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The Effect of Using E-modules in Biology Learning on Learning Outcomes of High School and University Students: Meta-Analysis Arifin, Nurfadila; Effendi, M. Harja; Purwati, Nining
Biota Vol 17 No 1 (2024)
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jb.v17i1.498

Abstract

This study aims to determine the effect size (ES) of the application of e-modules in biology learning on student's learning outcomes. This study uses the type of meta-analysis research. The research sample consisted of 14 articles sourced from the results of article identification through Google Scholar and Eric. The research data were collected based on the reference of inclusion and exclusion criteria. Data analysis was conducted by calculating the ES value using Cohen’s d formula. The results of data analysis showed that there were 14 articles divided into two levels of education, namely high school (9 articles) and university (5 articles) with a total average effect size score of 1,14 which means the effect size criteria are very large (VL). The ES average score for the high school level is 1,20 or very large (VL) ES average, while the ES average score for the university level is 1,02 or categorized as large (L) ES average. Therefore, it can be concluded that the effect size of the application of e-modules in biology learning has a significant impact on improving student learning outcomes.
Bivalve Biodiversity in Ekas Waters as an Indicator of Aquatic Environmental Quality Purbajati, Lalu Kinayung; Haris, Ali; Mukminah, Mukminah; Effendi, M. Harja
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11700

Abstract

Bivalves are one of the aquatic organism groups that play an important role in maintaining the balance of aquatic ecosystems. This role makes bivalves essential not only in food webs but also in sustaining overall water quality. This study employed a quantitative descriptive approach using a purposive sampling method. Sampling was conducted using hand nets, forceps, 1 × 1 m quadrat frames, buckets, plastic containers, gastropod identification guides, a GPS device, a pH meter, millimeter block paper, and a camera. The collected data were analyzed using community structure indices, including the Shannon–Wiener diversity index, evenness index, species richness index, Simpson dominance index, and importance value index. These indices were then interpreted to describe the condition of the aquatic environment. The results of the bivalve community structure analysis showed that the Shannon–Wiener diversity index (H′ = 1.840) indicated a moderate level of diversity, accompanied by a high evenness index (E = 0.885) and a low Simpson dominance index (D = 0.174). This combination of values suggests a relatively even distribution of individuals among species, with no single species strongly dominating the community. Overall, these conditions indicate that the water quality at the study site can be classified as moderate to good, or lightly polluted, and remains capable of supporting the sustainability of various benthic species.