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All Journal JURNAL EDUCAZIONE : Jurnal Pendidikan, Pembelajaran dan Bimbingan dan konseling FAJAR Jurnal Pendidikan Islam International Journal of Review in Mathematics Education
Hudi, Saman
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Religion Humanities Education

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BIMBINGAN BELAJAR DENGAN MODEL GI (GROUP INVESTIGATION) DALAM MENINGKATKAN HASIL BELAJAR SISWA MADRASAH TSANAWIYAH GEBANG PATRANG JEMBER Hanifiyah, Fitriyatul; Hudi, Saman
FAJAR Jurnal Pendidikan Islam Vol. 3 No. 2 (2023): FAJAR Jurnal Pendidikan Islam (September)
Publisher : Program Studi Pendidikan Agama Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/fj.v3i2.2476

Abstract

Bimbingan belajar merupakan salah satu teknis pembelajaran yang dapat diterapkan dalam pendidikan. Bimbingan belajar juga termasuk kategori pemberian bantuan oleh seseorang yang telah professional dalam kompetensi pedagogic, social dan kepribadian kepada seseorang yang sedang menempuh proses pembelajaran dengan tujuan untuk memperoleh pengetahuan, pengalaman dan keterampilan. Dalam pembelajaran tidak jarang ditemukan problem yang dapat menghambat hasil belajar peserta didik tidak tercapai dengan optimal. Problem tersebut berupa kesulitan dalam mengkondisikan kelas dikarenakan banyaknya peserta didik dalam satu kelas di waktu pelajaran yang sama sehingga menimbulkan terhalangnya efektifitas pembelajaran yang berdampak pada keberhasilan belajar peserta didik yang tidak tercapai sesuia harapan. Oleh karena itu, diperlukan bantuan belajar yang harus diberikan kepada peserta didik yang dalam hal ini berupa bimbingan belajar dengan model Group Investigation. Dengan begitu peneliti melakukan penelitian dengan tujuan untuk mendeskripsikan bimbingan belajar dengan model GI (Group Investigation) dalam meningkatkan hasil belajar siswa di Madrasah Tsanawiyah Gebang kecamatan Patrang kabupaten Jember. Pendekatan penelitian yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan jenis penelitian lapang (Field Research). Teknik pengumpulan datanya dengan observasi, wawancara dan dokumentasi sedangkan analisa data menggunakan reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian ini menunjukkan nilai hasil belajar siswa MTs Gebang Patrang mampu memenuhi nilai ketuntasan mengajar (KKM). Dengan begitu bimbingan belajar dengan model Group Investigation menunjukkan adanya peningkatan terhadap hasil belajar siswa.    
FITRAH MANUSIA SEBAGAI MODAL KESALEHAN INDIVIDUAL Hudi, Saman
Jurnal Educazione : Jurnal Pendidikan, Pembelajaran dan Bimbingan dan konseling Vol. 7 No. 2 (2019): November
Publisher : FKIP Universitas Islam Jember

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Abstract

Discourses on human nature based on Qur'anic verses and hadith have resulted in many differences of opinion in two major areas. First, regarding the interpretation of the hadith, which positions nature in opposition to non-Islamic religions, particularly Judaism, Christianity, and Zoroastrianism, rather than Islam. In this case, a child's conversion is determined by his or her parents. Second, the interpretation of the text of the Koran Surah Al A'raf verse 172 about taking testimony regarding the existence of God in the pre-existential human soul (while saying: "Am I not your God?" They responded, "Yes (You are our God), we are witnesses." Where humans lack rational awareness, prospective humans have acknowledged and believed that Allah is their god through their innate awareness. This innate awareness will become the capital of individual piety toward social piety. Keyword: Human Nature, individual piety
Evolution of Deep Learning and Its Reflection on Statistical Mathematics Learning Saputra, Muhammad Akhyar Aji; Crismono, Prima; Hudi, Saman
International Journal of Review in Mathematics Education Volume 1 No. 1: March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijrime.14812

Abstract

This study aims to evaluate the development, topic interconnections, and global research directions in the field of Deep Learning during the period 2019–2024, while also examining its implications for teaching statistical mathematics in the digital era. A bibliometric approach was used to analyze publication trends, citation patterns, and keyword relationships with the assistance of VOSviewer software. Data were obtained from the Scopus database using the main keywords “Deep Learning,” “Neural Networks,” and “Artificial Intelligence.” The results indicate that peak research activity occurred in 2022 with a significant surge in citations, followed by a decline in 2023–2024, marking a phase of research stabilization. Network analysis revealed that topics such as computer vision, medical imaging, and unsupervised learning dominate, while emerging trends like federated learning and edge computing are beginning to develop toward privacy and computational efficiency. Geographically, the United States and China are the main contributors to scientific publications, followed by Germany, the United Kingdom, and Australia. These findings highlight that the core success of Deep Learning is fundamentally grounded in statistical mathematics, particularly in optimization and probabilistic modeling. Accordingly, the implications for teaching statistical mathematics involve reorienting curricula toward applied, data-driven contexts emphasizing probabilistic thinking, algorithmic reasoning, and the integration of computational tools. Such an approach encourages students to bridge theoretical understanding with real-world problem solving in artificial intelligence and data science.
Co-Authors Crismono, Prima Cristi Hanifiyah, Fitriyatul Marfuah Marfuah Qurtubi, Moh. Saputra, Muhammad Akhyar Aji