IMPLEMENTASI FILTER CERDAS BERBASIS IoT DENGAN MEDIA CERAMSITE UNTUK PENGOLAHAN AIR SUMUR WISATA EDUKASI KM12
Abstract
Abstrak: Air sumur bor di Kebun Wisata Edukasi KM 12 selama ini digunakan tanpa pengolahan memadai, sehingga kualitasnya sangat bergantung pada kondisi alami yang sering berubah, ditandai dengan kekeruhan tinggi, kandungan padatan terlarut (TDS) tinggi, serta belum adanya sistem pemantauan real-time. Kegiatan pengabdian ini menerapkan filter cerdas berbasis IoT dengan media ceramsite, melalui perancangan dan pemasangan unit filtrasi, integrasi sensor pH dan TDS, pengujian kinerja, serta sosialisasi dan pelatihan kepada pengelola dan masyarakat. Evaluasi dilakukan melalui dua pendekatan: (1) evaluasi teknis berupa pengukuran kualitas air sebelum dan sesudah filtrasi menggunakan parameter pH, TDS, dan kekeruhan, serta (2) evaluasi sosial menggunakan kuesioner skala Likert 1-5 yang mengukur kepuasan, kemudahan penggunaan, dan dampak program terhadap 21 responden. Hasil implementasi menunjukkan peningkatan signifikan: pH meningkat ke rentang netral 7,1–7,4 (memenuhi standar), TDS turun 63,7% dari 512 mg/L menjadi 186 mg/L, dan kekeruhan turun 100% dari 5 NTU menjadi 0 NTU. Sistem IoT memungkinkan monitoring real-time melalui platform digital mudah diakses. Evaluasi terhadap 21 responden menunjukkan kepuasan tinggi (skor 4,62 dari 5,00); 93,3% menyatakan bermanfaat, 90 % merasakan peningkatan kualitas, dan 96,7% mendukung keberlanjutan. Teknologi ini efektif dan berpotensi direplikasi di wilayah lain.
Abstract: At KM 12 Educational Tourism Garden, well water has been used untreated, making its quality dependent on fluctuating natural conditions, marked by high turbidity, high Total Dissolved Solids (TDS), and no real-time monitoring. This program implemented an IoT-based smart filter using ceramsite media, covering filtration unit design, pH and TDS sensor integration, performance testing, and community training for managers and locals. Evaluasi dilakukan melalui dua pendekatan: (1) evaluasi teknis berupa pengukuran kualitas udara sebelum dan sesudah filtrasi menggunakan parameter pH, TDS, dan kekeruhan, serta (2) evaluasi sosial menggunakan kuesioner skala Likert 1-5 yang mengukur kepuasan, kemudahan penggunaan, dan dampak program terhadap 21 responden. Results showed major improvements: pH rose to 7.1–7.4 (meeting standards), TDS dropped by 63.7% from 512 mg/L to 186 mg/L, and turbidity fell by 100% from 5 NTU to 0 NTU. The IoT system enabled real-time monitoring via an accessible digital platform. Surveys from 21 respondents indicated high satisfaction (average score 4.62/5.00); 93.3% found it beneficial, 90 % perceived quality enhancement, and 96.7% supported program continuity. This technology is effective and replicable for similar clean water challenges in other regions.
Keywords
Full Text:
DOWNLOAD [PDF]References
Abrajano, J. V., Nabua, J., Apanay, J., Peña, C. F., & Botangen, K. A. (2024). IoT-Based Water Quality Monitoring System in Philippine Off-Grid Communities. 2024 9th International Conference on Business and Industrial Research (ICBIR), 973–978. https://doi.org/10.1109/ICBIR61386.2024.10875694
Danang, D., Setiawan, N. D., & Siswanto, E. (2024). Pemanfaatan Teknologi Internet of Things untuk Monitoring Kualitas Air Sungai di Wilayah Perkotaan. Journal of New Trends in Sciences, 2(1), 23–34. https://doi.org/10.59031/jnts.v2i1.784
El-Kanj, H. G., Alomari, M. M., & Alshdaifat, N. I. (2025). A renewable smart IoT-based water desalination system: A validated Kuwaiti case study. Results in Engineering, 28, 107693. https://doi.org/10.1016/j.rineng.2025.107693
Erawati, P., Prasti, D., & Kriswinarso, T. B. (2025). Internet of Things (IoT)-Based Water Quality Monitoring System Design for Tilapia Fish Farming Ponds. Brilliance: Research of Artificial Intelligence, 5(2), 860–869. https://doi.org/10.47709/brilliance.v5i2.6927
Eso, R., Mokui, H. T., Arman, A., Safiuddin, L., & Husein, H. (2024). Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming. ComTech: Computer, Mathematics and Engineering Applications, 15(1), 53–63. https://doi.org/10.21512/comtech.v15i1.10657
Essamlali, I., Nhaila, H., & El Khaili, M. (2024). Advances in machine learning and IoT for water quality monitoring: A comprehensive review. Heliyon, 10(6), e27920. https://doi.org/10.1016/j.heliyon.2024.e27920
Flores-Iwasaki, M., Guadalupe, G. A., Pachas-Caycho, M., Chapa-Gonza, S., Mori-Zabarburú, R. C., & Guerrero-Abad, J. C. (2025). Internet of Things (IoT) Sensors for Water Quality Monitoring in Aquaculture Systems: A Systematic Review and Bibliometric Analysis. AgriEngineering, 7(3), 78. https://doi.org/10.3390/agriengineering7030078
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, M. M., & 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
Hairiyah, N., Rahmaida, A., Latifah, R. D., Musthofa, I., Pradesi, J., & Putri, F. P. (2025). Design and Development Of an Iot-Based Water Quality Monitoring System In The Palm Oil Industry At PT. PKIS. Jurnal Teknologi Agro-Industri, 12(2), 158–172. https://doi.org/10.34128/jtai.v12i2.228
Nasution, S. F., Harmadi, H., Suryadi, S., & Widiyatmoko, B. (2024). Development of River Flow and Water Quality Using IOT-based Smart Buoys Environment Monitoring System. JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS, 16(1), 1–12. https://doi.org/10.25077/jif.16.1.1-12.2024
Rahman, S., Suprayogi, T., Nagzizah, F. N., Citrariana, S., Haq, M. H., Gerung, J. B., Rahman, A., Fatiqin, A., Alfanaar, R., Febrianto, Y., & Arsana, M. P. (2024). Initiating Nanobubble Technology for Improving Freshwater Fish Farming Quality. JMM (Jurnal Masyarakat Mandiri), 8(5), 4948–4956. https://doi.org/10.31764/jmm.v8i5.25685
Ramadhan, A. J. (2020). Smart Water-Quality Monitoring System Based On Enabled Real-Time Internet Of Things. Journal of Engineering Science and Technology, 15, 3514–3527.
Rojas, J. J. H., Bonifacio, R. F. A., Peña, J. M. B., Leon, D. R. Q., Peña, C. D. R., & Torres, K. G. P. (2025). Sensors and IoT for Water Quality Monitoring: A Systematic Review of Technologies and Field Validation. Journal of Robotics and Control (JRC), 6(6), 2844–2858. https://doi.org/10.18196/jrc.v6i6.28457
Saad, A., Benyamina, A. E. H., & Gamatie, A. (2020). Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions. IEEE Access, 8, 38082–38097. https://doi.org/10.1109/ACCESS.2020.2974977
Salehin, S., Meem, T. A., Islam, A. J., & Al Islam, N. (2023). Design and Development of a Low-cost IoT-Based Water Quality Monitoring System. The Fourth Industrial Revolution and Beyond. Lecture Notes in Electrical Engineering, 709–721. https://doi.org/10.1007/978-981-19-8032-9_51
Sari, S., Sitorus, H. B. H., Fahsyarezi, G., Ardiansyah, M. S., Firdaus, M. R., Putra, R. I., Fadillah, B. M. R., Ramadhani, S. P., Alauddin, T. F. A., & Regita, C. (2025). Penerapan Teknologi Biofilter untuk Peningkatan Kualitas Air dan Produktivitas Budidaya Ikan Nila. JMM (Jurnal Masyarakat Mandiri), 9(6), 7345–7356.
Utami, S. A. (2026). Analisis Kualitas Air Sumur Bor Berdasarkan Parameter Fisik, Kimia, Dan Biologi Di Dusun Sinah, Desa Pengembur, Kecamatan Pujut. KNOWLEDGE: Jurnal Inovasi Hasil Penelitian Dan Pengembangan, 6(2), 139–149. https://doi.org/10.51878/knowledge.v6i2.10295
Utomo, G. R., Okta, Y. R., Munawar, M. D., Fatimatuzzahro, F., & Hasyim, M. F. (2023). WAQUAL: IoT-Based Integrated Water Turbidity Detection and Monitoring System to Improve Water Quality in Semarang. Proceedings University of Muhammadiyah Yogyakarta Undergraduate Conference, 3(2), 14–22. https://doi.org/10.18196/umygrace.v3i2.587
Wong, Y. J., Nakayama, R., Shimizu, Y., Kamiya, A., Shen, S., & Rashid, I. Z. M. (2021). Toward industrial revolution 4.0: Development, validation, and application of 3D-printed IoT-based water quality monitoring system. Journal of Cleaner Production, 324, 129230. https://doi.org/10.1016/j.jclepro.2021.129230
Zuhaer, A., Khandoker, A., Enayet, N., Partha, P. K. P., & Awal, Md. A. (2026). Sustainable aquaculture: An Iot-integrated system for real-time water quality monitoring featuring advanced do and ammonia sensors. Aquacultural Engineering, 112, 102620. https://doi.org/10.1016/j.aquaeng.2025.102620
DOI: https://doi.org/10.31764/jmm.v10i4.40422
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Lusi Ernawati, Rizqy Romadhona Ginting, Riza Alviany, Abdul Kahfi, Catherina San Gabrelia, Elshanda Nur Alifiyani, Ferry Ramadhan, Hafidz Syaifullah, Khairiyah Maulidia Al Faiza, Majesty Heral Torambung
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
________________________________________________________________
JMM (Jurnal Masyarakat Mandiri) p-ISSN 2598-8158 & e-ISSN 2614-5758
Email: [email protected]
________________________________________________________________
JMM (Jurnal Masyarakat Mandiri) already indexing:
________________________________________________________________
JMM (Jurnal Masyarakat Mandiri) OFFICE: