Wiyona, Sartika Okta (2024) Rancang Bangun Sistem Deteksi Degradasi Berbasis Internet Of Things Dalam Reaktor Fotodegradasi Limbah Tekstil Metilen Biru dengan Fotokatalis pada Substrat Lapisan TiO2. Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 5001201156-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
5001201156-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (2MB) | Request a copy |
Abstract
Limbah tekstil dapat menimbulkan berbagai permasalahan lingkungan, terutama dari pewarnaan dengan zat warna sintetis seperti metilen biru. Penanganan limbah ini rumit dan memerlukan beberapa langkah hingga menjadi limbah baku mutu yang aman dan sesuai standar untuk dilepaskan ke lingkungan. Berbagai teknik penanggulangan limbah tekstil telah dikembangkan, seperti metode adsorpsi, koagulasi, dan flokulasi. Tetapi metode ini dirasa kurang efektif karena zat warna metilen memiliki ukuran besar, sehingga zat warna tekstil yang diadsorpsi masih terakumulasi di dalam adsorben yang dapat membatasi efektivitasnya, dengan kata lain hanya memindahkan zat warna dari fase cair menjadi fase padat, bukan menguraikan senyawa-senyawa kompleks. Hal itu akan menimbulkan permasalahan baru. Studi tentang penggunaan material semikonduktor dengan fotokatalisis untuk degradasi polutan air menjadi topik yang terus dikembangkan. Sehingga penelitian ini dibuat rancang bangun sistem yang menggabungkan teknologi fotokatalisis Titanium Dioksida (TiO2) dideposisi pada substrat menggunakan metode spray coating dengan integrasi tiga sensor fotodioda dan LED RGB berbasis Internet of Things (IoT) untuk memonitor tingkat degradasi larutan metilen biru secara real-time. Hasil penelitian menunjukkan penurunan konsentrasi larutan sebesar 2,7 ppm dengan persentase degradasi sebesar 27% selama 5 jam treatment dilakukan. Penggunaan tiga sensor fotodioda membantu meminimalkan kesalahan pengukuran. Pengukuran intensitas dengan LED RGB warna merah meningkat signifikan sesuai dengan penurunan konsentrasi metilen biru, dibandingkan warna hijau dan biru. Pengaruh debit aliran yang lebih rendah dapat meningkatkan efisiensi degradasi pada reaktor.
========================================================================================================================
Textile waste can cause various environmental problems, particularly from dyeing with synthetic dyes like methylene blue. Handling this waste is complex and requires several steps to become safe and standard-compliant for environmental release. Various textile waste treatment techniques have been developed, such as adsorption, coagulation, and flocculation. However, these methods are considered less effective because methylene dye particles are large, causing the adsorbed dyes to accumulate within the adsorbent, limiting their effectiveness. This means the dyes are merely transferred from liquid to solid phase rather than breaking down complex compounds, leading to new problems. Studies on the use of semiconductor materials with photocatalysis for the degradation of water pollutants continue to be developed. Therefore, this research designed a system combining Titanium Dioxide (TiO2) photocatalysis technology deposited on a substrate using spray coating, integrating three photodiode sensors and RGB LED based on the Internet of Things (IoT) to monitor the degradation level of methylene blue solution in real-time. The results showed a decrease in solution concentration by 2.7 ppm with a degradation percentage of 27% over 5 hours of treatment. The use of three photodiode sensors helps minimize measurement errors. The intensity measurement with red LED increased significantly in line with the decrease in methylene blue concentration, compared to green and blue LEDs. The influence of lower flow rates improved degradation efficiency of the reactor.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Degradation, Photocatalysis, Internet of Things, Spray Coating Degradasi, Fotokatalisis, Internet of Things, Spray Coating. |
| Subjects: | Q Science > QD Chemistry > QD716 Photocatalysis. T Technology > TA Engineering (General). Civil engineering (General) > TA418.9.C57 Coatings T Technology > TD Environmental technology. Sanitary engineering > TD420 Water pollution T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments T Technology > TP Chemical technology > TP155.7 Chemical processes. |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Sartika Okta Wiyona |
| Date Deposited: | 07 Aug 2024 02:31 |
| Last Modified: | 07 Aug 2024 02:31 |
| URI: | http://repository.its.ac.id/id/eprint/114259 |
Actions (login required)
 |
View Item |