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All Journal Jurnal Pembelajaran dan Biologi Nukleus Jurnal Pemberdayaan Umat
Nurmayanti, Novi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Public Health Social Sciences

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Pelatihan Pembuatan Modul Ajar Berbasis Artificial Intelligence (AI) untuk Guru-Guru SMPN 3 Sungai Kakap Manisa, Tesa; Trisianawati, Eka; Sari, Mustika; Nawawi, Nawawi; Herditiya, Herditiya; Nurmayanti, Novi
Jurnal Pemberdayaan Umat Vol. 3 No. 2 (2024): Agustus
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jpu.v3i2.3633

Abstract

Purpose: The purpose of this Community Service is to increase knowledge about making AI-based teaching modules and to produce complete teaching modules that are in accordance with the demands of the Merdeka curriculum. Research methodology: Community Service activities consist of preparation, implementation, and evaluation stages. The implementation of Community Service is carried out using lecture methods, interactive discussions, direct practice, assignments, and collection of teaching modules to increase teacher abilities and creativity. Data were collected using a Likert scale questionnaire with the criteria of activities running very well to not well. Results: The implementation of Community Service is carried out using lecture methods, interactive discussions, direct practice, assignments, and collection of teaching modules to increase teacher skills and creativity. The products produced by teachers are complete and intact teaching modules that can be collected on the Google Drive link. This link can be accessed by the principal, teachers, and study programs as facilitators in mentoring sessions during assignments. Proof that teachers have completed the training is in the form of a 32 JP certificate that can be uploaded to the PMM account to add teaching points. Limitation: This training may be limited by the infrastructure and technology access conditions at SMPN 3 Sungai Kakap. For example, limited hardware such as computers, unstable internet, or limited access to more sophisticated AI devices can limit the effectiveness of the training. Contribution: The Community Service Team would like to thank LPPM IKIP PGRI Pontianak as the funder, as well as the principal, teachers, and staff of SMPN 3 Sungai Kakap for their assistance.
Identification of Plants Diversity Composing Peatland Vegetation After Forest Fires in Mount Bongkok Reserved Forest Dafrita, Ivan Eldes; Manisa, Tesa; Nurmayanti, Novi
JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS Vol 10, No 2: Jurnal Pembelajaran Dan Biologi Nukleus July 2024
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpbn.v10i2.5751

Abstract

This research aims to identify the diversity of plants that make up peatland vegetation in the Mount Bongkok Reserved Forest after forest fires. This research is a quantitative qualitative descriptive research. The method used is the plot method. Area of observations were determined using purposive sampling with the assumption that the existing vegetation could represent the entire community. The sampling size/intensity (IS) used was 5% of the total area of 100 Ha, so the total sampling area was 5 hectares. The sampling location was divided into 50 observation plots with a size of 25x40m each plot. The results showed that Ubah (Syzygium sp.) and Pulai (Alstonia pneumatophore) plants were found at all sampling points. Geronggang plants (Cratoxylon arborescens) and Jelutung plants (Dyera lowii) were found at more than 50% of sampling points. These four plants are plants that are suitable for habitats in peatlands. This shows that this plant is suitable for growing in the peatland habitat and can be used for peatland conservation
Co-Authors Eka Trisianawati, Eka Herditiya, Herditiya Ivan Eldes Dafrita, Ivan Eldes Manisa, Tesa Mustika Sari, Mustika Nawawi Nawawi