Rancang Bangun Early Screener Protabel Kualitas Fisik Air Berdasar Permenkes No 2 Tahun 2023 Menggunakan Multi-Parameter Sensor Berbasis Logika Fuzzy Sugeno
Raden Fabian Ar Raafi Hardianto, Dr. Ariesta Martiningtyas H, S.Si., M.Cs.
2026 | Tugas Akhir | D4 Teknologi Rekayasa Instrumentasi dan Kontrol
Air bersih merupakan kebutuhan dasar
yang kualitasnya perlu dipantau secara cepat, namun Instrumen laboratorium
standar untuk uji kualitas air seperti Turbidity Meter TB200 mahal dan
kurang praktis untuk penggunaan lapangan, sehingga penelitian ini merancang
prototipe alat screening kualitas fisik air yang portabel dan mandiri
energi. Menggunakan sensor kekeruhan SEN0189, TDS SEN0244, dan suhu DS18B20
dengan mikrokontroler STM32F401CCU6 (BlackPill), serta Logika Fuzzy
Sugeno Orde-0 (64 aturan) untuk mengklasifikasikan mutu air sesuai Permenkes RI
No. 2 Tahun 2023. Hasil kalibrasi menunjukkan sensor suhu memiliki error
rata-rata 0,23°C dan sensor TDS di bawah 10 ppm pada rentang 0–367 ppm,
sedangkan sensor turbidity menjadi keterbatasan utama karena nilai ADC
tidak konsisten terhadap kenaikan NTU acuan. Pengujian algoritma menunjukkan
hasil perhitungan manual sama persis dengan keluaran firmware, seluruh 64
aturan dinyatakan PASS, dan mekanisme compliance hard gate
bekerja sesuai rancangan. Akurasi klasifikasi keseluruhan pada sampel air nyata
belum dihitung, sehingga alat ini berfungsi sebagai screening awal,
bukan penentu akhir keamanan air.
Clean water is a basic necessity whose quality must be
monitored rapidly, yet Standard laboratory instruments for water quality
testing, such as the TB200 Turbidity Meter, are costly and impractical for
field use, so this study designs a portable, self-powered water quality early
detection prototype using a SEN0189 turbidity sensor, SEN0244 TDS sensor, and
DS18B20 temperature sensor with an STM32F401CCU6 (BlackPill) microcontroller,
and a Sugeno order-0 Fuzzy Logic algorithm (64 rules) to classify water quality
per Indonesian Ministry of Health Regulation No. 2 of 2023. Calibration results
show the temperature sensor had an average error of 0.23°C and the TDS sensor
under 10 ppm within the 0–367 ppm range, while the turbidity sensor was the
main limitation due to inconsistent ADC values against reference NTU. Algorithm
testing showed manual calculations exactly matched firmware output, all 64
rules were marked PASS, and the compliance hard gate functioned as designed.
Overall classification accuracy on real water samples was not calculated, so
the device serves as an initial screening tool rather than a final determinant
of water safety.
Kata Kunci : Kualitas air, Fuzzy Sugeno, klasifikasi, Alat Portabel, Sistem screening
