DIANDRI, MUHAMMAD ALIEF (2026) PERANCANGAN SISTEM MONITORING DAN KONTROL FILTRASI AIR BERBASIS IOT DENGAN SISTEM FOTOVOLTAIK MENGGUNAKAN METODE FUZZY LOGIC. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The availability of clean water is a fundamental need, yet household water quality often fails to meet standards due to the limitations of conventional static filtration systems lacking real-time monitoring. This study aims to design and implement an IoT-based water filtration monitoring and control system integrating fuzzy logic and solar energy. The system consists of a multimedia filtration unit (silica sand, activated sand, manganese greensand, zeolite, and activated carbon), water quality sensors (pH, TDS, turbidity), an ESP32 microcontroller, and a solar power supply with a 10 Wp panel and LiPo battery. A Sugeno fuzzy algorithm is employed for adaptive decision-making based on sensor data. Test results demonstrate significant improvement in water quality with the following filtration effectiveness: for tap water, TDS decreased by 11% (from 158–172 ppm to 142– 151 ppm) and turbidity by 65% (from 0.6–1.4 NTU to 0.2–0.5 NTU); for groundwater, turbidity decreased by 59% and pH improved by 33% toward neutral; for floodwater, turbidity decreased by 82%, TDS by 26%, and pH improved by 48% toward neutral. The system operates autonomously using solar energy, with a total power consumption of 22.44 W, and provides a real-time webbased monitoring dashboard displaying historical data and water status. This research offers a smart, sustainable, and adaptive household water filtration solution, with potential for further development in community-scale or remote area applications. Keywords: IoT, Fuzzy Logic, Water Filtration, Solar Energy, Real-Time Monitoring. Ketersediaan air bersih merupakan kebutuhan mendasar, namun kualitas air rumah tangga sering tidak memenuhi standar akibat keterbatasan sistem filtrasi konvensional yang bersifat statis dan tanpa pemantauan real‑time. Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring dan kontrol filtrasi air berbasis IoT yang mengintegrasikan logika fuzzy dan energi surya. Sistem terdiri dari unit filtrasi multimedia (pasir silika, pasir aktif, manganese greensand, zeolit, dan karbon aktif), sensor kualitas air (pH, TDS, kekeruhan), mikrokontroler ESP32, serta catu daya surya dengan panel 10 Wp dan baterai LiPo. Algoritma fuzzy Sugeno digunakan untuk pengambilan keputusan adaptif berdasarkan data sensor. Hasil pengujian menunjukkan peningkatan kualitas air secara signifikan dengan efektivitas penyaringan sebagai berikut: pada air PDAM, TDS turun 11 % (dari 158–172 ppm menjadi 142–151 ppm) dan kekeruhan turun 65 % (dari 0,6–1,4 NTU menjadi 0,2–0,5 NTU); pada air tanah, kekeruhan turun 59 % dan pH membaik 33 % menuju netral; pada air banjir, kekeruhan turun 82 %, TDS turun 26 %, dan pH membaik 48 % menuju netral. Sistem beroperasi mandiri dengan energi surya, mengkonsumsi daya total 22,44 W, dan menyediakan dashboard monitoring real‑time berbasis web yang menampilkan data historis dan status air. Penelitian ini menghadirkan solusi filtrasi air rumah tangga yang cerdas, berkelanjutan, dan adaptif, dengan potensi pengembangan lebih lanjut untuk aplikasi komunitas atau daerah terpencil. Kata Kunci: IoT, Logika Fuzzy, Filtrasi Air, Energi Surya, Monitoring Real-Time.
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