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BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains
Published by Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi
ISSN : 26223929     EISSN : 25987453     DOI : https://doi.org/10.31539/bioedusains.v4i2.2519
Core Subject : Education,
Education
Bioedusains: Jurnal Pendidikan Biologi dan Sains published by Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE) as an information and communication media for practitioners, researchers and academics who are interested in the field and development of biology education and science. The journal is published annually 2 times every June and December. Accreditation: Grade 3 (Sinta 3), Indonesian Ministry of Research and Technology,/Head of the National Research and Innovation Agency (Nomor 85/M/KPT/2020)First publish in 2018. The Editorial Team invites scientists, scholars, professionals, and researchers to publish the results of their research after the selection of manuscripts, with the peer review and the editing process.
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Articles 387 Documents
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Pengaruh Pemberian ZPT Ekstrak Kecambah Kacang Hijau dan Pestisida Nabati Ekstrak Lidah Buaya Terhadap Pertumbuhan Vegetatif Tanaman Tomat (Solanum lycopersicum) Risti Wahyuni; M. Idris
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 5 (2025): Bioedusains: Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/9ssppz36

Abstract

This study aimed to determine the effects of various concentrations of growth regulators (ZPT) derived from mung bean sprout extract on the vegetative growth of Solanum lycopersicum, as well as the effect of aloe vera extract–based botanical pesticide on pest infestation intensity, either independently or in combination. The study employed a two-factor randomized block design consisting of ZPT concentrations (0%, 20%, 30%, 40%, 50%) and botanical pesticide concentrations (0%, 15%, 40%, 65%, 90%), each with three replications. The results showed that mung bean sprout extract–based ZPT significantly affected all vegetative growth parameters. The 50% concentration produced the greatest plant height (72.93 cm) and number of leaves (70.47), while the highest number of branches was obtained at the 20% (12.67) and 40% (12.53) concentrations. The botanical pesticide made from aloe vera extract significantly reduced pest infestation intensity, with the 65% and 90% concentrations classified as light damage (<25%), while the control (0%) showed very severe damage (>85%). The findings indicate that mung bean sprout–based ZPT effectively improves vegetative growth, and aloe vera–based botanical pesticide effectively suppresses pest attacks; however, their separate application is more optimal for achieving specific targets. Keywords: Pests, Botanical Pesticide, Vegetative Growth, Solanum lycopersicum, ZPT  
Hubungan Keanekaragaman Makrobentos dengan Habitat Ikan di Sungai pada Ekowisata Berbeda Umi Nurjanah; Haqqi Anajili Setiyanto
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/57qx6141

Abstract

This study aimed to analyze the relationship between macrobenthos diversity and fish habitat through biotic and abiotic parameters and provide an overview of the impact of ecotourism on the health of river ecosystems. The methods used include field surveys, macrobenthos sampling using the kicking method, measuring physical and chemical parameters of the water, and statistical analysis. The results obtained are that Kampung Durian tourism has the highest macrobenthos diversity index with an index value of 2.476. The results of the ANOVA analysis showed a significance value of 0.529, which means there is no significant effect between the three levels of ecotourism on the macrobenthos diversity index. The relationship between macrobenthos diversity and fish habitat, namely water chemistry-physics based on regression analysis, has a significant relationship of 0.03. The relationship between temperature and macrobenthos diversity is negative, while pH and DO are positive. The conclusion is that macrobenthos diversity and fish habitat have a significant relationship but there is no significant effect from different levels of ecotourism intensity. Keywords: Ecotourism, Fish Habitat, Macrobenthos
Systematic Literature Review: Pengaruh Model Pembelajaran Problem Based Learning Terhadap Motivasi dan Hasil Belajar Siswa Dwi Jayanti; Satinem; Supriyanto
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/pbv4va63

Abstract

This study aimed to systematically synthesize findings from various studies on the effect of Problem Based Learning (PBL) on students’ motivation and learning outcomes. The method used is Systematic Literature Review (SLR), which includes identification of relevant literature, selection of studies based on inclusion and exclusion criteria, data analysis from previous studies, and synthesis of findings to draw comprehensive conclusions. The results indicate that PBL predominantly has a positive and significant effect on students’ motivation and learning outcomes. The most commonly used research method is quasi-experiment with a posttest only control group design, while the most frequently studied subjects and educational levels are Social Studies (IPS) at the junior high school level (SMP/MTs). In conclusion, this study recommends conducting further research with greater variation in methods, subjects, and educational levels that have been minimally explored.  Keywords: Problem Based Learning, Learning Outcomes, Motivation
Pengembangan Bahan Ajar Konservasi Tanah Berbasis Ekopedagogi Terintegrasi Smart Environmental Monitoring untuk Meningkatkan Kemampuan Analisis Ekologis Siswa Nike Anggraini; Khoiron Nazip
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/r36zzm20

Abstract

This study aimed to develop a soil conservation teaching material based on ecopedagogy integrated with Smart Environmental Monitoring (SEM) to foster students’ ecological analysis skills. The research employed a research and development (R&D) approach adapted from the Borg & Gall model, consisting of four stages: preliminary study, product design, expert validation, and limited effectiveness testing on university students. The teaching material utilizes field data from soil moisture and pH sensors, as well as Sentinel-2 and Landsat 8 satellite imagery, to help students observe land cover changes and soil conditions spatially. Validation results indicated that the teaching material is very feasible with an average score of 92.3%. Effectiveness testing showed an improvement in students’ ecological analysis skills with an N-Gain score of 0.67 (moderate to high category). In conclusion, integrating Smart Environmental Monitoring based on sensors and satellite imagery into ecopedagogical teaching materials is effective in developing students’ analytical and ecological thinking skills regarding sustainable soil conservation issues.   Keywords: Analytical Ecology, Teaching Material, Satellite Imagery, Ecopedagogy, Soil Conservation, Smart Environmental Monitoring
Analisis Motivasi dan Hasil Belajar Siswa pada Pembelajaran IPAS Elza Mardiana; Dodik Mulyono; Supriyanto Supriyanto
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/knrgj302

Abstract

This study aimed to determine the effect of the Discovery Learning model on students’ motivation and learning outcomes in grade III at MI Darussalam. The method used was an experimental research design involving two sample groups, namely an experimental group taught using the Discovery Learning model and a control group taught using conventional learning methods. The results indicate that the implementation of the Discovery Learning model has a positive effect on students’ motivation and learning outcomes compared to conventional learning. In conclusion, the Discovery Learning model is effective in improving motivation and learning outcomes of third-grade students at MI Darussalam.  Keywords: Discovery Learning, Learning Outcomes, Motivation
Analisis Motivasi Belajar Siswa Terhadap Hasil Belajar IPAS Siswa Kelas IV SD Negeri 61 Lubuklinggau Feni Atari Gumai; Sulistiyono; Supriyanto
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/wsavct87

Abstract

This study aimed to determine the effect of the Relating, Experiencing, Applying, Cooperating, Transferring (REACT) learning model on motivation and learning outcomes of fourth-grade students at SD Negeri 61 Lubuklinggau. The method used was an experimental research design involving two sample groups, namely an experimental group that received instruction using the REACT learning model and a control group that received conventional learning. Based on a preliminary study conducted in September 2025 at SD Negeri 61 Lubuklinggau, the learning process was still dominated by the lecture method. This condition tended to cause students to feel bored, resulting in low interest in participating in learning activities. Consequently, the expected learning objectives were not achieved optimally. This was indicated by the average score of the odd-semester daily test in Indonesian language subjects for fourth-grade students in the 2025/2026 academic year, which was still below the Minimum Mastery Criteria (70), with an average score of 65.94. Out of 18 fourth-grade students, only 6 students achieved the Learning Objective Achievement Criteria, while 12 students did not meet the minimum criteria. Keywords: Learning Outcomes, Motivation, Relating, Experiencing, Applying, Cooperating, Transferring (REACT)
Penggunaan Metode Random Forest, Support Vector Machine dan Artificial Neural Networks dalam Prediksi Suhu Udara di Balikpapan Erika Meinofelia; Mochamad Aryono Adhi; Achmad Fahruddin Rais; Djunaidi Djunaidi; Feddy Setio Pribadi
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/9s0xxr05

Abstract

This study aimed to compare the performance of three algorithmic models, namely Random Forest, Support Vector Machine (SVM), and Artificial Neural Networks (ANN), in predicting air temperature in Balikpapan. Changes in air temperature influenced by various climatic and geographical factors present a major challenge in urban planning; thus, accurate predictions are crucial to support sustainable and climate-adaptive city planning. The dataset used consists of observational data from the Balikpapan Meteorological Station, BMKG, over ten years, from January 2014 to December 2024. The models were evaluated using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R Squared (R²) metrics. The results show that the SVM method produced an MAE of 0.17, RMSE of 0.21, and R² of 0.95, providing better predictions than ANN and Random Forest. In conclusion, SVM is an effective method for air temperature prediction in Balikpapan. Keywords: Artificial Neural Networks, Random Forest, Support Vector Machine, Machine Learning, Air Temperature Prediction
Analisis Motivasi dan Hasil Belajar IPAS Siswa pada Materi Bagaimana Aku Tumbuh Besar Rizky Indah Palupi; Supriyanto; Viktor Pandra
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/wbztvg31

Abstract

This study aimed to analyze the relationship between learning motivation and IPAS learning outcomes on the topic How I Grow Up among fifth-grade students of SD Negeri 61 Lubuklinggau. The method used was a descriptive quantitative approach involving 28 students as research subjects. The research instruments consisted of 15 multiple-choice questions to measure learning outcomes and 22 Likert-scale questionnaire items to assess students’ learning motivation. The results showed that the average learning motivation reached 71.3%, categorized as moderate, while the average IPAS learning outcomes reached 76.6%, also categorized as moderate. The analysis indicated a positive relationship between learning motivation and IPAS learning outcomes, although the strength of the relationship was classified as moderate. In conclusion, learning motivation plays a role in students’ IPAS learning outcomes, and improving learning motivation may contribute to better academic achievement. Keywords: Learning Outcomes, IPAS, Learning Motivation
Karakterisasi Morfologi dan Uji Senyawa Kimia Jamur Makroskopis di Logging Over Area (Area Bekas Penebangan) Taman Hutan Raya Sultan Syarif Hasyim Liska Chairani Harahap; Tetty Marta Linda; Nery Sofianti
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/q01whm76

Abstract

This study aimed to determine the types and detect the content of secondary metabolites of macroscopic fungi that are predominantly found in the Sultan Syarif Hasyim Forest Park. The method used in this study was an exploratory method in logged-over areas. The macroscopic fungi found were identified, and the dominant fungi were tested for chemical compounds such as alkaloids, flavonoids, tannins, terpenoids, steroids, and saponins. The morphological characteristics observed were referenced in identification books, applications such as Mushroom Identifier, and websites: champignouf.com and inaturalist.org. Based on the results of the identification of macroscopic fungi in the Sultan Syarif Hasyim Grand Forest Park in Riau Province, there are 10 families with 18 types of macroscopic fungi, namely Fomes fomentarius, Lentinus sp., Microporus affinis, Microporus xanthopus, Pycnoporus sanguineus, Trametes pubescens, Trametes ochracea, Trametes villosa, Auricularia mesenterica, Crepidotus sp., Baeospora myosura, Ganoderma lobatum, Galerina sp., Gymnopilus sp., Fomes fomentarius, Mycena galericulata, Oudemansiella furfuracea, Nigroporus vinosus, Suillus bovinus, and chemical compound testing was conducted on 6 types of fungi, namely Fomes fomentarius, Microporus xanthopus, Microporus affinis, Pycnoporus sanguineus, Ganoderma lobatum, and Trametes ochracea. All dominant fungal species showed positive saponin results. Fomes fomentarius and Ganoderma lobatum showed positive terpenoid results. In conclusion, this study found macroscopic fungi that have potential as medicine. Keywords: Basidiomycota, Exploration, Macroscopic fungi, Sultan Syarif Hasyim Forest Park, and Chemical Compound Testing
Analisis Faktor Abiotik dan Karakteristik Mangrove di Kawasan Hutan Mangrove Langsa Adi Hartono; Enni Halimatussadiyah Pakpahan; Hasbi Assidiqi Nasution; Siti Mutia; Setyawati; Nurshita Dwi Nanda
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 8 No. 6 (2025): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/r0avze83

Abstract

This study aimed to analyze the abiotic factors and morphological characteristics of mangrove vegetation in the Langsa Mangrove Forest area, Aceh. The research was conducted through direct field exploration using descriptive–quantitative methods, involving the observation of vegetative and generative organs of mangrove species and measurement of environmental parameters such as salinity, pH, temperature, and total dissolved solids (TDS). Morphological data were documented and identified using field guides, while abiotic parameters were measured in situ using standard instruments (pH meter, salinometer, DO meter, and thermometer). The results identified eleven mangrove species, including Rhizophora mucronata, R. Apiculata, R. Stylosa, Avicennia alba, Kandelia obovata, Ceriops tagal, Xylocarpus granatum, Acanthus ilicifolius, Scyphiphora hydrophyllacea, Acrostichum aureum, and Casuarina equisetifolia. Each exhibited distinctive morphological adaptations such as prop roots, pneumatophores, thick waxy leaves, and viviparous fruits that support survival in high-salinity and anaerobic conditions. The abiotic data showed an average salinity of 0.92% (≈8.82 ppt), water pH 6.68, soil pH 5.74, temperature 29.18 °C, and electrical conductivity 17.25 mS/cm—values within the optimal range for mangrove growth. These findings indicate that the Langsa mangrove ecosystem remains stable and ecologically healthy, supporting high species diversity. The study concludes that the interaction between abiotic conditions and plant morphology determines the ecological balance of the Langsa mangrove habitat, highlighting the importance of sustainable management and conservation of this coastal ecosystem. Keywords: abiotic factors, environmental parameters, Langsa Mangrove Forest, mangrove ecology, morphological adaptation

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