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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.
Arjuna Subject : -
Articles 427 Documents
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Pengembangan Game Digital Kontekstual “Petualangan Sistem Pencernaan” untuk Meningkatkan Kreativitas dan Hasil Belajar Siswa SMP Gusti Nida Nurkhaliza; Mohamad Nor Aufa; Chandra Anugrah Putra; Muqor Rama Hasanah; Muhammad Hasbie; Najwa Azahra; William Hans Permana
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 2 (2026): 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/yj9j1c11

Abstract

This study aimed to develop and examine the effectiveness of a contextual digital game entitled “Digestive System Adventure” in improving students’ creativity and learning outcomes at the junior high school level. The method used was Research and Development (R&D) with the ADDIE model (Analyze, Design, Development, Implementation, Evaluation). The game product was developed as a web-based application using HTML, CSS, and JavaScript, organized into several levels featuring interactive activities such as drag-and-drop, sequencing, matching, and contextual classification, and equipped with a scoring system and feedback. The results showed that the developed media was categorized as highly feasible based on expert validation of media and content. Furthermore, the contextual digital game proved to be more effective in improving students’ learning outcomes and creativity compared to conventional learning methods. In conclusion, the contextual digital game “Digestive System Adventure” is feasible and effective for enhancing students’ creativity and learning outcomes.  Keywords: Creativity, Digital Game Media, Learning Outcomes, Digestive System, Contextual
Dampak Pengendalian pH Menggunakan Asam Asetat terhadap Sifat Mekanik dan Stabilitas Derajat Putih pada Kain Rajut Poliester Ratih Kurniasari
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 2 (2026): 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: 10.31539/0e8chz04

Abstract

This study aimed to analyze the effect of acetic acid-based pH adjustment on the mechanical properties and whiteness stability of polyester knitted fabrics. The method employed was an experimental approach using varying acetic acid concentrations (0–12%) to generate different pH conditions, followed by testing fabric pH, bursting strength, and phenolic yellowing according to AATCC, ASTM, and ISO standards. The results showed that increasing acetic acid concentration significantly reduced fabric pH. Lower pH conditions improved whiteness stability by reducing yellowing tendency; however, excessive acidity led to decreased mechanical strength. The relationship among pH, mechanical strength, and aesthetic quality exhibited a non-linear pattern with a trade-off between parameters. In conclusion, an optimum pH range was identified to balance mechanical performance and whiteness stability, providing potential contributions to process optimization and quality improvement in polyester textile finishing. Keywords: Acetic Acid, Bursting Strength, pH Adjustment, Polyester Knitted Fabric, Whiteness Stability
Delineasi Sebaran Sesar di Segmen Cihideung, Sesar Lembang Berdasarkan Metode Fault Fracture Density (FFD) Yosefa, Tristin; Supriyadi, Supriyadi; Syirojudin, M.; Setiawan, Yosi
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 2 (2026): 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: 10.31539/21k2m135

Abstract

This study aimed to delineate the distribution of faults and fractures in the Cihideung Segment using the Fault Fracture Density (FFD) method based on high-resolution LiDAR topographic data from BMKG in 2024. The LiDAR-based Digital Elevation Model (DEM) data were processed into multi-azimuth hillshade images, followed by visual interpretation of morphological lineaments digitized as polylines. The density of lineament lengths was then calculated within specific grid units to generate an FFD map for identifying structural deformation zones. The results indicate several zones with high lineament density that follow the main trace of the Lembang Fault and its associated branches, particularly around Cihanjuang Rahayu, Cigugur Girang, Gudangkahuripan, and Pagerwangi. These zones are interpreted  as  areas  experiencing  the  most intensive deformation and therefore have important implications for spatial planning, earthquake hazard mitigation, and landslide risk management in the study area. Keywords: LiDAR, Fault Identification, Lineament, Tectonic Geomorphology, Drone, Digital Elevation Model
Analisis Lama Fermentasi Kombucha Kulit Melon (Cucumis melo L.) Terhadap Aktivitas Antioksidan, pH, Kadar Alkohol, dan Vitamin C Albertha Fausta Nabila; Ambarwati
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 3 (2026): 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/d3mfxw75

Abstract

This study aimed to analyze the effect of fermentation duration on the chemical characteristics of melon peel kombucha (Cucumis melo L.), including vitamin C content, antioxidant activity, alcohol content, and pH value. The research method used was an experimental method with a Completely Randomized Design (CRD) consisting of one factor, namely fermentation duration of 8, 10, and 12 days. Data were analyzed using the Kruskal–Wallis test followed by Duncan’s multiple range test. The results showed that fermentation duration had a significant effect (p < 0.05) on vitamin C content, antioxidant activity, and alcohol content, but had no significant effect on pH value because the pH range remained relatively narrow and stable under acidic conditions during fermentation. The best treatment was obtained at 10 days of fermentation, with vitamin C content of 107.77 mg/100 g and antioxidant activity of 56.21%, while the lowest alcohol content was found at 12 days of fermentation at 0.5% with a pH value of 4.26. In conclusion, a fermentation period of 10 days was considered the optimum condition for producing melon peel kombucha.  Keywords: Antioxidant, Fermentation, Kombucha, Melon Peel, Vitamin C.
Analisis Pertumbuhan BAL dan Khamir pada Masa Fermentasi Sourdough dengan Penambahan Sari Buah Markisa Miftahul Jannah; Rizki Amelia Nasution; Ulfayani Mayasari
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 3 (2026): 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/myws5637

Abstract

This study aimed to determine the growth of lactic acid bacteria (LAB) and yeast during Sourdough fermentation with the addition of passion fruit juice (Passiflora edulis Sims). Sourdough is a fermented dough used as a natural leavening agent in bread making; however, its non-specific aroma is considered one of its weaknesses and reduces consumer interest. The addition of passion fruit juice was intended to improve the aroma characteristics of Sourdough due to the fruit’s distinctive and strong aroma. The methods used in this study included total lactic acid bacteria count and total yeast count to analyze microbial growth during fermentation. The results showed that the populations of LAB and yeast changed throughout the fermentation process in each treatment. The highest LAB count was obtained in treatment P2 on the fifth day, reaching 248.34 × 10⁷ CFU/ml, while the highest yeast  count  was  found  in  treatment  P3  on  the fifth day, reaching 130.01 × 10⁷ CFU/ml. In conclusion, the addition of passion fruit juice affected the microbial dynamics during Sourdough fermentation. The concentration of passion fruit juice and fermentation time played important roles in the growth of LAB and yeast in Sourdough.  Keywords: Lactic Acid Bacteria, Fermentation, Yeast, Sourdough
Prediksi Curah Hujan Menggunakan Model Pembelajaran Mendalam Berbasis GRU dan Attention Apit Sutaryani; Djuniadi Djuniadi; Soenarno; Tri Istiana
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 3 (2026): 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/w7qgs076

Abstract

This study aimed to compare the performance of the Gated Recurrent Unit (GRU) and Attention-Based GRU models in predicting daily rainfall based on historical weather parameters, including average temperature, relative humidity, sunshine duration, and wind speed. The data used were daily data from the Meteorology, Climatology, and Geophysics Agency (BMKG) for the period 2000–2023. The research steps included data preprocessing, feature selection, model training, and performance evaluation using the Root Mean Square Error (RMSE) metric. The results showed that the GRU model produced an RMSE of 0.5984, while the Attention-Based GRU model provided better and more stable performance with an RMSE of 0.5604. The integration of attention mechanisms has been shown to improve prediction accuracy, model stability, and resilience to overfitting, thus contributing to climate change adaptation strategies and decision-making in the agricultural sector. Keywords: Extreme Weather, Rainfall, Deep Learning, Early Warning, Weather Prediction.  
Potensi Biomassa dan Cadangan Karbon pada Tumbuhan Bawah dan Pohon di Hutan Desa Serdang Kawasan Tahura Kabupaten Karo Sumatera Utara Khairunisa Pratiwi; Melfa Aisyah Hutasuhut; Kartika Manalu
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 3 (2026): 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/scpje452

Abstract

This study aimed to determine the diversity, biomass potential, and carbon stocks of understory vegetation and trees in the Serdang Village Forest Area of Tahura, Karo Regency, North Sumatra. The methods used were destructive and non-destructive methods with a purposive sampling technique. Sampling was conducted by establishing measurement plots at three observation locations with a transect length of 150 m. Each location consisted of 10 plots, including 5 plots measuring 20 m × 20 m for tree observations and 5 plots measuring 5 m × 5 m for understory vegetation observations. The results showed that 25 understory plant species belonging to 20 families were identified with a diversity index of 2.66, while 22 tree species belonging to 16 families were identified with a diversity index of 2.38. The biomass of understory vegetation was 0.48 tons/ha with an average of 0.136 tons/ha, whereas tree biomass reached 2366.11 tons/ha with an average of 107.55 tons/ha. The carbon stock of understory vegetation and trees was 1183.194 tons/ha with an average of 591.597 tons/ha. Environmental factors influencing the diversity and biomass of understory vegetation and trees included temperature, humidity, light intensity, and altitude. The study concluded that the Serdang Village Forest Area of Tahura, Karo Regency, has a moderate level of biodiversity with high biomass and carbon stock potential, indicating its important role in carbon storage and ecosystem balance. Keywords: Biodiversity, Biomass, Carbon Stock  

Page 43 of 43 | Total Record : 427

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