kekeruhan air berbasis internet of things menggunakan sensor DFRobot SEN0189 dan MQTT cloud server. Prosiding Semnastek.
Kautsar, M., Isnanto, R. R., & Iskandar, E. D. (2015). Sistem Monitoring Kualitas Air Berbasis Mikrokontroler dan Sensor Kekeruhan. Jurnal Teknologi dan Sistem Komputer, 3(1), 79-86.
Kusumawardani, L. H., & Saputri, A. A. (2020). Gambaran Pengetahuan, Sikap dan Keterampilan Perilaku Hidup Bersih Sehat (PHBS) Pada Anak Usia Sekolah. Jurnal Ilmiah Ilmu Keperawatan 9 Indonesia, 10(02), 31–38.
Menteri Kesehatan. (2018). Laporan Riskesdas 2018 Nasional. Laporan Nasional Riskesdas.
Ngadi, N., Zaelany, A. A., Latifa, A., Harfina, D., Asiati, D., Setiawan, B., Ibnu, F., Triyono, T., & Rajagukguk, Z. (2023). Challenge of Agriculture Development in Indonesia: Rural Youth Mobility and Aging Workers in Agriculture Sector. Sustainability 2023, Vol. 15, Page 922, 15(2), 922. This article discusses the challenges of agriculture development in Indonesia, particularly the issues of rural youth mobility and aging workers in the agriculture sector.
Rikanto, T., & Witanti, A. (2021). Sistem Monitoring Kualitas Kekeruhan Air Berbasis Internet of Thing. Jurnal Fasilkom, 11(2), 87-90.
Shentu, N., Yang, J., Li, Q., Qiu, G., & Wang, F. (2022). Research on the Landslide Prediction Based on the Dual Mutual-Inductance Deep Displacement 3D Measuring Sensor. Applied Sciences 2023, Vol. 13, Page 213, 13(1), 213. This article presents a study on landslide prediction using a dual mutual-inductance deep displacement 3D measuring sensor.
Sunardi, Yudhana, A., & Furizal. (2023). Tsukamoto Fuzzy Inference System on Internet of Things-Based for Room Temperature and Humidity Control. IEEE Access, 11, 6209–6227. This article presents a study on using a Tsukamoto fuzzy inference system on an IoT-based platform for room temperature and humidity control.
Will, N. C. (2022). A Privacy-Preserving Data Aggregation Scheme for Fog/Cloud-Enhanced IoT Applications Using a Trusted Execution Environment. In 2022 IEEE International Systems Conference (SysCon) (pp. 1-5). Montreal, QC, Canada.