Estimasi Total Suspended Solid (TSS) dengan Citra Sentinel-2 untuk Analisis Kualitas Air di Waduk Cengklik, Boyolali

Kusuma, Mahyan Danu (2025) Estimasi Total Suspended Solid (TSS) dengan Citra Sentinel-2 untuk Analisis Kualitas Air di Waduk Cengklik, Boyolali. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Waduk Cengklik yang terletak di Kabupaten Boyolali, Jawa Tengah, memiliki fungsi vital dalam mendukung sistem irigasi, pengendalian banjir, perikanan, serta pariwisata. Namun, peningkatan aktivitas antropogenik di sekitarnya menyebabkan degradasi kualitas air, terutama melalui peningkatan konsentrasi Total Suspended Solid (TSS). Penelitian ini bertujuan untuk mengestimasi konsentrasi TSS secara spasial dan temporal dengan memanfaatkan citra satelit Sentinel-2 menggunakan pendekatan algoritma empiris berbasis regresi linier berganda. Model dibangun dengan menggunakan nilai reflektansi dari band 5 (705 nm) dan band 9 (945 nm), yang dikalibrasikan dengan data TSS hasil pengukuran in situ. Enam citra Sentinel-2 Level 2 diolah menggunakan perangkat lunak SNAP, dengan tahapan koreksi atmosfer hingga ekstraksi nilai reflektansi. Analisis dan visualisasi peta distribusi TSS dilakukan menggunakan bahasa pemrograman R. Hasil model menunjukkan tingkat akurasi yang cukup baik dengan nilai koefisien determinasi (R²) sebesar 0,66 dan nilai RMSE sebesar 4,34. Secara temporal, konsentrasi TSS tertinggi terdeteksi pada bulan September, mengindikasikan pengaruh kuat dari curah hujan dan aktivitas lahan. Penelitian ini menunjukkan bahwa penggunaan band 5 dan band 9 Sentinel-2 melalui pendekatan regresi linier berganda efektif dalam mengestimasi sebaran TSS di perairan darat tropis. Pemanfaatan citra satelit beresolusi tinggi dapat menjadi alternatif pemantauan kualitas air yang efisien, akurat, dan berkelanjutan.
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Cengklik Reservoir, located in Boyolali Regency, Central Java, plays a vital role in supporting irrigation systems, flood control, fisheries, and tourism. However, increasing anthropogenic activities in the surrounding area have led to water quality degradation, particularly through elevated concentrations of Total Suspended Solid (TSS). This study aims to estimate TSS concentrations spatially and temporally using Sentinel-2 satellite imagery through an empirical algorithm based on multiple linear regression. The model was developed using reflectance values from Band 5 (705 nm) and Band 9 (945 nm), calibrated with in situ TSS measurement data. Six Sentinel-2 Level 2 images were processed using SNAP software, including atmospheric correction and reflectance value extraction. The analysis and visualization of TSS distribution maps were conducted using the R programming language. The model results showed a reasonably good level of accuracy, with a coefficient of determination (R²) of 0.66 and a Root Mean Square Error (RMSE) of 4.34. Temporally, the highest TSS concentration was detected in September, indicating a strong influence from rainfall and land use activities. This study demonstrates that the use of Sentinel-2 Band 5 and Band 9 through a multiple linear regression approach is effective for estimating TSS distribution in tropical inland waters. The use of high-resolution satellite imagery can serve as an efficient, accurate, and sustainable alternative for water quality monitoring.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Total Suspended Solid (TSS), Waduk Cengklik, Sentinel-2, Kualitas Air, Total Suspended Solid (TSS), Cengklik Reservoir, Sentinel-2, Water Quality
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Mahyan Danu Kusuma
Date Deposited:	06 Aug 2025 08:00
Last Modified:	06 Aug 2025 08:00
URI:	http://repository.its.ac.id/id/eprint/127829

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