Struktur Komunitas Fitoplankton dan Tingkat Pencemaran di Danau Dendam Tak Sudah, Kota Bengkulu
Why this work is in the frame
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Bibliographic record
Abstract
Dendam Tak Sudah Lake (DDTS) is an aquatic ecosystem and nature reserve located in Dusun Besar Village, Singgaran Pati District, Bengkulu City. Its presence serves not only as a tourist destination and irrigation water supply for rice fields but also as a habitat for phytoplankton. The land use changes around the DDTS Nature Reserve have impacted the water quality of the lake, and phytoplankton are among the biota affected by these pressures. This study aims to assess the phytoplankton community structure and the pollution level in DDTS. The research was conducted by identifying and counting each phytoplankton species found and analyzing water quality. The results of the study showed that the phytoplankton richness in DDTS consisted of 20 species, including 8 species from the Bacillariophyceae class, 6 species from the Chlorophyceae class, 2 species from the Cyanophyceae class, and 4 species from the Euglenophyceae class. The highest phytoplankton abundance was found at the inlet with 1,135.2 individuals/l, followed by the midlet with 1,095.6 individuals/l, and the outlet with 997.2 individuals/l. The diversity index values were high (2.6-2.8), the evenness index was high (0.95-0.96), and dominance was low (0.07-0.08). The saprobic coefficient in DDTS was classified as β-Meso/Oligosaprobic, indicating that the water quality is lightly polluted, with a saprobic index value ranging from 0.6 to 0.87.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it