Agustin, Dita Nabila (2022) Identifikasi Dan Validasi Metode Penentuan Senyawa Benzena Menggunakan Rancangan Senor Gas Berbasis Logam Oksida Semikonduktor SnO2. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Telah dilakukan identifikasi dan validasi metode penentuan senyawa benzena dengan menggunakan rancangan sensor gas berbasis logam oksida semikonduktor SnO2. Pengujian yang dilakukan pada penelitian ini adalah uji kualitatif dan uji kuantitatif. Uji kualitatif dilakukan dengan injeksi senyawa metanol, benzena, etanol, formaldehida, n-heksana, dan aseton ke dalam rangkaian alat sebanyak 100 μL dengan dialirkan oleh gas pembawa nitrogen. Hasil respons sinyal output sensor diolah menggunakan metode klasifikasi Support Vector Classifier dan Random Forest Classifier yang disajikan menggunakan Contingency Matrix untuk mengetahui sensitivitas sensor serta mengidentifikasi senyawa organik volatil yang berbeda. Uji kuantitatif dilakukan dengan injeksi senyawa benzena 350 μL sebanyak 7 kali replikasi dan hasil sinyal output sensor di perhalus (smoothing) menggunakan metode Moving Average dan Savitzky Golay Filter. Telah dilakukan pula validasi metode analisis rancangan sensor gas pada penelitian ini dengan cara injeksi benzena menggunakan variasi volume 150 μL, 200 μL, 250 μL, 300 μL, 350 μL, dan 400 μL untuk dibuat kurva kalibrasinya. Dari uji kualitatif didapatkan bahwa senyawa-senyawa terklasifikasi dengan baik menggunakan Random Forest Classifier dengan akurasi 100%. Dari uji kuantitatif didapatkan bahwa sensor MQ-9, MQ-135, dan MQ-4 menghasilkan presisi dan akurasi yang baik. Pada metode limit deteksi, sensor MQ-4 memenuhi seluruh syarat. Tetapi sensor MQ-9 dan MQ-135 tidak memenuhi salah satu syarat limit deteksi.
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The identification and method validation for determination of benzene has been successfully carried out using gas sensor array based on metal oxide semiconductor SnO2. The determination of benzene in this study was carried out by qualitative and quantitative analysis. Qualitative analysis was carried out by injecting 100 μL of methanol, benzene, ethanol, formaldehyde, n-hexane, and acetone compounds into the mixing chamber along with nitrogen gas as a gas carrier. The sensor output signal were processed using the Support Vector Classifier and Random Forest Classifier which were presented using a Contingency Matrix to classify the volatile organic compound that introduce to sensors. The quantitative analysis was carried out by injecting 350 μL of benzene compound for 7 times and the results of the sensor output signal were smoothed using the Moving Average and Safitzky Golay Filter. The validation of the gas sensor array analysis method has also been carried out in this study by injecting 150 μL, 200 μL, 250 μL, 300 μL, 350 μL, and 400 μL benzene to make a calibration curve. From the qualitative analysis, it was found that all the compounds were well classified using Random Forest Classifier with 100% accuracy. From the quantitative analysis, it was found that the MQ-9, MQ-135, and MQ-4 sensors produced a good precision and accuracy. From the method detection limit, MQ-4 sensor met all the requirements. But the MQ-9 and MQ-135 sensors did not meet one of the detection limit requirement.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSKi 537.622 Agu i-1 2022 |
| Uncontrolled Keywords: | Benzena, Klasifikasi, Penghalusan Respons Sinyal, Sensor Gas, Senyawa Organik Volatil, Validasi Metode Analisis.Benzene, Classification, Smoothing of The Signal Responses, Volatile Organic Compound, Validation Method Analytical. |
| Subjects: | Q Science > QD Chemistry > QD115 Electrochemical analysis |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Chemistry > 47201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 07 May 2026 07:39 |
| Last Modified: | 08 May 2026 01:12 |
| URI: | http://repository.its.ac.id/id/eprint/132970 |
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