Rancang Bangun Alat Dengan Sensor Impedansi Berbasis MWCNT Untuk Deteksi Awal Ion Nitrat, Fosfat, Dan Kalium Dalam Larutan

Al Hakim, Dzaky Julian (2025) Rancang Bangun Alat Dengan Sensor Impedansi Berbasis MWCNT Untuk Deteksi Awal Ion Nitrat, Fosfat, Dan Kalium Dalam Larutan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kualitas air merupakan faktor penting dalam berbagai sektor kehidupan. Salah satu parameter utama dalam penentuan kualitas air adalah kandungan nutrisi seperti nitrat (NO3−), fosfat (PO43−), dan kalium (K+), yang selanjutnya dikenal dengan istilah NPK. Penelitian ini bertujuan untuk merancang dan membangun alat deteksi ion NPK dalam larutan menggunakan sensor berbasis sensor Multi-Walled Carbon Nanotube (MWCNT). Sensor ini memanfaatkan prinsip perubahan impedansi akibat interaksi medan listrik dengan ion-ion dalam larutan. Sinyal listrik sinusoidal dihasilkan oleh IC XR2206 sebagai input sensor, kemudian diolah melalui rangkaian pembagi tegangan dan pengkondisian sinyal agar sesuai dengan kemampuan pembacaan mikrokontroler Arduino. Pengukuran impedansi sensor dikalibrasi terhadap pembacaan menggunakan LCR meter dan digunakan untuk mengestimasi konsentrasi senyawa NPK dalam larutan. Estimasi nilai konsentrasi dilakukan melalui metode numerik Newton- Raphson yang menyelesaikan hubungan nonlinear antara impedansi dan konsentrasi. Selain itu, untuk meningkatkan akurasi klasifikasi pada campuran larutan, digunakan algoritma K-Nearest Neighbor (KNN) sebagai sistem klasifikasi berbasis data pelatihan dari hasil karakterisasi sensor. Hasil pengujian menunjukan bahwa alat dapat mendeteksi perubahan impedansi yang dialami oleh sensor pada rentang 9,5
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Water quality is a crucial factor in various sectors of life. One of the main parameters in
determining water quality is the nutrient content, such as nitrate (NO₃⁻), phosphate (PO₄³⁻), and
potassium (K⁺), commonly known as NPK. This study aims to design and develop a device for
detecting NPK ions in solution using a sensor based on Multi-Walled Carbon Nanotubes
(MWCNT). The sensor operates on the principle of impedance changes caused by the
interaction of electric fields with ions in the solution. A sinusoidal electrical signal generated
by the XR2206 IC is used as the sensor input, which is then processed through a voltage divider
circuit and signal conditioning to match the reading capabilities of an Arduino microcontroller.
The sensor’s impedance measurements are calibrated against readings from an LCR meter and
used to estimate NPK compound concentrations in the solution. The concentration estimation
is performed using the Newton-Raphson numerical method to solve the nonlinear relationship
between impedance and concentration. Additionally, to improve classification accuracy in
mixed solutions, the K-Nearest Neighbor (KNN) algorithm is employed as a classification
system based on training data from sensor characterization results. The testing results show that
the device can detect impedance changes within a range of 9.5 kΩ to 22.78 kΩ, with the optimal
concentration classification achieved at 1 ppm of KNO₃ and KCl, with Na₃PO₄ solution concentration variations ranging from 1 to 30 ppm at 5 ppm intervals.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Impedansi, KNN, Newton-Raphson, NPK, Sensor MWCNT. Impedance, KNN, MWCNT Sensor, Newton-Raphson, NPK.
Subjects:	Q Science > QC Physics Q Science > QC Physics > QC100.5 Measuring instruments (General)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Dzaky Julian Al Hakim
Date Deposited:	01 Jul 2025 07:25
Last Modified:	01 Jul 2025 07:25
URI:	http://repository.its.ac.id/id/eprint/119298

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