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Penerapan Model Pembelajaran Discovery Learning Terhadap Hasil Belajar Fisika Siswa Kelas X SMA Negeri Purwodadi Tariyanti, Vika Andre; Gumay, Ovilia Putri Utami; Arini, Wahyu
ANTHOR: Education and Learning Journal Vol 2 No 4 (2023): Anthor 2023
Publisher : Institut Teknologi Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/anthor.v2i4.194

Abstract

Penelitian ini bertujuan untuk mengetahui Penerapan Model Pembelajaran Discovery Learning Terhadap Hasil Belajar Fisika Siswa Kelas X SMA Negeri Purwodadi. Penelitian ini menggunakan Model pembelajaran discovery learning yang terdiri atas 6 tahapan yaitu: Stimulation (pemberi rangsangan), Problem Statement (identifikasi masalah), Data Collection pengumpulan data), Data Processing (pengolahan data), Verification (pembuktian), dan Generalization (menarik kesimpulan). Pada penelitian ini menggunakan desain one group pretest-posttest design. Sebagai populasinya adalah seluruh siswa kelas X SMA Negeri Purwodadi tahun pelajaran 2022/2023, dengan teknik simple random sampling sampel penelitian ini adalah kelas X.IPA.2. Teknik pengumpulan data dilakukan dengan teknik tes. Berdasarkan hasil analisis uji-t pada taraf signifikan  = 0,05, diperoleh  8,54 >  = 1,69 dengan skor rata-rata pretest 37,25 dan skor rata-rata posttest 79,91. Sehingga dapat disimpulkan ada Hasil belajar fisika siswa kelas X SMA Negeri Purwodadi setelah diterapkan model Pembelajaran discovery learning secara signifikan tuntas
Artificial Intelligence assisted Renewable Energy Case Based Learning Integrated with Science Process Skills and Digital Literacy Yolanda, Yaspin; Arini, Wahyu; Fauziah, Anna; Effendi, Effendi; Pribadi, Imam Arif
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 2 (2025): July
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i2.3050

Abstract

The lack of understanding and interest among students in learning science and the scarcity of energy are very interesting topics to study using case-based learning. The novelty lies in the use of Case Based Learning and Artificial Intelligence related to renewable energy. The objectives of the study are (1) to identify the Hypothetical Learning Trajectory (HLT) of renewable energy based on learning barriers, and (2) to measure scientific process skills and digital literacy. The sample consisted of 120 high school students in Lubuklinggau. The research design was a Lesson Study approach. Implementation occurred over two cycles in collaboration with teachers to design renewable energy learning materials, including lesson plans (RPP), Student Worksheets (LKPD) 1 and 2. AI tools used included Padlet, Kahoot, and Cap Cut. Data collection involved documentation, observation, and interviews. Data analysis was conducted using quantitative descriptive methods. Learning difficulties were identified in students' inability to conduct investigations, analyze data, and communicate graphs effectively. LKPD 1 and 2 were found to be highly valid with a validity test score of 0.92, making them suitable for use. Additionally, there was an increase in students' average science process skills by 0.87, categorized as high, and digital literacy by 0.88, categorized as highly skilled. Its contribution lies in integrating digital LKPD that is easy to access and engaging due to AI integration. Furthermore, the LKDP developed involves students conducting experiments and field observations to measure the efficiency of biomass stoves fueled by rice husks, wood chips, and LPG stoves. Another interesting finding is that students with low abilities experienced a very high increase in digital literacy. The next step is to develop diagnostic test instruments for science literacy, digital literacy, and learning modalities.