Putra, Ferdiansyah (2024) Kajian Metode Analisis Rendah Emisi Parameter SO2 Menggunakan Optical Sensor dan Sistem Color Recognition Berbasis Mobile Software. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Aktivitas manusia dan pertumbuhan industri yang semakin meningkat telah menyebabkan penurunan kualitas udara ambien. Diperlukan upaya pemantauan terhadap parameter-parameter penting kualitas udara. Namun, pemantauan dan pengukuran kualitas udara secara konvensional memerlukan sumber daya yang cukup banyak, bahan kimia yang berbahaya bagi lingkungan, serta menyebabkan pencemaran dan emisi bagi lingkungan. Maka dalam penelitian akan dikaji alternatif metode analisis kualitas udara yang lebih rendah emisi pencemar dan lebih mudah daripada metode konvensional. Penelitian ini menggunakan gas Sulfur dioksida (SO2) sebagai parameter uji yang didasari pada studi awal pembuatan alat alternatif kolom indikator fisiko-kimia dengan prinsip menggunakan larutan penyerap (absorbsi) untuk berinteraksi dengan gas SO2. Larutan penyerap menggunakan larutan Kalium iodat (KIO3) dan penambahan amilum sebagai indikator pewarnaan. Kemudian dikembangkan dengan memodifikasi prinsip pembacaan menggunakan optical sensor dan perancangan mobile software yang mendeteksi konsentrasi gas SO2 dari hasil warna larutan penyerap dengan sistem color recognition dan data mapping. Gas SO2 dipersiapkan pada berbagai konsentrasi, sesuai perhitungan dari Indeks Standar Pencemar Udara (ISPU). Melalui pengembangan metode ini, diharapkan mampu memberikan solusi alternatif untuk mendeteksi gas SO2 dengan penggunaan bahan yang lebih efisien serta lebih mudah digunakan. Telah dilakukan uji coba awal untuk penentuan volume reagen optimum sebesar 1 mL dengan laju aliran 1,5 L/menit selama 10 menit dalam uji coba metode uji alternatif untuk deteksi konsentrasi SO2. Didapatkan penurunan limbah dari pemakaian bahan kimia dari total volume untuk uji deteksi SO2 menggunakan metode uji alternatif sebanyak 83% dibandingkan dengan metode konduktivitas. Selain itu, telah dilakukan pengujian deteksi warna menggunakan rancangan mobile software untuk mendapatkan nilai kode warna HEX, RGB(Red, Green, Blue) dan HSV (Hue, Saturation, Value) yang berbeda di setiap variasi larutan. Terdapat batasan dalam pendeteksian konsentrasi SO2 secara kuantitas berdasarkan kategori ISPU yang mana memiliki batas minimal konsentrasi 26 µg/m3 pada kategori Baik dan maksimal 800 µg/m3 pada kategori Berbahaya. Pada percobaan finalisasi software untuk deteksi 5 variasi konsentrasi SO2 dan kategori ISPU dari 5 sampel mendapatkan hasil 2 data konsentrasi yang akurat sesuai konsentrasi SO2 aktual dan 3 data konsentrasi yang kurang akurat sehingga mendapat 40% hasil keakuratan deteksi konsentrasi.
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The increasing human activities and industrial growth have caused a decline in ambient air quality. Monitoring of important air quality parameters is required. However, conventional air quality monitoring and measurement requires considerable resources, chemicals that are harmful to the environment, and cause pollution and emissions to the environment. Therefore, the research will examine alternative air quality analysis methods that are lower in polluting emissions and easier than conventional methods. This research uses Sulfur dioxide (SO2) gas as a test parameter based on the initial study of making an alternative physico-chemical indicator column tool with the principle of using an absorbent solution to interact with SO2 gas. The absorbing solution uses Potassium iodate (KIO3) solution and the addition of amylum as a coloring indicator. It was expanded by modifying the reading principle using an optical sensor and designing mobile software that detects the concentration of SO2 gas from the color of the absorbent solution with a color recognition and data mapping system. SO2 gas is prepared at various concentrations, according to the calculation of the Air Pollution Standard Index (ISPU). Through the development of this method, it is expected to provide an alternative solution to detect SO2 gas with more efficient use of materials and easier to use. The preliminary test has been conducted to determine the optimum reagent volume of 1 mL with a flow rate of 1.5 L/min for 10 minutes in testing alternative test methods for SO2 concentration detection. A reduction in waste from the use of chemicals from the total volume for the SO2 detection test using the alternative test method was obtained as much as 83% compared to the conductivity method. In addition, color detection testing has been carried out using mobile software design to obtain different HEX, RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) color code values in each solution variation. There are limitations in the detection of SO2 concentration in quantity based on the ISPU category which has a minimum concentration limit of 26 µg/m3 in the Good category and a maximum of 800 µg/m3 in the Hazardous category. In the software finalization experiment for the detection of 5 variations of SO2 concentration and ISPU category from 5 samples, the results obtained 2 accurate concentration data according to the actual SO2 concentration and 3 inaccurate concentration data so as to get 40% concentration detection accuracy results.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Deteksi Emisi, Sulfur Dioksida, Image Processing, Color Recognition, Mobile Software, Emission Detection, Sulfur Dioxide |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering > TD883 Air quality management. T Technology > TD Environmental technology. Sanitary engineering > TD883.5 Air--Pollution T Technology > TR Photography > TR260.7 Autofocus cameras |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Environmental Engineering > 25201-(S1) Undergraduate Thesis |
| Depositing User: | Ferdiansyah Putra |
| Date Deposited: | 02 Aug 2024 03:27 |
| Last Modified: | 09 Sep 2024 06:18 |
| URI: | http://repository.its.ac.id/id/eprint/109516 |
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