STRATEGI GURU AL-QUR’AN HADITS DALAM MENINGKATKAN SEMANGAT HAFALAN JUZ ‘AMMA SISWA KELAS VIII DI MTsN 1 TULUNGAGUNG

ABSTRAK Skripsi dengan judul “ Strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung ” ini ditulis oleh Erik Setiowati, NIM 12201173133. Jurusan Pendidikan Agama Islam (PAI), Fakultas Tarbiyah dan Ilmu Keguruan (FTIK), Institut Agama Islam Negeri (IAIN) Tulungagung, yang dibimbing oleh Prof. Dr. Sokip, S.Ag., M.Pd.I Kata kunci : Strategi guru, semangat, hafalan juz ‘amma Semangat merupakan salah satu aspek yang sangat penting dalam proses menghafal al-Qur’an ( juz ‘amma), karena menghafal al-Qur’an (juz ‘amma) bukanlah suatu hal yang mudah yang bisa dilakukan oleh semua orang. Semangat yang dirasakan oleh setiap peserta didik tentu berbeda dalam menghafal juz ‘amma, ada yang selalu istiqomah semangat ada juga yang naik turun semangatnya. Hal tersebut disebabkan timbulnya rasa malas,lelah dan jenuh dalam diri peserta didik di sela-sela menghafal al-Qur’an ( juz ‘amma ). Itulah yang menjadi tugas seorang guru bagaimana dalam menyiapkan strateginya dalam rangka meningkatkan semangat siswa dalam menghafal juz ‘amma. Proses menghafal akan berjalan lebih maksimal, dengan adanya semangat dalam diri peserta didik. Fokus penelitian dalam skripsi ini adalah (1) Bagaimana perencanaan strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung ?, (2) Bagaimana pelaksanaan strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung ?, (3) Bagaimana evaluasi strategi guru al Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung ?, Adapun yang menjadi tujuan penelitian ini adalah (1) Untuk mengetahui perencanaan strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung, (2) Untuk mengetahui pelaksanaan strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung, (3) Untuk mengetahui evaluasi strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung. Metode penelitian yang digunakan adalah penelitian kualitatif-studi kasus. Dalam pengumpulan data, peneliti menggunakan teknik wawancara, observasi, dan dokumentasi. Sedangkan untuk analisisnya peneliti menggunakan tiga tahapan berupa reduksi data, paparan data, penarikan kesimpulan atau verifikasi. Pengecekan keabsahan data temuan melalui ketekunan pengamatan, triangggulasi, pemeriksaan sejawat. Hasil penelitian ini menunjukkan bahwa: (1) Perencanaan strategi guru al Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung terdapat beberapa rencana diantaranya yaitu : (a) guru mengadakan rapat untuk menyusun strategi dalam meningkatkan semangat siswa dalam menghafal, (b) guru menyusun RPP, (c) guru menentukan metode, (d) guruakan memberikan reward, (2) Pelaksanaan strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MTsN 1 Tulungagung adalah : (a) membentuk siswa ke dalam beberapa kelompok, (b) melakukan kegiatan pembiasaan tadarus al-Qur’an, (c) memberikan motivasi, ( d) menyampaikan materi ilmu tajwid, (e) muraja’ah, (f) setoran hafalan, (3) Evaluasi strategi guru al-Qur’an hadits dalam meningkatkan semangat hafalan juz ‘amma siswa kelas viii di MtsN 1 Tulungagung yaitu dengan melihat adanya hambatan yang di alami siswa pada saat proses pembelajaran berlangsung, hambatan yang dialami siswa terdapat dua faktor yaitu faktor internal dan faktor eksternal (a) faktor internal meliputi kurang fokusnya siswa dalam mengikuti pembelajaran, muncul rasa malas, lelah dan jenuh (b) faktor eksternal meliputi faktor dari keluarga, teman, dan lingkugan sekitar

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Video-based monitoring is essential nowadays in cattle farm management systems for automated evaluation of cow health, encompassing body condition scores, lameness detection, calving events, and other factors. In order to efficiently monitor the well-being of each individual animal, it is vital to automatically identify them in real time. Although there are various techniques available for cattle identification, a significant number of them depend on radio frequency or visible ear tags, which are prone to being lost or damaged. This can result in financial difficulties for farmers. Therefore, this paper presents a novel method for tracking and identifying the cattle with an RGB image-based camera. As a first step, to detect the cattle in the video, we employ the YOLOv8 (You Only Look Once) model. The sample data contains the raw video that was recorded with the cameras that were installed at above from the designated lane used by cattle after the milk production process and above from the rotating milking parlor. As a second step, the detected cattle are continuously tracked and assigned unique local IDs. The tracked images of each individual cattle are then stored in individual folders according to their respective IDs, facilitating the identification process. The images of each folder will be the features which are extracted using a feature extractor called VGG (Visual Geometry Group). After feature extraction task, as a final step, the SVM (Support Vector Machine) identifier for cattle identification will be used to get the identified ID of the cattle. The final ID of a cattle is determined based on the maximum identified output ID from the tracked images of that particular animal. The outcomes of this paper will act as proof of the concept for the use of combining VGG features with SVM is an effective and promising approach for an automatic cattle identification systemCitation: Su Larb Mon, Tsubasa Onizuka, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin, AI-enhanced real-time cattle identification system through tracking across various environments, Scientific Reports, 14(1), 2024-08-01, https://doi.org/10.1038/s41598-024-68418-

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