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All Journal Berkala Ilmiah Pendidikan Biologi (BioEdu) REVELATIA: Jurnal Ilmu al-Qur`an dan Tafsir
Azizah, Maskurotin
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Languange, Linguistic, Communication & Media

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Validitas dan Efektivitas LKS PBL Pada Materi Ekosistem Untuk Melatih Keterampilan Berpikir Kritis Azizah, Maskurotin; Purnomo, Tarzan
Berkala Ilmiah Pendidikan Biologi (BioEdu) Vol 9 No 1 (2020)
Publisher : Program Studi Pendidikan Biologi, FMIPA, Universitas Negeri Surabaya

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Abstract

Penelitian ini bertujuan untuk menghasilkan Lembar Kerja Siswa (LKS) berbasis Problem Based Learning (PBL) untuk melatihkan keterampilan berpikir kritis pada materi ekosistem yang valid dan efektif. LKS dikatakan valid jika sesuai dengan materi yang diajarkan, sedangkan efektifitas LKS berdasarkan pada hasil belajar siswa yang dilihat dari penilaian. Penelitian ini menggunakan model pengembangan 4-D, yaitu define, design, develop, dan disseminate, namun tahap disseminate tidak dilakukan. LKS yang dikembangkan divalidasi oleh para ahli dan diujicobakan kepada siswa kelas X MIPA 1 di SMAN 16 Kota Surabaya. Instrumen penelitian menggunakan metode deskriptif kuantitatif. Hasil penelitian menunjukkan skor validitas, efektifitas, dan hasil belajar siswa memperoleh kategori sangat baik dengan persentase berturut-turut sebesar 93%, 100% dan 88%. Berdasarkan hasil penelitian dapat disimpulkan bahwa model pembelajaran PBL menuntut siswa lebih percaya kepada hasil fakta-fakta pembelajaran yang konkret sehingga dapat meningkatkan keterampilan berpikir kritis.
Analisis Level Pemahaman Al-Qur’an Menggunakan Kecerdasan Buatan Berdasarkan Teori Taksonomi Bloom: : Sebuah Solusi atas Tantangan Objektivitas Penilaian dalam Pendidikan Islam Azizah, Maskurotin; Sa’diyah, Halimatus; Kafabillah, Atiqah; Faizah, Fina; Mu’minah, Retno Mayzima
REVELATIA Jurnal Ilmu al-Qur`an dan Tafsir Vol. 6 No. 2 (2025)
Publisher : Universitas Islam Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/revelatia.v6i2.18870

Abstract

This study explores the role of artificial intelligence (AI) with Natural Language Processing (NLP) language management in collaboration with Machine Learning (ML) and Deep Learning (DL) which produces modern language modeling techniques such as Word Embeddings, N-Gram, Recurrent Neural Networks (RNN), Transformer Models, Generative Pre-trainde Transformer (GPT) and its variants, such as Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM) in carrying out Quranic understanding activities. The success of AI with its NLP has been proven to be able to understand the Quran well. However, there are several challenges and limitations that cannot be done while still requiring the role of humans because they are dealing with the text of the Qur'an in classical Arabic with its morphology, syntax and semantic complexity. As well as concerns that algorithms may not be able to understand the cultural, historical, and theological nuances that often affect the interpretation of the verse. Therefore, it is appropriate to conduct research to measure the level of understanding of the Quran carried out by AI using the Bloom taxonomy instrument. Using a qualitative approach and literature study related to AI features with its NLP, Bloom's taxonomy combines the two. The results of this study show that AI capabilities when measured with Bloom's taxonomy are fully achieved at level 1, namely Remembering, while at the level of Understanding, Applying, Analyzing, the ability is limited. And not able to do it at the level of Evaluating and Creating.
Co-Authors Faizah, Fina Kafabillah, Atiqah Mu’minah, Retno Mayzima Sa’diyah, Halimatus TARZAN PURNOMO