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The Analysis of Phase E Students' Problem-Solving Skills on Global Warming Materials with the Help of the Problem-Based Electronic Module Eldis, Editha Nona; Suban, Maria Enjelina; Riong, Maria Bernadetha Dua
Journal of Innovative Science Education Vol. 13 No. 1 (2024): April 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jise.v13i1.1500

Abstract

Problem-solving is one of the most essential skills in 21st-century learning which prepares students to face the increasingly complex problems of human life. The phenomenon of global warming remains a big problem that the world is facing. For this reason, students are expected to be able to practice their problem-solving skills in analyzing global warming issues through learning physics. This research aims to determine the extent of students' problem-solving skills related to the global warming phenomenon. The research used a descriptive method with a quantitative approach. This one-shot case study involved 22 phase E students of SMAS Katolik St. Gabriel Maumere. The data collection instrument included 8 question items containing four indicators of problem-solving abilities on global warming. Previously, students had to learn about the topic with the help of a problem-based electronic module. The results showed that the highest level of problem-solving skills was the indicator of implementing strategies with 87%, and the lowest percentage was in the evaluation category with 64%. The overall score of problem-solving skills was 72.25% in the high category, meaning that the application of the problem-based e-module provides positive results for students to transfer their knowledge in analyzing problems that occur in real life.
Penguatan Literasi Sains Siswa Melalui Modul Ajar Fisika Berbasis Nilai-Nilai Pancasila pada Materi Impuls dan Momentum Maria Enjelina Suban; Anastasia Martha Kenek Udak; Sonia Seliana Djara Dima
Haumeni Journal of Education Vol 5 No 3 (2025): Edisi Desember 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/haumeni.v5i3.26257

Abstract

Penelitian ini muncul dari kebutuhan untuk memperkuat literasi sains siswa pada materi impuls dan momentum. Tujuan utama penelitian ini adalah mengevaluasi sejauh mana modul ajar fisika yang memadukan nilai-nilai Pancasila dapat meningkatkan kemampuan literasi sains siswa. Penelitian menerapkan pendekatan kuantitatif dengan desain quasi-eksperimen pada dua kelompok belajar, yaitu kelas eksperimen yang menggunakan modul berintegrasi nilai Pancasila dan kelas kontrol yang menggunakan modul konvensional. Pengukuran literasi sains dilakukan melalui tes terstandar yang telah divalidasi, kemudian dianalisis melalui uji prasyarat untuk memastikan kesetaraan kedua kelompok. Hasil menunjukkan bahwa siswa pada kelas eksperimen memperoleh capaian literasi sains yang lebih tinggi pada seluruh indikator dibandingkan kelas kontrol. Pembelajaran dengan modul terintegrasi memberikan pengalaman belajar yang lebih relevan dan membantu siswa memahami konsep impuls dan momentum melalui kegiatan yang melatih pemahaman konsep, kemampuan membaca representasi, analisis data, dan penarikan kesimpulan ilmiah. Berdasarkan temuan tersebut, modul berbasis nilai-nilai Pancasila direkomendasikan sebagai bahan ajar alternatif yang efektif untuk meningkatkan literasi sains dalam pembelajaran fisika.
Analisis Level Kognitif dan Keterampilan Proses Sains pada Soal Simulasi Tes Kompetensi Akademik Fisika SMA 2025 Anastasia Martha Kenek Udak; Maria Enjelina Suban; Sonia Seliana Djara Dima
PendIPA Journal of Science Education Vol 10 No 1 (2026): January - March
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.10.1.231-240

Abstract

This study aims to analyze the cognitive level demands and science process skills represented in the 2025 senior high school Physics Academic Competency Test (TKA) simulation questions based on the national assessment framework. This research employed a descriptive qualitative approach using content analysis on a dataset of 20 Physics TKA simulation questions. The analysis instrument was developed based on the Physics TKA assessment framework, categorizing items into three cognitive levels (understanding, application, and analysis-evaluation) and four indicators of science process skills (observing, questioning and predicting, planning and conducting investigations, and analyzing and communicating data). The results show that the cognitive demands of the simulation questions were dominated by the application level (40%), followed by analysis-evaluation (35%) and understanding (25%). In terms of science process skills, all items involved observing and questioning-predicting skills (100%). However, analyzing and communicating data appeared in 20% of the items, while planning and conducting investigations was not identified in any item. This study is limited to simulation questions and therefore does not represent the characteristics of the operational Physics TKA items. Further research is needed to analyze the official Physics TKA 2025 questions to obtain a more comprehensive understanding of cognitive demands and science process skills, as well as to examine their consistency with the assessment framework of TKA.  
A Contextual Physics Optics Lab Media Based on Deep Learning: Analysis of Clove Fixator Variations on Light Intensity Absorption on Colored Fabrics Maria Enjelina Suban; Anastasia Martha Kenek Udak; Sonia Seliana Djara Dima
PendIPA Journal of Science Education Vol 10 No 1 (2026): January - March
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.10.1.297-304

Abstract

This study aims to produce a contextual laboratory practice in optics by analyzing the variations of fixatives in clove natural dye on the absorption of sunlight by colored fabrics. The background of this research lies in the limited optics experiments in schools, which often cause students to struggle in understanding the relationship between color, wavelength, and light energy, thus leading to misconceptions. The method employed was an experimental design with a posttest-only control, in which cotton fabrics were soaked in clove extract with three types of fixatives, namely alum, lime, and ferrous sulfate. The light absorption data were measured using a lux meter, then analyzed descriptively and statistically using one-way ANOVA. The findings indicated significant differences among the types of fixatives. Fabrics treated with alum fixative produced a bright yellow color with the highest absorption (113.7 Cd), followed by lime (69.5 Cd), while ferrous sulfate produced a deep blue color with the lowest absorption (16.22 Cd). This phenomenon can be explained through the concepts of light absorption, wavelength, and photon energy, in accordance with the Beer–Lambert law. This study demonstrates that clove natural dye with fixative variations can serve as a contextual, simple, and relevant laboratory medium aligned with the deep learning approach.