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//ojs-upgrade.ummat.ac.id/index.php/ibtidaiy/issue/feed Ibtida'iy : Jurnal Prodi PGMI 2023-11-13T12:39:15+08:00 Mappanyompa, MM., M.Pd.I ibtidaiy@ummat.ac.id Open Journal Systems <p><strong>IBTIDA’IY: Jurnal Prodi PGMI</strong> adalah salah satu jurnal penelitian yang diterbitkan oleh Program Studi Pendidikan Guru Madrasah Ibtidaiyah (PGMI) Fakultas Agama Islam UM Mataram, dengan <strong><a href="http://u.lipi.go.id/1455690559" target="_blank">p-ISSN: 2502-504X</a></strong> dan <strong><a href="http://u.lipi.go.id/1515642727" target="_blank">e-ISSN 2615-1332</a>.</strong> Terbit pertama kali di bulan Oktober 2016. Tiap tahun terbit dua kali yakni bulan <strong>April</strong> dan <strong>Oktober</strong>. Adapun cakupan publikasi pada <strong>Ibtida’iy: Jurnal Prodi PGMI</strong> adalah hasil penelitian di bidang pendidikan dasar berbasis agama islam baik teori, praktik atau kajian kepustakaan atau literasi tentang pendidikan islam.</p><p><img src="data:image/png;base64,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" alt="" /></p> //ojs-upgrade.ummat.ac.id/index.php/ibtidaiy/article/view/19235 IMPLIKASI PEMIKIRAN PENDIDIKAN HUMANISTIK TERHADAP PRAKTIK PEMBELAJARAN DI ERA DIGITAL 2023-11-13T12:14:21+08:00 Khairuddin Said heru.said62@gmail.com <em>The purpose of writing this scientific article is to find out the implications of humanistic educational thinking on learning practices in the digital era. Although basically Humanistic is an approach in psychology that emphasizes the importance of understanding and respecting individuals as unique and complex creatures. But in the world of education, this approach also places great emphasis on personal development, individual growth, and a deep understanding of students as unique individuals who are developed through learning. In the digital era where learning is more in contact with tools and media indirectly, then what are the implications of humanistic educational thinking on current learning practices, especially the effects on students.</em> 2023-10-25T00:00:00+08:00 Copyright (c) 2023 Khairuddin Said //ojs-upgrade.ummat.ac.id/index.php/ibtidaiy/article/view/19654 ASPEK PSIKOLOGIS DAN METODOLOGIS DALAM PEMBELAJARAN BAHASA ARAB DI MI AL-AMIN PEJERUK KOTA MATARAM 2023-11-13T12:14:21+08:00 Syahrul Izomi fitriani220400@gmail.com <em>"Students are individuals with all the attributes inherent to them. Therefore, monitoring and evaluation of educational institutions, especially for tracking students, are necessary. Therefore, this research aims to explain the problems and solutions in the psychological and methodological aspects of Arabic language learning at MI Al-Amin Pejeruk Mataram. The research overview is to identify, describe, and analyze various methodologies for teaching Arabic language in relation to students' psychological aspects. This research uses a qualitative approach. The reason for the choice of this research method and technique is because the primary activity of this research is to describe learning activities that require a description. Data collection techniques include interviews, observations, and documentation. The research results show several facts supported by the majority of learning that is adapted to the material and follows the curriculum applied in the classroom. Educators ask students to continuously use 'mufrodat'.</em> 2023-10-25T00:00:00+08:00 Copyright (c) 2023 Syahrul Izomi //ojs-upgrade.ummat.ac.id/index.php/ibtidaiy/article/view/14071 PERANCANGAN APLIKASI YA ARABI BERBASIS ANDROID UNTUK PEMULA 2023-11-13T12:14:21+08:00 Devi Suci Windariyah devisuciwindariyah@gmail.com <p>Abstrak: Bahasa Arab merupakan bahasa yang kaya akan kosa kata dan kaya akan aturan tata bahasa. Untuk dapat menguasai materi pelajaran bahasa Arab bagi pemula, dibutuhkan suatu latihan untuk terus mengasah kemampuan bahasa Arab pembelajar. Salah satu solusi untuk mempermudah seorang pembelajar pemula bahasa Arab untuk melatih kemampuan bahasa Arab yaitu dengan membuat rancangan aplikasi bahasa berbasis android. Tujuan dari penelitian adalah untuk membuat rancangan aplikasi latihan soal-soal bahasa Arab bagi siswa-siswi Madrasah Ibtidaiyyah kelas 6 dengan nama Ya Arabi yang dapat diakses melalui android. Dengan perancangan aplikasi Ya Arabi berbasis android ini, diharapkan dapat mengukur kemampuan bahasa Arab para siswa dan siswi Madrasah Ibtidaiyyah kelas 6 setelah memperoleh pelajaran bahasa Arab sejak kelas satu sampai kelas 6.</p> 2023-11-01T00:00:00+08:00 Copyright (c) 2023 Devi Suci Windariyah //ojs-upgrade.ummat.ac.id/index.php/ibtidaiy/article/view/14793 MODEL PEMBELAJARAN SNOWBALL THROWING UNTUK MENINGKATKAN KEMAMPUAN MENGEMUKAKAN PENDAPAT SISWA 2023-11-13T12:14:21+08:00 Rina Oktora rinaoktora@gmail.com Heldanita Heldanita heldanita@uin-suska.ac.id Welli Marlisa welli.marlisa@uin-suska.ac.id Subhan Subhan subhan@uin-suska.ac.id Mimi Hariyani mimi.hariyani@uin-suska.ac.id Herlina Herlina herlina@uin-suska.ac.id Sri Murhayati sri.murhayati@uin-suska.ac.id <span lang="EN-AU">Penelitian ini bertujuan untuk meningkatkan kemampuan mengemukakan pendapat siswa pada mata pelajaran ilmu pengetahuan alam melalui model pemebelajaran snowball throwing . Penelitian ini dilatar belakangi oleh rendahnya hasil belajar siswa pada mata pelajaran ilmu pengetahuan alam . Rumusan masalah pada penelitian ini adalah apakah penerapan model pembelajaran snowball throwing dapat meningkatkan kemampuan mengemukakan pendapat pada mata pelajaran ilmu pengetahuan alam di kelas V Sekolah Dasar Negeri 003 Sendayan. Penelitian ini merupakan penelitian tindakan kelas. Penelitian ini terdiri dari 2 siklus. Setiap siklus terdiri dari 2 kali pertemuan dengan empat tahapan yaitu perencanaan tindakan, pelaksanaan tindakan, observasi, dan refleksi. Subjek penelitian ini adalah guru dan siswa kelas V Sekolah Dasar Negeri 003 Sendayan dengan jumlah siswa sebanyak 20 orang siswa. Objek dalam penelitian ini adalah meningkatkan kemampuan mengemukakan pendapat siswa pada mata pelajaran ilmu pengetahuan alam . Data dalam penelitian ini dikumpulkan menggunakan teknik observasi dan dokumentasi. Hasil penelitian menunjukkan hasil mengemukakan pendapat siswa pada mata pelajaran Ilmu Pengetahuan Alam sebelum tindakan diperoleh rata-rata 60% dengan kategori Kurang Baik. Lalu pada siklus I nilai rata-ratanya meningkat menjadi 69% dala kategori Cukup Baik. Dan pada siklus II meningkat kembali menjadi 84% dan sudah termasuk dalam kategori Sangat Baik. </span> 2023-10-25T00:00:00+08:00 Copyright (c) 2023 Heldanita Heldanita //ojs-upgrade.ummat.ac.id/index.php/ibtidaiy/article/view/20040 INQUIRY UNTUK MENINGKATKAN KREATIVITAS SISWA PADA MUATAN PELAJARAN IPS KELAS IV MADRASAH IBTIDAIYAH NW DASAN AGUNG 2023-11-13T12:39:15+08:00 Taufik Amalia mel_opick@yahoo.co.id <em>This study aims to increase student creativity through the Inquiry Learning Model in social studies class IV content at MI NW Dasan Agung. The type of research used was classroom action research (CAR), which was conducted in 2 cycles, each cycle consisting of 2 meetings and going through several stages such as: planning stage, acting stage, observation stage and reflection (reflecting). while data collection techniques use Observation Sheets, Questionnaires, and Documentation. The results of this study indicate that the use of the Inquiry Learning Model can increase student creativity. This can be seen from the results of the questionnaire data obtained by students, the creativity of students using the Inquiry Learning Model has increased from cycle I to cycle II, in cycle I the percentage obtained reached 47.26%, while after making improvements in cycle II, then the percentage obtained was 89.9% in the very good category. So that it is clear that the application of the Inquiry Learning Model in social studies content can increase the creativity of class IV MI NW Dasan Agung Mataram City.</em> 2023-10-30T00:00:00+08:00 Copyright (c) 2023 Taufik Amalia
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