Analisis Pengaruh Variasi Laju Alir Gas Pembawa Pada Gugusan Sensor Gas Untuk Deteksi Metanol.

Ramadhany, Fauzya Budi (2022) Analisis Pengaruh Variasi Laju Alir Gas Pembawa Pada Gugusan Sensor Gas Untuk Deteksi Metanol. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Senyawa organik volatil (VOC) adalah kelompok utama polutan udara dalam polusi udara luar ruangan dan polusi udara dalam ruangan. VOC memainkan peran penting dalam kimia atmosfer dan berkontribusi besar terhadap produksi oksidan beracun yang berbahaya bagi ekosistem, kesehatan manusia, dan atmosfer. Metanol adalah salah satu VOC golongan alkohol paling sederhana yang terdapat dalam berbagai produk rumah tangga, bersifat toksik dan karsinogenik apabila masuk ke dalam tubuh melebihi ambang batas. Pengujian senyawa methanol menggunakan gugusan sensor gas semikonduktor oksida logam telah berhasil dilakukan. Pengujian dilakukan secara kualitatif dan kuantitatif. Pada uji kualitatif digunakan enam senyawa volatil organik, yaitu metanol, benzena, etanol, formaldehida, heksana, dan aseton yang dilakukan 5 kali perulangan pada masing-masing senyawa dan laju alir gas pembawa berupa gas nitrogen sebesar 1 SCCM. Sementara pada uji kuantitatif digunakan senyawa metanol dengan 3 macam variasi laju alir gas nitrogen, yaitu 1 SCCM, 3 SCCM, dan 5 SCCM. Pada uji kualitatif, sinyal output gugusan sensor gas dapat dibedakan dengan baik kedalam 6 klaster menggunakan metode Decision Tree Classifier, namun sinyal output tidak dapat dibedakan ketika di klasifikasi menggunakan metode Gaussian Process Classifier. Pada uji kuantitatif, sinyal output gugusan sensor gas di smoothing dengan bantuan filter Moving Average dan Savitzky-Golay. Persen sensitivitas per satuan volume yang diolah dengan regression plot menunjukkan bahwa rentang sensitivitas berbeda-beda untuk setiap sensor. Perbandingan nilai koefisien korelasi gugusan sensor gas dalam berbagai variasi laju alir gas pembawa menunjukkan bahwa, variasi optimum laju alir gas pembawa berada di 3 SCCM.
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Volatile organic compounds (VOCs) are the leading group of air pollutants in outdoor air pollution and indoor air pollution. VOCs play an important role in atmospheric chemistry and contribute significantly to the production of toxic oxidants that are harmful to ecosystems, human health, and the atmosphere. Methanol is one of the simplest alcohol VOCs found in various household products, it is toxic and carcinogenic if it enters the body beyond the threshold. Testing methanol compounds using a metal oxide semiconductor gas sensor group has been successfully carried out. Tests were carried out qualitatively and quantitatively. In the qualitative test, six volatile organic compounds were used: methanol, benzene, ethanol, formaldehyde, hexane, and acetone repeated five times for each compound, and the carrier gas flow rate in the form of nitrogen gas was 1 SCCM. At the same time, the quantitative test used methanol compounds with three kinds of nitrogen gas flow rate variations, namely 1 SCCM, 3 SCCM, and 5 SCCM. The qualitative test can distinguish the output signal of the gas sensor cluster into six groups using the Decision Tree method, but the output signal cannot be determined when classified using the Gaussian Process Classifier method. In the quantitative test, the output signal of the gas sensor cluster is smoothed with the help of the Moving Average and Savitzky-Golay filters. Percent sensitivity per unit volume processed by regression plot shows that each sensor's sensitivity range is different. Comparing the correlation coefficient values of the gas sensor clusters in the various carrier gas flow rate variations, the result indicates that the optimum variety of the carrier gas flow rate is at 3 SCCM.

Item Type:	Thesis (Other)
Additional Information:	RSKi 541.46 Ram a-1 2022
Uncontrolled Keywords:	Filter Savitzky-Golay, Filter Moving Average, Gugusan Sensor Gas, Metanol, Laju Alir Gas Pembawa. Array Gas Sensor, Carrier Gas Flowrate, Methanol, Moving Average Filter, Savitzky-Golay Filter.
Subjects:	Q Science > QD Chemistry > QD471 Chemical compounds - Structure and formulas
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Chemistry > 47201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	07 May 2026 03:54
Last Modified:	07 May 2026 03:54
URI:	http://repository.its.ac.id/id/eprint/133042

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