Claim Missing Document
Check
Articles

Found 2 Documents
Search

Profil Literasi Sains dan Karakter Budaya Siswa diajarkan menggunakan E-Nodul IPA berbasis Etnoscience berorientasi Green Chemistry Nurul Fauziah; Muhammad Shohibul Ihsan
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.9259

Abstract

Science learning in secondary schools has not been fully linked to local culture and the environment, and has not supported students' scientific literacy and cultural character. This is because teachers have difficulty learning the relationship between local culture and finding the right green chemistry principles with science learning. To strengthen the concept of science learned, ethnoscience learning can be oriented with the principles of green chemistry contained in learning media in the form of e-modules. This study aims to determine the profile of scientific literacy and cultural character of students who have been taught with the developed e-modules. The results of the study showed that students' scientific literacy competencies in interpreting scientific data and evidence, designing and evaluating scientific investigations, and explaining scientific phenomena were respectively 57.67, 87.12 and 66.67. This shows that students' literacy abilities are in the moderate category. The highest literacy level achievement is at level 1, at 76.67%, and the lowest at level 6 at 5.0%. While the highest cultural character value is in the curiosity indicator at 85% and the lowest is friendly/communicative with an achievement of 75%.
Developing an IoT-Based Smart Soil Analyzer to Support Sustainable Agriculture and Contextual STEM Learning in Organic Chemistry Yulia Dewi Puspitasari; Matsun Matsun; Hendrik Pratama; Wahyu Saputra; Tri Wahyuni Maduretno; Muhammad Shohibul Ihsan; Zaqueu António Freitas
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.550

Abstract

Organic chemistry is often taught in abstract concepts, especially on topics related to soil organic matter, nutrient transformation, and the nitrogen cycle. This study aims to develop and validate an IoT-supported Smart Soil Analysis to support contextual STEM-based learning in organic chemistry. This research uses a Research and Development approach with a 4D model, limited to the defining, designing, and developing stages. The prototype was revised based on feedback from six subject matter experts, six media experts, and six evaluation experts prior to limited testing. Validity was measured using the Content Validity Index (CVI), resulting in average CVI scores of 0.88 (content), 0.91 (media), and 0.90 (evaluation), indicating high validity. A limited trial involving nine science education students showed an overall practicality score of 3.6 out of 4.0. This device integrates real-time measurements of soil pH, nitrogen (N), phosphorus (P), potassium (K), and electrical conductivity, allowing students to analyze organic matter decomposition, nutrient availability, and fertilization recommendations within a project-based STEM framework. The research results show that the Smart Soil Analyzer is a valid and practical learning medium that effectively connects organic chemistry concepts with real-world agricultural contexts.