SIMARMATA, ANITA SARAH and Melki, Melki and Diansyah, Gusti (2021) SEBARAN TOTAL SUSPENDED SOLID (TSS) DI PANTAI REBO KABUPATEN BANGKA, PROVINSI BANGKA BELITUNG MENGGUNAKAN CITRA SENTINEL. Undergraduate thesis, Sriwijaya University.
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Abstract
TSS (Total Suspended Solid) adalah bahan-bahan tersuspensi berupa partikel zat padat yang masuk ke perairan dan menyebabkan adanya dampak buruk terhadap kualitas air dan mengurangi penetrasi cahaya yang masuk ke dalam kolom perairan. Salah satu upaya dalam memperoleh informasi mengenai TSS di perairan yaitu dengan menggunakan teknologi penginderaan jauh. Tujuan dilaksanakannya penelitian ini adalah menganalisis pola perbandingan konsentrasi TSS di perairan Pantai Rebo pada tahun 2018 dan tahun 2020 serta menentukan kondisi perairan dengan menggunakan algoritma yang paling sesuai dengan perairan melalui pengolahan citra sentinel-2A. Penelitian ini telah dilaksanakan pada 05 September 2020 di Perairan Pantai Rebo Kabupaten Bangka. Hasil penelitian menunjukkan bahwa Algoritma Budhiman merupakan algoritma yang paling sesuai dengan data lapangan dengan regresi R² sebesar 0,485. Sebaran TSS pada tahun 2018 memiliki kisaran nilai antara 79-294 mg/l mg/l dan sebaran TSS pada tahun 2020 dengan kisaran 52-371 mg/l. Dari hasil perbandingan nilai TSS tahun 2018 dan 2020 maka didapatkan tidak telalu signifikan. TSS (Total suspended solid) are suspended materials in the form of solid particles that enter the water and cause a bad impact on water quality and reduce the penetration of light that entering the water column. One of the efforts to obtain the information about TSS in waters is by using the remote sensing technology. The purpose of carrying out this research is to analyze the comparison pattern of TSS concentrations in the waters of Rebo Beach in 2018 and 2020 and determine the condition of the waters using an algorithm that is most suitable for the waters through sentinel-2A image processing. This research was conducted on September 5, 2020 in the waters of Rebo Beach, Bangka Regency. The results showed that the Budhiman Algorithm is the most suitable algorithm with field data with a regression of R² of 0.485. The distribution of TSS in 2018 has a value range between 79-294 mg/l and the distribution of TSS in 2020 is in the range of 52-371 mg / l. From the results of the comparison of TSS values in 2018 and 2020, it was found that they were not too significant.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Algoritma Budhiman, Pantai Rebo, Penginderaan Jauh, Sentinel-2A, Total Suspended Solid. |
Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
Divisions: | 08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1) |
Depositing User: | Users 11432 not found. |
Date Deposited: | 30 Mar 2021 08:21 |
Last Modified: | 30 Mar 2021 08:21 |
URI: | http://repository.unsri.ac.id/id/eprint/44407 |
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