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Development of Science E-Module Based on Case Method to Im-prove Students’ Problem Solving Skills Aribowo, Litasari Aldila; Kholil, Putri Alifa; Wulandari, Tiara Dwi
Unnes Science Education Journal Vol. 14 No. 1 (2025): April 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/usej.v14i1.25433

Abstract

Life in the 21st century is full of challenges and problems that need to be solved in order to survive in global competition. This condition makes science education in the 21st century must be able to produce graduates who are not only good at knowledge, but also have critical thinking skills, creativity, collaboration, communication, not to mention problem solving. The purpose of this study was to analyze the effectiveness of e-modules based on case methods to improve the problem solving skills of prospective science teachers. This research uses RnD with the ADDIE model. Then e-module based on case methods that has been developed is implemented in basic science learning with a quasi-experimental design Nonequivalent control group design. Data analysis was conducted with the validity, characteristics, and effectiveness of e-modules based on case methods. The results showed that the e-module based on case methods was valid for use with a value of 0.98. The implementation of e-modules showed an increase in pretest and posttest results with an experimental class n-gain score of 0.85 with high criteria, while the control class n-gain score was 0.68 with moderate criteria. The conclusion of this study is that the e-module based on case methods is effectively used to improve the problem solving skills of prospective teacher students in Basic Science courses.
ANALISIS PENGARUH JENIS RAGI DAN PENAMBAHAN NUTRIEN PADA PRODUK BIOETANOL BIJI ALPUKAT Sriyono, Septia Damayanti; Saputri, NirmaYuliana; Rosita, Kholimatu; Aribowo, Litasari Aldila; Aji, Septiko
Proceeding Seminar Nasional IPA 2025
Publisher : LPPM UNNES

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Abstract

Biji alpukat termasuk limbah organik yang kaya karbohidrat dan berpotensi dimanfaatkan sebagai bahan baku alternatif untuk produksi bioetanol melalui fermentasi. Penelitian ini bertujuan menganalisis pengaruh jenis ragi dan penambahan nutrien terhadap produksi bioetanol dari biji alpukat. Ragi yang digunakan meliputi Saccharomyces cerevisiae dan ragi tapai, dengan variasi nutrien berupa amonium sulfat, urea, dan mineral esensial. Penelitian dilakukan melalui eksperimen laboratorium sederhana yang diterapkan di luar laboratorium konvensional untuk menilai potensi praktisnya. Hasil menunjukkan bahwa kombinasi Saccharomyces cerevisiae dengan penambahan nutrien menghasilkan kadar bioetanol tertinggi. Penambahan nutrien terbukti meningkatkan efisiensi fermentasi melalui dukungan terhadap aktivitas metabolik ragi. Filtrat tanpa urea yang difermentasi menggunakan ragi tapai maupun ragi roti menunjukkan kadar etanol 0%. Sementara itu, perlakuan dengan urea dan ragi roti 2% menghasilkan etanol lebih tinggi dibandingkan ragi tapai 1%. Meskipun kadar bioetanol yang dihasilkan belum setinggi bahan baku konvensional seperti jagung atau singkong, biji alpukat tetap menunjukkan potensi sebagai bahan baku terbarukan. Pemanfaatan limbah ini dapat mengurangi pencemaran organik sekaligus membuka peluang pengembangan bioenergi berbasis limbah dalam kerangka ekonomi sirkular. Penelitian ini merekomendasikan pengembangan lebih lanjut melalui optimasi parameter fermentasi dan penerapan teknologi tepat guna untuk meningkatkan hasil produksi bioetanol dari limbah biji alpukat.
The Analysis of Pre-Service Teachers Ability in Integrating Artificial IntelligenceTechnological Pedagogical Content Knowledge to Learning Instruction Dewi*, Novi Ratna; Aribowo, Litasari Aldila; Aji, Septiko; Rahayu, Ayu; Listiaji, Prasetyo
Jurnal IPA & Pembelajaran IPA Vol 9, No 3 (2025): SEPTEMBER 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v9i3.48648

Abstract

The rapid advancement of digital technology, particularly artificial intelligence (AI), has reshaped teacher education by requiring the integration of technological, pedagogical, and content knowledge in instructional design. The AI-TPACK (artificial intelligencetechnological pedagogical content knowledge) framework offers a structured foundation to support such integration in science education. This study aims to analyze the effectiveness of AI-TPACK-based learning in strengthening pre-service science teachers competencies in designing innovative lesson plans. A quantitative approach with a pre-experimental one-group pretestposttest design was implemented with three class group of undergraduate science education students at Universitas Negeri Semarang. The intervention addressed seven dimensions: content knowledge, pedagogical knowledge, AI technological knowledge, pedagogical content knowledge, AI technological content knowledge, AI technological pedagogical knowledge, and integrated AI-TPACK. Data were collected through a validated rubric and analyzed using descriptive statistics, gain scores, and paired comparison tests. The results of the study indicate a significant improvement in integration skills across all dimensions, with the greatest achievement in the integration of AI technological knowledge and pedagogical content knowledge within the students lesson plans. Consistent progress across class groups confirms the effectiveness of the AI-TPACK-based model in enhancing technological proficiency and meaningful pedagogycontent integration. The study concludes that systematic adoption of AI-TPACK in teacher education can improve professional readiness, nurture critical, creative, and collaborative skills, and contribute to Sustainable Development Goal 4 on quality education.