Putri, Desi Salsabila (2025) FITOPLANKTON SEBAGAI BIOINDIKATOR KUALITAS AIR SUNGAI KALI SURABAYA DITINJAU DARI ANALISIS INDEKS PENCEMARAN (IP) DAN PRINCIPAL COMPONENT ANALYSIS (PCA). Undergraduate thesis, UPN "Veteran" Jawa Timur.
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Abstract
The Kali Surabaya River is one of the rivers polluted by industrial and domestic activities. Typically, water pollution analysis relies solely on conventional methods using physico-chemical parameters, neglecting biological factors. This study aims to analyze phytoplankton biological indices as bioindicators of water quality and integrate them with physico-chemical parameters through Principal Component Analysis (PCA) and Pollution Index (PI) testing. The research was conducted over two weeks at four sampling points. The phytoplankton community structure was dominated by Scenedesmus sp. (22.92%), Nitzschia sp. (12.76%), and Merismopedia sp. (10.75%), indicating that the Kali Surabaya River is experiencing eutrophication due to organic pollution. The Pollution Index results classify the river as slightly polluted (1.8 – 4.935). The PCA represented the largest accumulation of main components (F1 and F2) at 87.54%, grouping sites T1, T2, and T4 into a quadrant associated with pollution from anthropogenic activities, and T3 as a nutrient accumulation area. This study proves the relationship between physico-chemical parameters and phytoplankton as a bioindicator, which can serve as a basis for sustainable water quality monitoring.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | T Technology > TD Environmental technology. Sanitary engineering | ||||||||
| Divisions: | Faculty of Engineering > Departement of Environmental Engineering | ||||||||
| Depositing User: | Desi Salsabila Putri | ||||||||
| Date Deposited: | 03 Dec 2025 07:16 | ||||||||
| Last Modified: | 03 Dec 2025 07:16 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/47485 |
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- FITOPLANKTON SEBAGAI BIOINDIKATOR KUALITAS AIR SUNGAI KALI SURABAYA DITINJAU DARI ANALISIS INDEKS PENCEMARAN (IP) DAN PRINCIPAL COMPONENT ANALYSIS (PCA). (deposited 03 Dec 2025 07:16) [Currently Displayed]
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