Keanekaragaman dan Kelimpahan Makrozoobentos Sebagai Bioindikator Kualitas Air di Situ Patengan, Kabupaten Bandung, Jawa Barat
Bibliographic record
Abstract
Situ Patengan is standing water located at the foot of Mount Patuha, Patengan Village, Rancabali District, Bandung Regency, West Java. Situ Patengan is also used for various activities including as a tourist area, fishing, and tea plantations as well as plantation business rights. The number of activities around Situ Patengan can potentially affect the quality of the waters and the organisms in it, including macrozoobenthos organisms. The presence of macrozoobenthos can also be used as a bioindicator of water quality because it is very sensitive to environmental changes. This study aims to determine the diversity, abundance, and influence of environmental factors on macrozoobenthos and to determine the water quality of Situ Patengan. The research was conducted using the purposive sampling method. Three stations are determined based on environmental factors and land use in the inlet area, forest edge, and tourism area. Based on the results of the study found 3 macrozoobenthos phyla, namely Molluscs (Pomacea canaliculata, Filopaludina javanica), Annelida (Lumbriculus sp.), and Arthropoda (Macrobracium rosenbergii, Enallagma sp., Pelocoris femoratus). Macrozoobenthos diversity ranged from 0.13-1.12 with low to moderate categories while abundance ranged from 11-91 ind/m2 and the Dominance Index in Situ Patengan ranged from 0.003-0.453 with the dominant species being Pomacea canaliculata. The Family Biotic Index shows results from 5.94 to 6.50 with the criteria that the waters at each station are not in good condition. The water quality of Situ Patengan based on macrozoobenthos bioindicators is moderate to heavily polluted. Environmental factors in this study such as depth, brightness, temperature, pH, salinity, and DO have a very low correlation to the family biotic index. Keyword: Bioindicator, diversity, water quality, macrozoobenthos, situ patengan
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".