Sensor Chemocapacitor Terlapis Polimer Untuk Identifikasi Uap Pelarut Organik Menggunakan Neural Network

Indrapraja, Apik Rusdiarna (2017) Sensor Chemocapacitor Terlapis Polimer Untuk Identifikasi Uap Pelarut Organik Menggunakan Neural Network. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Chemocapacitor adalah kapasitor yang mempunyai lapisan sensitif polimer sebagai bahan dielektrik, bila uap pelarut organik terserap ke dalam bahan dielektrik akan mengubah permitivitas bahan, sehingga akan menaikkan nilai kapasitansi.
Uap pelarut sering dijumpai pada beberapa produk rumah tangga, seperti cat, perekat, kosmetik, pewangi ruangan, dan rokok. Beberapa lokasi dapat menghasilkan pencemar uap pelarut seperti pabrik kimia dan pemurnian minyak. Paparan uap tersebut dapat mempengaruhi kesehatan dalam waktu pendek dan dalam jangka panjang dapat menyebabkan kanker. Untuk kepentingan keamanan, pada penyimpanan bahan pelarut harus selalu dideteksi adanya kebocoran yang terjadi sehingga terhindar dari bahaya polusi dan kebakaran. Untuk itu sangat diperlukan suatu jenis sensor yang dapat mengenal jenis uap pelarut dan mengukur konsentrasinya.
Pada penelitian ini dilakukan pengindentifiksian jenis pelarut organik menggunakan sensor chemocapacitor dan neural network. Desain deret sensor chemocapacitor berupa InterDigital Electrode yang dilapisi polimer sebagai bahan dielektrik sehingga fabrikasinya sangat mudah. Polimer yang digunakan OV-101, PEG-1540,OV-17, APEIZON, PVP, PEG-6000, PEG-20M, dan EPON-1001. Pada penelitian ini juga dilakukan karakterisasi sensor akibat pengaruh perubahan suhu, kelembaban udara, dan konsentrasi uap pelarut organik. Jenis gas yang diujikan etanol, aseton dan n-heksana. Hasil pengujian perubahan suhu dan kelembaan, polimer EPON-1001 sangat sensitif terhadap perubahan suhu dan polimer PVP sangat sensitif terhadap kelembaban. Pengujian perubahan konsentrasi uap pelarut organik PEG-1540 mempunyai senitifitas paling tinggi 0,0027pF/103 ppm untuk gas etanol dan 0,00147pF/103 ppm untuk gas aseton. Pengujian identifikasi gas menggunakan neural network mempunyai tingkat keberhasilan 100%. Sistem sensor ini diharapkan dapat digunakan untuk memonitoring kondisi polutan uap pelarut organik di lingkungan

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Chemocapacitor is a capacitor that has a sensitive layer of polymer that serve as dielectric material, when the organic solvent vapor is absorbed into the material dielectric, permittivity of the material will change, so it will increase the value of capacitance.
Solvent vapors was often founded in some household products, such as paints, adhesives, cosmetics, air freshener, and smoke. Some locations could generate solvent vapor contaminator such as chemical plants and oil refining. Exposure of the vapors in the short term can affect the health harassement, in the long term can cause cancer. For safety, the storage of solvents leakage must always be detected to protect from the pollution and fires danger. Because of that, it is necessary to choose a type of sensor that can recognize the type of solvent vapor and measure its concentration.
This research has done identificating an organic solvent type using chemocapacitor sensors and neural network. Chemocapacitor sensor array design in the form of InterDigital Electrode coated polymer as the dielectric material so that the fabrication is very easy. The polymers used OV-101, PEG-1540, OV-17, APEIZON, PVP, PEG-6000, PEG-20M, and EPON-1001. In this study, also carried out the characterization of the sensors due to the influence of changes in temperature, humidity, and concentration of organic solvent vapors. The type of gas being tested are ethanol, acetone and n-hexane. The test results temperature changes and moisture, the polymer EPON-1001 is very sensitive to temperature changes and PVP polymers are very sensitive to moisture. Testing changes in the organic solvent vapor concentrations of PEG-1540 has the highest senitifitas 0,0027pF / 103 ppm for ethanol and 0,00147pF / 103 ppm for acetone gas. Testing of gas identification using neural network has a 100% success rate. This sensor system is expected to be used for monitoring the condition of an organic solvent vapor pollutants in environment.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Chemocapacitor, Interdigital Electrode, Neural Network, Uap pelarut organik,Organic solvent vapor
Subjects: T Technology > TP Chemical technology > TP1140 Polymers
Divisions: Faculty of Industrial Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User: - APIK RUSDIARNA INDRA PRAJA
Date Deposited: 03 Apr 2017 06:55
Last Modified: 06 Mar 2019 02:19
URI: http://repository.its.ac.id/id/eprint/2645

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