RANCANG BANGUN SISTEM PENGISIAN AIR MENGGUNAKAN SENSOR LOAD CELL DAN KENDALI FUZZY LOGIC METODE TAKAGI-SUGENO BERBASIS ARDUINO DENGAN PEMANTAUAN HMI REAL-TIME

Ferhad Zulfas, Galih Setyawan, S.Si., M.Sc., Ph.D.

2026 | Tugas Akhir | D4 Teknologi Rekayasa Instrumentasi dan Kontrol

Proses pengisian air otomatis memerlukan tingkat akurasi yang tinggi agar jumlah air yang diisi sesuai dengan target yang ditentukan. Sistem dengan kecepatan pompa konstan sering menghasilkan overshoot dan kesalahan pengisian karena tidak mampu menyesuaikan laju aliran saat mendekati target. Proyek Akhir ini bertujuan merancang dan membangun sistem pengisian air otomatis berbasis berat menggunakan sensor load cell dan kontrol fuzzy logic metode Takagi-Sugeno untuk mengatur kecepatan pompa secara adaptif. Sistem menggunakan Arduino Nano sebagai pengendali utama, sensor load cell dan modul HX711 sebagai pembaca berat, driver BTS7960 untuk pengaturan PWM pompa DC, solenoid valve sebagai pengatur aliran, serta HMI Nextion sebagai antarmuka pengguna. Pengujian dilakukan pada sistem tanpa kontrol fuzzy logic dan sistem dengan kontrol fuzzy logic Takagi-Sugeno berdasarkan parameter berat akhir, error, persentase error, akurasi, overshoot, rise time, settling time, dan durasi pengisian.

Hasil pengujian menunjukkan bahwa sistem tanpa kontrol menghasilkan rata-rata error 23.2 g, persentase error 5.5%, dan akurasi 94.5%. Setelah diterapkan kontrol Fuzzy Logic Takagi-Sugeno, rata-rata error menurun menjadi 1.2 g, persentase error menjadi 0.2%, dan akurasi meningkat menjadi 99.8%. Selain itu, overshoot menurun dari 5.5% menjadi 0.2% serta settling time berhasil dicapai pada seluruh target pengujian. Hasil tersebut menunjukkan bahwa metode fuzzy logic Takagi-Sugeno efektif meningkatkan akurasi dan kestabilan sistem pengisian air otomatis.

An automatic water filling process requires high accuracy to ensure that the amount of water dispensed matches the desired target. Systems that operate with a constant pump speed often produce overshoot and filling errors because they cannot adjust the flow rate as the measured weight approaches the target value. This Final Project aims to design and develop a weight-based automatic water filling system using a load cell sensor and a Takagi-Sugeno Fuzzy Logic controller to adaptively regulate the pump speed. The system employs an Arduino Nano as the main controller, a load cell sensor and HX711 module for weight measurement, a BTS7960 driver for DC pump PWM control, a solenoid valve for flow regulation, and a Nextion HMI for user interaction and real-time monitoring. Performance evaluation was conducted on both a system without Fuzzy Logic control and a system with Takagi-Sugeno Fuzzy Logic control based on parameters including final weight, error, percentage error, accuracy, overshoot, rise time, settling time, and filling duration.

The experimental results show that the system without control produced an average error of 23.2 g, a percentage error of 5.5%, and an accuracy of 94.5%. After implementing the Takagi-Sugeno Fuzzy Logic controller, the average error decreased to 1.2 g, the percentage error decreased to 0.2%, and the accuracy increased to 99.8%. In addition, the overshoot was reduced from 5.5% to 0.2%, and the settling time was successfully achieved for all testing targets. These results demonstrate that the Takagi-Sugeno Fuzzy Logic method effectively improves the accuracy and stability of the automatic water filling system.

Kata Kunci : Arduino, Fuzzy Logic Takagi-Sugeno, Load Cell, HMI, PWM