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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Bioeducation Journal Quagga Bioedukasi: Jurnal Pendidikan Biologi Bioeksperimen: Jurnal Penelitian Biologi Jurnal Florea Jurnal Bioedukasi BIOMA BIOMA : Jurnal Biologi Makassar BIOLINK (Jurnal Biologi Lingkungan, Industri, Kesehatan) Jurnal Kesehatan Bakti Tunas Husada Jurnal Bioedukatika Biosfer: Jurnal Pendidikan Biologi BIOEDUSCIENCE EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA LENSA (Lentera Sains): Jurnal Pendidikan IPA Abdimas Dewantara CARADDE: Jurnal Pengabdian Kepada Masyarakat AGRITEKNO, Jurnal Teknologi Pertanian Bioedukasi: Jurnal Pendidikan Biologi JPBIO (Jurnal Pendidikan Biologi) Bioedusiana: Jurnal Pendidikan Biologi Jurnal Mangifera Edu Indonesian Journal of Energy Jurnal Metaedukasi : Jurnal Ilmiah Pendidikan 3BIO: Journal of Biological Science, Technology and Management Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Bioeduca : Journal of Biology Education Journal of Agriculture and Applied Biology International Journal of Multidisciplinary: Applied Business and Education Research Journal of Agriculture and Applied Biology ( JAAB) Journal of Natural Sciences Media Pertanian SN-Biosper Biological Environment and Pollution Engagement: Jurnal Pengabdian Kepada Masyarakat Maximus: Journal of Biological and Life Sciences Jurnal Pengabdian Siliwangi
Vita Meylani
Pendidikan Biologi, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Siliwangi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Immunology & microbiology Library & Information Science Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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Deep Learning in Biology: 3D Representation of Online and Reality Suprapto, Purwati K.; Ardiansyah, Ryan; Chaidir, Diki M.; Baiq , Baiq; Meylani, Vita
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 3 No. 4 (2022): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.03.04.09

Abstract

Deep learning is required to examine biological material, particularly abstract content, either in the laboratory alone or with internet literature. This study aims to compare the effectiveness of learning through practicum versus learning through a combination of practicum (real-world data) and online literature review in terms of the ability to represent the three-dimensional (3D) model of plant tissue structure in a plant anatomy course. This study employed a quantitative approach with a quasi-experimental design in the posttest alone control group. This research used Purposive sampling to choose the research sample, which consisted of two classes of students enrolled in a plant anatomy course. ANOVA was used to analyze the data, with a significance level of 0.05. The results indicated a significant difference in learning when combined practicum was with online literature study visuospatial when practicum was used alone with a more excellent 3D model representation value in the class. Classes that combine an applied practicum with an online literature review have a grade point average of 73.61.
Using Machine Learning to Model Future Distributions of Babandotan Ageratum conyzoides L. Under Climate Change Scenarios (CMIP 5: RCP 2.6 and RCP 8.5) until 2070 in Bandung Areas Andriwibowo, Andriwibowo; Meylani, Vita
3BIO: Journal of Biological Science, Technology and Management Vol. 7 No. 2 (2025)
Publisher : School of Life Sciences and Technology, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/3bio.2025.7.2.3

Abstract

Ageratum conyzoides L., locally known as Babandotan, is an important plant in particular in West Java, including in Bandung, due to its medicinal uses. Currently, climate change is known to influence the distribution of organisms by altering climates and making habitats suitable or not suitable. Then, this present study is aiming to use machine learning to model future distributions of A. conyzoides under climate change scenarios CMIP 5 RCP 8.5 until 2070 in Bandung areas. The A. conyzoides occurrences were sampled from nine locations in Bandung and its surrounding areas. Machine learning using the R platform and MaxEnt algorithm was used to develop species distribution modeling (SDM). The model was then simulated using RCP 2.6 and 8.5 scenarios for the years 2050 and 2070. The quality of the model was assessed using AUC values. The current SDM model shows suitable habitats for A. conyzoides are sizing 1250 km2, mostly located in Bandung (56%), Kota Bandung (24%), and Sumedang (16%). The AUC value was 0.964, showing that the resulting model is good. Climate change will affect A. conyzoides in the future. Based on the RCP model, suitable habitats for A. conyzoides will be shifted northward, eliminating the suitable habitats in the south of Bandung, as can be seen in 2070.
Batik Liquid Waste Management in the Batik Center Area of Tasikmalaya Meylani, Vita; Mutiara, Frista; Hernawati, Diana
MAXIMUS: Journal of Biological and Life Sciences Vol. 1 No. 2 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/maximus.v1i2.1152

Abstract

Batik production in Indonesia is increasing from year to year. However, regarding environmental quality, it is feared that it will produce waste that pollutes the surrounding water bodies. This study aims to describe problems and solutions in improving the management of batik liquid waste in the city and district of Tasikmalaya (Cipedes and Sukaraja) using descriptive qualitative methods and the Miles and Huberman model. The results of the research using interview and observation methods show that most batik SMEs in these two areas have been unable to manage waste optimally. The problem arising from batik liquid waste is the contamination of residents' fish ponds, sewers, and bathtubs. Although there are three independent and communal WWTPs (Wastewater Treatment Plants) in Cipedes (MSME Agnessa, Deden, and riverbanks) as well as one independent WWTP in UMKM Sukapura "GJM," their utilization is still constrained by various natural and artificial factors. The role of the surrounding community is still low in understanding the existence and impact of batik waste around them.
Analisis Beban Kognitif Peserta Didik Kelas XI Pasca Pandemi Covid-19 Pada Materi Sistem Indera Tahun Ajaran 2022/2023 Safari, Neng Ayu Mustika; Suharsono, Suharsono; Meylani, Vita
JURNAL BIOEDUKASI Vol 6, No 2: Jurnal Bioedukasi Edisi Oktober 2023
Publisher : UNIVERSITAS KHAIRUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/bioedu.v6i2.6536

Abstract

Setiap peserta didik mempunyai kapasitas memori kerja yang berbeda. Banyaknya kegiatan dan kompleksitas materi menyebabkan berlebihnya kapasitas memori kerja peserta didik. Penelitian ini bertujuan untuk mengetahui beban kognitif peserta didik pasca pandemi covid-19 pada materi sistem indera. Penelitian dilakukan secara deskriptif kuantitatif. Teknik pengambilan sampel yaitu purposive sampling. Sampel penelitian sebanyak 35 peserta didik kelas XI MIPA 8 di SMAN 1 Singaparna. Instrumen yang digunakan yaitu soal uraian, angket dan soal pilihan majemuk. Hasil penelitian menyatakan bahwa pada Intrinsic Cognitive Load (menerima dan mengolah informasi) dengan nilai rata-rata 56,8 dengan kategori sedang. Kemudian Extranous Cognitive Load (usaha mental saat pembelajaran berlangsung) diperoleh nilai rata-rata 6,1 termasuk kategori sedang. Kemudian Germane Cognitive Load (pemahaman setelah seluruh materi sistem indera tersampaikan) diperoleh nilai rata-rata 54,7 termasuk kategori sedang. Sehingga dapat disimpulkan bahwa pembelajaran pasca pandemi covid-19 membuat peserta didik cukup terbebani, hal tersebut disebabkan perhatian peserta didik yang terbagi, ingatan peserta didik yang menurun, bahasa ilmiah sulit dicerna, penjelasan guru yang kurang jelas dan bahasa yang digunakan cenderung cepat, media ditampilkan kurang jelas dan hanya menggunakan gambar 2D saja. Kemudian peserta didik masih beradaptasi baik dari peserta didik lain, guru, dan materi pembelajaran.
Artificial Neural Networks (ANN) to Model Microplastic Contents in Commercial Fish Species at Jakarta Bay Andriwibowo, Andriwibowo; Basukriadi, Adi; Nurdin, Erwin; Meylani, Vita; Hasanah, Nenti Rofiah; Shiddiq, Zulfi Sam; Mulyanah, Sitiawati
3BIO: Journal of Biological Science, Technology and Management Vol. 6 No. 1 (2024)
Publisher : School of Life Sciences and Technology, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/3bio.2024.6.1.3

Abstract

Jakarta Bay is known as one of the marine ecosystems that have been contaminated by microplastics. Despite massive loads of microplasticcontamination, Jakarta Bay is also habitat to potential commercial fish species, including anchovy Stolephorus commersonnii and mackerel Rastrelliger kanagurta. While information on the microplastic contents and their determining factors is still limited, the goal of this study was touse artificial neural networks (ANN) as a novel and useful tool to model the determinants of microplastic content in fish in Jakarta Bay, using fish weight and length as proxies. Inside the stomachs of S. commersonnii and R. kanagurta, the order of microplastics from the highest to thelowest was fiber > film > fragment > pellet. Based on the RMSE values of 3.199 for S. commersonnii and 2.738 for R. kanagurta, the ANNmodel of fish’s weight + length ~ pellet was found to be the best fitted model to explain the correlation of fish weight and length with microplastic content in the stomach. The results indicate that ANN is suitable for solving large, complex problems in determining and projecting microplastic contents and provides better estimates that can be used to manage R. kanagurta and S. commersonnii along with microplastic contamination threats.
Analisis E. Coli Pada Air Minum Dalam Kemasan Yang Beredar Di Kota Tasikmalaya Meylani, Vita; Putra, Rinaldi Rizal
Bioeksperimen: Jurnal Penelitian Biologi Vol 5, No 2: September 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bioeksperimen.v5i2.9241

Abstract

Drinking water is the main need of humans as living things. Over time, humans are more practical so that for drinking needs they prefer to use bottled drinking water or refill drinking water. The high demand for bottled water raises the number of drinking water companies that issue bottled drinking water products. However, the quality of bottled water still needs to be assessed because it is not through pasteurization or other processing. So the microbiological content remains to be investigated. This study aimed to determine the bacteriological content in bottled drinking water. This study uses the Most Probable Number (MPN) method to test its bacterial content and gamma ray radiation to test its radiosensitivity. The sample in this study was bottled drinking water of various brands circulating in the City of Tasikmalaya. Based on the research results obtained from 13 samples there is 1 sample containing E. coli which is code B1 with a total bacterial content of 7 cells per 100 ml. So it can be concluded L samples are known to contain E. coli as much as 1.9 x 105 cells per ml.
The Correlation between Self Efficacy with Problem Solving Ability of Student in Studying Ecosystem Rasyidina, Sumayya Ainur; Suharsono, Suharsono; Meylani, Vita
Bioeduca : Journal of Biology Education Vol. 5 No. 1 (2023): Bioeduca : Journal of Biology Education
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/bioeduca.v5i1.14524

Abstract

Students need the ability to explore, think critically and analyze a problem for a logical and appropriate solution. Problem solving abilities accompanied with a belief in their abilities (self efficacy) will maximize student abilities in and get maximum grades. This research aims to analyze the correlation between self efficacy and students' problem-solving abilities in ecosystem material. The method used is a quantitative method with a correlational approach (relationship study). The data collection technique was in the form of a problem-solving ability test in the form of an essay about ecosystem and a self efficacy questionnaire. The data analysis technique uses the Product Moment correlation test. Based on the results of data analysis and hypothesis testing, a correlation coefficient value of 0.675 was obtained, which means that the correlation coefficient level is strong. It can be concluded that there is a correlation between self efficacy and problem-solving abilities of students in ecosystem material with a strong correlation coefficient.
The Effect of Discovery Learning with Youtube Media on Student Learning Outucomes on the Materials Environmental Change Hayati, Lisna; Suprapto, Purwati Kuswarini; Meylani, Vita
Bioedukasi: Jurnal Pendidikan Biologi Vol 17, No 2 (2024): Bioedukasi: Jurnal Pendidikan Biologi
Publisher : Department of Biology Education Faculty of Teacher Training and Education Sebelas Maret Un

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/bioedukasi.v17i2.76903

Abstract

YouTube media can be utilized and implemented in learning at school by using technological capabilities in accordance with the times. Learning that uses the discovery learning model is more meaningful if collaborated with YouTube media. This study aims to determine the effect of the discovery learning model using YouTube media on students' cognitive learning outcomes on environmental change material in class X MIPA SMA Negeri 1 Rancah Ciamis in the 2022/2023 academic year. The research method used was a quasi-experiment with a nonequivalent pretest-posttest control design. The population in this study were all students of class X MIPA SMA Negeri 1 Rancah consisting of four classes with a total of 152 students. The samples used were X MIPA 2 class as an experimental class totaling 37 students and X MIPA 1 class as a control class totaling 38 students. The sampling technique was carried out by purposive sampling. Data collection techniques in the form of learning achievement tests totaling 30 questions. The instrument used is a learning outcome test on environmental change material. The data analysis technique used an independent t-test whose results obtained a significant value of 0.000 <0.05, so that there was an effect of the discovery learning model with YouTube media on student learning outcomes on environmental change material in class X MIPA SMA Negeri 1 Rancah in the 2022/2020 academic year. It is hoped that in further learning can use YouTube media to improve better student learning outcomes.
Co-Authors Adhitya Amarulloh Adhitya Amarulloh ADI BASUKRIADI Albaki, Alaik Z H Amarulloh, Adhitya Andri Wibowo Andriwibowo, Andriwibowo Ardiansyah, Ryan Baiq , Baiq Bella Widya Utami Busaeri, Nundang Chaidir, Diki M. Cindhy Marisa Deskhi Dedi Natawijaya Dewa Nyoman Wija Astawa, Dewa Nyoman Wija Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diki Muhamad Chaidir Diki Muhamad Chaidir Dita Agustian Edi Hernawan Edi Hernawan Edi Hernawan Edi Hernawan Edi Hernawan, Edi Elsa Nurfauziah Elsa Nurfauziah Endang Surahman Endang Surahman Endang Surahman Enok Daniar Astriyana Erwin Nurdin Frista Mutiara Hamzah Abdul Fatah Harsojo Harsojo Hasanah, Nenti Rofiah Hayati, Lisna Hernawan, Edi Hernawati, Diana I Ketut Surata I Made Sudiana Iis Siti Rahmawati Ilmi Octaviani Geopany Jihan Azhaar Ramadhanty Lia Tania Barka Lucky Radi Rinandiyana Merlinda Permatasari Mufti Ali Mulyanah, Sitiawati Muslim, Farhan Fuadi Mutiara, Frista Nana Suryana Nasution Neng Ayu Mustika Safari Ni Nyoman Lisna Handayani Ningrum, Hanis Rachna Nurhidayah Nurhidayah Nurul Hiron, Nurul Ocky Karna Radjasa Purnama, Ahmad S Purwati K Suprapto Purwati K. Suprapto Purwati Kuswarini Purwati Kuswarini Suprapto Purwati Kuswarini Suprapto Purwati Kuswarini Suprapto Purwati Kuswarini Suprapto, Purwati Kuswarini Putra, Rinaldi Rizal Putri Sabilla Aulia Najiah Rasyidina, Sumayya Ainur Reza Fauzi Dwisandi Rinaldi Rizal Putra, Rinaldi Rizal RistiHilda Fadlika Ryan Ardiansyah Safari, Neng Ayu Mustika Selawati Hidayat Shiddiq, Zulfi Sam Suharsono Suharsono Suharsono Suharsono Suharsono Suharsono Widia Narasanti Agustin Witri Noor Ayu Andini Yulianto, Fajri Yustika Ayu Sekartaji