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Assessing Water Pollution at Sail River: Insights from Plankton Abundance as an Ecological Indicator in Riau, Indonesia Marta Dinata; Rahmat Ramadansur; Al Khudri Sembiring; Irwan Effendi
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 3: July 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i3.20653

Abstract

Plankton is an effective bioindicator for diagnosing freshwater pollution. We assessed the plankton community structure at three Sail River sites representing residential, industrial-urban, and agro-rural influences, and correlated biological indices with physicochemical parameters. Purposeful sampling and standard microscopy were used to identify and quantify taxa; Shannon diversity (H′), equitability index (E), dominance (D), trophic status, and saprobicity were obtained. In total, 106 taxa were recorded (zooplankton: 4 species in 3 higher groups; phytoplankton: 102 species in 20 classes). Phytoplankton abundance ranged from 3.0–9.1 × 10³ cells L⁻¹ across sites (mesotrophic), while zooplankton ranged from 1.9–161 × 10³ individuals L⁻¹. Phytoplankton diversity was moderate to high (H′ = 2.1–3.2) at less impacted sites and lower at residential sites; zooplankton diversity was low to moderate (H′ = 1.3–1.5). Saprobicity scores indicated β–α mesosaprobic conditions (light to moderate organic impact), consistent with elevated COD and low DO at residential sites. Cyanophyceae and Euglenophyceae were more frequent at sites with higher organic and nutrient loads, while Bacillariophyceae increased with increasing water clarity/flow. Overall, plankton metrics and chemistry indicated local organic stress rather than an “unpolluted” state. We emphasize the need for seasonal replication and more accurate quantification to reduce uncertainty in abundance estimates.
The Influence of the Problem-Solving Learning Model on Student Learning Outcomes in Ecosystem Material at State Senior High School 9 Pekanbaru Diah Orina Diah; Rahmat Ramadansur; Al Kludri Sembiring; Marta Dinata
QUANTUM: Jurnal Pembelajaran IPA dan Aplikasinya Vol. 6 No. 1 (2026)
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Melawi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46368/qjpia.v6i1.4741

Abstract

Problem Solving is a learning model that presents material to students, is given problems to solve and gains knowledge in the process of finding, analyzing and solving a problem in a systematic and creative way to achieve the desired goal or solution, known as problem solving. This research aims to determine the influence of the problem solving learning model on learning outcomes in ecosystem material for students at SMA Negeri 9 Pekanbaru. The population in this study were all class X students of SMA Negeri 9 Pekanbaru for the 2024/2025 academic year. This research uses a quantitative method with a non-equivalent pretest-posttest control group design by managing data for a control class with a total of 45 students and an experimental class with a total of 45 students taken using a purposive sampling technique. The instruments in this research are teaching modules and problem solving LKPD. Data collection techniques include learning results tests and teacher and student activity sheets. Student learning results show that the average N-gain value for the control class is 0.31 (medium) while the average N-gain value for the experimental class is 0.58 (medium). The results of the N-Gain t-test obtained a sig value. (2-tailed) 0.00<0.05 then reject H0, meaning there is a significant difference in learning outcomes between the control class and the experimental class. So the conclusion of this research is that there is an influence of the problem solving learning model on learning outcomes in ecosystem material for students at SMA Negeri 9 Pekanbaru. Keywords: Problem Solving, Learning Models, Learning Outcomes, Ecosystem.